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利用GEM-Hydro模型的校准版本生成的五大湖水文输出。

Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model.

作者信息

Gaborit Étienne, Mai Juliane, Princz Daniel, Shen Hongren, Vionnet Vincent, Tolson Bryan, Fortin Vincent

机构信息

Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada.

Department of Earth and Environmental Science, University of Waterloo, Waterloo, ON, Canada.

出版信息

Sci Data. 2025 Jan 22;12(1):127. doi: 10.1038/s41597-025-04409-x.

DOI:10.1038/s41597-025-04409-x
PMID:39843890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11754626/
Abstract

This dataset contains outputs from a calibrated version of the GEM-Hydro model developed at Environment and Climate Change Canada (ECCC) and is available on the Federated Research Data Repository. The dataset covers the basins of the Laurentian Great Lakes and the Ottawa River and extends over the period 2001-2018. The data consist of all variables (hourly fluxes and state variables) related to the water balance of GEM-Hydro's land-surface scheme (including precipitation, surface and sub-surface runoff, drainage, evaporation, snow water equivalent, soil moisture…) and mean daily streamflow at 212 gauge locations. These outputs were simulated with a calibrated version of the GEM-Hydro model that was run in open-loop mode (no assimilation) and driven with atmospheric forcings coming from ECCC's Canadian Surface Reanalysis version 2.1. GEM-Hydro achieves satisfactory simulations of various hydrologic variables when compared to reference datasets. This dataset can be used for example to drive any routing model, compute climatologies or statistics for different hydrologic variables and study their variability as a function of the local geo-morphology, etc.

摘要

该数据集包含加拿大环境与气候变化部（ECCC）开发的GEM-Hydro模型校准版本的输出结果，可在联邦研究数据存储库中获取。该数据集涵盖了 Laurentian 五大湖流域和渥太华河流域，时间跨度为2001年至2018年。数据包括与GEM-Hydro陆面方案水平衡相关的所有变量（每小时通量和状态变量）（包括降水、地表和地下径流、排水、蒸发、雪水当量、土壤湿度等）以及212个测量站位置的日平均流量。这些输出结果是通过在开环模式（无同化）下运行的GEM-Hydro模型校准版本模拟得到的，并由ECCC的加拿大地表再分析版本2.1的大气强迫驱动。与参考数据集相比，GEM-Hydro对各种水文变量的模拟效果令人满意。例如，该数据集可用于驱动任何路由模型、计算不同水文变量的气候学或统计数据，并研究它们作为当地地貌函数的变异性等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df31/11754626/109190f85bb1/41597_2025_4409_Fig14_HTML.jpg
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本文引用的文献

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