140-year daily ensemble streamflow reconstructions over 661 catchments in France

Author:

Devers AlexandreORCID,Vidal Jean-PhilippeORCID,Lauvernet ClaireORCID,Vannier Olivier,Caillouet Laurie

Abstract

Abstract. The recent development of FYRE (French hYdroclimate REanalysis) Climate, a high-resolution ensemble daily reanalysis of precipitation and temperature covering the 1871–2012 period and the whole of France, offers the opportunity to derive streamflow series over the country from 1871 onwards. The FYRE Climate dataset has been used as input for hydrological modelling over a large sample of 661 near-natural French catchments using the GR6J (Génie Rural à 6 Paramètres Journaliers) lumped conceptual model. This approach led to the creation of the 25-member hydrological reconstructions, HydRE (Hydrological REconstruction), spanning the 1871–2012 period. Two sources of uncertainties have been taken into account: (1) the climate uncertainty using forcings from all 25 ensemble members provided by FYRE Climate and (2) the streamflow measurement error by perturbing observations used during the calibration. Further, the hydrological model error based on the relative discrepancies between observed and simulated streamflow has been added to derive the HydREM (Hydrological REconstruction with Model error) streamflow reconstructions. These two reconstructions are compared to other hydrological reconstructions with different meteorological inputs, hydrological reconstructions from a machine learning algorithm, and independent and dependent observations. Overall, the results show the added value of the HydRE and HydREM reconstructions in terms of quality, uncertainty estimation, and representation of extremes, therefore allowing us to better understand the variability in past hydrology over France.

Funder

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Compagnie Nationale du Rhône

Publisher

Copernicus GmbH

Reference72 articles.

1. Abaza, M., Anctil, F., Fortin, V., and Turcotte, R.: Sequential streamflow assimilation for short-term hydrological ensemble forecasting, J. Hydrol., 519, 2692–2706, https://doi.org/10.1016/j.jhydrol.2014.08.038, 2014. a

2. Allen, R., Pereira, L., Raes, D., and Smith, M.: Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, FAO-Food and Agriculture Organisation of the United Nations, Rome, Geophysics, 156, 178, https://www.fao.org/4/X0490E/X0490E00.htm (last access: 24 July 2024), 1998. a

3. Andréassian, V., Lerat, J., Loumagne, C., Mathevet, T., Michel, C., Oudin, L., and Perrin, C.: What is really undermining hydrologic science today?, Hydrol. Process., 21, 2819–2822, https://doi.org/10.1002/hyp.6854, 2007. a

4. Arsenault, R., Gatien, P., Renaud, B., Brissette, F., and Martel, J.-L.: A comparative analysis of 9 multi-model averaging approaches in hydrological continuous streamflow simulation, J. Hydrol., 529, 754–767, https://doi.org/10.1016/j.jhydrol.2015.09.001, 2015. a

5. Berthier, C.-H.: Quantification des incertitudes des débits calculés par un modèle pluie-débit empirique, Master's thesis, Université Paris Sud XI, Paris, https://webgr.irstea.fr/wp-content/uploads/2012/07/2005-BERTHIER-DEA.pdf (last access: 12 July 2024), 2005. a, b

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3