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55 Years Ago: Five Months Until the Moon Landing


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Following the success of the Apollo 8 circumlunar mission, NASA believed that it could achieve a Moon landing by the summer of 1969 and meet President John F. Kennedy’s goal. Much work remained to accomplish that objective. Three crews and their backups trained for the next three Apollo missions while workers at NASA’s Kennedy Space Center (KSC) in Florida prepared the spacecraft and rockets for those flights. With Apollo 9 in the home stretch to test the Lunar Module (LM) in Earth orbit in early March, preparations also continued for Apollo 10 in May, a lunar orbit test of the LM that served as a dress rehearsal for the Moon landing, and for Apollo 11, the landing mission itself planned for July.

Apollo 8

Apollo 8 astronaut Frank Borman and his wife Susan, at left, meet the Royal family at Buckingham Palace during the London stop of their European tour Borman, left, meets with French President Charles de Gaulle and U.S. Ambassador to France R. Sargent Shriver during the Paris stop of the tour In Den Haag, The Netherlands, Apollo 8 astronaut Borman, right, describes the Lunar Module to Queen Juliana
Left: Apollo 8 astronaut Frank Borman and his wife Susan, at left, meet the Royal family at Buckingham Palace during the London stop of their European tour. Middle: Borman, left, meets with French President Charles de Gaulle and U.S. Ambassador to France R. Sargent Shriver during the Paris stop of the tour. Right: In Brussels, Borman, left, presents a model of the Saturn V rocket to Jean Rey, president of the European Commission.

In Den Haag, The Netherlands, Apollo 8 astronaut Borman, right, describes the Lunar Module to Queen Juliana At The Vatican, Borman, left, presents a photograph of the Moon from Apollo 8 to Pope Paul VI The Bormans, Frank, left, Susan, and sons Edwin and Frederick, hold a press conference in Lisbon, the last stop of their European tour
Left: In Den Haag, The Netherlands, Apollo 8 astronaut Borman, right, describes the Lunar Module to Queen Juliana. Middle: At The Vatican, Borman, left, presents a photograph of the Moon from Apollo 8 to Pope Paul VI. Right: The Bormans, Frank, left, Susan, and sons Edwin and Frederick, hold a press conference in Lisbon, the last stop of their European tour.

As President Richard M. Nixon announced on Jan. 30, Apollo 8 astronaut Frank Borman, his wife Susan, and their two children Frederick and Edwin, set off on their European goodwill tour on Feb. 2, flying aboard a presidential Air Force jet. Borman’s Apollo 8 crewmates James A. Lovell and William A. Anders could not participate in the tour because they had already begun training as part of the Apollo 11 backup crew. The Bormans’ 19-day tour took them to London, Paris, Brussels, Den Haag, Bonn, West Berlin, Rome, Madrid, and Lisbon. They met with royalty, politicians, scientists, and Pope Paul VI, gave lectures during which Borman narrated a film from his flight, and held numerous press conferences.

Apollo 9

Apollo 9 astronauts Russell L. Schweickart, left, James A. McDivitt, and David R. Scott pose in front of the control panel for the spacecraft simulators Fisheye lens view of Schweickart, left, and McDivitt in the Lunar Module simulator A technician poses in the Apollo A7L spacesuit, including the Portable Life Support System backpack used for the first time during Apollo 9
Left: Apollo 9 astronauts Russell L. Schweickart, left, James A. McDivitt, and David R. Scott pose in front of the control panel for the spacecraft simulators. Middle: Fisheye lens view of Schweickart, left, and McDivitt in the Lunar Module simulator. Right: A technician poses in the Apollo A7L spacesuit, including the Portable Life Support System backpack used for the first time during Apollo 9.

Apollo 9 astronauts James A. McDivitt, David R. Scott, and Russell L. Schweickart planned to conduct the first crewed test of the LM during their 10-day Earth orbital mission. They and their backups Charles “Pete” Conrad, Richard F. Gordon, and Alan L. Bean spent many hours in the spacecraft simulators and training for the spacewalk component of the mission. The planned spacewalk, the first and only one before the Moon landing mission, would not only test the spacesuit and its Portable Life Support System but also demonstrate an external crew transfer should a problem arise with the internal transfer tunnel or hatches. McDivitt, Scott, and Schweickart provided details of their mission to reporters during a press conference on Feb. 8 at the Manned Spacecraft Center (MSC), now NASA’s Johnson Space Center in Houston. They explained that during the mission phase when the two vehicles fly separately, they will use the call signs Spider for the LM and Gumdrop for the Command Module (CM), lighthearted references to the shapes of the respective spacecraft.

Apollo 9 astronauts Russell L. Schweickart, left, James A. McDivitt, and David R. Scott during the preflight crew press conference at the Manned Spacecraft Center (MSC), now NASA’s Johnson Space Center in Houston Senior NASA management assembled for the Apollo 9 Flight Readiness Review at NASA’s Kennedy Space Center (KSC): Associate Administrator for Manned Flight George E. Mueller, left, Apollo Program Director Samuel C. Phillips, KSC Director Kurt H. Debus, MSC Director Robert R. Gilruth, and Marshall Space Flight Center Director Wernher von Braun
Left: Apollo 9 astronauts Russell L. Schweickart, left, James A. McDivitt, and David R. Scott during the preflight crew press conference at the Manned Spacecraft Center (MSC), now NASA’s Johnson Space Center in Houston. Right: Senior NASA management assembled for the Apollo 9 Flight Readiness Review at NASA’s Kennedy Space Center (KSC): Associate Administrator for Manned Flight George E. Mueller, left, Apollo Program Director Samuel C. Phillips, KSC Director Kurt H. Debus, MSC Director Robert R. Gilruth, and Marshall Space Flight Center Director Wernher von Braun.

Senior NASA managers met at NASA’s Kennedy Space Center (KSC) in Florida for Apollo 9’s Flight Readiness Review the first week of February. At the end of the meeting, they set the launch date for Feb. 28. The following week, engineers in Firing Room 2 of KSC’s Launch Control Center conducted the Countdown Demonstration Test (CDDT), essentially a dress rehearsal for the actual countdown. On Feb. 12, McDivitt, Scott, and Schweickart participated in the final portion of the CDDT, as they would on launch day, by donning their spacesuits and climbing aboard their spacecraft for the final two hours of the test. Engineers began the countdown to launch on Feb. 26 but had to halt it the next day when the astronauts developed head colds. Managers reset the launch date to March 3, and the countdown restarted on March 1.

The Apollo 9 Saturn V at Launch Pad 39A at NASA’s Kennedy Space Center in Florida during the Countdown Demonstration Test (CDDT) Engineers in the Launch Control Center’s Firing Room 2 monitor the rocket and spacecraft during the CDDT Apollo 9 astronauts Russell L. Schweickart, left, David R. Scott, and James A. McDivitt pose in front of their Saturn V following the CDDT
Left: The Apollo 9 Saturn V at Launch Pad 39A at NASA’s Kennedy Space Center in Florida during the Countdown Demonstration Test (CDDT). Middle: Engineers in the Launch Control Center’s Firing Room 2 monitor the rocket and spacecraft during the CDDT. Right: Apollo 9 astronauts Russell L. Schweickart, left, David R. Scott, and James A. McDivitt pose in front of their Saturn V following the CDDT.

Apollo 10

The three stages of the Saturn V stacked on Mobile Launcher-3 The Apollo 10 spacecraft, the Command and Service Modules and the Lunar Module (LM) encased in the Spacecraft LM Adapter, arrives from the Manned Spacecraft Operations Building Workers lift the spacecraft for stacking onto the rocket, the footpads of the LM’s folded landing gear visible Workers lower the spacecraft onto the Saturn V rocket’s third stage
Stacking of the Apollo 10 vehicle in High Bay 2 of the Vehicle Assembly Building at NASA’s Kennedy Space Center in Florida. Left: The three stages of the Saturn V stacked on Mobile Launcher-3. Middle left: The Apollo 10 spacecraft, the Command and Service Modules and the Lunar Module (LM) encased in the Spacecraft LM Adapter, arrives from the Manned Spacecraft Operations Building. Middle right: Workers lift the spacecraft for stacking onto the rocket, the footpads of the LM’s folded landing gear visible. Right: Workers lower the spacecraft onto the Saturn V rocket’s third stage.

With Apollo 9 on Launch Pad 39A and almost ready to launch, workers in High Bay 2 of KSC’s Vehicle Assembly Building (VAB) completed stacking of the Apollo 10 launch vehicle. The spacecraft, consisting of the Command and Service Modules atop the LM encased in the Spacecraft LM Adapter, arrived from the Manned Spacecraft Operations Building (MSOB) on Feb. 6 and VAB workers stacked it on the Saturn V rocket the same day. Engineers began to conduct integrated tests on the launch vehicle in preparation for rollout to Launch Pad 39B in mid-March. Apollo 10 astronauts Thomas P. Stafford, John W. Young, and Eugene A. Cernan and their backups L. Gordon Cooper, Donn F. Eisele, and Edgar D. Mitchell spent much time in spacecraft simulators and testing their spacesuits in vacuum chambers.

Apollo 11

Apollo 11 astronaut Edwin E. “Buzz” Aldrin, left, confers with support astronauts Ronald E. Evans and Harrison H. “Jack” Schmitt, the only geologist in the astronaut corps at the time, during training for deployment of the Early Apollo Science Experiment Package (EASEP) Astronaut Don L. Lind, suited, practices deploying the EASEP instruments as Aldrin, in white shirt behind the dish antenna, oberves
Left: Apollo 11 astronaut Edwin E. “Buzz” Aldrin, left, confers with support astronauts Ronald E. Evans and Harrison H. “Jack” Schmitt, the only geologist in the astronaut corps at the time, during training for deployment of the Early Apollo Science Experiment Package (EASEP). Right: Astronaut Don L. Lind, suited, practices deploying the EASEP instruments as Aldrin, in white shirt behind the dish antenna, oberves.

With their historic mission only five months away, the Apollo 11 prime crew of Neil A. Armstrong, Michael Collins, and Edwin E. “Buzz” Aldrin and their backups James A. Lovell, William A. Anders, and Fred W. Haise busied themselves training for the Moon landing. Although the primary goal of the first Moon landing mission centered on demonstrating that the Apollo spacecraft systems could safely land two astronauts on the surface and return them safely to Earth, the surface operations also included collecting lunar samples and deploying experiments. During their two-and-a-half-hour surface excursion, Armstrong and Aldrin planned to deploy three instruments comprising the Early Apollo Surface Experiment Package (EASEP) – a passive seismometer, a laser ranging retro-reflector, and a solar wind composition experiment. On Jan. 21, 1969, astronauts Harrison H. “Jack” Schmitt, the only geologist in the astronaut corps, and Don L. Lind conducted a simulation of the EASEP deployment in MSC’s Building 9. Aldrin observed the simulation, obviously with great interest.

Apollo 11 astronauts Edwin E. “Buzz” Aldrin, left, and Neil A. Armstrong during geology training at Sierra Blanco, Texas Apollo 11 backup astronauts Fred W. Haise, left, and James A. Lovell at the Sierra Blanco geology training session
Left: Apollo 11 astronauts Edwin E. “Buzz” Aldrin, left, and Neil A. Armstrong during geology training at Sierra Blanco, Texas. Right: Apollo 11 backup astronauts Fred W. Haise, left, and James A. Lovell at the Sierra Blanco geology training session.

Generic instruction in geology, including classroom work and field trips, became part of overall NASA astronaut training beginning in 1964. Once assigned to a crew that had a very good chance of actually walking on the lunar surface and collecting rock and soil samples, those astronauts received specialized instruction in geology. On Feb. 24, 1969, the two prime moonwalkers Armstrong and Aldrin, along with their backups Lovell and Haise, participated in their only trip specifically dedicated to geology training. The field exercise in west Texas took place near Sierra Blanca and the ruins of Fort Quitman, about 90 miles southeast of El Paso. Accompanied by a team from MSC’s Geology Branch, the astronauts practiced sampling the variety of rocks present at the site to obtain a representative collection, skills needed to choose the best sample candidates during their brief excursion on the lunar surface. 

Workers mount the S-IC first stage on its Mobile Launcher in the Vehicle Assembly Building at NASA’s Kennedy Space Center in Florida Neil A. Armstrong stands in front of the Lunar Module simulator at the Lunar Landing Research Facility (LLRF) at NASA’s Langley Research Center in Hampton, Virginia Aerial view of the LLRF at Langley
Left: Workers mount the S-IC first stage on its Mobile Launcher in the Vehicle Assembly Building at NASA’s Kennedy Space Center in Florida. Middle: Neil A. Armstrong stands in front of the Lunar Module simulator at the Lunar Landing Research Facility (LLRF) at NASA’s Langley Research Center in Hampton, Virginia. Right: Aerial view of the LLRF at Langley.

By mid-February, all three stages of the Apollo 11 Saturn V had arrived in the VAB, and on Feb. 21, workers stacked the S-IC first stage on its Mobile Launcher in High Bay 1. They finished assembling the rocket in March. In an altitude chamber in the nearby MSOB, on Feb. 10, engineers conducted a docking test between the CM and the LM. Five days later, they mated the ascent and descent stages of the LM for further testing. With the Lunar Landing Training Vehicle (LLTV) still grounded following its December 1968 crash, the Lunar Landing Research Facility (LLRF) at NASA’s Langley Research Center in Hampton, Virginia, remained as the only high-fidelity trainer for the descent and landing of the LM on the Moon. Armstrong practiced landings in the LLRF on Feb 12.

Lunar Receiving Laboratory and Mobile Quarantine Facility

To minimize the risk of back contamination of the Earth with any possible lunar microorganisms, NASA designed and built the 83,000-square-foot Lunar Receiving Laboratory (LRL), residing in MSC’s Building 37. The facility isolated the astronauts, their spacecraft, and lunar samples to prevent any Moon germs from escaping into the environment, and also maintained the lunar samples in as pristine a condition as possible. The Mobile Quarantine Facility (MQF) provided isolation for the returning astronauts from shortly after splashdown until their delivery to the LRL, an activity that required transport of the MQF on a cargo jet aircraft. On Feb. 6, following its return from sea trials, workers placed the MQF inside Chamber A of MSC’s Space Environment Simulation Facility. The test in the large vacuum chamber checked out the MQF’s emergency oxygen supply during a simulated aircraft pressure loss. Three test subjects successfully completed the test.

Workers truck the Mobile Quarantine Facility (MQF) into the Space Environment Simulation Laboratory (SESL) at the Manned Spacecraft Center, now NASA’s Johnson Space Center in Houston Workers install the MQF in Chamber A of the SESL for a test of the emergency oxygen system Test subjects inside the MQF prepare for the emergency oxygen system test in the SESL
Left: Workers truck the Mobile Quarantine Facility (MQF) into the Space Environment Simulation Laboratory (SESL) at the Manned Spacecraft Center, now NASA’s Johnson Space Center in Houston. Middle: Workers install the MQF in Chamber A of the SESL for a test of the emergency oxygen system. Right: Test subjects inside the MQF prepare for the emergency oxygen system test in the SESL.

To be continued …

News from around the world in February 1969:

Feb. 3 – Ibuprofen launched in the United Kingdom as a prescription anti-inflammatory analgesic.

Feb. 5 – The population of the United States reaches 200 million.

Feb. 7 – British band The Who record their song “Pinball Wizard.”

Feb. 7 – Diane Krump becomes the first woman jockey at a major U.S. racetrack (Hialeah, Florida).

Feb. 8 – The Allende meteorite weighing nearly two tons explodes in mid-air and fragments fall on Pueblito de Allende, Chihuahua, Mexico.

Feb. 9 – First flight of the Boeing 747 Jumbo Jet from Everett, Washington.

Feb. 21 – First launch of U.S.S.R.’s N-1 Moon rocket, not successful.

Feb. 24 – U.S. launches Mariner 6 to fly-by Mars.

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Feb 20, 2024

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      An integral part of a successful satellite mission is a robust and active ground validation (GV) program. During the TRMM era, the TRMM PR, and/or the TRMM PMW radiometer instruments limited GV to simple comparisons of rain rates to surface measurements from radars and/or rain gauges, which is referred to as statistical validation. It soon became obvious that a more robust GV program would be needed to better aid future satellite algorithm developers to improve the physics of their algorithms rather than just justifying tweaking their outputs. As a result, unlike TRMM, GPM’s GV program has been part of the mission concept from its inception. The GPM team developed a three-tiered approach that uses:  statistical validation, as done during TRMM; physical validation, where the emphasis is on better understanding of the physics and microphysics of different precipitating systems; and hydrological validation, which emphasizes improving precipitation retrievals over large-scale areas (e.g., watersheds).
      To address these goals, there have been several pre- and post-launch field campaigns conducted. In chronological order, these include the:
      Light Precipitation Evaluation Experiment (LPVEx), a prelaunch field campaign taking place in September and October 2010 over the Gulf of Finland; GPM Cold Season Precipitation Experiment (GCPEX) over and near the Ontario, Canada/Great Lakes Environment Canada Centre for Atmospheric Research Experiments (CARE) from January 17 to February 29, 2012; Mid-Latitude Continental Convective Cloud Experiment (MC3E) in north–central Oklahoma, April 22 to June 6, 2012; Iowa Flood Studies (IFloodS)) in eastern Iowa, May 1 to June 15, 2013; Integrated Precipitation & Hydrology Experiment (IPHEx) from May 1 to June 15, 2014, in the mountains of central North Carolina; and  Olympic Mountain Experiment (OLYMPEX), the last full-scale, postlaunch, and GPM-sponsored field campaign – and one of the most logistically challenging – conducted over the Olympic Peninsula and adjacent waters from November 1, 2015 to January 31, 2016. Each of these field campaigns were designed to provide insight into different precipitation regimes and types to improve GPM satellite observations. For example, MC3E allowed for comprehensive observations of intense convection over continental regions. The researchers deployed an extensive network of ground instruments (e.g., radars, disdrometers, rain gauges), in coordination with flights of NASA’s ER-2 and University of North Dakota’s Cessna Citation II research aircrafts, to sample varied precipitation types (e.g., severe thunderstorms, Mesoscale Convective Systems (MCS)). Data from MC3E allowed for improvement of both active (DPR) and passive (GMI) retrievals over land. GCPEx has allowed for sampling of snowing systems. During this campaign, NASA’s ER-2 flew high above the clouds in coordination with NASA’s DC-3 aircraft flying within the clouds. Here again, GCPEx participants deployed a vast network of ground instruments (e.g., snow gauges, disdrometers). The goal for GCPEx was to formulate and validate frozen/mixed precipitation retrievals from the GPM satellite. (Note that from 2011–2015, The Earth Observer published articles on five of the six GV campaigns described in this section; the reader can locate these articles on The Earth Observer Archives Page. Scroll down to the “Bibliography of Articles with Historical Context Published in The Earth Observer” listicle and look for Field Campaigns.)
      While these large-scale campaigns were extremely beneficial for achieving GPM science objectives, the costs of deploying instruments and personnel in these remote regions can be substantial. In order to provide long-term measurements at reasonable costs, the GPM GV established the Precipitation Research Facility (PRF) at the Wallops Flight Facility (WFF). The goal of this facility was to provide long-term measurements from the myriad instruments that have been deployed at the various field campaigns and manage them with full-time GV personnel. The linchpin of the PRF is NASA’s S-band, Dual-Polarimetric Radar (NPOL) – see Photo 1. NPOL was deployed in a farm field about 38 km (~24 mi) northeast of WFF to provide areal estimates of surface precipitation as well as profiles of precipitating systems above other GV surface instruments (e.g., profiling radars, disdrometers, and rain gauges). To add to this effort, the PRF staff established a network of rain gauges and disdrometers, which are deployed over the eastern shore of Maryland. These data are telemetered so that an added benefit to this effort is that the GPM GV data provide valuable, near-real-time data to many of the numerous farmers on the Delmarva Peninsula. The PRF’s principal activity is to design new GV instruments, test new validation methods, and assess instrument uncertainties using the abundant infrastructure of the GPM GV validation program. This coordination between GPM GV instruments, WFF-based staff, and regional data collection, quality control, and analysis are the core components of the PRF.
      Photo 1. The NASA S-Band Dual Polarimetric Radar (NPOL) deployed in central Iowa in support of the IFloodS field campaign in Iowa during the spring of 2013. The radar, when disassembled, fits within the five, white sea-containers located around the radar in this photo; it can be transported via 18-wheelers. In addition to IFloodS, NPOL has also been deployed for field campaigns in Oklahoma (MC3E), North Carolina (IPHEx), and Washington (OLYMPEX) – all of which are mentioned in the text above. Photo credit: David Wolff/WFF GPM Data Products
      GPM data products and services have played an important role in research, applications, and education. The Precipitation Processing System (PPS) housed at NASA’s Goddard Space Flight Center (GSFC) produces and distributes GPM products that are archived and distributed at the Goddard Earth Sciences Data and Information Services Center (GES DISC) as well.
      GES DISC is one of a dozen discipline-oriented Distributed Active Archive Centers (DAACs) that NASA operates for processing the terabytes of data returns from its satellites, aircraft, field campaigns, and other sources. (To learn more about Earth Science Data Operations, which includes the DAACs, see Earth Science Data Operations: Acquiring, Distributing, and Delivering NASA Data for the Benefit of Society. The Earth Observer, Mar–Apr 2017, 29:2, 4–18.  A chart listing all the DAACs appears on pp. 7–8 of this article.)
      In addition to precipitation estimates, users can access variables, such as calibrated TB, radar reflectivity, latent heating, and hydrometeor profiles in GPM products. See the Table 1 below for a listing of NASA GPM data products. 
      Table 1. Overview of GPM data collection.
      Product Level Products and Description Level 1 (L1)1 1A – Reconstructed, unprocessed instrument data at full resolution for GPM GMI; TRMM TMI 1B – Brightness temperatures (Tb) for GPM GMI; and TRMM TMI, PR, and VIRS1C – Calibrated Tb for GPM GMI, TRMM TMI, and a constellation of PMW radiometers. Level 2 (L2)2 2A Radar – Single-orbit radar rainfall estimates for GPM DPR, Ka, Ku; TRMM PR2A Radiometer (GPROF & PRPS) – Single-orbit PMW rainfall estimates from GPM GMI, TRMM TMI, and constellation radiometers; 2B Combined – Single-orbit rainfall estimates from combined radar/radiometer data (e.g., GPM GMI & DPR; and TRMM TMI & PR); and 2H CSH – Single-orbit cloud (latent) heating estimates from combined radar/radiometer data (GPM GMI & DPR, TRMM TMI & PR). Level 3 (L3)3 IMERG Early Run – Near real-time, low-latency gridded global multi-satellite precipitation estimates; IMERG Late Run – Near real-time, gridded global multi-satellite precipitation estimates with quasi-Lagrangian time interpolation; and IMERG Final Run – Research-quality, gridded global multisatellite precipitation estimates with quasi-Lagrangian time interpolation, gauge data, and climatological adjustment. 3A Radar – Gridded rainfall estimates from radar data (GPM DPR, TRMM PR). 3A Radiometer (GPROF) – Gridded rainfall estimates from GPM GMI, TRMM TMI, and constellation PMW radiometers; 3B Combined – Gridded rainfall estimates from combined radar/radiometer data (GPM GMI & DPR, TRMM TMI & PR); 3G CSH – Gridded cloud (latent) heating estimates from combined radar/radiometer data (GPM GMI & DPR, TRMM TMI & PR). Product Definitions: 1 Level 1 (L1): L1A data are reconstructed, unprocessed instrument data at full resolution, time referenced, and annotated with ancillary information, including radiometric and geometric calibration coefficients and georeferencing parameters (i.e., platform ephemeris), computed and appended – but not applied, to Level-0 (L0) data; L1B data are radiometrically corrected and geolocated L1A data that have been processed to sensor units; and L1C data are common intercalibrated brightness temperature (Tb) products that use the GPM Microwave Imager (GMI) L1B data as a reference standard. 2Level 2 (L2) products are derived geophysical parameters at the same resolution and location as those of the L1 data. 3Level 3 (L3) products are geophysical parameters that have been spatially and/or temporally resampled from L1 or L2 data. List of acronyms used in Table (in order of occurrence): GPM Microwave Imager (GMI); TRMM Microwave Imager (MI); TRMM Precipitation Radar (PR); Visible and Infrared Scanner (VIRS); Dual-frequency Precipitation Radar (DPR); Ku-band and Ka-band channels; GPM Profiling Algorithm (GPROF); Precipitation Retrieval and Profiling Scheme Algorithm (PRPS); Integrated Multi-satellitE Retrievals for GPM (IMERG); Goddard Convective-Stratiform (CSH) (Latent) Heating Algorithm.
      Detailed information of each product and links for data access and visualizations are available on NASA GPM Data Directory.
      From the beginning, GPM was conceptualized as incorporating all available satellite data – not as a single-satellite mission. One of the key mission requirements of the PPS was to ensure that processing and reprocessing always include data from the TRMM era (starting in December 1997). Algorithm development would ensure that the same algorithm would be used to process both TRMM- and GPM-era data collected from the TRMM and GPM spacecrafts and the GPM constellation. As a result, an important part of this cross-mission processing is the intercalibration of PMW radiometers using GMI. Using data from the overlap period of GMI and TMI, TMI is intercalibrated to GMI and is then used to intercalibrate the radiometer data during the TRMM era. This intercalibration manifests itself in the intercalibrated brightness temperatures (Tc) provided in the Level 1C (L1C) product for each radiometer. The GPM Profiling Algorithm (GPROF) retrieval uses these intercalibrated L1C products and guarantees consistent mission intercalibrated precipitation retrievals. For example, the L2 product stage that converts TB into precipitation estimates applies the same GPROF to the GPM constellation of PMW radiometers.
      Continued Improvement of GPM Algorithms
      One important achievement of GPM is the continued improvements in GPM’s algorithms that produce the immense amount of precipitation data that are used by scientific researchers and stakeholders alike. GPM’s five algorithms – DPR-, GPROF-, Combined-, Convective-Stratiform Heating-, and Multisatellite – have all undergone version updates several times (e.g., Version 01–07), with additional updates planned for the next 1–4 years. Each update entails a tremendous amount of work behind the scenes from GPM’s algorithm developers to ensure that quality data are available to the public.
      Each new version provides a complete reprocessing of the entire data record using the improved retrieval algorithms, based on validation against reliable GV data, feedback from users, new understanding of the processes, and improved techniques. This not only helps ensure a consistent data record and fair comparisons against past events but also helps refine and improve the data to capture precipitation phenomena more exactly. Just as an original photograph capturing a past event can be reanalyzed with new technology, reprocessing revisits the observed satellite instruments’ “raw” radiances and refines the process of converting them to the end product of precipitation quantities.
      “We know more now about the global rain and snowfall in, say, 2010, than we did when it actually happened.” – George Huffman [GPM Project Scientist]
      This process is an inverse problem that helps determine the physical quantities (e.g., precipitation rate) given the observed signal (e.g., microwave radiance). For precipitation, this retrieval process relies on complex algorithms and is by no means straightforward. This is an underconstrained problem where different combinations of physical quantities can give the same observed signal, especially for passive instruments. Thus it requires additional information or assumptions.
      The aim of each version in GPM is to have “better” estimates of the precipitation variables than the previous version. However, what better means can involve trade-offs. An excellent example is a change implemented from V06 to V07 in one of GPM’s most widely-used products – the Integrated Multi-satellitE Retrievals for GPM (IMERG) algorithm – which is NASA GPM’s multisatellite product that combines information from the GPM satellite constellation to estimate precipitation over the majority of the Earth’s surface. The resulting IMERG products provide near-global precipitation data at a resolution of 10 km (~6mi), every 30 minutes covering latitudes of 60°N–60°S, and are available at different latencies (Early, Late, and Final, as defined in Table 1) to cater to a range of end-user communities for operational and research applications. IMERG is particularly valuable over areas of Earth’s surface that lack ground-based, precipitation-measuring instruments, including oceans and remote areas. Specifically, this change to IMERG V07 resulted in improvements towards the distribution of precipitation rates, allowing for a better representation of precipitation areas and extremes. However, it reduced correlation against ground reference data. Another example is the gauge adjustment process in IMERG that offers a substantial improvement at the expense of higher random error.
      The result of these intricate reprocessing cycles is a family of precipitation products that improves accuracy, a longer record, and expanding coverage, all while responding to feedback and requests from users. This is especially the case for downstream products like IMERG, which is widely used for science and applications due to its completeness and regularity, and inherits the improvements in each reprocessing cycle across the family.
      Meeting User Needs
      The number one requirement on PPS was to provide well-curated standard reference products with carefully curated provenience. For each data product version, a complete record is kept of spacecraft maneuvers and issues, data input issues, and data formats. This makes GPM data products a standard against which others can be compared and the standard products themselves improved.
      The GPM mission also requires near-real-time (NRT) products. As a research agency, NASA does not generally specify operational NRT requirements. Instead, these NRT products are usually provided on a “best effort” basis. During its core mission (the first three years), PPS did have NRT requirements. Since then, PPS continues to fulfill these as budget permits. The half-hourly 0.1 x 0.1º L3 global IMERG products are provided in NRT with latency objectives for the IMERG Early (Late) run of 4+ (14+) hours after data collection.
      To facilitate data interoperability and interdisciplinary science, the PPS and the Goddard Earth Sciences Data and Information Services Center (GES DISC) have developed value-added data services and products since the TRMM era, including data subsetting (spatial and temporal), L3 data regridding, network common data form (NetCDF) format conversion, remote data access (e.g., via Open Data Access Protocol (OPeNDAP), Grid Analysis and Display System (GrADS) Data Server [GDS]), NASA GIS translation of GPM data for various accumulation periods, GPM Applications Programming Interface (API), and data visualization tools. For example, the more technical Hierarchical Data Formats (HDF) mission IMERG products are reformatted and accumulated to GIS-friendly additions in Geographic Tagged Image File Format (geoTIFF) format for both Early and Late Run IMERG products at 30-min, 3-hour, and 1-day temporal resolution. Other value-added products include the daily products for IMERG Early, Late, and Final Runs from GES DISC. Quick visualization tools, such as the IMERG Global Viewer, are freely available to the public to access and view the latest NRT GPM IMERG global precipitation datasets at 30-minute, 1-day, and 7-day intervals, on an interactive 3D globe in a web browser. User services and tutorials (e.g., Frequently Asked Questions, How-Tos, help desk, user forum) are also available across the GPM, PPS, and GES DISC webpages.
      Along with the other DAACs, GES DISC is facilitating data access and use by migrating its products and services to NASA’s Earthdata cloud. Once the migration is finished, users will be able to access all NASA’s Earth data products from the 12 DAACs in one place, which can simplify interdisciplinary science studies. Over 50% of the archived GES DISC products have been migrated to the cloud as of this writing. Users can either access them directly in the NASA Earthdata cloud environment or download data in their own computing environment. 
      To broaden the GPM user community – especially for users who are either non-technical or not familiar with NASA data – GES DISC has developed an online interactive tool called Giovanni, for viewing, analyzing, and downloading multiple Earth science datasets (including GPM) from within a web browser, allowing users to circumvent downloading data and software. At present, GPM L3 precipitation products (IMERG) along with over 2000 interdisciplinary variables from other NASA missions or projects are available in Giovanni. Over 20 plot types are included in Giovanni to facilitate data exploration, product comparison, and research. Links to results and data can be shared with colleagues. Data in different formats (e.g., NetCDF, comma separated values, or CSV) can be downloaded as well. A list of referral papers utilizing Giovanni is available. 
      Data services continue to evolve to meet increasing user requirements, such as the Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles, open science, data integration, interdisciplinary science, and data democratization.
      Science and Societal Application Highlights from 10 Years of Observing Precipitation with GPM
      As scientists and stakeholder organizations have made use of GPM datasets for analysis and research over the past decade, myriad scientific discoveries have been made leading to the emergence of a wide variety of real-time and retrospective societal applications for GPM data. These GPM user communities continue to dig into scientific questions and provide time-critical decision support to the public. This portion of the article highlights several of the scientific and application achievements made possible since the mission launched in 2014. This list is not intended to be exhaustive, but rather demonstrates GPM’s unique accomplishments and what the mission offers for science and society.
      Capturing Microphysical Properties and Vertical Structure Information of Precipitating Systems
      Figure 2. Seasonal average cloud latent heating at a height of 6 km (~4 mi) derived from GSFC’s Goddard Convective–Stratiform (Latent) Heating Algorithm (CSH) algorithm for the period December 2020–November 2023. Heating arises from cloud and precipitation processes making its spatial distribution highly correlated with precipitation. CSH shows deep, intense cloud heating in the tropics within the Inter Tropical Convergence Zone (ITCZ), west Pacific Ocean, and tropical land masses. Broad areas of heating at higher latitudes are associated with midlatitude storm tracks. Seasonal shifts in heating are most prominent over land. Image credit: Steven Lang /GSFC/Science Systems and Applications, Inc. (SSAI) One of GPM’s main charges was to provide microphysical properties and vertical structure information of precipitating systems using passive and active remote sensing techniques. Measurements of the vertical structure of clouds are fundamentally important to improving our understanding of how they affect both local- and large-scale environments. Achieving this goal has required considerable enhancement of the NASA GPM algorithms – including the DPR, GPROF, Combined (CMB), and Convective–Stratiform (Latent) Heating (CSH) algorithms – from their original capabilities at the time of launch.
      The advanced instrumentation of GPM’s dual-frequency, Ku/Ka-band radar added new capabilities beyond the TRMM PR’s single Ku band. As a result, the DPR algorithms provide vertical hydrometeor profiles at the radar range bin level [~5 km (~3 mi) horizontal, 125 m (~410 ft) vertical]. Such detailed measurements are critical for classifying precipitation events (e.g., convective or stratiform) and characterizing the dominant types of precipitation particles, precipitation characteristics, and freezing level height. Additionally, these DPR algorithms have played a significant role in retrieving parameters of the particle size distribution (PSD) in rain. All of these factors help support and elucidate the understanding of storm systems and their impacts at local and regional scales.
      More recently falling snow microphysics have received increasing attention. Characterizing snow remains a challenging problem for precipitation measuring/modeling due to varying particle habits, shapes, and snow mass densities. The higher frequencies added on both the DPR and GMI instruments have enabled improved observations of ice and snow, not only revealing new insights into the intensity and microphysical composition of cold-season precipitation but enabling an increased understanding of precipitation, clouds, and climate feedbacks.
      Another important parameter that is derived from GPM vertical profile information is latent heating (LH), which is so named because it measures the “hidden” energy when water changes phase but doesn’t impact its temperature. The vertical structure of LH is a key parameter for understanding the coupling of the Earth’s water and energy cycles. Although it cannot be directly observed, GPM-derived precipitation estimates, microphysical properties, and vertical structure provide critical information for inferring the vertical structure of LH – see Figure 2. Researchers can access this information using the U.S. Science Team’s CSH datasets as well as the Japanese Science Team’s Spectral Latent Heating (LSH) datasets. GPM’s sampling of higher latitudes – not available from TRMM ­– has resulted in estimates of the intensity and variability of 3D LH structures of precipitation systems beyond the tropics. The CSH algorithm has advanced during the GPM era due to improvements in numerical cloud models and higher accuracy vertical precipitation structure profiles.
      Improve knowledge of Precipitation Systems, Water Cycle Variability, and Freshwater Availability
      A key success of GPM – both from information from the GPM–CO and from combining with the information from the constellation satellites – is the expansion of knowledge of precipitation systems both in the tropics and at middle and high latitudes. In addition, the program contributes to water availability and variations in time and space. The radar and PMW instruments on the GPM–CO lead to the most accurate surface precipitation rate estimates and vertical structure of the systems, allowing researchers to study key features of these systems on an instantaneous basis and then compile precipitation statistics over time for accurate climatological determinations. The inclined orbit of the GPM–CO results in sampling the entire diurnal (day–night) cycle of precipitation, which is key information for validating numerical models. By combining the “best estimate” data from the GPM–CO with more frequent precipitation estimates from GPM constellation satellites results in the IMERG analyses (30-min resolution), which has allowed for the examination of fine-scale variations in all types of systems, the application of the IMERG NRT analyses for monitoring precipitation systems, and the use in a multitude of applications  (e.g., hydrology, agriculture, and health) that depend on fresh water availability information.
      In the tropics, the GPM–CO data have been combined with similar data from TRMM for a 25-year total observational record to study the rainfall structure and variations of tropical cyclones, the Intertropical Convergence Zone (ITCZ), and the mean rainfall climate of the tropics. Tropical mesoscale systems have been tracked with the 30-minute IMERG data to understand their life cycles and contributions to climatological rainfall. Tropical cyclone precipitation has been analyzed to understand storm initiation and variations with time over various ocean basins. Hailstorms have been studied with specifically developed hail algorithms over various continents, with particular focus on the extremely intense storms over South America.
      In midlatitudes, the structure of large-scale cyclonic systems, including atmospheric rivers (ARs), have been examined, as well as their relation to moisture source regions and impact in driving heavy precipitation events. At higher latitudes, GPM’s focus on better precipitation retrievals – especially related to snow detection and estimation – has led to improved knowledge of storm systems in this important, changing environment.
      Looking across the globe, extreme precipitation events – often with accompanying flood and landslide events – have also been examined and cataloged, both on a local and regional basis, but with increasing ability on a quasi-global basis as the time record extends forward.
      On longer timescales, the GPM–CO (and TRMM) data have contributed to our knowledge and estimates of mean climatological precipitation providing different estimates (from different products) for intercomparison and through “best estimate” ocean climatological values using combined radar data and passive microwave information from GPM, TRMM, and CloudSat. This best estimate is used to calibrate a new, long-term Global Precipitation Climatology Project (GPCP) monthly analysis (1983–present), which has resulted in a refined estimate of the mean ocean climatological value, that fits global water and energy budget studies better – see Figure 3. The GPM IMERG analyses are also now used as a key input to the GPCP global daily analyses, enabling finer-resolution climatological studies.
      Figure 3. Example of Global Precipitation Climatology Project (GPCP) Daily Climate Data Record (CDR) for January 28, 2018. GPCP incorporates GPM–CO and IMERG information to produce maps like the one shown here. Image credit: Bob Adler/University of Maryland, College Park, Earth System Science Interdisciplinary Center (ESSIC)] GPM Precipitation Estimates Improving Climate Models and Constraining Predictions
      The multifaceted, multiscale physical processes that affect precipitation locally and globally continue to be a challenge for climate models to accurately represent. Ongoing research and analysis reveals that the process-level representation is a much stronger constraint on climate model prediction fidelity than mean state climatological skill. Though high-quality climate models, such as the Coupled Model Intercomparison Project (CMIP), are currently not run at the resolution of GPM observations, they are increasingly simulating cloud and thunderstorm-scale rainfall as subcomponents within their lower-resolution grid boxes. This allows for the model-simulated rain intensity over thunderstorm areas to be compared with GPM precipitation estimates that are averaged over the equivalent GPM DPR-identified convective cloud types. This evaluation inevitably involves assessing extremes, and with 10 years and counting of GPM data now avaiable, such extremes in different weather regimes will be increasingly useful to study – see Figure 4.
      Figure 4. Average rainfall patterns from 2014–2020 in January using the NASA Goddard Institute for Space Studies’ (GISS) – E3 climate model [top] and precipitation estimates derived from GPM’s multisatellite product, IMERG [bottom]. Climate models such as the GISS-E3 must accurately simulate seasonal cycles observed by GPM for their predictions to be more reliable. Using the GPM rainfall magnitudes as benchmarks, new model equations are being developed to improve this area of rainfall simulation and improve climate projections. Image credit: Greg Elsaesser/GISS Additionally, the diurnal cycle of precipitation – another challenge for climate models to simulate – remains an important focus. Recent studies have suggested that the systematic differences in cloud occurrence across the diurnal cycle are crucially important for atmospheric water vapor changes as well as cloud feedbacks and their role in climate change. This expanded understanding provides even more motivation for improving diurnal cycle representation in models. With the long GPM record, diurnal precipitation composites can be made in varying weather or climate states (e.g., El Niño/Southern Oscillation), and additional novel analyses of regime-dependent diurnal cycle composites will be important for constraining processes.
      Figure 5. Schematic of GPM observed latent heating in convective cores (i.e., thunderstorms) relative to a larger thunderstorm complex (i.e., mesoscale convective system). Image credit: Greg Elsaesser; model is from a May 2022 paper published in Journal of Geophysical Research: Atmospheres Availability of and improvements in GPM estimated stratiform rainfall will progressively enable addressing the longstanding deficiencies in simulating mesoscale convective systems – see Figure 5. Alongside use of “process-relevant” precipitation diagnostics, new efforts seek to use machine learning techniques to ensure that numerous climatological water and energy cycle diagnostics remain in good agreement with GPM and other satellite estimates. These joint efforts that leverage both mean-state global precipitation estimates plus the process-oriented precipitation diagnostics will ensure that coarser-resolution climate models that support numerous CMIP experiments will increase in predictive capability.
      GPM Applications: Continuing to Grow and Enable Communities Across Local and Global Scales
      As noted above, one GPM focus is the application of satellite precipitation estimates for societal decision-making. As a result, GPM data have supported applications such as weather forecasting, water resource management, agriculture and food security monitoring, public health, animal migration, tropical cyclone location and intensity estimation, hydropower management, flood and landslide monitoring and forecasting, and land system modeling – see Figure 6.
      Figure 6. GPM Applications icon highlights six thematic and primary societal application areas supported by GPM data: ecological management, water resources and agriculture, energy, disasters monitoring and response, public health, and weather and climate modeling. Image credit: GPM website; Mike Marosy/GSFC/Global Science and Technology Inc. (GST) To support this focus, the GPM Applications team strives to focus on engaging users through trainings and interviews, workshops, webinars, and programs, with the objective of guiding new and existing users to integrate GPM data into their systems and processes to drive actions that positively impact society. These activities help elucidate data needs and identify data barriers faced by stakeholders. The team also helps identify opportunities and gaps to create effective engagement and outreach resources and help facilitate the use of GPM data to support decision making and improve situational awareness across different sectors. All of these efforts have helped increase the visibility of GPM and attract new users from federal and state partners, academic institutions, international agencies and non-governmental organizations (NGOs), and private and non-profit companies. A few examples of GPM Application engagement activities since launch include:
      three GPM Mentorship Programs that bridge the gap between GPM scientists and application communities to promote operational applications; seventeen GPM trainings to support new and existing users on data access and use for applications; six GPM stakeholder-driven application workshops to facilitate discussions between scientists and end users of GPM data about how NASA data could be better leveraged to inform decision making for societal applications; and three white papers that articulate and identify user needs and data requirements across communities. The GPM Applications team has tabulated over 10,000+ unique users across 130 countries who have accessed or routinely access GPM data from NASA data archives. Additionally, the value of these activities can be seen in over 175 GPM case study application examples that have been publicized at NASA, featured on social media and posted at NASA GPM Applications webpage, over the last 5 years alone – see sampling of applications in Figure 7.
      Figure 7. Collage of GPM case study examples enabling societal applications, including weather forecasting, nowcasting of extremes, agricultural and drought monitoring, weather index insurance, and data management platforms. Image credit: Andrea Portier /GSFC/ SSAI Over the past decade of GPM observations, several themes have emerged with these efforts across the applications community. One key component of enabling GPM applications is the ability to access and download NRT data products that meet applications needs. About 40% of GPM end users rely on NRT GPM products for time-sensitive applications. Additionally, GPM’s global-gridded IMERG product plays a significant role for applications. It is used nearly 17 times more for research and applications compared to other GPM products, with ~30% of users accessing and downloading IMERG Early and Late NRT data and applying them towards operational uses. As noted earlier, the reprocessing of all TRMM precipitation-era data using the IMERG algorithm ensured a longer, continuous precipitation data record with consistent retrievals that are available from June 2000 to the present. The longer precipitation record has enabled new science research and data applications to benefit society across a diverse range of end-users, helping them to compare and contrast past and present data to support and develop more accurate climate and weather models, understand normal and anomalous extreme precipitation events, and strengthen the baseline information and situational awareness for applications, such as disasters, agriculture and food security, water resources, and energy production. Table 2 presents several broader examples of how these GPM data products are used for societal applications. The subsections that follow demonstrate the value of GPM data to facilitate research and applications even more through case studies.
      Table 2. The table includes examples of user communities, by organizational sectors, that highlight how GPM data products are being used for situational awareness and decision-making. Application description includes type of GPM level products. For more information on level product definitions, see NASA Data Product Levels and GPM Data Directory.
      User Community Topic Application of GPM Data Meteorological agencies and organizations Numerical weather prediction Assimilation of Level 1 (L1) PMW TBs for initializing numerical weather prediction model runs to improve weather forecasts Tropical cyclones Improved characterization of tropical cyclone track and intensity using GPM L1 and L2 products to improve weather forecasts and provide more accurate hurricane warnings Subseasonal to seasonal and climate modeling Verification and validation of seasonal and climate modeling using L2 LH products and IMERG (Final) to improve understanding and predictability of climate behavior Data-driven agriculture organizations Agricultural forecasting and food security Integration of IMERG (Early, Late) precipitation estimates within agricultural models to estimate growing season onset and crop productivity Disaster risk management organizations Flooding Incorporation of IMERG (Early, Late) in hydrologic routing models for flood estimation Disaster response and recovery Situational awareness of extreme precipitation using IMERG (Early, Late) in potentially affected areas to support disaster response and recovery efforts Disaster risk management platforms Integration of IMERG (Early, Late, Final) into models to deliver real-time weather insights to customers Energy infrastructure and management organizations Renewable energy infrastructure and management Assessment of freshwater inputs and quantification of water fluxes using IMERG (Early, Late, Final) as a precipitation data source for hydropower development, production, and flow forecasting Reinsurance companies Parametric insurance and reinsurance modeling Definition of extreme precipitation thresholds using IMERG (Early, Late, Final) for developing multiperil index-based insurance products and improve situational awareness of rainfall to trigger policy payouts Water resource management organizations and companies Water resources and drought Evaluation of precipitation anomalies using IMERG (Final) leveraging the extended temporal record, and assessment of freshwater input using IMERG (Early, Late) to basins and reservoirs to better quantify water fluxes Public health Vector- and water-borne disease monitoring Tracking of precipitation variations using IMERG (Early, Late, Final) with other environmental variables to track and predict vector or water-borne diseases and issue public health alerts Operational Numerical Weather and Hurricane Prediction
      Looking towards the application of GPM L3 products, several agencies [e.g., the U.S. Air Force’s (USAF) Weather Agency (557th Weather Wing), Environment and Climate Change Canada (ECCC), and the Australian Bureau of Meteorology] use IMERG to support reanalysis of NWP models to conduct data assimilation and validation activities and as inputs to numerical models. For example, the USAF ingests IMERG Early into its operational weather forecasts and advisories, supporting global land surface characterization capabilities. This information is then provided routinely to decision-makers across the military, agricultural, and research sectors.
      Water Resources, Agricultural Forecasting and Food Security
      GMI L1 TB products are operationally assimilated into numerical weather prediction (NWP) models across the globe to improve short- to long-term weather forecast quality (by tuning and developing microphysics and convection parameterizations) and correct the track forecasts for tropical cyclones. Agencies and organizations, such as NASA’s Global Modeling Assimilation Office (GMAO), the National Oceanic and Atmospheric Administration’s (NOAA) National Hurricane Center (NHC), Naval Research Laboratory (NRL), and European Centre for Medium-Range Weather Forecasts (ECMWF) ingest GMI TB data to support their operational systems. For example, the all-sky assimilation of GMI Tb over ice-free ocean surfaces helps improve initial conditions and overall forecast quality to ECMWF’s 24-hour forecasts, increasing not only the number of satellite observations assimilated but also the types of variables analyzed, such as hydrometeors (e.g., liquid cloud, ice cloud, rain, and snow).
      GPM’s L2 precipitation and L3 IMERG products are used as input into hydrological and land surface models to better understand the land–atmosphere interactions and better predict and monitor water resources and agricultural output on scales ranging from days to years. For example, IMERG serves as a key component to Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System hydrology products that are designed to enhance agricultural monitoring in data-sparse regions and support humanitarian response initiatives. IMERG Early products are actively used as a data source for the U.S. Department of Agriculture’s Foreign Agricultural Service operations where IMERG estimates are routinely evaluated against World Meteorological Organization station data above 50˚N latitude for consensus to produce crop assessments in those regions and support extratropical agrometeorological crop monitoring. In the private sector, companies, such as Nutrien Ag Solutions, use IMERG Early precipitation estimates to capture and evaluate extreme precipitation events. This information is part of Nutrien’s daily delivery of weather content to the company and their clients, where these efforts help the clients prepare for potential disruptions across the global supply chain.
      Disaster Response and Insurance
      The IMERG spatial and temporal resolution – as well as the availability of the data across more than two decades – has been invaluable for examining precipitation extremes that may result in flooding, landslides, drought, and fires. These data provide key situational awareness for disaster response and recovery. Rainfall information has been developed in Web Map Service (WMS) and ArcGIS formats with Representational State Transfer (REST) endpoints so that they can be pulled into geospatial portals at Federal Emergency Management Agency (FEMA), the U.S. Army Geospatial Intelligence Unit and data management platform companies (e.g., CyStellar), and provided to the National Geospatial Agency, the State Department, and insurers. The IMERG product has also been critical to global disaster models, such as the near-global Landslide Hazard Assessment for Situational Awareness (LHASA) system, which uses NRT IMERG rainfall in a decision tree framework that issues a moderate or high landslide nowcast based on rainfall thresholds. The model is routinely updated with a latency of four hours. The LHASA versions are running routinely and used by U.S. agencies and international agencies and organizations, including the World Food Programme.
      IMERG data are also being used at multiple reinsurance companies, including the Microinsurance Catastrophe Risk Organisation (MiCRO), to develop drought and rainfall indices using climatology data from IMERG.
      Looking Across and Forward for Applications
      Common themes that have emerged in stakeholder feedback include the need for continuity of data products, identifying uncertainty estimates, having easily accessible case study examples, and creating public trainings for data access and use. The Applications team works closely with GPM members and leadership to ensure that there are clear and open communication pathways across the GPM mission on engagement activities and to accelerate stakeholder feedback to GPM algorithm developers to aid in the improvement of GPM data products and services for the public. In addition, these insights can be used to formulate a framework for applications related to future mission planning, e.g., NASA’s Earth System Observatory missions.
      Bridging the Gap Between Precipitation Measurements and the Public: A View into Outreach Efforts
      Several years before the launch of GPM, the Education and Public Outreach (EPO) team was busy in the background, working to bring Science, Technology, Engineering, and Mathematics (STEM) into the classroom and taking advantage of the Next Generation Science Standards (NGSS) that were being implemented in curriculums across the U.S. The launch of GPM offered a perfect opportunity to showcase and amplify the incredible science and technology behind the GPM mission and the myriad of potential applications that could stem from its data.
      Early in the GPM mission’s development, the GPM EPO team curated existing NASA educational resources related to the themes of Earth’s water cycle, weather and climate, technology behind Earth Observing missions, and societal applications. The EPO team created a website, entitled Precipitation Education that has been wildly successful from its launch. The team also developed a Rain EnGAUGE toolkit and engaged both formal and informal educators from around the world to host “Family Science Night” programs and implement some of the interactive activities that the team developed for these events. Thus, even before the launch of GPM, the EPO effort had momentum as team members shared the incredible ways in which NASA’s Earth observation systems were helping us to better understand and protect our home planet.
      After launch, the EPO Team worked annually with international teams of “GPM Master Teachers.” This process selected teachers, who participated throughout the school year and received a small stipend for their work. They helped to align the science behind the GPM mission and other NASA Earth observation systems with the Global Learning and Observations to Benefit the Environment (GLOBE) program and developed many lessons and activities that were made available to educators around the globe.
      The EPO team also worked with NASA’s Earth to Sky program, training National Park Service and other interpreters to understand the science behind the GPM mission, and to find ways to share this information in meaningful and relevant ways with their audiences across the U.S.
      Newer activities have been developed to enable the general public to interact with open science as they follow a very easy “data recipe” to retrieve GPM precipitation observations since 2000 for their location. They are encouraged to use the GLOBE program’s app, GLOBE Observer, and take an observation of either a tree height or clouds. Contributors input the latitude and longitude from that location and find out how much precipitation fell for that location since 2000. This gives the participants the opportunity to collect data from the ground, and then look at satellite data for that same location to better understand the impact of precipitation in their local environment. GLOBE Participants can share their Tree Stories and Water Stories and compare their data with others around the world.
      In addition to providing a wide suite of online resources, the GPM Outreach team attends many public events each year, ranging from large NASA-sponsored Earth Day events to local family STEM nights – see Photos 2 and 3. The GPM Outreach team has developed many hands-on activities that help the public explore the varied amounts of precipitation falling in locations around the world. By interacting with these activities and learning how NASA is helping us better understand and protect our home planet, participants walk away with a richer understanding of how NASA’s Earth science programs are improving life around the world.
      A decade after the launch of GPM, the “Precipitation Education” website continues to be incredibly popular, with an average of 90,000 visits per month. GPM education and outreach resources are considered the state of the art among practitioners, and the team updates existing and adds new resources as opportunities arise.
      Photo 2. Montgomery County’s (Maryland) Georgian Forest Family Science, Technology, Engineering, and Math (STEM) Night. Shown here is a triptych of parents and children using “Precipitation Towers” to explore precipitation patterns measured by GPM in different locations throughout the world. Photo credit: Dorian Janney/GSFC/ ADNET Systems Inc. (ADNET) Photo 3. The GPM Outreach Team engaging the public at Maryland Day 2023, hosted by the University of Maryland (UMD), College Park on Saturday, April 29, 2023. The Team represented GPM at the NASA exhibit where they interacted with hundreds of attendees and highlighted the many benefits of using GPM data for research and societal applications. Photo credit: Dorian Janney Conclusion
      In more than 10 years of operations, the GPM mission has made incredible contributions in our understanding of global precipitation, from scientific studies to real-world, societal impacts through applications of the data products. With a robust validation program and successive algorithm improvements, our knowledge of precipitation distribution across the globe continues to advance. This has had measurable effects on global modeling and weather forecasting, real-time severe weather monitoring, education, and many other areas. With hardware continuing to function – and a recent fuel-saving orbit boost – GPM continues to add to this valuable data record. The community’s experience with GPM helps illustrate what new observations or combinations of observations will be needed in coming decades to advance precipitation science and maintain needed global monitoring. GPM’s cohort of researchers, instrument specialists, mission operators, and other key personnel across the community are providing the backbone of future mission development efforts.
      Acknowledgements
      The authors wish to acknowledge several contributing members of the Global Precipitation Measurement Science Team who played a part in writing this anniversary article. They include: Gerald Heymsfield, Dorian Janney, Chris Kidd,  Steven Lang, Zhong Liu, Adrian Loftus, Erich Stocker, and Jackson Tan [all at GSFC]; David Wolff [NASA’s Wallops Flight Facility (WFF)]; Gregory Elsaesser [NASA Goddard Institute for Space Studies (GISS)/ Columbia University]; and Robert Adler [University of Maryland].
      Andrea Portier
      NASA’s Goddard Space Flight Center/Science Systems and Applications, Inc
      andrea.m.portier@nasa.gov  
      Sarah Ringerud
      NASA’s Goddard Space Flight Center
      sarah.e.ringerud@nasa.gov
      George J. Huffman
      NASA’s Goddard Space Flight Center
      george.j.huffman@nasa.gov
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      Last Updated Oct 03, 2024 Related Terms
      Earth Science View the full article
    • By NASA
      On Sept. 30, 1994, space shuttle Endeavour took to the skies on its 7th trip into space. During the 11-day mission, the STS-68 crew of Commander Michael A. Baker, Pilot Terrence “Terry” W. Wilcutt, and Mission Specialists Steven L. Smith, Daniel W. Bursch, Peter J.K. “Jeff” Wisoff, and Payload Commander Thomas “Tom” D. Jones operated the second Space Radar Laboratory (SRL-2) as part of NASA’s Mission to Planet Earth. Flying five months after SRL-1, results from the two missions provided unprecedented insight into Earth’s global environment across contrasting seasons. The astronauts observed pre-selected sites around the world as well as a volcano that erupted during their mission using SRL-2’s U.S., German, and Italian radar instruments and handheld cameras.

      Left: The STS-68 crew patch. Right: Official photo of the STS-68 crew of Thomas D. Jones, front row left, Peter J.K. “Jeff” Wisoff, Steven L. Smith, and Daniel W. Bursch; Michael A. Baker, back row left, and Terrence W. Wilcutt.
      In August 1993, NASA named Jones as the SRL-2 payload commander, eight months before he flew as a mission specialist on STS-59, the SRL-1 mission. When NASA could not meet JPL’s request to fly their personnel as payload specialists on the SRL missions, the compromise solution reached had one NASA astronaut – in this case, Jones – fly on both missions. Selected as an astronaut in 1990, STS-59 marked Jones’ first flight and STS-68 his second. In October 1993, NASA named the rest of the STS-68 crew. For Baker, selected in 1985, SRL-2 marked his third trip into space, having flown on STS-43 and STS-52. Along with Jones, Wilcutt, Bursch, and Wisoff all came from the class of 1990, nicknamed The Hairballs. STS-68 marked Wilcutt’s first spaceflight, while Bursch had flown once before on STS-51 and Wisoff on STS-57. Smith has the distinction as the first from his class of 1992 – The Hogs – assigned to a spaceflight, but the Aug. 18 launch abort robbed him of the distinction of the first to actually fly, the honor going instead to Jerry M. Linenger when STS-64 ended up flying before STS-68.

      Left: The Spaceborne Imaging Radar-C (SIR-C) in Endeavour’s payload bay in the Orbiter Processing Facility at NASA’s Kennedy Space Center in Florida. Middle: Endeavour on Launch Pad 39A. Right: STS-68 crew in the Astrovan on its way to Launch Pad 39A for the Terminal Countdown Demonstration Test.
      The SRL payloads consisted of three major components – the Spaceborne Imaging Radar-C (SIR-C), built by NASA’s Jet Propulsion Laboratory in Pasadena, California, the X-band Synthetic Aperture Radar (X-SAR) sponsored by the German Space Agency DLR and the Italian Space Agency ASI, and the Measurement of Air Pollution from Satellites (MAPS), built by NASA’s Langley Research Center in Hampton, Virginia. Scientists from 13 countries participated in the SRL data gathering program, providing ground truth at preselected observation sites. The SIR system first flew as SIR-A on STS-2 in November 1981, although the shortened mission limited data gathering. It flew again as SIR-B on STS-41G in October 1984, and gathering much useful data.
      Building on that success, NASA planned to fly an SRL mission on STS-72A, launching in March 1987 into a near-polar orbit from Vandenberg Air Force, now Space Force, Base in California, but the Challenger accident canceled those plans. With polar orbits no longer attainable, a 57-degree inclination remained the highest achievable from NASA’s Kennedy Space Center (KSC) in Florida, still allowing the radar to study more than 75% of Earth’s landmasses. As originally envisioned, SRL-2 would fly about six months after the first mission, allowing data gathering during contrasting seasons. Shuttle schedules moved the date of the second mission up to August 1994, only four months after the first. But events intervened to partially mitigate that disruption.

      Left: Launch abort at Launch Pad 39A at NASA’s Kennedy Space Center in Florida. Right: A few days after the launch abort, space shuttle Discovery arrives at Launch Pad 39B, left, with space shuttle Endeavour still on Launch Pad 39A, awaiting its rollback to the Vehicle Assembly Building.
      Endeavour arrived back at KSC following its previous flight, the STS-59 SRL-1 mission, in May 1994. Workers in KSC’s Orbiter Processing Facility refurbished the SRL-1 payloads for their reflight and serviced the orbiter, rolling it over to the Vehicle Assembly Building (VAB) on July 21 for mating with its External Tank and Solid Rocket Boosters (SRBs). Endeavour rolled out to Launch Pad 39A on July 27. The six-person STS-68 crew traveled to KSC to participate in the Terminal Countdown Demonstration Test on Aug. 1, essentially a dress rehearsal for the launch countdown. They returned to KSC on Aug. 15, the same day the final countdown began.
      Following a smooth countdown leading to a planned 5:54 a.m. EDT launch on Aug. 18, Endeavour’s three main engines came to life 6.6 seconds before liftoff. With just 1.8 seconds until the two SRBs ignited to lift the shuttle stack off the pad, the Redundant Set Launch Sequencer (RSLS) stopped the countdown and shutdown the three main engines, two of which continued running past the T-zero mark. It marked the fifth and final launch abort of the shuttle program, and the closest one to liftoff. Bursch now had the distinction as the only person to have experienced two RSLS launch aborts, his first one occurring on STS-51 just a year earlier. Engineers traced the shutdown to higher than anticipated temperatures in a high-pressure oxygen turbopump in engine number three. The abort necessitated a rollback of Endeavour to the VAB on Aug. 24 to replace all three main engines with three engines from Atlantis on its upcoming STS-66 mission. Engineers shipped the suspect engine to NASA’s Stennis Space Center in Mississippi for extensive testing, where it worked fine and flew on STS-70 in July 1995. Meanwhile, Endeavour returned to Launch Pad 39A on Sept. 13.

      Liftoff of Endeavour on the STS-68 mission.
      On Sept. 30, 1994, Endeavour lifted off on time at 6:16 a.m. EDT, and eight and half minutes later delivered its crew and payloads to space. Thirty minutes later, a firing of the shuttle’s Orbiter Maneuvering System (OMS) engines placed them in a 132-mile orbit inclined 57 degrees to the equator. The astronauts opened the payload bay doors, deploying the shuttle’s radiators, and removed their bulky launch and entry suits, stowing them for the remainder of the flight.

      Left: The Space Radar Laboratory-2 payload in Endeavour’s cargo bay, showing SIR-C (with the JPL logo on it), X-SAR (the long bar atop SIR-C), and MAPS (with the LaRC logo on it). Middle: The STS-68 Blue Team of Daniel W. Bursch, top, Steven L. Smith, and Thomas D. Jones in their sleep bunks. Right: Tile damage on Endeavour’s starboard Orbital Maneuvering System pod caused by a strike from a tile from Endeavour’s front window rim that came loose during the ascent.

      Left: Steven L. Smith, left, and Peter J.K. “Jeff” Wisoff set up the bicycle ergometer in the shuttle’s middeck. Middle: The STS-68 Red Team of Terrence W. Wilcutt, top, Wisoff, and Michael A. Baker in their sleep bunks. Right: Wilcutt consults the flight plan for the next maneuver.
      The astronauts began to convert their vehicle into a science platform, and that included breaking up into two teams to enable 24-hour-a-day operations. Baker, Wilcutt, and Wisoff made up the Red Team while Smith, Bursch, and Jones made up the Blue Team. Within five hours of liftoff, the Blue Team began their sleep period while the Red Team started their first on orbit shift by activating the SIR-C and X-SAR instruments in the payload bay and some of the middeck experiments. During inspection of the OMS pods, the astronauts noted an area of damaged tile, later attributed to an impact from a tile from the rim of Endeavour’s front window that came loose during the ascent to orbit. Engineers on the ground assessed the damage and deemed it of no concern for the shuttle’s entry.

      Left: Michael A. Baker prepares to take photographs through the commander’s window. Middle: Thomas D. Jones, left, Daniel W. Bursch, and Baker hold various cameras in Endeavour’s flight deck. Right: Terrence W. Wilcutt with four cameras.

      Left: Thomas D. Jones, left, and Daniel W. Bursch consult a map in an atlas developed specifically for the SRL-2 mission. Middle: Jones takes photographs through the overhead window. Right: Steven L. Smith takes photographs through the overhead window.
      By sheer coincidence, the Klyuchevskaya volcano on Russia’s Kamchatka Peninsula began erupting on the day STS-68 launched. By the mission’s second day, the astronauts trained not only their cameras on the plume of ash reaching 50,000 feet high and streaming out over the Pacific Ocean but also the radar instruments. This provided unprecedented information of this amazing geologic event to scientists who could also compare these images with those collected during SRL-1 five months earlier.

      Left: Eruption of Klyuchevskaya volcano on Russia’s Kamchatka Peninsula. Middle: Radar image of Klyuchevskaya volcano. Right: Comparison of radar images of Mt. Pinatubo in The Philippines taken during SRL-1 in April 1994 and SRL-2 in October 1994.
      The STS-68 crew continued their Earth observations for the remainder of the 11-day flight, having received a one-day extension from Mission Control. On the mission’s eighth day, they lowered Endeavour’s orbit to 124 miles to begin a series of interferometry studies that called for extremely precise orbital maneuvering to within 30 feet of the orbits flown during SRL-1, the most precise in shuttle history to that time. These near-perfectly repeating orbits allowed the construction of three-dimensional contour images of selected sites. The astronauts repaired a failed payload high rate recorder and continued working on middeck and biomedical experiments.

      Left: Steven L. Smith, left, conducts a biomedical experiment as Michael A. Baker monitors. Right: Peter J.K. “Jeff” Wisoff, left, and Smith repair a payload high rate recorder.

      A selection of STS-68 crew Earth observation photographs. Left: The San Francisco Bay area. Middle left: The Niagara Falls and Buffalo area. Middle right: Riyadh, Saudi Arabia. Right: Another view of the Klyuchevskaya volcano on Russia’s Kamchatka Peninsula.

      The high inclination orbit afforded the astronauts great views of the aurora australis, or southern lights.
      On this mission in particular, the STS-68 astronauts spent considerable time looking out the window, their images complementing the data taken by the radar instruments. Their high inclination orbit enabled views of parts of the planet not seen during typical shuttle missions, including spectacular views of the southern lights, or aurora australis.

      Two versions of the inflight STS-68 crew photo.
      On flight day 11, with most of the onboard film exposed and consumables running low, the astronauts prepared for their return to Earth the following day. Baker and Wilcutt tested Endeavour’s reaction control system thrusters and aerodynamic surfaces in preparation for deorbit and descent through the atmosphere, while the rest of the crew busied themselves with shutting down experiments and stowing away unneeded equipment.

      Left: Endeavour moments before touchdown at California’s Edwards Air Force Base. Middle: Michael A. Baker brings Endeavour home to close out STS-68 and a successful SRL-2 mission. Right: Baker gets a congratulatory tap on the shoulder from Terrence W. Wilcutt following wheels stop.

      Left: As workers process Endeavour on the runway, Columbia atop a Shuttle Carrier Aircraft (SCA) flies overhead on its way to the Palmdale facility for refurbishment. Right: Mounted atop an SCA, Endeavour departs Edwards for the cross-country trip to NASA’s Kennedy Space Center in Florida.
      On Oct. 11, the astronauts closed Endeavour’s payload bay doors, donned their launch and entry suits, and strapped themselves into their seats for entry and landing. Thick cloud cover at the KSC primary landing site forced first a two-orbit delay in their landing, then an eventual diversion to Edwards Air Force Base (AFB) in California. The crew fired Endeavour’s OMS engines to drop out of orbit. Baker piloted Endeavour to a smooth landing at Edwards, ending the 11-day 5-hour 46-minute flight. The crew had orbited the Earth 182 times. Workers at Edwards safed the vehicle and placed it atop a Shuttle Carrier Aircraft for the ferry flight back to KSC. The duo left Edwards on Oct. 19, and after stops at Biggs Army Airfield in El Paso, Texas, Dyess AFB in Abilene, Texas, and Eglin AFB in the Florida panhandle, arrived at KSC the next day. Workers there began preparing Endeavour for its next flight, STS-67, in March 1995. Meanwhile, a Gulfstream jet flew the astronauts back to Ellington Field in Houston for reunions with their families.
      Diane Evans, SIR-C project scientist, summarized the scientific return from STS-68, “We’ve had a phenomenally successful mission.” The radar instrument collected 60 terabits of data, filling 67 miles of magnetic tape during the mission. In 1990s technology, that equated to a pile of floppy disks 15 miles high! In 2006, using an updated comparison, astronaut Jones equated that to a stack of CDs 65 feet high. The radar instruments completed 910 data takes of 572 targets during about 80 hours of imaging. To complement the radar data, the astronauts took nearly 14,000 photographs using 14 different cameras. To image the various targets required more than 400 maneuvers of the shuttle, requiring 22,000 keystrokes in the orbiter’s computer. The use of interferometry, requiring precision orbital tracking of the shuttle, to create three-dimensional topographic maps, marks another significant accomplishment of the mission. Scientists published more than 5,000 papers using data from the SRL missions.
      Enjoy the crew narrate a video about the STS-68 mission. Read Wilcutt’s recollections of the mission in his oral history with the JSC History Office.
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