ERottler

ERottler

Geek Repo

Company:University of Potsdam

Location:Potsdam, Germany

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ERottler's repositories

meltimr

Shiny web app to investigate daily resolution streamflow recordings with regard to changes in runoff seasonality and runoff timing.

Language:RLicense:GPL-3.0Stargazers:5Issues:0Issues:0

rfs

Rhine Flood Seasonality

Language:RStargazers:1Issues:0Issues:0

rhine_flow

Detection of long-term changes in hydro-climatological data combining quantile sampling with moving average trend statistics and empirical mode decomposition.

Language:RLicense:GPL-3.0Stargazers:1Issues:0Issues:0

alptempr

Elevation-dependent warming in the Swiss Alps: features, forcings and feedbacks

Language:RStargazers:0Issues:0Issues:0

env-sci-interactive

Overview on inte-R-active applications, maps, graphics and packages from environmental scientists from Potsdam and Berlin.

Language:RLicense:GPL-3.0Stargazers:0Issues:2Issues:0

lumpR

Landscape Unit Mapping Program for R

Language:RLicense:GPL-3.0Stargazers:0Issues:0Issues:0

meltim

Snow simulations using a physically based snow routine with parameter calibration using DDS to investigate elevation-dependent compensation effects in snowmelt.

Language:RLicense:GPL-3.0Stargazers:0Issues:2Issues:0

mhm_rhine

Sto-R-age: Projected changes in flood seasonality in the Rhine River Basin under 1.5, 2.0 and 3.0 °C global warming.

Language:RLicense:GPL-3.0Stargazers:0Issues:0Issues:0

nrc_avalanche

NatRiskChange Task Force Avalanche. Final report in form of a Shiny dashboard.

Language:RLicense:GPL-3.0Stargazers:0Issues:0Issues:0

rhine-flood-genesis

Shiny dashboard that enables the spatio-temporal analysis of historic and projected flood formation in the Rhine River basin.

Language:RLicense:GPL-3.0Stargazers:0Issues:2Issues:0

networks

Web scraping and interactive network visualization in R.

License:MITStargazers:0Issues:0Issues:0

nrc_git

Introduction to git for NatRiskChange.

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saga_basin

Watershed delineation using RSAGA.

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snowAlone

Standalone Fortran Console Application snow model based on the energy balance method presented in ECHSE.

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Language:RLicense:GPL-3.0Stargazers:0Issues:0Issues:0

WASA-SED

WASA-SED is a numerical model for simulation hydrological and sediment fluxes from meso-scale catchments (Mueller et al., 2010). This repository contains documentation, sample data set and source code.

Language:FortranLicense:NOASSERTIONStargazers:0Issues:1Issues:0