Morsy, Mona Ahmad and Dietrich, Peter and Scholten, Thomas and Michaelides, Silas and Borg, Erik and 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. pp. 201-237. doi: 10.1016/C2019-0-04124-6. ISBN 978-012822973-6.
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Official URL: https://www.elsevier.com/books/precipitation-science/michaelides/978-0-12-822973-6
Abstract
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.
| Item URL in elib: | https://elib.dlr.de/147204/ | ||||||||||||||||||||||||||||
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| Document Type: | Book Section | ||||||||||||||||||||||||||||
| Title: | The potential of using satellite-related precipitation data sources in arid regions (CHAPTER 7) | ||||||||||||||||||||||||||||
| Authors: |
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| Date: | 2021 | ||||||||||||||||||||||||||||
| Journal or Publication Title: | Precipitation Science- In: Measurement, Remote Sensing, Microphysics, and Modeling | ||||||||||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||||||||||
| DOI: | 10.1016/C2019-0-04124-6 | ||||||||||||||||||||||||||||
| Page Range: | pp. 201-237 | ||||||||||||||||||||||||||||
| Editors: |
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| Publisher: | Elsevier | ||||||||||||||||||||||||||||
| ISBN: | 978-012822973-6 | ||||||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||||||
| Keywords: | Arid region, precipitation, remote sensing | ||||||||||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||||||
| DLR - Research theme (Project): | R - Remote Sensing and Geo Research | ||||||||||||||||||||||||||||
| Location: | Neustrelitz | ||||||||||||||||||||||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > National Ground Segment | ||||||||||||||||||||||||||||
| Deposited By: | Borg, Prof.Dr. Erik | ||||||||||||||||||||||||||||
| Deposited On: | 15 Dec 2021 12:02 | ||||||||||||||||||||||||||||
| Last Modified: | 28 Nov 2023 12:57 |
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