Trend-based calibration experiments with floodX data
收藏DataCite Commons2020-09-20 更新2024-07-13 收录
下载链接：
https://zenodo.org/record/3475502
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资源简介：
This archive contains the results from calibration experiments with trend-like data. A simple EPA SWMM flood model was calibrated with different combinations of conventional water level data and trend-like water level data. Three different measurement locations in the model were possible: the pond (s3), the outlet shaft (s5), and the basement (s6). Trend-like data of different qualities were considered: error-free data (codename "trend"), data with correlated errors ("sofi") and data with uncorrelated errors ("gaussiantrend").
提供机构：
Eawag: Swiss Federal Institute of Aquatic Science and Technology
创建时间：
2019-10-07
