Back to Search
Start Over
Origins of Heavy Precipitation Biases in the TRMM PR and TMI Products Assessed with CloudSat and Reanalysis Data
- Source :
- Journal of Applied Meteorology and Climatology. 58:37-54
- Publication Year :
- 2019
- Publisher :
- American Meteorological Society, 2019.
-
Abstract
- This study aims to characterize the background physical processes in the development of those heavy precipitation clouds that contribute to the Tropical Rainfall Measuring Mission (TRMM) active and passive sensor differences. The combined global observation data from TRMM, CloudSat, and European Centre for Medium-Range Weather Forecasts (ECMWF) interim reanalysis (ERA-Interim) from 2006 to 2014 were utilized to address this issue. Heavy rainfall events were extracted from the top 10% of the rain events from the Precipitation Radar (PR) and TRMM Microwave Imager (TMI) rain-rate climatology. Composite analyses of CloudSat and ERA-Interim were conducted to identify the detailed cloud structures and the background environmental conditions. Over tropical land, TMI tends to preferentially detect deep isolated precipitation clouds for relatively drier and unstable environments, while PR identifies more organized systems. Over the tropical ocean, TMI identifies heavy rainfall events with notable convective organization and clear regional gradients between the western and eastern Pacific Ocean, while PR fails to capture the eastward shallowing of convective systems. The PR–TMI differences for the moist and stable environments are reversed over tropical land.
- Subjects :
- Atmosphere
Atmospheric Science
010504 meteorology & atmospheric sciences
Climatology
0207 environmental engineering
Extreme events
Environmental science
02 engineering and technology
Precipitation
Tropical rainfall
020701 environmental engineering
01 natural sciences
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 15588432 and 15588424
- Volume :
- 58
- Database :
- OpenAIRE
- Journal :
- Journal of Applied Meteorology and Climatology
- Accession number :
- edsair.doi...........ebcba08fc71d15178faa0c618b37c77b
- Full Text :
- https://doi.org/10.1175/jamc-d-18-0011.1