forest growth model 4C

Idris application-independent libraries. These are extensions of prelude and base Idris libraries, mainly motivated by the development of https://github.com/nicolabotta/SeqDecProbs.

This tutorial aims to help the creation of new charts for the compare scenarios report

This is a test project for GitLab at PIK

Ebook-Server for IT-internal use. Using Calibre-Web.

DISCONTINUED! Please find the up to date repository at https://github.com/PIK-LPJmL/LPJmL where we now host the open-source repository

Creating read and convert functions for European Energy Datasheets

Tools for managing and querying a SLURM cluster.

The BAtch OBserve Aggregate Package is a small framework for performing numerical experiments on dynamical systems.

Simulation runs are grouped in batches, observed locally and the observations then aggregated.

Benchmarc scripts for MOM5 output.

scripts for IRS

Sea level projections for the ISIMIP2 Project

UncerTiSe contains Python modules to help analyze time series with uncertainties - developed under the DFG Project "Impacts of uncertainties in climate data analyses (IUCliD)" (DFG MA4759/8).

Contains example scripts for the 'uncertise' package

Python for Power System Dynamics

Supporting Information for the article "Holistic energy system modeling combining multi-objective optimization and life cycle assessment"

The plume model after Jenkins, 2011 (DOI: 10.1175/JPO-D-11-03.1) and Cowton, 2015 (DOI 10.1002/2014JC010324) written in python for runge-kutta method.