Results 41 to 50 of about 1,251 (184)
Remote Sensing, 2014 Results of numerous evaluation studies indicated that satellite-rainfall products are contaminated with significant systematic and random errors. Therefore, such products may require refinement and correction before being used for hydrologic applications.
Emad Habib +4 more
doaj +1 more source
Remote Sensing, 2018 The purpose of the paper is to evaluate the quality and hydrological utility of four popular satellite precipitation products, including the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) product (3B42V7), near ...
Weiwei Sun, Jun Ma, Gang Yang, Weiyue Li
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Evaluation of satellite rainfall estimates over Ethiopian river basins [PDF]
Hydrology and Earth System Sciences, 2011 High resolution satellite-based rainfall estimates (SREs) have enormous potential for use in hydrological applications, particularly in the developing world as an alternative to conventional rain gauges which are typically sparse.
T. G. Romilly, M. Gebremichael
doaj +1 more source
Evaluation of CMORPH Precipitation Products at Fine Space–Time Scales
Journal of Hydrometeorology, 2009 Abstract In this study, a comparison of the spatial patterns of high-resolution precipitation products obtained from the Climate Prediction Center’s morphing technique (CMORPH), which is a satellite-only product, and gauge-adjusted Next Generation Weather Radar (NEXRAD) rainfall observations is performed using a variety of statistical ...
Mekonnen Gebremichael, Dawit A. Zeweldi
openaire +1 more source
European Journal of Remote Sensing, 2023 This study evaluates four satellite-based precipitation datasets with gauged rainfall observations at a daily and wet season time scales. Satellite Precipitation Estimators from Climate Hazards Group Infrared Precipitation Stations (CHIRPSv2), the ...
Mulugojjam Taye +2 more
doaj +1 more source
Bias correction schemes for CMORPH satellite rainfall estimates in the Zambezi River Basin [PDF]
, 2016 Abstract. Obtaining reliable records of rainfall from satellite rainfall estimates (SREs) is a challenge as SREs are an indirect rainfall estimate from visible, infrared (IR), and/or microwave (MW) based information of cloud properties. SREs also contain inherent biases which exaggerate or underestimate actual rainfall values hence the need to apply ...
W. Gumindoga +4 more
openaire +2 more sources
Uncertainty in Precipitation Estimates Warrants Greater Consideration in Debris‐Flow Research
Journal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.Abstract Quantitative precipitation estimates (QPEs) may provide a valuable data resource for investigations of postfire debris flows. In mountainous regions where debris flows typically occur, gauge coverage can be sparse; gridded QPEs offer remotely sensed and/or physics‐based precipitation estimates where no direct measurement is available. However,
Ann E. Sinclair +4 more
wiley +1 more source
End of the Day (EOD) Judgment for Daily Rain-Gauge Data
Atmosphere, 2020 Several versions of Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation of Extreme Events (APHRODITE-2) have been released for analyzing rain-gauge-based daily precipitation.
Akiyo Yatagai +4 more
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Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.Abstract Convective detrainment is an important process in mesoscale convective systems (MCSs) that strongly influence adjacent stratiform clouds and precipitation. However, it remains difficult to quantify convective detrainment in numerical models. In this study, we develop an online convection identification and water vapor tracer (WVT) framework ...
Guoqing Dai +8 more
wiley +1 more source
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.Abstract This study evaluates kilometer‐scale simulations of atmospheric river (AR) precipitation using the Simple Cloud Resolving E3SM Atmosphere Model (SCREAM). Four AR events that cause flooding and impact the Puget Sound basin in the U.S. Pacific Northwest (PNW) are simulated using SCREAM with a regional refined mesh (RRM) at 3.125 km over the PNW ...
Sourav Taraphdar +3 more
wiley +1 more source