Results extracted for Brazil. Refer to the global article for more context.
Daily river discharge for station(s) in Brazil
Daily discharge [m3/s] at for observations (Obs), and simulations by model’s internal routing scheme (Mir) and CaMa-Flood (CaMa). The model JULES-W2 provided discharge simulated using two different routing schemes (Mir and Mir2). Only the time-period for which observational data was available is shown.
FIG 1
QQ plots for station(s) in Brazil
QQ-plot comparing the distribution of observed and the distribution of simulated values for daily discharge [in m3/s] at for observation (Obs), and simulations by model’s internal routing scheme (Mir) and CaMa-Flood (CaMa). The model JULES-W2 provided discharge simulated using two different routing schemes (Mir and Mir2)."
FIG 2
Annual maximum river discharge for station(s) in Brazil
Maximum annual discharge [m3/s] at for observations (Obs), and simulations by model’s internal routing scheme (Mir) and CaMa-Flood (CaMa). The model JULES-W2 provided discharge simulated using two different routing schemes (Mir and Mir2). Only the time-period for which observational data was available is shown.
FIG 3
Cumulative annual maximum river discharge for station(s) in Brazil
Cumulative plot of maximum annual discharge [m3/s] at for observations (Obs), and simulations by model’s internal routing scheme (Mir) and CaMa-Flood (CaMa). The model JULES-W2 provided discharge simulated using two different routing schemes (Mir and Mir2).
FIG 4
Affiliations
1 Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
2 School of Geography, Faculty of Social Sciences, University of Nottingham, Nottingham, United Kingdom
3 Institute of Physical Geography (IPG), Goethe-University Frankfurt, Frankfurt am Main, Germany
4 Senckenberg Leibniz Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany
5 International Institute for Applied Systems Analysis, Laxenburg, Austria
6 College of Environmental and Resource Sciences, Zhejiang University, Zhejiang, China
7 Department of Earth and Environmental Sciences, Dalhousie University, Halifax, Canada
8 Technical University of Crete, Chania, Greece
9 Water, Environment, Processes and Analyses Division, BRGM – French Geological Survey, Orléans, France
10 National Institute for Environmental Studies, Tsukuba, Japan
11 Southern University of Science and Technology, China
12 Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
13 Max Planck Institute for Meteorology, Germany