Paper Info
Title
Considering Multi-Viewing Directions To Improve Precipitation Retrieval Performance From Off-Nadir Viewing Passive Microwave Radiometers
Abstract
The impact of the three dimenstion (3D) effect on the passive microwave rainfall estimations is examined by synthetic retrievals employing a Bayesian methodology. The results showed that the uncertainty in the rainfall estimations due to the 3D effect depended on the viewing directions considered in the a-priori information. It was also found that taking more viewing angles or the azimuth angles in the apriori information into consideration tended to moderate the retrieval difference that resulted from the different viewing directions. In addition, the retrieval uncertainty related to the 3D effect appeared to be more significant for heavy rainfall cases with large amounts of ice particles, as expected. We additionally performed the retrieval experiments with the databases constructed with the one dimensional slant path (1D-SP) calculation. In general, the 3D model-based experiments slightly outperformed the 1D-SP model-based experiments. However, the 1D-SP model may be considered as an alternative model for the full 3D radiative transfer model with limited computing resources and a required level of the retrieval accuracy.
Year
DOI
Venue
2016
10.1109/IGARSS.2016.7729154
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Keywords
Field
DocType
passive, microwave, precipitation, estimation
Nadir,Meteorology,Microwave,Computer science,Remote sensing,Azimuth,Atmospheric radiative transfer codes,Solid modeling,Bayesian probability,Precipitation,Radiometer
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Dong-Bin Shin100.68
Yeji Choi203.72