Validation of rainfall estimates from the TRMM precipitation radar and microwave imager using a radiative transfer model: 1. Comparison of the version-5 and -6 products
نویسندگان
چکیده
[1] The Tropical Rainfall Measuring Mission (TRMM) version-6 rainfall products show the reduced bias between Precipitation Radar (PR) and TRMM Microwave Imager (TMI) rainfall estimates during the 1997/1998 El Niño event noted in version 5, but need to be verified. We investigate consistency between TMI-observed brightness temperatures (TBs) at 10 and 19 GHz channels and those simulated from the PR and TMI rainfall estimates using a radiative transfer model. Simulated TBs from PR V6 exhibits better agreement with observed ones than those from PR V5, implying the algorithm improvements. However, discrepancies at 19 GHz suggest that uncertainty in the assumed drop size distribution still remains in PR V6. Simulated TBs from TMI V6 also exhibits better agreement with observed ones than those from TMI V5. However, the simulated 10-GHz TBs from TMI V6 exhibits more scatter against TMI-observed ones than those from PR V6 do. Citation: Shige, S., H. Sasaki, K. Okamoto, and T. Iguchi (2006), Validation of rainfall estimates from the TRMM precipitation radar and microwave imager using a radiative transfer model: 1. Comparison of the version-5 and -6 products, Geophys. Res. Lett., 33, L13803, doi:10.1029/2006GL026350.
منابع مشابه
Physical Validation of Trmm Rainfall Products Using a Radiative Transfer Model
The Tropical Rainfall Measuring Mission (TRMM) satellite has been in operation for more than 7 years and providing distribution of rainfall throughout the Tropics using microwave observation from the Precipitation Radar (PR) and the TRMM Microwave Imager (TMI). PR, the first space-borne precipitation radar, provides height information based upon the time delay of the precipitation-backscattered...
متن کاملGlobal multiscale evaluation of satellite passive microwave retrieval of precipitation 1 during the TRMM and GPM eras : effective resolution and regional diagnostics for 2 future algorithm development
10 The constellation of space-borne passive microwave (MW) sensors, coordinated under 11 the framework of the Precipitation Measurement Missions international agreement, 12 continuously produces observations of clouds and precipitation all over the globe. The Goddard 13 Profiling Algorithm (GPROF) is designed to infer the instantaneous surface precipitation rate 14 from the measured MW radiance...
متن کاملComparison of TRMM 2A25 Products, Version 6 and Version 7, with NOAA/NSSL Ground Radar–Based National Mosaic QPE
Characterization of the error associated with satellite rainfall estimates is a necessary component of deterministic and probabilistic frameworks involving spaceborne passive and active microwave measurements for applications ranging from water budget studies to forecasting natural hazards related to extreme rainfall events. The authors focus here on the relative error structure of Tropical Rai...
متن کاملEstimation of Rainfall Associated with Typhoons over the Ocean Using TRMM/TMI and Numerical Models
This study quantitatively estimated the precipitation associated with a typhoon in the northwestern Pacific Ocean by using a physical algorithm which included the Weather Research and Forecasting model, Radiative Transfer for TIROS Operational Vertical Sounder model, and data from the Tropical Rainfall Measuring Mission (TRMM)/TRMM Microwave Imager (TMI) and TRMM/Precipitation Radar (PR). First...
متن کاملThe Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors
This paper describes the latest improvements applied to the Goddard profiling algorithm (GPROF), particularly as they apply to the Tropical Rainfall Measuring Mission (TRMM). Most of these improvements, however, are conceptual in nature and apply equally to other passive microwave sensors. The improvements were motivated by a notable overestimation of precipitation in the intertropical converge...
متن کامل