{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T05:06:40Z","timestamp":1771736800074,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,5,4]],"date-time":"2023-05-04T00:00:00Z","timestamp":1683158400000},"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":["52279020"],"award-info":[{"award-number":["52279020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971030"],"award-info":[{"award-number":["41971030"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["202204051002027"],"award-info":[{"award-number":["202204051002027"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Innovation Teams of Shanxi Province","award":["52279020"],"award-info":[{"award-number":["52279020"]}]},{"name":"Science and Technology Innovation Teams of Shanxi Province","award":["41971030"],"award-info":[{"award-number":["41971030"]}]},{"name":"Science and Technology Innovation Teams of Shanxi Province","award":["202204051002027"],"award-info":[{"award-number":["202204051002027"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>High-resolution hydrological modeling is crucial for detecting extreme hydrological events and understanding fundamental terrestrial processes. However, spatial resolutions in current hydrological modeling studies have been mostly constrained to relatively coarse resolution (~10\u2013100 km), and they therefore have a difficult time addressing flooding or drought issues with fine resolutions. In this study, a continental-scale high-resolution hydrological modeling framework (0.0625\u00b0, ~6 km) driven by remote sensing products was used to detect extreme hydrological event occurrences in China and evaluated based on the Variable Infiltration Capacity (VIC) model. The results showed that the developed model provided more detailed information than the coarser resolution models (a 0.25\u00b0 and 1\u00b0), thereby capturing the timing, duration, and spatial extent of extreme hydrologic events regarding the 2012 Beijing flood and 2009\/10 drought in Hai River Basin. Here, the total water storage changes were calculated based on the VIC model (\u22120.017 mm\/year) and Gravity Recovery and Climate Experiment (GRACE) satellite (\u22120.203 mm\/year) to reflect the water availability caused by climate change and anthropogenic factors. This study found that the 0.0625\u00b0 dataset could capture detailed changes, thereby providing reliable information during occurrences of extreme hydrological events. The high-resolution model integrated with remote sensing products could be used for accurate evaluations of continental-scale extreme hydrological events and can be valuable in understanding its long-term occurrence and water resource security.<\/jats:p>","DOI":"10.3390\/rs15092402","type":"journal-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T02:08:42Z","timestamp":1683252522000},"page":"2402","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["The Benefits of Continental-Scale High-Resolution Hydrological Modeling in the Detection of Extreme Hydrological Events in China"],"prefix":"10.3390","volume":"15","author":[{"given":"Bowen","family":"Zhu","sequence":"first","affiliation":[{"name":"College of Water Resource Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4278-1023","authenticated-orcid":false,"given":"Xianhong","family":"Xie","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]},{"given":"Yibing","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]},{"given":"Xuehua","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Water Resource Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"128499","DOI":"10.1016\/j.jhydrol.2022.128499","article-title":"More frequent, long-lasting, extreme and postponed compound drought and hot events in eastern China","volume":"614","author":"Liu","year":"2022","journal-title":"J. Hydrol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"148829","DOI":"10.1016\/j.scitotenv.2021.148829","article-title":"Impacts of droughts and floods on croplands and crop production in southeast Asia\u2014An application of google earth engine","volume":"795","author":"Venkatappa","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1038\/nclimate1633","article-title":"Increasing drought under global warming in observations and models","volume":"3","author":"Dai","year":"2012","journal-title":"Nat. Clim. Change"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"102088","DOI":"10.1016\/j.scs.2020.102088","article-title":"Urban flash flood index based on historical rainfall events","volume":"56","author":"Abdullah","year":"2020","journal-title":"Sustain. Cities Soc."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.gloplacha.2015.10.006","article-title":"Flood-induced agricultural loss across China and impacts from climate indices","volume":"139","author":"Zhang","year":"2016","journal-title":"Glob. Planet. Change"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.jhydrol.2017.05.044","article-title":"Flash droughts in a typical humid and subtropical basin: A case study in the Gan river basin, China","volume":"551","author":"Zhang","year":"2017","journal-title":"J. Hydrol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"W05301","DOI":"10.1029\/2010WR010090","article-title":"Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring earth\u2019s terrestrial water","volume":"47","author":"Wood","year":"2011","journal-title":"Water Resour. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1016\/j.jhydrol.2018.11.046","article-title":"Subjective modeling decisions can significantly impact the simulation of flood and drought events","volume":"568","author":"Melsen","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.rse.2018.04.032","article-title":"Quantifying Australia\u2019s dryland vegetation response to flooding and drought at sub-continental scale","volume":"212","author":"Broich","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Marsalek, J., Stancalie, G., and Balint, G. (2006). Transboundary Floods: Reducing Risks through Flood Management, Springer.","DOI":"10.1007\/1-4020-4902-1"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2203","DOI":"10.1175\/JHM-D-19-0021.1","article-title":"Improving hydrologic modeling using cloud-free modis flood maps","volume":"20","author":"Tran","year":"2019","journal-title":"J. Hydrometeorol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.agrformet.2018.04.022","article-title":"Integrated remote sensing approach to global agricultural drought monitoring","volume":"259","author":"Piles","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"e2020MS002221","DOI":"10.1029\/2020MS002221","article-title":"A global flood risk modeling framework built with climate models and machine learning","volume":"13","author":"Carozza","year":"2021","journal-title":"J. Adv. Model. Earth Syst."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1618","DOI":"10.2166\/nh.2018.087","article-title":"Water storage and vegetation changes in response to the 2009\/10 drought over north China","volume":"49","author":"Zhu","year":"2018","journal-title":"Hydrol. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1537","DOI":"10.1002\/2014GL059323","article-title":"A grace-based water storage deficit approach for hydrological drought characterization","volume":"41","author":"Thomas","year":"2014","journal-title":"Geophys. Res. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"125960","DOI":"10.1016\/j.jhydrol.2021.125960","article-title":"Drought monitoring using high spatial resolution soil moisture data over Australia in 2015\u20132019","volume":"594","author":"Fang","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"e2020WR028394","DOI":"10.1029\/2020WR028394","article-title":"Impact of vegetation physiology and phenology on watershed hydrology in a semi-arid watershed in the pacific northwest in a changing climate","volume":"57","author":"Zhu","year":"2021","journal-title":"Water Resour. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"158425","DOI":"10.1016\/j.scitotenv.2022.158425","article-title":"Hydrological drought evaluation using grace satellite-based drought index over the lake basins, east Africa","volume":"852","author":"Seka","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"107251","DOI":"10.1016\/j.agwat.2021.107251","article-title":"Identifying the status of groundwater drought from a grace mascon model perspective across China during 2003\u20132018","volume":"260","author":"Wang","year":"2022","journal-title":"Agric. Water Manag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.gloplacha.2015.01.002","article-title":"Terrestrial water storage anomalies of Yangtze river basin droughts observed by grace and connections with ENSO","volume":"126","author":"Zhang","year":"2015","journal-title":"Glob. Planet. Chang."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"e2020GL088306","DOI":"10.1029\/2020GL088306","article-title":"Extending the global mass change data record: Grace follow-on instrument and science data performance","volume":"47","author":"Landerer","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"128295","DOI":"10.1016\/j.jhydrol.2022.128295","article-title":"Constructing high-resolution groundwater drought at spatio-temporal scale using grace satellite data based on machine learning in the Indus basin","volume":"612","author":"Ali","year":"2022","journal-title":"J. Hydrol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"14415","DOI":"10.1029\/94JD00483","article-title":"A simple hydrologically based model of land surface water and energy fluxes for general circulation models","volume":"99","author":"Liang","year":"1994","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Zhu, B., Xie, X., Lu, C., Lei, T., Wang, Y., Jia, K., and Yao, Y. (2021). Extensive evaluation of a continental-scale high-resolution hydrological model using remote sensing and ground-based observations. Remote Sens., 13.","DOI":"10.3390\/rs13071247"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2067","DOI":"10.1175\/JHM-D-13-0170.1","article-title":"A long-term land surface hydrologic fluxes and states dataset for China","volume":"15","author":"Zhang","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1175\/JHM568.1","article-title":"Regional parameter estimation of the vic land surface model: Methodology and application to river basins in China","volume":"8","author":"Xie","year":"2007","journal-title":"J. Hydrometeorol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"3191","DOI":"10.1175\/JCLI-D-11-00300.1","article-title":"Multisource estimation of long-term terrestrial water budget for major global river basins","volume":"25","author":"Pan","year":"2012","journal-title":"J. Clim."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1175\/JHM-D-12-0149.1","article-title":"Development of a China dataset of soil hydraulic parameters using pedotransfer functions for land surface modeling","volume":"14","author":"Dai","year":"2013","journal-title":"J. Hydrometeorol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1002\/jame.20026","article-title":"A China data set of soil properties for land surface modeling","volume":"5","author":"Shangguan","year":"2013","journal-title":"J. Adv. Model. Earth Syst."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.agrformet.2015.01.003","article-title":"Detection and attribution of changes in hydrological cycle over the three-north region of China: Climate change versus afforestation effect","volume":"203","author":"Xie","year":"2015","journal-title":"Agric. For. Meteorol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"135774","DOI":"10.1016\/j.scitotenv.2019.135774","article-title":"Sensitivity of soil moisture to precipitation and temperature over China: Present state and future projection","volume":"705","author":"Zhu","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1175\/BAMS-85-3-381","article-title":"The global land data assimilation system","volume":"85","author":"Rodell","year":"2004","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2574","DOI":"10.1002\/2014WR016853","article-title":"Global analysis of approaches for deriving total water storage changes from grace satellites","volume":"51","author":"Long","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"e2020WR028666","DOI":"10.1029\/2020WR028666","article-title":"Reconstruction of GRACE total water storage through automated machine learning","volume":"57","author":"Sun","year":"2021","journal-title":"Water Resour. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1016\/j.agwat.2018.12.009","article-title":"Unexpected groundwater recovery with decreasing agricultural irrigation in the yellow river basin","volume":"213","author":"Zhang","year":"2019","journal-title":"Agric. Water Manag."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1007\/s11069-013-0601-6","article-title":"Beijing storm of July 21, 2012: Observations and reflections","volume":"67","author":"Wang","year":"2013","journal-title":"Nat. Hazards"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1360\/03yd9033","article-title":"Study on spatial pattern of land-use change in China during 1995\u20132000","volume":"46","author":"Liu","year":"2003","journal-title":"Sci. China Ser. D"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"32","DOI":"10.3390\/w6010032","article-title":"Evaluation of version-7 TRMM multi-satellite precipitation analysis product during the Beijing extreme heavy rainfall event of 21 July 2012","volume":"6","author":"Huang","year":"2014","journal-title":"Water"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"135868","DOI":"10.1016\/j.scitotenv.2019.135868","article-title":"Quantifying the response of potential flooding risk to urban growth in Beijing","volume":"705","author":"Wang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Chen, S., Liu, H., You, Y., Mullens, E., Hu, J., Yuan, Y., Huang, M., He, L., Luo, Y., and Zeng, X. (2014). Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0089681"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1007\/s13753-012-0009-z","article-title":"China\u2019s drought disaster risk management: Perspective of severe droughts in 2009\u20132010","volume":"3","author":"Ye","year":"2012","journal-title":"Int. J. Disaster Risk Sci."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.jhydrol.2014.09.068","article-title":"Comparative analysis of drought based on precipitation and soil moisture indices in Haihe basin of north China during the period of 1960\u20132010","volume":"526","author":"Qin","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_43","first-page":"23","article-title":"Drought monitoring and analysis in China based on the integrated surface drought index (ISDI)","volume":"41","author":"Wu","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"102777","DOI":"10.1016\/j.ijdrr.2021.102777","article-title":"Integrating seasonal forecasts into real-time drought management: J\u00facar river basin case study","volume":"70","author":"Andreu","year":"2022","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"126679","DOI":"10.1016\/j.jhydrol.2021.126679","article-title":"Integrated real-time flood risk identification, analysis, and diagnosis model framework for a multireservoir system considering temporally and spatially dependent forecast uncertainties","volume":"600","author":"Xu","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2693","DOI":"10.1002\/2013WR014710","article-title":"Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model","volume":"50","author":"Wu","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"3923","DOI":"10.5194\/hess-18-3923-2014","article-title":"Improving streamflow predictions at ungauged locations with real-time updating: Application of an ENKF-based state-parameter estimation strategy","volume":"18","author":"Xie","year":"2014","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"e2020WR028205","DOI":"10.1029\/2020WR028205","article-title":"Using remote sensing data-based hydrological model calibrations for predicting runoff in ungauged or poorly gauged catchments","volume":"56","author":"Huang","year":"2020","journal-title":"Water Resour. Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.jhydrol.2008.03.006","article-title":"A remote sensing driven distributed hydrological model of the Senegal river basin","volume":"354","author":"Stisen","year":"2008","journal-title":"J. Hydrol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"108669","DOI":"10.1016\/j.agrformet.2021.108669","article-title":"Loess plateau evapotranspiration intensified by land surface radiative forcing associated with ecological restoration","volume":"311","author":"Jiang","year":"2021","journal-title":"Agric. For. Meteorol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.jhydrol.2010.10.032","article-title":"Development and test of swat for modeling hydrological processes in irrigation districts with paddy rice","volume":"396","author":"Xie","year":"2011","journal-title":"J. Hydrol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/9\/2402\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:29:11Z","timestamp":1760124551000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/9\/2402"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,4]]},"references-count":51,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2023,5]]}},"alternative-id":["rs15092402"],"URL":"https:\/\/doi.org\/10.3390\/rs15092402","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,4]]}}}