David L. Randel
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View article: Can We Estimate the Uncertainty Level of Satellite Long-Term Precipitation Records?
Can We Estimate the Uncertainty Level of Satellite Long-Term Precipitation Records? Open
Several decades of continuous improvements in satellite precipitation algorithms have resulted in fairly accurate level-2 precipitation products for local-scale applications. Numerous studies have been carried out to quantify random and sy…
View article: Comparison of TRMM Microwave Imager Rainfall Datasets from NASA and JAXA
Comparison of TRMM Microwave Imager Rainfall Datasets from NASA and JAXA Open
This study compares three TMI rainfall datasets generated by two versions of NASA’s Goddard Profiling algorithm (GPROF2010 and GPROF2017) and JAXA’s Global Satellite Mapping of Precipitation algorithm (GSMaP) over land, coast, and ocean. W…
View article: Tropical Cyclone Rain Retrievals from FY-3B MWRI Brightness Temperatures Using the Goddard Profiling Algorithm (GPROF)
Tropical Cyclone Rain Retrievals from FY-3B MWRI Brightness Temperatures Using the Goddard Profiling Algorithm (GPROF) Open
This study focuses on the tropical cyclone rainfall retrieval using FY-3B Microwave Radiation Imager (MWRI) brightness temperatures (Tbs). The GPROF, a fully parametric approach based on the Bayesian scheme, is adapted for use by the MWRI …
View article: Improving the Quality of Heavy Precipitation Estimates from Satellite Passive Microwave Rainfall Retrievals
Improving the Quality of Heavy Precipitation Estimates from Satellite Passive Microwave Rainfall Retrievals Open
Prominent achievements made in addressing global precipitation using satellite passive microwave retrievals are often overshadowed by their performance at finer spatial and temporal scales, where large variability in cloud morphology poses…