Satellite Precipitation Uncertainty
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: closed (25 November 2021) | Viewed by 5010
Special Issue Editors
Interests: regional climate changes; diurnal rainfall; remote sensing of precipitation; multiple timescale interactions; climate model simulation and projection
Interests: atmospheric modeling; remote sensing; satellite precipitation
2. Department of Physics, National and Kapodistrian University of Athens, 157 72 Athens, Greece
Interests: numerical weather prediction; satellite rainfall estimates; data fusion
Special Issue Information
Dear Colleagues,
Precipitation is an important element in the global water cycle. Free and accessible satellite-based estimates of precipitation covering a nearly global domain are an important data source for various research studies. It is important to assess and understand the uncertainty of satellite precipitation prior to applying the satellite precipitation to various research subjects.
This Special Issue aims to publish research helping to clarify satellite precipitation uncertainty from a broad perspective. We invite researchers to contribute papers dealing with all aspects of satellite precipitation development, assessment, and application over regional or global domains. In particular, original research articles or review articles exploring the performance of various satellite precipitation products (CMORPH, CHIRPS, CloudSat, MSWEP, PERSIANN, GSMaP, IMERG, TMPA, etc.) over complex terrain are welcome. Topics of interest include, but are not limited to:
- Quantitative precipitation estimation;
- Spatial and temporal characteristics of satellite precipitation;
- Extreme precipitation events (front, tropical cyclone, etc.);
- Validation of precipitation simulation (global climate models, regional climate models, weather forecasting models, reanalyses, etc.) using satellite precipitation products;
- New methods applied to reduce satellite precipitation uncertainty.
Dr. Wan-Ru Huang
Dr. George Kallos
Dr. Nikolaos S. Bartsotas
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing of precipitation
- quantitative precipitation estimation
- spatio-temporal characteristics
- performance skills
- validation and application
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