ArticleQuarterly journal of the Royal Meteorological Society. Royal Meteorological Society (Great Britain)2018
The Global Precipitation Measurement (GPM) mission's scientific achievements and societal contributions: reviewing four years of advanced rain and snow observations.
Article in Quarterly journal of the Royal Meteorological Society. Royal Meteorological Society (Great Britain), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Integrating UAV-Derived Diameter Estimations and Machine Learning for Precision Cabbage Yield Mapping.Sensors (Basel, Switzerland) · 2025Article
- Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology.Nature communications · 2025Article
- Regional discrepancies in the microphysical attributes of summer season rainfall over Taiwan using GPM DPR.Scientific reports · 2023Article
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data.NPJ microgravity · 2022Review
- Silver linings in the dark clouds of COVID-19: Improvement of air quality over India and Delhi metropolitan area from measurements and WRF-CHIMERE model simulations.Atmospheric pollution research · 2021Article
- Object-Based Comparison of Data-Driven and Physics-Driven Satellite Estimates of Extreme Rainfall.Journal of hydrometeorology · 2020Article
- Spaceborne Cloud and Precipitation Radars: Status, Challenges, and Ways Forward.Reviews of geophysics (Washington, D.C. : 1985) · 2020Review
- Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction.Frontiers in Marine Science · 2019Article
- Physical Evaluation of GPM DPR Single- and Dual-Wavelength Algorithms.Journal of atmospheric and oceanic technology · 2019Article
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7 authors.
Funding
Abstract
Precipitation represents a life-critical energy and hydrologic exchange between the Earth's atmosphere and its surface. As such, knowledge of where, when, and how much rain and snow falls is essential for scientific research and societal applications. Building on the 17-year success of the Tropical Rainfall Measurement Mission (TRMM), the Global Precipitation Measurement (GPM) Core Observatory (GPM-CO) is the first U.S. National Aeronautical and Space Administration (NASA) satellite mission specifically designed with sensors to observe the structure and intensities of both rain and falling snow. The GPM-CO has proved to be a worthy successor to TRMM, extending and improving high-quality active and passive microwave observations across all times of day. The GPM-CO launched in early 2014, is a joint mission between NASA and the Japanese Aerospace Exploration Agency (JAXA), with sensors that include the NASA-provided GPM Microwave Imager and the JAXA-provided Dual-frequency Precipitation Radar. These sensors were devised with high accuracy standards enabling them to be used as a reference for inter-calibrating a constellation of partner satellite data. These intercalibrated partner satellite retrievals are used with infrared data to produce merged precipitation estimates at temporal scales of 30 minutes and spatial scales of 0.1° × 0.1°. Precipitation estimates from the GPM-CO and partner constellation satellites, provided in near real time and later reprocessed with all ancillary data, are an indispensable source of precipitation data for operational and scientific users. Advances have been made using GPM data, primarily in improving sensor calibration, retrieval algorithms, and ground validation measurements, and used to further our understanding of the characteristics of liquid and frozen precipitation and the science of water and hydrological cycles for climate/weather forecasting. These advances have extended to societal benefits related to water resources, operational numerical weather prediction, hurricane monitoring, prediction, and disaster response, extremes, and disease.
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