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By NASA
4 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Artist concept highlighting the novel approach proposed by the 2025 NIAC awarded selection of SUPREME-QG: Space-borne Ultra-Precise Measurement of the Equivalence Principle Signature of Quantum GravityNASA/Selim Shahriar Selim Shahriar
Northwestern University, Evanston
Progress in physics has largely been driven by the development and verification of new theories that unify different fundamental forces of nature. For example, Maxwell revolutionized physics with his unified theory of electricity and magnetism, and the Standard Model of particle physics provides a consistent description of all fundamental forces (electromagnetic, strong, and weak) except for gravity. The major barrier to completing the quest for unification is that General Relativity (GR), the current theory of gravity, cannot be reconciled with QM. Theories of Quantum Gravity (TQG), which are yet untested, prescribe modifications of both GR and QM in a manner that makes them consistent with each other. Tests of TQG represent arguably the greatest challenge facing our understanding of the Universe. The most promising way to test TQG is to search for violation of the Equivalence Principle (EP), a fundamental tenet of GR which states that all objects experience the same acceleration in a gravitational field. Violation of EP is characterized by a nonzero Eotvos parameter, Eta, defined as the ratio of the relative acceleration to the mean acceleration experienced by two objects with different inertial masses in a gravitational field. EP violations at the level of Eta < 10^(-18) arise in many versions of TQG (e.g., string theory). The most precise test of the EP to date has been carried out under the space-borne MICROSCOPE experiment employing classical accelerometers, constraining the value of Eta to <1.5×10^(-15). We propose to investigate the use of a radically new method that leverages quantum entanglement to test the EP with extreme precision, at the level of Eta ~ 10^(-20), using a space-borne platform. This method is described in a recent paper by us (PRD 108, 024011, ’23). It makes use of simultaneous Schroedinger Cat (SC) state atom interferometers (AIs) with two isotopes of Rb. Consisting of N=10^6 atoms, the SC state, which is a maximally entangled quantum state generated via spin-squeezing of cold atoms in an optical cavity, acts as a single particle, in a superposition of two collective states, enhancing the sensitivity by a factor of ~root(N)=10^3. Such large-N SC states are difficult to create and have not been observed yet, let alone leveraged for precision metrology. In another recent paper, we described a novel protocol, namely the generalized echo squeezing protocol (GESP), to overcome the challenges of creating such a state (PRA 107, 032610, ’23). We will demonstrate the functionality of this method in a testbed to enable a follow-on space-borne mission capable of testing the EP at the level of Eta ~ 10^(-20). If EP violation is observed, the version of TQG that agrees most closely with the result would form the foundation for a complete theory governing the universe, including its birth: the Big Bang. A null result would force physicists to conceive an entirely new approach to addressing the irreconcilability of GR and QM, fundamentally altering the course of theoretical physics. Either outcome would represent one of the greatest developments in our quest for understanding nature. The SC-state AI (SCAI), also holds the promise of revolutionary improvements in the precision of gravitational cartography and inertial navigation, when configured for simultaneous accelerometry and rotation sensing. The sensitivity of such a sensor, for one second averaging time, would be ~0.9 femto-g for accelerometry, and ~0.5 pico-degree/hour for rotation sensing. This would represent an improvement by a factor of ~10^5 over the best conventional accelerometer, and a factor of ~10^4 over the best conventional gyroscopes. As such, the SCAI would find widespread usage in defense as well as non-defense sectors, including deep-space exploration, for inertial navigation. A space-borne SCAI would be able to carry out gravitational cartography with a resolution far greater than that achieved using the GRACE-FO satellites.
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Last Updated Jan 10, 2025 EditorLoura Hall Related Terms
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By NASA
2 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
NASA Deputy Administrator Pam Melroy and Deputy Associate Administrator Casey Swails visit the American Airlines Integrated Operations Center near Dallas Fort Worth International Airport on a recent trip to see NASA’s digital tools for aviation efficiency in operational use.American Airlines It’s the holiday season — which means many are taking to the skies to join their loved ones.
If you’ve ever used an app to navigate on a road trip, you’ve probably noticed how it finds you the most efficient route to your destination, even before you depart. To that end, NASA has been working to make flight departures out of major international airports more efficient — thereby saving fuel and reducing delays — in close collaboration with the aviation industry and the Federal Aviation Administration (FAA).
The savings are possible thanks to a NASA-developed tool called Collaborative Digital Departure Rerouting.
This tool determines where potential time savings could be gained by slightly altering a departure route, based on existing data about delays. The software presents its proposed more-efficient route in real time to an airline, who can then decide whether or not to use it and coordinate with air traffic control through a streamlined digital process.
The capability is being tested thoroughly at Dallas Fort Worth International Airport and Love Field Airport in Texas in collaboration with several major air carriers, including American Airlines, Delta, JetBlue, Southwest, and United.
Now, these capabilities are expanding out of the Dallas area to other major airports in Houston for further research.
“We’re enabling the use of digital services to greatly improve aviation efficiency,” said Shivanjli Sharma, manager of NASA’s Air Traffic Management — eXploration project which oversees the research on aviation services. “Streamlining airline operations, reducing emissions, and saving time are all part of making an efficient next-generation airspace system.”
NASA / Maria Werries The animation above shows the savings Collaborative Digital Departure Rerouting is responsible for at just a single airport. As the tool is expanded to be used at other airports, the savings begin to add up even more.
It’s all part of NASA’s vision for transforming the skies above our communities to be more sustainable, efficient, safer, and quieter.
Collaborative Digital Departure Rerouting is one of a series of new cloud-based digital air traffic management tools NASA and industry plan to develop and demonstrate as part of the agency’s Sustainable Flight National Partnership. These new flight management capabilities will contribute to the partnership’s goal of accelerating progress towards aviation achieving net-zero greenhouse gas emissions by 2050.
About the Author
John Gould
Aeronautics Research Mission DirectorateJohn Gould is a member of NASA Aeronautics' Strategic Communications team at NASA Headquarters in Washington, DC. He is dedicated to public service and NASA’s leading role in scientific exploration. Prior to working for NASA Aeronautics, he was a spaceflight historian and writer, having a lifelong passion for space and aviation.
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By NASA
15 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
At the end of 2022, 65 percent of the Western United States was in severe drought, the result of a two decades long mega drought in the Colorado River Basin that had captured headlines around the world.
However, it was flooding, not drought, that was making headlines when we began our research for this story about OpenET, a revolutionary new online platform geared towards helping farmers and water managers monitor and reduce water use in watersheds where supplies were not keeping up with demand.
The start of 2023 brought flooding to many counties in California, leaving 68 percent of the state with suddenly little to no drought. And caused Forrest Melton, the NASA Project Scientist for OpenET and Associate Program Manager for agriculture and water resources with the NASA Earth Action program, to pause our video interview after a tree fell down outside his Bay Area home on a rainy day in March, 2023.
Coming online again after calling the fire department, Melton didn’t seem all too optimistic that the wet conditions would last. “California tends to swing between the two extremes of drought and flood,” Melton said. He referenced the 2016/17 winter which had particularly high precipitation but was followed by dry conditions during the following years, before the relief brought by the heavy rains, and flooding, in early 2023.
According to NOAA’s National Integrated Drought Information System it will take more than one wet winter to replenish groundwater in many parts of the western United States. Groundwater levels across the California Central Valley and many parts of the Ogallala Aquifer continue to decline. The need for better water management remains essential, and yet the data necessary to support new approaches has not been broadly available.
Enter the OpenET project, a multi-disciplinary, collaborative effort to make satellite-based evapotranspiration (ET) data available to the public. Melton describes the project as providing invaluable and scientifically robust data at all scales, “that can be used to support day to day decision making and long range planning to try to solve some really long standing and important water management challenges in the West.”
What is Evapotranspiration?
Evapotranspiration is the combined process of evaporation and transpiration, both of which transfer water from the land surface to the atmosphere as water vapor. Evaporation transforms water from the surface of the ground or bodies of water into water vapor, while transpiration is water vapor that is evaporated from plant tissues and escapes through the stomata, the tiny pores in plant leaves and stems. It is a process that is happening all around us almost all the time, but because water vapor is invisible to the human eye, it is very hard to measure on the ground.
A conceptual diagram of near-surface hydrology.M. W. Toews
To understand the effect evapotranspiration has on a local water cycle, picture a large decorative fountain. Typically, these fountains recycle the same water over and over. As a fountain runs, water is pumped out of the fountain heads, falls back into the fountain’s basin, and then flows back through the pipe system before starting the process all over again. We can think of the water remaining within this fountain’s local water system as non-consumptive water use. Some water, however, will be lost from the fountain’s local water system by evaporating from the pool’s surface or mist from the fountain’s spray.
Imagine the fountain also has lily pads growing in its basin. The lily pads will use the fountain’s water to survive and grow, losing some of that water to transpiration. The total water lost is evapotranspiration, and is considered consumptive water use, because it cannot be reused by the fountain. Tracking evapotranspiration can tell you how much water is removed or “depleted” from a local water system, and how much water needs to be added back in to support plant growth and maintain a healthy balance between water supply and water use. If too much water leaves the fountain, it will stop running. If too much water is added, it will overflow.
These concepts can be applied more broadly to the hydrologic cycle as a whole, and evapotranspiration data can play an important part in designing and implementing sustainable water management practices to combat larger issues like drought, as well as both short and long-term reductions in water availability. Historically, ET data have been obtained from ground-based instruments and methods, such as weighing lysimeters, which weigh soil and plants to track the water volume lost by evaporation or transpiration. Another common method is called eddy covariance, which calculates the amount of water vapor transported away from the land surface by wind eddies as they move across the land surface. But both are expensive and difficult to install and maintain, and measurements are only representative of a small portion of an individual agricultural field. It is cost prohibitive to collect these measurements over larger areas.
What makes OpenET different?
The OpenET team saw the important niche left open by traditional evapotranspiration measurement methods and filled it. They built upon decades of research funded by NASA, USDA and USGS and developed a new platform that can take easily accessible and already available data from satellite programs, like Landsat, and combine it with weather data to calculate the ET for every quarter acre of land. Satellites can record information like the Earth’s surface temperature and how much of the incoming light from the sun is being reflected back out to space. OpenET is able to use physically-based mathematical models to combine the satellite and weather data and output accurate data on evapotranspiration rates and volumes.
This information is then made easily accessible through OpenET’s Data Explorer, a free web-based tool that allows anyone with an internet connection to access the data OpenET provides. Users begin by selecting an area of interest from a map of the western United States that provides data at the satellite resolution of a quarter-acre, and also broken down into known areas of interest and individual agricultural fields, each color coded with a heat map of evapotranspiration. Cooler colors indicate higher rates of evapotranspiration while warmer colors indicate lower rates. Users can zoom into specific areas on the map, and with just a click, a chart pops up showing the evapotranspiration trends for a given area, for the current year and the past five years.
The chart can show monthly ET trends, useful for understanding seasonal fluctuations, and also cumulative trends, useful for understanding year-to-year changes in evapotranspiration. “The OpenET team took a user-driven design approach from the beginning, and each element of the Data Explorer and the open data services is there because a water manager or farmer asked for it,” Melton explained. As we played around with the map, it became apparent how much work was put into developing this project. Scientists needed to improve models and assess the accuracy of data, programmers had to develop the user interface and data services, designers needed to make the interface intuitive enough to be impactful, agriculture and environmental groups needed to help validate the model’s accuracy, and users of all types needed to provide requirements and then test the product to make sure their needs were actually met.
The OpenET consortium includes NASA, USGS, USDA Agricultural Research Service (ARS), Environmental Defense Fund (EDF), Google Earth Engine, California State University Monterey Bay (CSUMB), Desert Research Institute (DRI), Habitat Seven, Chapman University, Cornell University, University of Nebraska-Lincoln and close to a dozen other universities and experts across the U.S. NASA Ames Research Center and CSUMB have played key roles in the scientific and technical leadership of the effort from the outset, working closely with DRI, EDF and the recently formed non-profit OpenET, Inc. In addition, over 100 partners from the water management, agriculture and conservation community provided user requirements and assisted with the design and testing of the OpenET platform and tools.
“OpenET would not be possible without the contributions of each one of those partners,” Melton said. “Both on the implementation side and those who are translating the data from OpenET into solutions to long standing challenges.”
Map of farmlands showing ET data for 2024. The cooler colors represent higher levels of evapotranspiration (ET), while warmer colors indicate areas with less ET.OpenET
Models like those built into OpenET can be extremely useful tools for understanding patterns in ET and water use, but are only helpful if their accuracy is known. The OpenET science team recently completed the largest accuracy assessment to date for field-scale satellite-based ET data, comparing the satellite data to ground-based measurements at more than 150 sites across the U.S. Led by John Volk of the Desert Research Institute, the study was published in Nature Water earlier this year. A key finding was that across all sites, an ensemble value computed from six different ET models performed the best overall, leveraging the strengths of each individual satellite-driven model.
However, the study also found that some models performed best for particular crop types or regions, which is important information for water managers and farmers who need the most accurate data possible. Publishing the results as an open access study with all data and analysis made publicly available was also important to build trust in the data. While the study highlighted some limitations of the models and priorities for future research, the rigorous and reproducible accuracy assessment helps to build user confidence that they can use the data, while being aware of the expected accuracy for different applications of the data.
Bridging the Gap Between Farmers and Resource Managers
OpenET has already contributed to one significant win for farmers that affects how water use will be monitored and reported in the Sacramento-San Joaquin Delta.
This inland river delta covers 750,000 acres and is an important water resource in California, but one where accelerated demand combined with habitat loss and water quality issues has led to major concerns. In the Delta, large portions of the agricultural land are below sea level. Levees protect the fields and contain the river channels that supply water for irrigation. In 2023, the state began requiring farmers to maintain a water meter or measuring device on each diversion, where water is diverted from a river for irrigation. However, this measurement proved challenging and costly as there are thousands of diversions in the Delta, and the measuring equipment was inaccurate and difficult to maintain in this environment. In addition, water users also had to pay for meters at the locations where water that drained from the fields was pumped back over the levees and into the river channels.
The Sacramento-San Joaquin River Delta is a major water resource in California.Matthew Trump
“Mostly, what the state was interested in was the consumptive use: how much (water) was actually removed from the supply in that region,” Melton said. “So, it’s the perfect place for using OpenET because evapotranspiration really is the majority of the consumptive use in the Delta, if not all of it.”
After the launch of OpenET, farmers in the Delta worked with the Delta Watermaster, the California State Water Resources Control Board, the OpenET team and the Delta Measurement Consortium to develop an alternative compliance plan that used OpenET data to help streamline the water use required reporting for this complex region. Once the alternative compliance plan was approved, Forrest Melton and Will Carrara of NASA worked with the state Water Resources Control Board, the Delta Watermaster and water management agencies, and Jordan Harding of HabitatSeven to implement this solution. The Delta Alternative Compliance Plan, also known as the Delta ACP, allows farmers to use OpenET data to estimate their water usage; enabling farmers to complete their use reports in a matter of minutes.
“It’s the first time that satellite-based evapotranspiration data has been automatically integrated with a state-managed water reporting system,” Melton said.
Last year, more than 70% of farmers in the Bay-Delta region chose to use OpenET and to report their water use through the Delta ACP website, and they expect this percentage to continue to increase over time.
“The best part is that it is saving farmers hundreds of hours on preparing and submitting reports, avoiding millions of dollars in costs for farmers to deploy and maintain meters, and giving the state consistent and reproducible data on water use that has been reviewed and approved by the water user,” Melton said.
According to Delta Watermaster, Jay Ziegler, this approach has a clear benefit in the unique water flow setting of the Delta. “In reality, OpenET – and the use of publicly accessible data measuring ET is the only way to really discern consumptive use of water in the Delta on a reliable basis,” Ziegler said. “Candidly, we don’t really have a viable “plan B” in the absence of applying Open ET for water use reporting.”
In reality, OpenET – and the use of publicly accessible data measuring ET is the only way to really discern consumptive use of water in the Delta on a reliable basis.
Jay ziegler
Sacramento-San Joaquin Delta Watermaster
Water Beyond Borders
As water scarcity is increasingly becoming an urgent issue all around the world, it’s easy to imagine how many countries could benefit from OpenET data.
OpenET’s first international partnership is led by Anderson Ruhoff, a professor in Hydrology and Remote Sensing at the Federal University of Rio Grande do Sul, Brazil, where his team developed an evapotranspiration model called geeSEBAL for Brazil’s Water Agency.
Ruhoff learned about OpenET while he was in the US on a visiting professorship in Nebraska. He was intrigued and reached out to Melton who encouraged him to attend an upcoming conference in Reno, Nevada, where OpenET would be featured. The conference was due to start in just a few days time.
“So I had to find a last minute ticket to Reno and I’m glad I bought it, because when I arrived there they invited me to join Open ET. It was quite a coincidence,” Ruhoff said, smiling as he remembered the spontaneous decision. “We adapted our model for the US and started to participate in their work.”
In March, 2024, Ruhoff and OpenET launched an extension of the tool, called OpenET Brazil, with financial support from the Agência Nacional de Águas e Saneamento Básico (ANA), the Brazilian national water agency. The tool, called OpenET Brazil, will have similar goals as OpenET in the U.S., and the data collected will help improve Open ET’s accuracy overall.
Melton feels this will be a “great test case” for both working with new environmental conditions (in Brazil there frequently is more cloud cover than in the US during key parts of the growing season) and also developing new collaborations.
“The partnership will help us figure out how we can work with international partners to make the ET data useful,” Melton said. “The key aspect of our approach to geographic expansion is that leading scientists in each country and region, like Dr. Ruhoff, will lead the implementation, accuracy assessment, and the development of applications and partnerships for their country.”
Brazil has one of the world’s largest sources of freshwater, the Amazon River, and yet it can still be affected by drought. This is partly due to the fact that deforestation in the Amazon Rainforest has an impact on the entire region’s water cycle. Trees draw water up from the soil and during photosynthesis they release vapor into the atmosphere. This water vapor will accumulate and form precipitation. Trees are “basically a huge water pump,” Ruhoff said, and the Amazon Rainforest is large enough that it helps to produce the rainy season. But when deforestation is allowed to happen over large areas, that mechanism is interrupted. As a result of this disruption, the dry season is predicted to intensify, becoming longer and dryer, which in turn can affect crop production in Brazil as well as the rainfall that is critical for sustaining water supplies in Brazil and other areas of South America.
“Water doesn’t see borders. It doesn’t follow our rules,” Ruhoff said. “Deforestation in one place can affect people thousands of kilometers away.”
Water doesn’t see borders. It doesn’t follow our rules. Deforestation in one place can affect people thousands of kilometers away.
Anderson Ruhoff
Professor of Hydrology and Remote Sensing, Federal University of Rio Grande do Sul, Brazil
Studying evapotranspiration can reveal the impacts of deforestation with even more clarity. And importantly, it’s also public information. “So not only the farmers and water managers but every citizen can check how much water is being used in their area, especially during drought. It’s democratic information in that way,” Ruhoff said. “I think it’s important to have this information openly available and to try and reach as many people as possible.”
Melton feels there’s the potential to expand the project, if more people like Ruhoff are there to lead the way.
“There’s huge potential, but there do need to be stakeholders that come to the table and say that this is something that they’re interested in,” Melton said. “Water is so important and at times so contentious that it’s really important the data is seen as trusted. When there is a local leader, that substantially increases the likelihood that it will be trusted, and most importantly, used to bring people together to develop solutions.”
The geeSEBAL application that Anderson Ruhoff’s team developed, which now informs the OpenET platform. Science Direct/Anderson Ruhoff
Even when you live in a water-scarce region like California it’s easy to take water for granted. What platforms like OpenET can do for us, however, is make water, even in its most diffuse form, more visible to everyone.
Written by Jane Berg and Rachel Sender, co-published with the Bay Area Environmental Research Institute
To learn more about OpenET, visit https://etdata.org/
Program Contact:
Forrest Melton
NASA Ames Research Center
forrest.s.melton@nasa.gov
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Last Updated Oct 14, 2024 Related Terms
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By NASA
3 min read
NASA Develops Process to Create Very Accurate Eclipse Maps
New NASA research reveals a process to generate extremely accurate eclipse maps, which plot the predicted path of the Moon’s shadow as it crosses the face of Earth. Traditionally, eclipse calculations assume that all observers are at sea level on Earth and that the Moon is a smooth sphere that is perfectly symmetrical around its center of mass. As such, these calculations do not take into account different elevations on Earth or the Moon’s cratered, uneven surface.
For slightly more accurate maps, people can employ elevation tables and plots of the lunar limb — the edge of the visible surface of the Moon as seen from Earth. However, now eclipse calculations have gained even greater accuracy by incorporating lunar topography data from NASA’s LRO (Lunar Reconnaissance Orbiter) observations.
Using LRO elevation maps, NASA visualizer Ernie Wright at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, created a continuously varying lunar limb profile as the Moon’s shadow passes over the Earth. The mountains and valleys along the edge of the Moon’s disk affect the timing and duration of totality by several seconds. Wright also used several NASA data sets to provide an elevation map of Earth so that eclipse observer locations were depicted at their true altitude.
The resulting visualizations show something never seen before: the true, time-varying shape of the Moon’s shadow, with the effects of both an accurate lunar limb and the Earth’s terrain.
“Beginning with the 2017 total solar eclipse, we’ve been publishing maps and movies of eclipses that show the true shape of the Moon’s central shadow — the umbra,” said Wright.
A map showing the umbra (the Moon’s central shadow) as it passes over Cleveland at 3:15 p.m. local time during the April 8, 2024, total solar eclipse. NASA SVS/Ernie Wright and Michaela Garrison “And people ask, why does it look like a potato instead of a smooth oval? The short answer is that the Moon isn’t a perfectly smooth sphere.”
The mountains and valleys around the edge of the Moon change the shape of the shadow. The valleys are also responsible for Baily’s beads and the diamond ring, the last bits of the Sun visible just before and the first just after totality.
A computer simulation of Baily’s beads during a total solar eclipse. Data from Lunar Reconnaissance Orbiter makes it possible to map the lunar valleys that create the bead effect. NASA SVS/Ernie Wright Wright is lead author of a paper published September 19 in The Astronomical Journal that reveals for the first time exactly how the Moon’s terrain creates the umbra shape. The valleys on the edge of the Moon act like pinholes projecting images of the Sun onto the Earth’s surface.
A visualization of Sun images being projected from lunar valleys that are acting like pinhole projectors. Light rays from the Sun converge on each valley, then spread out again on their way to the Earth. NASA SVS/Ernie Wright The umbra is the small hole in the middle of these projected Sun images, the place where none of the Sun images reach.
Viewed from behind the Moon, the Sun images projected by lunar valleys on the Moon’s edge fall on the Earth’s surface in a flower-like pattern with a hole in the middle, forming the umbra shape. NASA SVS/Ernie Wright The edges of the umbra are made up of small arcs from the edges of the projected Sun images.
This is just one of several surprising results that have emerged from the new eclipse mapping method described in the paper. Unlike the traditional method invented 200 years ago, the new way renders eclipse maps one pixel at a time, the same way 3D animation software creates images. It’s also similar to the way other complex phenomena, like weather, are modeled in the computer by breaking the problem into millions of tiny pieces, something computers are really good at, and something that was inconceivable 200 years ago.
For more about eclipses, refer to:
https://science.nasa.gov/eclipses
By Ernie Wright and Susannah Darling
NASA’s Goddard Space Flight Center, Greenbelt, Md.
Media Contact:
Nancy Neal-Jones
NASA’s Goddard Space Flight Center, Greenbelt, Md.
301-286-0039
nancy.n.jones@nasa.gov
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Last Updated Sep 19, 2024 Editor wasteigerwald Contact wasteigerwald william.a.steigerwald@nasa.gov Location NASA Goddard Space Flight Center Related Terms
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Summary of the 2023 Precipitation Measurement Mission Science Team Meeting
Andrea Portier, NASA’s Goddard Space Flight Center/Science Systems and Applications, Inc., andrea.m.portier@nasa.gov
Introduction
The annual Precipitation Measurement Mission (PMM) Science Team Meeting (STM) took place September 18–22, 2023, in Minneapolis, MN. The PMM program supports scientific research and applications, algorithm development, and ground-based validation activities for the completed Tropical Rainfall Measuring Mission (TRMM) and current Global Precipitation Measurement (GPM) mission, including the GPM Core Observatory. Participants (including 137 in person and 22 virtual attendees) joined the meeting from a variety of affiliations including NASA, the Japan Aerospace Exploration Agency (JAXA), universities, and other partner agencies—see Photo.
The meeting included 46 plenary presentations spread across 7 thematically focused sessions and 77 poster presentations split between 2 sessions, with both oral and poster sessions covering mission and program status, partner reports, GPM algorithm development, and scientific results using GPM data.
The meeting also included a series of splinter sessions for precipitation working groups. The working groups included NASA–JAXA Joint Precipitation Science Team, the Committee on Earth Observation Satellites–Precipitation Virtual Constellation, GPM Mentorship Program, and topically focused groups on Applications, Hydrology, Land Surface, Latent Heating, Multisatellite, GPM Intersatellite Calibration (XCAL), Ground Validation (GV), Particle Size Distribution (PSD), and Oceanic Areas. These working groups were a combination of invitation-only, in-person, and hybrid meetings. Owing to the distributed nature of these meetings, summaries of their proceedings are not included in this article.
This article highlights current updates on the GPM mission and summarizes scientific results conveyed during the 2023 PMM STM. The meeting agenda and full presentations can be accessed through the 2023 PMM Science Team Meeting Files. Note that this is a password protected page; readers interested in accessing these files will need to reach out via the GPM Contact Form on the website to receive the access code.
Photo. Attendees of the 2023 PMM STM in front of the McNamara Alumni Center in Minneapolis, MN. Photo credit: Chris Kidd/GSFC and University of Maryland, College Park (UMD) Status Report and Updates on PMM: Perspectives from NASA and JAXA
The PMM missions are the fruit of long partnerships between NASA and JAXA. The PMM Science Team (ST) includes more than 20 international partners. The subsections that follow highlight the status of the PMM program and related activities that were conveyed by NASA and JAXA PMM Science Program Management Teams.
NASA
Will McCarty [NASA Headquarters (HQ)—GPM Program Scientist] presented the NASA HQ perspective regarding PMMs – present and future. He explained that current missions continue to drive the focus for precipitation science, and that future missions will continue to link the thermodynamic and dynamic factors of precipitation science by targeting additional temporal information. McCarty introduced several current and upcoming missions and programs, including satellite launches [e.g., NASA’s Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS), an Earth Venture Instrument (EVI), and the Investigation of Convective Updrafts (INCUS), an Earth Venture Mission], instruments [e.g., NASA’s Polarized Submillimeter Ice-cloud Imager (POLSIR), also an EVI, which will be deployed on two CubeSats], and field campaigns [e.g., NASA’s Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) and Convective Processes Experiment Cabo Verde (CPEX-CV) experiments]. He then briefly discussed the second (2017) Earth Science Decadal Survey and provided an overview of the future Earth System Observatory (ESO), which will have interconnected core missions (e.g., the Atmosphere Observing System (AOS)). He also discussed the Planetary Boundary Layer (PBL), which the Decadal Survey classifies incubation targeted observable. McCarty concluded by noting that the future PMM ST call may be integrated by combining mission science from multiple satellites.
George Huffman [NASA’s Goddard Space Flight Center (GSFC)—GPM Project Scientist and PMM ST Lead] provided an update on the projected lifetime for GPM. Based on fuel usage alone, GPM should continue to December 2027. However, the amount of solar activity has an impact on that calculation. The Sun is expected to be quite active over the next few years as we approach the Solar Maximum for Solar Cycle 25—which could shorten GPM’s lifetime by as much as four years. He noted that a controlled reentry of the GPM Core spacecraft is planned—and enough fuel has to be kept in reserve to allow this to happen. Huffman discussed a recently developed plan for boosting the orbit of the GPM core satellite—for more details on the plan, see the subsection, “GPM Core Observatory Boost,” later in this article. He added that NASA and JAXA have both approved the plan and deemed its implementation critical for overlap with AOS for instrument intercomparison. The boosting is currently scheduled for November 7–9, 2023.(Update: Since the meeting in September, the GPM orbit boost was executed successfully on the scheduled dates.) The impact of the boosting on radiometer algorithms (e.g., for the GPM Microwave Imager (GMI)) is expected to be less than the impact on the radar algorithms (e.g., for the GPM Dual-Frequency Precipitation Radar, (DPR)). The potential impact on the combined algorithms (i.e., algorithms used to combine data from GMI and DPR) is still being assessed.
Huffman also discussed the status of the GPM data products. He reported that all GPM core data products are using Version 7 (V07). He mentioned that V07 of the Integrated Multi-Satellite Retrievals for GPM (IMERG) Final is out, but IMERG Early and Late data products are pending other actions in the NASA Precipitation Processing System (PPS). (IMERG has 3 classifications of data products: Early (latency of 4 hours), late (latency of 12–14 hours), and final (latency of 3 months).) He noted that the GPM orbit boost requires modifications to V07 core algorithms, and this accentuates the importance of a timely release of V08 algorithms (anticipated early 2026).
Erich Stocker [GSFC—GPM Deputy Project Scientist for Data and Precipitation Processing System Project Manager] discussed the status of GPM data products. He mentioned that radar/combined/IMERG products have transitioned from V06 to V07—but all radiometer products, Level-1 to Level-3, went from V05 to V07 to ensure the version is consistent on all of the products. Stocker continued that the GPM core satellite boost in November 2023 will lead to an outage of radar products for about five months for research and 2–3 months for near real-time (NRT) data products. NRT radiometer products will continue through the boost with only 2–3 days of outage while the satellite reaches its new altitude. He concluded that the initial NRT V07 IMERG processing and V07 retroprocessing of Early and Late IMERG products will start in January 2024.
David Wolff [NASA’s Wallops Flight Facility (WFF)—GPM Deputy Project Scientist for Ground Validation and Ground Validation System Manager] provided an overview of the GPM Ground Validation program and current activities. He stated that the ground validation (GV) program has state-of-the-art ground and remote sensing instruments to acquire precipitation and microphysics data to validate GPM retrievals. He described the ground validation site at NASA’s Wallops Flight Facility (WFF), which includes several radars, disdrometers (an instrument that measures drop-size distribution), and a Precipitation Imaging Processor (PIP) package. Wolff discussed the gauge-only systems, Platforms for In situ Estimation of Rainfall Systems (PIERS), activities for Increasing Participation of Minority Serving Institutions in Earth Science Division Surface-Based Measurement Networks, and pySIMBA – the GPM GV Support Software, an Open-Source Python Package to integrate and Analyze Precipitation Datasets that is available from GitHub. Wolff also provided a brief overview of the successful GPM GV Workshop that was held at Wallops Flight Facility on March 23–25, 2023. He continued by providing GPM Ground Validation Network (VN) updates and discussing VN captures of three-dimensional (3D) polarimetric information within DPR and GMI.
Wolff also noted that the GV program includes field campaigns (e.g., IMPACTS and Marquette, a five-year mini campaign conducted in collaboration with the National Oceanic and Atmospheric Administration’s (NOAA) National Weather Service (NWS)). He also discussed the new S-band radar network in Canada that offers access to high-quality radar data at relatively high latitudes over both land and sea. This data will be used as part of the VN for evaluation of GPM products. He concluded by discussing the Global Hydrometeorology Resource Center (GHRC) that archives past and current field campaign data and provides data quality control, metadata, campaign descriptions, and digital object identifier (DOI) assignments for each instrument/sensor.
Andrea Portier [GSFC—GPM Mission Applications Lead] and Dorian Janney [GSFC—GPM Outreach Coordinator] reflected on the 2022–2023 applications and outreach efforts and also discussed upcoming activities, including the – at the time of the meeting – upcoming tenth anniversary of the GPM Mission in February 2024. The applications team continues its focus on increasing awareness and use of GPM data and products across communities through user-engagement activities, including workshops (e.g., Applying Earth Observation Data for Research and Applications in Sustainable Development held at the 2022 Fall Meeting of the American Geophysical Union (AGU) in San Francisco, CA), trainings (e.g., 2023 GPM Mentorship Program), GPM application case studies, and GPM visualizations. A continuing and integral part of GPM outreach efforts is the numerous activities that reach hundreds of students and adults in a variety of formal and informal settings. This includes cooperative efforts with NASA’s Global Learning and Observations to Benefit the Environment (GLOBE) and hands-on activities at events (e.g., the Earth Day celebration at the Washington, DC’s Union Station). (To read more about the 2023 Earth Day celebration at Union Station, see A Pale Blue Dot in Washington: NASA’s Earth Day Celebration at Union Station, in the July–August 2023 issue of The Earth Observer [Volume 35, Issue 4, pp. 4–12].)
Many of these efforts will be highlighted and amplified during GPM’s tenth anniversary celebration. The GPM Applications and Outreach Team’s planning for the anniversary is underway. The intent is to highlight the vast capabilities of the GPM Mission and how GPM data can be used to address societal applications and improve the understanding of Earth’s water and energy cycles through a series of activities and resources starting in February 2024. These efforts include a reception at GSFC Visitor’s Center, a year-long monthly webinar series, feature articles, applications eBook, and a GPM video, among others. Details of these efforts will be posted through the GPM website.
JAXA
Takuji Kubota [JAXA—JAXA GPM Program Scientist] provided an update and a review of the PMM program status and mission objectives. He emphasized that this update included the perspectives of the Japanese PMM Science Program Management Team, including their roles in the development of DPR and its algorithms, GV, GPM data processing, and GPM data distribution systems. He also gave an update on current activities related to GPM data utilization and application across Japan and Asia. Kubota continued by describing the potential impacts on the DPR instrument because of the proposed orbit boost, noting that the instrument footprints and swath widths will increase proportionately with altitude change accompanied by a slight reduction in radar sensitivity. JAXA is preparing for these impacts with revised codes for L1 algorithms and planning for external calibrations before and after the orbit boost to examine calibrations of the DPR. Kubota also discussed the reprocessing of JAXA’s Global Satellite Mapping of Precipitation (GSMaP) data product (essentially the JAXA equivalent of IMERG) to enable a longer-term precipitation dataset, highlighting its completion in September 2023. GSMaP data is now available back to January 1998. Kubota discussed the future of Japanese precipitation measurements including: Earth Cloud, Aerosol and Radiation Explorer (EarthCARE), scheduled for launch in 2024; Global Observing SATellite for Greenhouse gases and Water cycle (OSAT-GW), planned for launch NET 2024; Advanced Microwave Scanning Radiometer (AMSR) series, which currently includes AMSR2 on the (GCOM-W) and will include AMSR3 on GOSAT-GW; and the previously discussed ESO AOS mission. He concluded with a discussion of JAXA’s plan for observing and celebrating GPM’s tenth anniversary.
Yukari Takayabu [University of Tokyo—JAXA GPM Project Scientist] highlighted results from recent science studies using DPR and GSMaP data products from the JAXA assembled GPM Program Science Team. She noted the use of DPR for extracting high-altitude precipitation information over Africa, capturing low-level precipitation statistics near the center of typhoons, narrowing the blind zone of the DPR to improve shallow precipitation detection in mountainous areas, validation studies of DPR, and retrieving frozen precipitation data using DPR. She concluded her presentation with highlights of GSMaP use for several applications, including the new GSMaP validation work in Japan to observe extreme rainfall, improvements to GSMaP through data-driven approaches, and data assimilation of GSMaP into the JAXA Realtime Weather Watch system.
Nobuhiro Takahashi [Nagoya University] presented an overview of significant updates to the DPM algorithm since the last PMM ST meeting, including changes in the latest V07 processing to accommodate the full-swath Ka-band operations – see Figure 1. He emphasized the impacts on the planning and development of V08 DPR algorithm with respect to the GPM orbit boost (described in George Huffman’s presentation). He noted that the major impacts to the performance of DPR include a degradation of measurement sensitivity and the “rain/no rain” classification. Takahashi concluded by saying that the release of V08 is expected in January 2026.
Figure 1. Evaluation of DPR product improvements from V06 to V07. Dual frequency product has smaller bias than KuPR product. The correlation coefficient improved from V06 to V07.Figure credit: Nobuhiro Takahashi/Nagoya University Kosuke Yamamoto [Earth Observation Research Center (EORC) and JAXA] summarized application activities initiated by the JAXA GPM Program Science Team. He discussed the use of GSMaP precipitation data to support and enhance several application areas, e.g., the operational use of GSMaP for flood and severe weather forecasting as well as the use of GSMaP in operational systems, including the JAXA Agro-meteorology Information Provision System (JASMIN), ASEAN Food Security Information System (AFSIS), and the Japanese’ Coast Guard’s Maritime Domain Awareness (MDA) initiative. Yamamoto also discussed the 2022 Japan–Australia–India–U.S. (QUAD) Joint Leaders’ Meeting Tackling Extreme Precipitation Events Workshop, an online event that took place March 1–3, 2023, and associated workshop reports focusing on the utilization of satellite observations across Pacific Islands.
GPM Algorithm Updates
Presenters during this session provided information and updates on various aspects of the five major algorithms of GPM. Full documentation and detailed updates for each algorithm are available at the Precipitation Data Directory.
Dual Frequency Radar Algorithm
The DPR algorithm team provided updates on DPR-related work, including the further refinement of the path-integrated attenuation (PIA) estimates used in the surface reference technique (SRT). They examined the effects of using the new AutoSnow algorithm – which uses satellite snowfall observations to create snowfall maps – on PIA estimations and changes in the surface type classification. Overall, the changes were small on the estimated precipitation profiles. Other algorithm refinements include the addition of a dry and wet snow category and wind speed. The team is currently examining how to recover Ka-band attenuation from the Ku-band. They stressed that results from this analysis are preliminary, and more work is needed to assess the utility of this technique. Finally, the team is discussing the implications of the GPM orbit boost on the DPR algorithm.
GPM Combined Radar–Radiometer Algorithm
The GPM Combined Radar–Radiometer Algorithm (CORRA) team discussed the changes and improvements to the CORRA V07 algorithm over the previous version. They highlighted the new AutoSnow algorithm and its impacts within CORRA V07. The team also examined the impact of the precipitation particle size distribution (PSD) initial assumptions on the estimation of snowfall as well as a machine-learning based initialization approach that improves the agreement between CORRA and NOAA’s Multi-Radar/Multi-Sensor System (MRMS) snow estimates. In addition, the team continues to examine a radiometer-only module to estimate light precipitation over oceans. This module will be included in the next version (V08) of CORRA. The team is also looking at the consequences of the GPM orbit boost.
Goddard Profiling Algorithm for GMI
The Goddard Profiling Algorithm (GPROF) team continues to work on well-known issues. The V07 update includes improvements in the a priori database to help constrain outputs from GPM constellation radiometers as well as inclusion of the radiometers on TROPICS and NASA’s Temporal Experiment for Storms and Tropical Systems–Demonstration (TEMPEST-D). The two new neural network-based implementations of GPROF in V08 are anticipated in roughly a year. The team reported that they have no issues with the GPM orbit boost.
Integrated Multi-Satellite Retrievals for GPM Algorithm
The IMERG algorithm team reported on V07, which includes a wide range of algorithm changes from V06. V07 includes retrospective reprocessing of the entire TRMM–GPM record and thus supersedes all previous versions. The team also reported that the algorithm changes improve the performance of IMERG estimates both in terms of its precipitation detection and systematic and random bias. The presenters noted improvements over frozen, orographic, and coastal surfaces. The team is now working on priority items that need completing in order to implement V08.
Convective–Stratiform Heating Algorithm
The GSFC Convective–Stratiform Heating (CSH) algorithm team provided an overview on latent heating (LH) retrievals. The presentation highlighted some of the details in updating to V07, including more accurate cloud-resolving model (CRM) simulations (using 3D domain rather than two-dimensional) and new detailed radiation retrievals. V07 is also “terrain aware,” meaning that the algorithm includes added details of radiative heating profiles and eddy transport terms. For V08, the CSH team plans to have a new 3D CRM database with a grid size of 250 m (820 ft) and look-up tables (LUTs) for non-surface raining columns for the tropical/summertime part of the algorithm as well as LUTs for terrain. These V08 improvements are still in development as of this meeting.
Science Results and Data Quality
A large component of the meeting was dedicated to presentations by NASA PMM-funded Principal Investigator (PI) teams on the science research and applications being achieved using PMM data. PI oral presentations were divided into four thematically focused topical sessions: Precipitation Microphysics, Snow and Hail, Storm Analysis, and Data Uncertainty. The subsections that follow highlight scientific results from each of these sessions. The reader is referred to the full reports online for more details.
Precipitation Microphysics
Presenters during this session described various techniques and new methodologies to study microphysical properties of precipitation including shape and size of precipitation particles (e.g., drop size distribution (DSD)), phase identification (e.g., liquid, solid, and mixed phase/melting), scattering properties, and precipitation rate, using both radar and radiometer observations. These property measurements play a pivotal role in improving precipitation retrieval algorithms, allowing scientists and decision makers to better understand and forecast storms.
One presenter in this session discussed new methods for classifying different types of precipitation (e.g., rain, graupel, hail, and dry and wet snow) using DPR precipitation retrievals. The new technique will be implemented into the V08 DPR algorithm. The discussion also covered a technique to establish relationships between GMI brightness temperature and hydrometeor type (e.g., rain, snow, graupel, and hail), leveraging the GPM validation network to construct LUTs of hydrometeor type likelihood – see Figure 2. Another presenter introduced a model to understand how DSD changes near the surface can be used to estimate rainfall rate. The last presenter in this session discussed the development of a precipitation scattering property database—which includes scattering characteristics of about 10,000 different types of ice particles. The database includes scattering cross sections calculated in thousands of orientations for each type of particle. This database is accessible to the public, which helps support the development of physically based scattering calculations and improvement of precipitation retrieval algorithms for both radar and radiometers.
Figure 2. A technique for retrieving hydrometeor information from GMI brightness temperature. In these RGB plots, snow and rain are combined into one category (green), while the individual probabilities are retained in the lookup tables.Figure credit: Dan Cecil/NASA’s Marshall Space Flight Center (MSFC) Snow and Hail
In this session, speakers discussed a broad move toward satellite retrievals for frozen hydrometeors, not just to identify bulk effects (e.g. snow or hail accumulation at the surface), but also to gather information on physical properties of frozen hydrometeors (e.g., where hailstones reside within clouds or what shapes snowflakes take). Understanding frozen hydrometeor properties can significantly improve precipitation and latent heat estimates that are essential for numerical weather forecasting and climate model development.
One speaker applied a method that used DPR and GMI observations to estimate frozen precipitation particle properties for an Olympic Mountain Experiment (OLYMPEX) field campaign case. The results he showed indicated a significant difference in the shapes of snowflakes between land and sea. Another speaker detailed the use of a simple machine learning framework trained on measurements of the use of snowfall and cloud type observations from the CloudSat Cloud Profiling Radar (CPR) to infer surface snowfall from GMI microwave measurements. Other presenters conveyed the results of a study examining different potential indicators of hail within the GPM database. These hail indicators were mapped, and the mean vertical profiles of radar reflectivity and storm structure were contrasted. The final pair of presentations focused on detecting hail in South America and Africa. In South America, hail-producing storms were shown to be strongly linked to local topography – in contrast to hotspots of hail in the U.S. Meanwhile, in Africa, new algorithms for identifying hail in GPM data suggest hail should be common – but this outcome is at odds with ground truth observations. This test case is being used to develop new methods for retrieving hail that include analyzing horizontal profile information within the data.
Storm Analysis
Presenters in this session discussed a variety of applications and assessments of PMM products for analyzing a variety of storms, particularly their cloud, precipitation, and kinematic structures and their structural evolution. The first speaker compared precipitation events simulated in IMERG to the same event with rain gauge observations. They found that while IMERG missed many winter precipitation events in mountainous regions –which rain gauges typically can measure – IMERG also captured summer virga events – which rain gauges typically miss. Another presenter compared IMERG to river catchment and integrated watershed observations and found that IMERG overestimated small precipitation events but underestimated large events. The next presenter showed a comparison IMERG simulations to the multi-instrument MRMS dataset during the lifecycle of precipitation events. The results shown suggest that IMERG errors in precipitation intensity could be improved by inputting other variables (e.g., ice water path or vertical velocity) into the precipitation retrievals. The discussions during this session also covered other plans to use PMM products to study convection in atmospheric river events, in combination with a modeling analysis using different convection schemes. The final pair of presenters spoke about understanding convective-scale drivers of the Inter Tropical Convergence Zone ascent and widening the use of a simple prognostic model that will use PMM data for filling terms in the model. One model weakness is the decay term for the convection cloud shield, which, if determined, could reduce error in climate models, particularly with radiative processes. The final speaker used TRMM Visible and Infrared Scanner (VIRS) data to develop and test a method for identifying and classifying cloud areas (i.e., core, midrange extent, and outer bound split window testing) and determine their relationships to other environmental variables, such as sea surface temperatures and column water vapor.
Data Uncertainty
Presenters during this session discussed new methodologies to address data uncertainties and bias in precipitation retrievals to improve precipitation estimates for science and applications research. Two of the presenters delved into the details of how the GPROF algorithm has inherent precipitation biases due to different hydrometeor characteristics captured by GMI passive microwave brightness temperature – which may be related to thermodynamic environments. Another PI presented updates for improving uncertainty estimates to enhance hydrological prediction. Specifically, he discussed multiscale precipitation uncertainties in precipitation products, including a new product that combines the Space-Time Rainfall Error and Autocorrelation Model (STREAM) with single-orbit rainfall estimates from the combined GPM data product, called STREAM-Sat. He explained how the uncertainties in these products can influence hydrologic prediction. The session concluded with a discussion of machine learning methods to estimate the probability distribution of uncertainties in passive microwave precipitation retrievals at different temporal and spatial scales.
Discussion of Future Missions, Observations, and Activities Relevant to GPM
This session featured presentations on several other existing and upcoming missions in various stages of development, as well presentations covering the future of precipitation instruments and observations, each with applications relevant to GPM. Each presentation included information on plans to advance and support precipitation science in the near term and the coming decade, as described below.
TROPICS
The TROPICS Pathfinder CubeSat mission provides microwave observations of tropical cyclones with less than a 60-minute revisit time to capture better storm dynamics and improve forecasting. The Pathfinder has demonstrated all mission elements and provided new tropical cyclone imagery (12,000+ orbits and counting). The Cal/Val team hopes to release the data to the public in Fall 2023. (UPDATE: Provisional TROPICS data was released in January 2024.) The TROPICS pathfinder satellite showed that the compact TROPICS design performs comparably to the state-of-the-art sounders. Lessons learned will help the TROPICS Team as they work to improve efforts and operate the TROPICS constellation, which now holds a total of five satellites.
AOS
As discussed in Will McCarty’s remarks, AOS is a key component of the Earth System Observatory that was recommended in the 2017 Decadal Survey. The mission will deliver transformative observations fundamental to understanding coupled aerosol– and cloud–precipitation processes that profoundly impact weather, climate, and air quality. Two AOS projects are in the mission concept and technology development phase (Phase-A): AOS-Storm (to launch late 2020s), with a Ku Doppler radar, microwave radiometers, and backscatter lidar in a 55° inclined orbit; and AOS-Sky (to launch early 2030s) with cloud-profiling Doppler radar, backscatter lidar, microwave radiometer, polarimeter, far infrared (IR) radiometer, and aerosol and moisture limb sounders in polar orbit. (This paragraph reflects what was discussed during the meeting, however, AOS is undergoing changes that will be reflected on the website at a later date.)
GPM Microwave Radiometer Constellation in the Next Decade
The future passive microwave radiometer constellation looks robust, with multiple sensors to be launched in the next decade. Small/CubeSat constellations are becoming a reality, and a plan to incorporate them quickly into the overall precipitation constellation is needed. A point of emphasis was that a sensor in an inclined orbit is a necessity when it comes to providing a reference measurement to support this effort – see Figure 3.
Figure 3. Evaluation of passive microwave (PMW) frequencies and coverage to assess data gaps and needs for the future of precipitation constellation.Figure credit: Rachael Kroodsma/GSFC JAXA Precipitation Measuring Mission (JAXA PMM) Radar
Plans call for JAXA’s next generation of precipitation radar to be deployed as part of the agency’s future Precipitating Measuring Mission (PMM – yes, the same acronym as the Precipitation Measurement Mission). Objectives for this next-generation precipitation radar include Doppler observations, higher sensitivity measurements, and scanning capability. JAXA has collaborated with a Japanese science team and user community to explore the feasibility of a next-generation, dual-frequency precipitation radar. The discussion focused on the importance of measuring convection through Doppler velocities from spaceborne radar. The EarthCARE mission will feature the first Cloud Profiling Radar (CPR) with Doppler capability in space. JAXA has participated in NASA’s AOS Pre-Phase A activities. The synergy between the GPM DPR and PMM/KuDPR is expected to contribute to the construction of a longer-term precipitation dataset by providing overlapping observations.
Update on Cloud Services at NASA GES DISC
NASA’s Goddard Earth Sciences Data and Information Services Center (GES DISC), one of two data archive centers for GPM, is moving its data archive to the cloud – with all GES DISC data and services remaining free to all users. This will offer quick access to and subsetting capability for a large volume of data through multiple data access methods (e.g., Amazon Simple Storage Service) and cloud services. Multidisciplinary NASA data will be in one place – the Earthdata Cloud – and available for online analysis and in the cloud environment. Expanded services (e.g., access to the Common Metadata Repository–SpatioTemporal Asset Catalog (CMR-STAC), Harmony – a collective Earth Observing System Data and Information System (EOSDIS) effort to make data access more consistent and easier across all DAACs and Zarr – a data format designed to store compressed multidimensional arrays and thus well suited to cloud computing) are expected to be implemented in the near future. With the migration of GES DISC data to the cloud, some services may look different with details on the exact changes to services coming soon.
GPM Core Observatory Boost
As George Huffman discussed in his presentation, based on forecasted solar activity, the GPM Core Observatory could run out of fuel as early as October 2025 if the current orbit altitude is maintained. To prolong its operations, NASA and JAXA have decided to boost the GPM Core Observatory orbit by ~35 km (~22 mi), which places GPM at an altitude of ~435 km (~270 mi)) – placing it above the International Space Station orbital altitude. The post-boost operations of the satellite are expected to continue through the early 2030s. The boost is expected to last only 2–4 days and occur in the time window between November 2023 and March 2024 (likely November 7–9, 2023, as stated above), the boost will permanently change the sensors’ Field of Views (FOVs) and likely cause a gap of several months in DPR product delivery.
Precipitation in 2040
Sarah Ringerud [GSFC] and George Huffman led this plenary discussion that explored two questions: What comes next? and What does the cutting edge of precipitation science look like 20 years from now? CubeSats, reduced volume of low-frequency-channel observations, shorter sensor lifetimes, increased sampling, and calibration challenges are recognized as inevitable. Exciting new developments are seen in the opportunity for data fusion and interdisciplinary work. Interagency and private sector collaborations are foreseen as critical points for maintaining optimal monitoring of Earth precipitation.
Conclusion
The 2023 PMM STM brought together scientists from around the world to engage on a range of topics that advance the understanding of precipitation science, algorithms, and contributions to applications. The STM highlighted updates and activities enabled by the PMM scientific community. The closing session provided an opportunity for quick updates from precipitation working group members, who held splinter sessions. These updates were followed by an open discussion and review of PMM action items led by George Huffman. He reminded PMM STM participants of several important and noteworthy items, including updates on the orbit boost and subsequent algorithm adjustments, which will be available on the GPM website and be at the forefront for the project for the next six months; V08 of GPM data products are anticipated by early 2026; the budget reduction for the project – but not for current ROSES projects – will impact activities, including next year’s PMM STM; and the next NASA ROSES call might have a different package of opportunities, not strictly focused on PMM/GPM. He concluded by encouraging the PMM ST to share highlights and publications with the GPM Science Program Management Team as well as to continue to initiate collaborations with other colleagues to keep pushing the boundaries of science and outreach.
The next PMM STM will likely be held in September 2024. Details will be posted on the GPM website once they become available.
Acknowledgements The author would like to recognize the following individuals, all of whom made contributions to this article: Ali Behrangi [University of Arizona], Anthony Didlake [Penn State University], Gerry Heymsfield [GSFC], George Huffman [GSFC], Matthew Igel [University of California Davis], Toshio Iguchi [Osaka University], Dorian Janney [GSFC/ADNET Systems], Chuntao Liu [Texas A&M Corpus Christi], Veljko Petkovic [UMD], Courtney Schumacher [Texas A&M Corpus Christi], and Joe Turk [NASA/Jet Propulsion Laboratory].
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