Bias adjustment of infrared-based rainfall estimation using Passive Microwave satellite rainfall data
| Autor: | Negar Karbalaee, Kuolin Hsu, Dan Braithwaite, Soroosh Sorooshian |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Atmospheric Science
Global precipitation 010504 meteorology & atmospheric sciences Meteorology 0208 environmental biotechnology Probability matching Sample (statistics) 02 engineering and technology Rainfall estimation 01 natural sciences 020801 environmental engineering Satellite rainfall Geophysics Space and Planetary Science Temporal resolution Earth and Planetary Sciences (miscellaneous) Environmental science Precipitation Microwave 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Journal of Geophysical Research: Atmospheres. 122:3859-3876 |
| ISSN: | 2169-897X |
| DOI: | 10.1002/2016jd026037 |
| Popis: | Author(s): Karbalaee, N; Hsu, K; Sorooshian, S; Braithwaite, D | Abstract: This study explores using Passive Microwave (PMW) rainfall estimation for spatial and temporal adjustment of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System(PERSIANN-CCS). The PERSIANN-CCS algorithm collects information from infrared images to estimate rainfall. PERSIANN-CCS is one of the algorithms used in the IntegratedMultisatellite Retrievals for GPM (Global Precipitation Mission) estimation for the time period PMW rainfall estimations are limited or not available. Continued improvement of PERSIANN-CCS will support Integrated Multisatellite Retrievals for GPM for current as well as retrospective estimations of global precipitation. This study takes advantage of the high spatial and temporal resolution of GEO-based PERSIANN-CCS estimation and the more effective, but lower sample frequency, PMW estimation. The Probability Matching Method (PMM) was used to adjust the rainfall distribution of GEO-based PERSIANN-CCS toward that of PMW rainfall estimation. The results show that a significant improvement of global PERSIANN-CCS rainfall estimation is obtained. |
| Databáze: | OpenAIRE |
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