{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T19:34:22Z","timestamp":1782934462245,"version":"3.54.5"},"reference-count":64,"publisher":"Copernicus GmbH","issue":"5","license":[{"start":{"date-parts":[[2020,5,14]],"date-time":"2020-05-14T00:00:00Z","timestamp":1589414400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Hydrol. Earth Syst. Sci."],"abstract":"<jats:p>Abstract. The European Centre for Medium-Range Weather Forecasts\n(ECMWF) recently released its most advanced reanalysis product, the ERA5\ndataset. It was designed and generated with methods giving it multiple\nadvantages over the previous release, the ERA-Interim reanalysis product.\nNotably, it has a finer spatial resolution, is archived at the hourly time\nstep, uses a more advanced assimilation system and includes more sources of\ndata. This paper aims to evaluate the ERA5 reanalysis as a potential\nreference dataset for hydrological modelling by considering the ERA5\nprecipitation and temperatures as proxies for observations in the\nhydrological modelling process, using two lumped hydrological models over\n3138 North American catchments. This study shows that ERA5-based\nhydrological modelling performance is equivalent to using observations over\nmost of North America, with the exception of the eastern half of the US,\nwhere observations lead to consistently better performance. ERA5 temperature\nand precipitation biases are consistently reduced compared to ERA-Interim\nand systematically more accurate for hydrological modelling. Differences\nbetween ERA5, ERA-Interim and observation datasets are mostly linked to\nprecipitation, as temperature only marginally influences the hydrological\nsimulation outcomes.<\/jats:p>","DOI":"10.5194\/hess-24-2527-2020","type":"journal-article","created":{"date-parts":[[2020,5,14]],"date-time":"2020-05-14T08:32:15Z","timestamp":1589445135000},"page":"2527-2544","source":"Crossref","is-referenced-by-count":544,"title":["Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America"],"prefix":"10.5194","volume":"24","author":[{"given":"Mostafa","family":"Tarek","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9754-3014","authenticated-orcid":false,"given":"Fran\u00e7ois P.","family":"Brissette","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2834-2750","authenticated-orcid":false,"given":"Richard","family":"Arsenault","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3145","published-online":{"date-parts":[[2020,5,14]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Albergel, C., Dutra, E., Munier, S., Calvet, J.-C., Munoz-Sabater, J., de Rosnay, P., and Balsamo, G.: ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?, Hydrol. 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