Analysis Of Spatially And Temporally Disjoint Precipitation Datasets To Estimate The 3D Distribution Of Rain
Keywords
Drop size distribution; NEXRAD; Precipitation; Rain extinction coefficients; Rain Rate
Abstract
This paper deals with the analysis of remote sensing experiments conducted for the purpose of estimating microwave rain extinction coefficients in intense convective rain events. Because the sensors (NEXRAD, zenith looking radiometer and in-situ rain gauge/disdrometer) sample different portions of the rain column they cannot be compared directly in the time domain. To account for these differences, we use the radar and in-situ sensors to construct the instantaneous 3-D rain volume that fills the upward viewing microwave radiometer antenna field of view. After providing a time series 3-D rain volumes, it will be possible to run a radiative transfer model (RTM) to calculate the theoretical downwelling radiance (bright temperature, Tb), which will be correlated with the radiometer observations. Because the Tb is directly proportional to the rain absorption, it will be possible to iteratively solve for the extinction coefficients using a maximum likelihood estimation approach.
Publication Date
12-1-2017
Publication Title
International Geoscience and Remote Sensing Symposium (IGARSS)
Volume
2017-July
Number of Pages
5256-5259
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/IGARSS.2017.8128187
Copyright Status
Unknown
Socpus ID
85041824164 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85041824164
STARS Citation
Schneider, Larry and Jones, W. Linwood, "Analysis Of Spatially And Temporally Disjoint Precipitation Datasets To Estimate The 3D Distribution Of Rain" (2017). Scopus Export 2015-2019. 7438.
https://stars.library.ucf.edu/scopus2015/7438