Paper
30 April 2003 Investigating regime-dependent rainfall variations using TRMM active and passive microwave sensors
Author Affiliations +
Proceedings Volume 4894, Microwave Remote Sensing of the Atmosphere and Environment III; (2003) https://doi.org/10.1117/12.466282
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
Recent attempts to determine the response of the tropical hydrological cycle to climate forcing have been hampered by large discrepancies in the variability of available long-term satellite rainfall datasets over seasonal to interannual time scales. From investigations of regional and time-dependent changes in the structure of precipitation systems it is apparent that variations in precipitation systems due to differences in the meteorological regimes produce biases in satellite retrievals. This can have severe consequences for studies of climate variability since changes in these "climate regime" biases over seasonal or interannual time scales can produce large errors in the observed variability. Using data from the Tropical Rainfall Measuring Mission (TRMM) we have attempted to identify and understand how changes in the structure of precipitation systems result in biases in various single sensor satellite retrievals. Evidence of differences in the relative content of ice versus liquid water, systematic changes in the height of the liquid water column, and changes in the relationship of low-level liquid water content to surface rainfall have been found, which can impact passive microwave rainfall retrievals. In addition, evidence of significant changes in the mean drop diameter between these regions may lead to significant biases in retrievals from the precipitation radar. Although TRMM has produced improvements in estimates of zonal mean rainfall, we must address this issue of time-dependent systematic biases associated with climate regimes if we wish to develop more accurate retrievals for either regional applications or global mean estimates suitable for studies of climate variability.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wesley K. Berg and Christian D. Kummerow "Investigating regime-dependent rainfall variations using TRMM active and passive microwave sensors", Proc. SPIE 4894, Microwave Remote Sensing of the Atmosphere and Environment III, (30 April 2003); https://doi.org/10.1117/12.466282
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KEYWORDS
Meteorology

Satellites

Microwave radiation

Climatology

Liquids

Gemini Planet Imager

Sensors

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