Parameterisation (status quo):
Partly unrealistic values.
# %cover types in other imperv. areas (PROVGU)
abimo@data$BELAG1 <- share_belag[1] #100 -> 34.69844
abimo@data$BELAG2 <- share_belag[2] # 0 -> 48.03494
abimo@data$BELAG3 <- share_belag[3] # 0 -> 5.54433
abimo@data$BELAG4 <- share_belag[4] # 0 -> 11.72229
# %cover types in street areas
abimo@data$STR_BELAG1 <- share_belag_str[1] #100 -> 51.344865
abimo@data$STR_BELAG2 <- share_belag_str[2] #0 -> 26.501014
abimo@data$STR_BELAG3 <- share_belag_str[3] #0 -> 14.497974
abimo@data$STR_BELAG4 <- share_belag_str[4] #0 -> 7.656147
# % imperviousness streets
abimo@data$VGSTRASSE <- share_vg_str #100 -> 90.0402
# channelization degrees. based on data provided BEWG (2020-11-03)
abimo@data$KANAL <- 1
abimo@data$KAN_BEB <- 80
abimo@data$KAN_VGU <- 80
abimo@data$KAN_STR <- 80
Scenarios
Climate Scenarios
Simulation for a:
see: 64ecb9a

Decoupling Scenarios
Derived from WP1: https://kwb-r.github.io/keys.lid/articles/scenarios.html
Single Measures
Combination of Measures
De-coupling Results:

scenarios.xlsx
Parameterisation (status quo):
Partly unrealistic values.
ABIMO-Berlinprovided by @amatzi and filteringkanal = 1), see: 8222247Scenarios
Climate Scenarios
Simulation for a:
dryyearwetyear andaverage/medianyearsee: 64ecb9a
Decoupling Scenarios
Derived from WP1: https://kwb-r.github.io/keys.lid/articles/scenarios.html
Single Measures
Combination of Measures
De-coupling Results:
scenarios.xlsx