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Precipitation Data Retrieval and Quality Assurance from Different Data Sources for the Namoi Catchment in Australia

Hydro & Meteo GmbH, Breite Straße 6-8, 23552 Lübeck, Germany
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Academic Editors: Mikiko Fujita, Kenji Nakamura, Jungho Kim and Atsushi Hamada
Received: 17 August 2021 / Revised: 17 September 2021 / Accepted: 20 September 2021 / Published: 28 October 2021
(This article belongs to the Special Issue Remote Sensing for Precipitation Retrievals)
Within the Horizon 2020 Project WaterSENSE a modular approach was developed to provide different stakeholders with the required precipitation information. An operational high-quality rainfall grid was set up for the Namoi catchment in Australia based on rain gauge adjusted radar data. Data availability and processing considerations make it necessary to explore alternative precipitation approaches. The gauge adjusted radar data will serve as a benchmark for the alternative precipitation data. The two well established satellite-based precipitation datasets IMERG and GSMaP will be analyzed with the temporal and spatial requirements of the applications envisioned in WaterSENSE in mind. While first results appear promising, these datasets will need further refinements to meet the criteria of WaterSENSE, especially with respect to the spatial resolution. Inferring information from soil moisture-derived from EO observations to increase the spatial detail of the existing satellite-based datasets is a promising approach that will be investigated along with other alternatives. View Full-Text
Keywords: precipitation measurement; radar; soil moisture; GPM; IMERG; GSMaP; Namoi precipitation measurement; radar; soil moisture; GPM; IMERG; GSMaP; Namoi
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MDPI and ACS Style

Strehz, A.; Einfalt, T. Precipitation Data Retrieval and Quality Assurance from Different Data Sources for the Namoi Catchment in Australia. Geomatics 2021, 1, 417-428. https://0-doi-org.brum.beds.ac.uk/10.3390/geomatics1040024

AMA Style

Strehz A, Einfalt T. Precipitation Data Retrieval and Quality Assurance from Different Data Sources for the Namoi Catchment in Australia. Geomatics. 2021; 1(4):417-428. https://0-doi-org.brum.beds.ac.uk/10.3390/geomatics1040024

Chicago/Turabian Style

Strehz, Alexander, and Thomas Einfalt. 2021. "Precipitation Data Retrieval and Quality Assurance from Different Data Sources for the Namoi Catchment in Australia" Geomatics 1, no. 4: 417-428. https://0-doi-org.brum.beds.ac.uk/10.3390/geomatics1040024

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