Morsy, Mona Ahmad und Dietrich, Peter und Scholten, Thomas und Michaelides, Silas und Borg, Erik und Sherief, Youssef (2021) The potential of using satellite-related precipitation data sources in arid regions (CHAPTER 7). In: Precipitation Science- In: Measurement, Remote Sensing, Microphysics, and Modeling Elsevier. Seiten 201-237. doi: 10.1016/C2019-0-04124-6. ISBN 978-012822973-6.
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Offizielle URL: https://www.elsevier.com/books/precipitation-science/michaelides/978-0-12-822973-6
Kurzfassung
Arid regions are defined as areas receiving only light and irregular precipitation, with rates falling below those of evaporation. Arid and semiarid regions represent 30 percent of the worlds terrestrial area. Data availability is a limiting factor when deriving scientific conclusions of studies on arid and semiarid regions, with insufficient data reducing the quality of results and leading to misguided decisions and policies. Ground-based rain gauges are traditionally used to measure precipitation by measuring an incremental mass of accumulated rainfall as a function of time. However, the existing network of rain gauges is far from satisfactory in resolving the spatiotemporal characteristics of precipitation. Although this knowledge gap is partly bridged via the use of other ground-based instruments (e.g., disdrometers, ground-based radars), sensors onboard satellites are currently the only instruments that can provide global and homogeneous precipitation measurements. Michaelides et al. (2009) provide a comprehensive discussion of ground- and space-based precipitation measurement instruments.
elib-URL des Eintrags: | https://elib.dlr.de/147204/ | ||||||||||||||||||||||||||||
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Dokumentart: | Beitrag in einem Lehr- oder Fachbuch | ||||||||||||||||||||||||||||
Titel: | The potential of using satellite-related precipitation data sources in arid regions (CHAPTER 7) | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 2021 | ||||||||||||||||||||||||||||
Erschienen in: | Precipitation Science- In: Measurement, Remote Sensing, Microphysics, and Modeling | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
DOI: | 10.1016/C2019-0-04124-6 | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 201-237 | ||||||||||||||||||||||||||||
Herausgeber: |
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Verlag: | Elsevier | ||||||||||||||||||||||||||||
ISBN: | 978-012822973-6 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | Arid region, precipitation, remote sensing | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Fernerkundung u. Geoforschung | ||||||||||||||||||||||||||||
Standort: | Neustrelitz | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Nationales Bodensegment | ||||||||||||||||||||||||||||
Hinterlegt von: | Borg, Prof.Dr. Erik | ||||||||||||||||||||||||||||
Hinterlegt am: | 15 Dez 2021 12:02 | ||||||||||||||||||||||||||||
Letzte Änderung: | 28 Nov 2023 12:57 |
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