{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T05:59:16Z","timestamp":1720591156307},"reference-count":56,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T00:00:00Z","timestamp":1607904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51879194","51579183"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001731","name":"Danida Fellowship Centre","doi-asserted-by":"publisher","award":["18-M01-DTU"],"id":[{"id":"10.13039\/501100001731","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"Satellite altimetry can fill the spatial gaps of in-situ gauging networks especially in poorly gauged regions. Although at a generally low temporal resolution, satellite altimetry has been successfully used for water surface elevation (WSE) estimation and hydrodynamic modeling. This study aims to investigate the contribution of WSE from both short-repeat and geodetic altimetry to hydrodynamic model calibration, and also explore the contribution of the new Sentinel-3 mission. Two types of data sources (i.e., in-situ and satellite altimetry) are investigated together with two roughness cases (i.e., spatially variable and uniform roughness) for calibration of a hydrodynamic model (DHI MIKE 11) with available bathymetry. A 150 km long reach of Han River in China with rich altimetry and in-situ gauging data is selected as a case study. Results show that the performances of the model calibrated by satellite altimetry-derived datasets are acceptable in terms of Root Mean Square Error (RMSE) of simulated WSE. Sentinel-3A can support hydrodynamic model calibration even though it has a relatively low temporal resolution (27-day repeat cycle). The CryoSat-2 data with a higher spatial resolution (7.5 km at the Equator) are proved to be more valuable than the Sentinel-3A altimetry data with a low spatial resolution (104 km at the Equator) for hydrodynamic model calibration in terms of RMSE values of 0.16 and 0.18 m, respectively. Moreover, the spatially variable roughness can also improve the model performance compared to the uniform roughness case, with decreasing RMSE values by 2\u201314%. Our finding shows the value of satellite altimetry-derived datasets for hydrodynamic model calibration and therefore supports flood risk assessment and water resources management.<\/jats:p>","DOI":"10.3390\/rs12244087","type":"journal-article","created":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T02:25:08Z","timestamp":1607999108000},"page":"4087","source":"Crossref","is-referenced-by-count":7,"title":["On the Contribution of Satellite Altimetry-Derived Water Surface Elevation to Hydrodynamic Model Calibration in the Han River"],"prefix":"10.3390","volume":"12","author":[{"given":"Youjiang","family":"Shen","sequence":"first","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"},{"name":"Hubei Province Key Lab of Water System Science for Sponge City Construction, Wuhan University, Wuhan 430072, China"}]},{"given":"Dedi","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"},{"name":"Hubei Province Key Lab of Water System Science for Sponge City Construction, Wuhan University, Wuhan 430072, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7907-1677","authenticated-orcid":false,"given":"Liguang","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Environmental Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2305-8729","authenticated-orcid":false,"given":"Jiabo","family":"Yin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"},{"name":"Hubei Province Key Lab of Water System Science for Sponge City Construction, Wuhan University, Wuhan 430072, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0035-1869","authenticated-orcid":false,"given":"Karina","family":"Nielsen","sequence":"additional","affiliation":[{"name":"DTU Space, National Space Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9861-4240","authenticated-orcid":false,"given":"Peter","family":"Bauer-Gottwein","sequence":"additional","affiliation":[{"name":"Department of Environmental Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-8594-4988","authenticated-orcid":false,"given":"Shenglian","family":"Guo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"45242","DOI":"10.1038\/srep45242","article-title":"Influence of Anthropogenic climate change on planetary wave resource and extreme weather events","volume":"7","author":"Mann","year":"2017","journal-title":"Sci. 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