A priori selection of hydrological model structures in modular modeling frameworks: Results from RRMT
收藏DataCite Commons2023-07-07 更新2024-07-13 收录
下载链接:
https://data.bris.ac.uk/data/dataset/3ejdmw5t6rjgy28ghgumidwt5f/
下载链接
链接失效反馈官方服务:
资源简介:
We evaluated 10 hydrological model structures on a large sample of catchments across Great Britain to test the importance of a priori model selection. Our results emphasize the importance of model structure selection based on explicit perceptual models. Here, we provide the data that may be most useful for future studies - summaries of model scores for each catchment from the Rainfall-Runoff Modelling Toolbox, and time-series of model output for each catchment from the 6 different model structures.
提供机构:
University of Bristol
创建时间:
2023-07-07



