Radar and Remote Sensing

Effect of surface properties on satellite microwave passive precipitation retrieval: implication for improving quantitative precipitation estimates

Yaoyao Zheng

School of Meteorology

21 April 2016, 1:30 PM

National Weather Center, Room 1350
120 David L. Boren Blvd.
University of Oklahoma
Norman, OK

One of the primary uncertainties in the satellite overland quantitative precipitation estimates (QPE) from the passive microwave radiometer is the land surface emissivity, which act as the background radiometric noise affecting the accuracy of satellite precipitation estimation. The microwave emissivity over land is highly heterogeneous and dynamics and can be susceptible to various surface properties, ranging from soil moisture vertical profiles, vegetation structure, surface temperature to soil texture. In order to understand the composite effect of surface land properties on the land surface emissivity, multi-sensor datasets from satellite, ground-based radar and in-situ measurement are used to develop statistical model to investigate the effect of different surface properties on the land surface emissivity and to derive a dynamic land surface emissivity dataset in rainy scenes based on the relationship between surface properties and land surface emissivity.

Radar and Remote Sensing Seminar Series website