10.25678/0001B6
Moy de Vitry, Matthew
Matthew
Moy de Vitry
https://orcid.org/0000-0001-7834-7053
Swiss Federal Institute of Aquatic Science and Technology, Eawag
Trend-based calibration experiments with floodX data
Eawag: Swiss Federal Institute of Aquatic Science and Technology
2019
Publication Data Package
Flood Trend
model calibration
urban drainage
urban flooding
urban water management
2019-10-07
2019
en
1.0
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
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").