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Evaluating High-Resolution Satellite...
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Khan, Sana.
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Evaluating High-Resolution Satellite Precipitation Products Globally Over Land and Oceans.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Evaluating High-Resolution Satellite Precipitation Products Globally Over Land and Oceans./
作者:
Khan, Sana.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
136 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:
Dissertations Abstracts International80-12B.
標題:
Hydrologic sciences. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13865650
ISBN:
9781392227244
Evaluating High-Resolution Satellite Precipitation Products Globally Over Land and Oceans.
Khan, Sana.
Evaluating High-Resolution Satellite Precipitation Products Globally Over Land and Oceans.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 136 p.
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Thesis (Ph.D.)--George Mason University, 2019.
This item must not be sold to any third party vendors.
Accurate precipitation measurements at fine spatial and temporal resolutions have the potential to improve our understanding of the hydrological cycle at global, regional, and local scales. The recent NASA's Global Precipitation Mission (GPM) provides high quality, high resolution (0.1° and 30 min) precipitation estimates over a quasi-global domain (60°N−60°S), i.e., the Integrated Multi-satellitE Retrievals for GPM (IMERG) suite of products. The IMERG algorithm fuses information from several satellite microwave and infrared precipitation estimates, merged with ground-based gauge information. Errors and uncertainties associated with these products represent the main limitation for their use in operational applications, such as flood modeling, hazard mitigation, climate change predictions, and water management policy. This work focuses on comprehensively assessing the performance of IMERG precipitation products over land and oceans. Firstly, the dependence of IMERG uncertainties on seasonality and climatology is investigated over the contiguous United States. Secondly, a framework to verify the viability of using satellite radar-based retrievals, i.e., the Dual-Frequency Precipitation Radar (DPR), as a global reference for quantifying errors in the IMERG products is developed for both land areas and oceans. This is critical to extend the error evaluation to regions where ground validation observations are scarce or not available altogether. The hypothesis of using DPR as a benchmark for quantifying uncertainties associated with IMERG only holds true for evaluating random errors associated with infrared-based (IR) precipitation retrievals. Finally, an error model is developed, calibrated, and validated to estimate errors and uncertainties associated with the IMERG IR product as a function of climatology. This research provides valuable insights about the reliability of high-resolution satellite precipitation datasets to improve their efficiency in operational applications and proposes a new error product for the IMERG IR estimates.
ISBN: 9781392227244Subjects--Topical Terms:
3168407
Hydrologic sciences.
Evaluating High-Resolution Satellite Precipitation Products Globally Over Land and Oceans.
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Accurate precipitation measurements at fine spatial and temporal resolutions have the potential to improve our understanding of the hydrological cycle at global, regional, and local scales. The recent NASA's Global Precipitation Mission (GPM) provides high quality, high resolution (0.1° and 30 min) precipitation estimates over a quasi-global domain (60°N−60°S), i.e., the Integrated Multi-satellitE Retrievals for GPM (IMERG) suite of products. The IMERG algorithm fuses information from several satellite microwave and infrared precipitation estimates, merged with ground-based gauge information. Errors and uncertainties associated with these products represent the main limitation for their use in operational applications, such as flood modeling, hazard mitigation, climate change predictions, and water management policy. This work focuses on comprehensively assessing the performance of IMERG precipitation products over land and oceans. Firstly, the dependence of IMERG uncertainties on seasonality and climatology is investigated over the contiguous United States. Secondly, a framework to verify the viability of using satellite radar-based retrievals, i.e., the Dual-Frequency Precipitation Radar (DPR), as a global reference for quantifying errors in the IMERG products is developed for both land areas and oceans. This is critical to extend the error evaluation to regions where ground validation observations are scarce or not available altogether. The hypothesis of using DPR as a benchmark for quantifying uncertainties associated with IMERG only holds true for evaluating random errors associated with infrared-based (IR) precipitation retrievals. Finally, an error model is developed, calibrated, and validated to estimate errors and uncertainties associated with the IMERG IR product as a function of climatology. This research provides valuable insights about the reliability of high-resolution satellite precipitation datasets to improve their efficiency in operational applications and proposes a new error product for the IMERG IR estimates.
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