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Precipitation Retrievals from Passive Microwave Cross-Track Sensors: The Precipitation Retrieval and Profiling Scheme
- Source :
- Remote Sensing, Volume 13, Issue 5, Pages: 947, Remote Sensing, Vol 13, Iss 947, p 947 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- The retrieval of precipitation (snowfall and rainfall) from satellite sensors on a global basis is essential in aiding our knowledge and understanding of the Earth System and for many societal applications. Measurements from surface-based instruments are essentially limited to populated regions, necessitating the use of satellite-based observations to provide estimates of precipitation across the whole of the Earth’s surface. The temporal and spatial variability of precipitation requires adequate sampling, especially at finer resolutions. It is, therefore, necessary to exploit all available data from precipitation-capable satellites to ensure the proper representation of precipitation. To date, the estimation of precipitation using passive microwave observations has been largely concentrated upon the conically scanning imaging instruments, with relatively few techniques exploiting the observations made from the cross-track sounders. This paper describes the development of the Precipitation Retrieval and Profiling Scheme (PRPS) to retrieve precipitation from cross-track sensors, together with its performance against surface radar data and other satellite precipitation retrievals.
- Subjects :
- 010504 meteorology & atmospheric sciences
precipitation retrievals
Science
rainfall
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
law.invention
law
Precipitation
Radar
0105 earth and related environmental sciences
Remote sensing
Profiling (computer programming)
validation
021110 strategic, defence & security studies
snowfall
Snow
Earth system science
General Earth and Planetary Sciences
Environmental science
Spatial variability
Satellite
Global Precipitation Measurement
global precipitation measurement
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....7ed85babe6f781f49e4f98ac47e9275d
- Full Text :
- https://doi.org/10.3390/rs13050947