Evaluation of GSMaP Precipitation Estimates over the Contiguous United States
Open Access
- 1 April 2010
- journal article
- Published by American Meteorological Society in Journal of Hydrometeorology
- Vol. 11 (2), 566-574
- https://doi.org/10.1175/2009jhm1190.1
Abstract
Precipitation estimates from the Global Satellite Mapping of Precipitation (GSMaP) project are evaluated over the contiguous United States (CONUS) for the period of 2005–06. GSMaP combines precipitation retrievals from the Tropical Rainfall Measuring Mission satellite and other polar-orbiting satellites, and interpolates them with cloud motion vectors derived from infrared images from geostationary satellites, to produce a high-resolution dataset. Four other satellite-based datasets are also evaluated concurrently with GSMaP, to provide a better perspective. The new Climate Prediction Center (CPC) unified gauge analysis is used as the reference data. The evaluation shows that GSMaP does well in capturing the spatial patterns of precipitation, especially for summer, and that it has better estimation of precipitation amount over the eastern than over the western CONUS. Meanwhile, GSMaP shares many of the challenges common to other satellite-based products, including that it underestimates in winter and overestimates in summer. In winter, GSMaP has on average one-half less precipitation over the western region and one-third less over the eastern region, whereas in summer it has about three-quarters and one-quarter more estimated precipitation over the two respective regions, respectively. Most of the summer overestimates (winter underestimates) are from an excessive (insufficient) number of strong events (>20 mm day−1). Overall, GSMaP’s performance is comparable to other satellite-based products, with slightly better probability of detection during summer, and the different satellite-based estimates as a group have better agreement among themselves during summer than during winter.Keywords
This publication has 24 references indexed in Scilit:
- The TRMM Multi-Satellite Precipitation Analysis (TMPA)Published by Springer Science and Business Media LLC ,2009
- GSMaP Passive Microwave Precipitation Retrieval Algorithm : Algorithm Description and ValidationJournal of the Meteorological Society of Japan. Ser. II, 2009
- The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine ScalesJournal of Hydrometeorology, 2007
- Comparison of Near-Real-Time Precipitation Estimates from Satellite Observations and Numerical ModelsBulletin of the American Meteorological Society, 2007
- Diurnal cycle of precipitation determined from the CMORPH high spatial and temporal resolution global precipitation analysesJournal of Geophysical Research: Atmospheres, 2005
- Analysis of Multiple Precipitation Products and Preliminary Assessment of Their Impact on Global Land Data Assimilation System Land Surface StatesJournal of Hydrometeorology, 2005
- NOAA operational hydrological products derived from the advanced microwave sounding unitIEEE Transactions on Geoscience and Remote Sensing, 2005
- CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal ResolutionJournal of Hydrometeorology, 2004
- Estimation of physical variables from multichannel remotely sensed imagery using a neural network: Application to rainfall estimationWater Resources Research, 1999
- Precipitation Estimation from Remotely Sensed Information Using Artificial Neural NetworksJournal of Applied Meteorology and Climatology, 1997