The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate
Open accessAbstract
The water cycle is the most essential supporting physical mechanism ensuring the existence of life on Earth. Its components encompass the atmosphere, land, and oceans. The cycle is composed of evaporation, evapotranspiration, sublimation, water vapor transport, condensation, precipitation, runoff, infiltration and percolation, groundwater flow, and plant uptake. For a correct closure of the global water cycle, observations are needed of all these processes with a global perspective. In particular, precipitation requires continuous monitoring, as it is the most important component of the cycle, especially under changing climatic conditions. Passive and active sensors on board meteorological and environmental satellites now make reasonably complete data available that allow better measurements of precipitation to be made from space, in order to improve our understanding of the cycle’s acceleration/deceleration under current and projected climate conditions. The article aims to draw an up-to-date picture of the current status of observations of precipitation from space, with an outlook to the near future of the satellite constellation, modeling applications, and water resource management.
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Cites
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Metadata
- Authors
- Levizzani, V., & Cattani, E.
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2019-10-02
- Volume
- 11
- Issue
- 19
- Pages
- 2301
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W2978496751
- Cited by
- 170
- References
- 10
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- gold
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- Levizzani, V., & Cattani, E. (2019). Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate. Remote Sensing. https://doi.org/10.3390/rs11192301
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
