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Observed data prep #59

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Observed data prep #59

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b95a23e
Treiber Observed data prepped
MaxMLang Apr 6, 2023
07ac0cc
Added Observed data preparation
MaxMLang Apr 6, 2023
c8b0c37
Small changes data wrangling observed data
MaxMLang Apr 6, 2023
881631d
Merge branch 'main' into observed-data-prep
MaxMLang Apr 6, 2023
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26 changes: 24 additions & 2 deletions ObservedData_preparation.R
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Original file line number Diff line number Diff line change
@@ -1,5 +1,7 @@
library(tidyverse)
# Treiber Variabless

# Treiber Variables -----

filepath_list <- list(airtmp = "observed_data/Treiber/airtmp.txt",
glorad = "observed_data/Treiber/glorad.txt",
groundwaterdepth = "observed_data/Treiber/groundwaterdepth.txt",
Expand Down Expand Up @@ -58,4 +60,24 @@ df <- df %>% left_join(df_relhum, by=c("key", "YY", "MM", "DD", "catchment"))
df <- df %>% left_join(df_snowstorage, by=c("key", "YY", "MM", "DD", "catchment"))
df <- df %>% left_join(df_soilwaterrootzone, by=c("key", "YY", "MM", "DD", "catchment"))
df <- df %>% left_join(df_precip, by=c("key", "YY", "MM", "DD", "catchment"))
df <- df %>% select(- key)

df_variables <- df %>% select(- key)


# Target variable ----
#BIG QUESTION MARK HERE?
df_target <- read.table("observed_data/Target/gerinneabfluss_modelliert_mit_Beobachtungsdaten.txt", header = T)
df_target <- tidyr::unite(df_target, col='key', c('YY', 'MM', "DD", "HH"), sep='-')
df_target$key <- as.factor(df_target$key)
df_target <- gather(df_target, catchment, drainage, X11502:X20203, factor_key=TRUE)
df_target <- tidyr::separate(df_target, col = "key", c('YY', 'MM', "DD", "HH"), sep='-')
df_target$YY <- as.numeric(df_target$YY)
df_target$MM <- as.numeric(df_target$MM)
df_target$DD <- as.numeric(df_target$DD)
df_target <- tidyr::unite(df_target, col='key', c('YY', 'MM', "DD", "catchment"), sep='-', remove = FALSE)
df_target <- df_target %>%
group_by(YY, MM, DD, catchment, key) %>%
summarise(precip = mean(drainage)) %>% as.data.frame()