{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T02:28:27Z","timestamp":1773973707808,"version":"3.50.1"},"reference-count":162,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,3,18]],"date-time":"2023-03-18T00:00:00Z","timestamp":1679097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EIFFEL project","award":["101003518"],"award-info":[{"award-number":["101003518"]}]},{"name":"EIFFEL project","award":["101004186"],"award-info":[{"award-number":["101004186"]}]},{"name":"WaterForCE project","award":["101003518"],"award-info":[{"award-number":["101003518"]}]},{"name":"WaterForCE project","award":["101004186"],"award-info":[{"award-number":["101004186"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This research paper presents a systematic literature review on the use of remotely sensed and\/or global datasets in distributed hydrological modelling. The study aims to investigate the most commonly used datasets in hydrological models and their performance across different geographical scales of catchments, including the micro-scale (&lt;10 km2), meso-scale (10 km2\u20131000 km2), and macro-scale (&gt;1000 km2). The analysis included a search for the relation between the use of these datasets to different regions and the geographical scale at which they are most widely used. Additionally, co-authorship analysis was performed on the articles to identify the collaboration patterns among researchers. The study further categorized the analysis based on the type of datasets, including rainfall, digital elevation model, land use, soil distribution, leaf area index, snow-covered area, evapotranspiration, soil moisture and temperature. The research concluded by identifying knowledge gaps in the use of each data type at different scales and highlighted the varying performance of datasets across different locations. The findings underscore the importance of selecting the right datasets, which has a significant impact on the accuracy of hydrological models. This study provides valuable insights into the use of remote sensed and\/or global datasets in hydrological modelling, and the identified knowledge gaps can inform future research directions.<\/jats:p>","DOI":"10.3390\/rs15061642","type":"journal-article","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T03:09:37Z","timestamp":1679281777000},"page":"1642","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Remote Sensed and\/or Global Datasets for Distributed Hydrological Modelling: A Review"],"prefix":"10.3390","volume":"15","author":[{"given":"Muhammad Haris","family":"Ali","sequence":"first","affiliation":[{"name":"Department of Hydroinformatics and Socio-Technical Innovation, IHE Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, The Netherlands"},{"name":"Water Resources Section, Delft University of Technology, 2628 CD Delft, The Netherlands"}]},{"given":"Ioana","family":"Popescu","sequence":"additional","affiliation":[{"name":"Department of Hydroinformatics and Socio-Technical Innovation, IHE Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0183-4168","authenticated-orcid":false,"given":"Andreja","family":"Jonoski","sequence":"additional","affiliation":[{"name":"Department of Hydroinformatics and Socio-Technical Innovation, IHE Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2031-9871","authenticated-orcid":false,"given":"Dimitri P.","family":"Solomatine","sequence":"additional","affiliation":[{"name":"Department of Hydroinformatics and Socio-Technical Innovation, IHE Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, The Netherlands"},{"name":"Water Resources Section, Delft University of Technology, 2628 CD Delft, The Netherlands"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1080\/02508060.2018.1444307","article-title":"Climate change and adaptive water management: Innovative solutions from the global South","volume":"43","author":"MacAlister","year":"2018","journal-title":"Water Int."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s00477-019-01760-5","article-title":"Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections","volume":"34","author":"Jehanzaib","year":"2020","journal-title":"Stoch. Environ. Res. 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