Kreischa

Modelling the catchment area Kreischa (historical and future scenarios) with the hydrological model Raven as part of the lecture MHYD05 "Einzugsgebietsmodellierung" at TU Dresden.

Content

code contains python/R code for creating Raven and Ostrich input files and hydrological response units (HRU) as well as plotting functions for the model output.
data contains geographical data (shp's) and soil data.
model_files* contains Raven input files and/or results (historical run: 2001 - 2019, future run: 2006 - 2100).
ostrich contains utilities and results of parametrization with ostrich.

Overview

Usage

1. Download and compile the model Raven.
2. Add model_files* into the model's directory.
3. Run model with ./Raven.exe Kreischa.

Data Source

1. historical meteorological data (DWD's open data server)

https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/daily/kl/historical/
https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/daily/solar/

2. climate simulation data (ReKIS: CMIP5_CanESM2_EPISODES-2018)

https://rekisviewer.hydro.tu-dresden.de/fdm/ReKISExpert.jsp#menu-5

3. soil (LfULG)

https://www.boden.sachsen.de/digitale-bodenkarte-1-50-000-19474.html

4. land use (LfULG)

https://www.natur.sachsen.de/biotoptypen-und-landnutzungskartierung-btlnk-22282.html

5. DEM (GeoSN)

https://www.landesvermessung.sachsen.de/verfugbarkeit-aktualitat-5305.html

Packages and Dependencies

Python

datetime 4.3, fiona 1.8.20, geopandas 0.10.2, matplotlib 3.5.1, numpy 1.22.0, pandas 1.3.5, proplot 0.9.5, pymannkendall 1.4.2, rasterio 1.2.10, richdem 0.3.4, scipy 1.7.3, shapely 1.8.0

R

• raster 3.5-2 and rgeos 0.5-9 for geo-data
• tidyverse 1.3.1 for data processig and plot,
• patchwork 1.1.1 for figures layout