Peter Kalverla
ESMValTool
The Earth System Model eValuation Tool is a community diagnostics and performance metrics tool for the evaluation of Earth System Models that allows for routine comparison of models and observations.
- Big data
- Optimized data handling
- Visualization
- + 1
- NCL
- Python
- R
- + 6
ESMValCore
ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.
- Big data
- Optimized data handling
- Visualization
- + 1
- Python
- Jupyter Notebook
- HTML
- + 5
s2spy
A high-level python package integrating expert knowledge and artificial intelligence to boost sub-seasonal to seasonal (S2S) forecasting.
- AI
- S2S
- Python
- Shell
Lilio
A Python package for generating calendars to resample timeseries into training and target data for machine learning. Named after the inventor of the Gregorian Calendar.
- AI
- Preprocessing
- S2S
- Python
- Shell
ewatercycle
The eWaterCycle package makes it easier to use hydrological models without having intimate knowledge about how to install and run the models.
- Inter-operability & linked data
- Multi-scale & multi model simulations
- Optimized data handling
- + 1
- Python
i-VRESSE workflow-builder
Need to write a complex config file then the i-VRESSE workflow builder might be the tool for you.
- Workflow technologies
- TypeScript
- Python
- CSS
- + 3
WAM2layers
WAM2layers is an atmospheric moisture-tracking model that can be used to determine where precipitation originally evaporated (backtracking), or where evaporated moisture eventually ends up (forward tracking).
- atmospheric rivers
- ERA5
- hydrological cycle
- + 4
- Python
- Jupyter Notebook
Atlas of climate projections
The atlas demonstrates outputs from the probabilistic projection methods developed or assessed in the European Climate Projection system EUCP Horizon2020 project.
- Visualization
- Jupyter Notebook
- Vue
- Python
- + 1
era5cli
A command line interface to download ERA5 data from the Copernicus Climate Data Store
- Python
Storyboards
The storyboards application allows you to host a collection of stories using an intuitive layout.
- Visualization
- HTML
- Vue
- JavaScript
Springtime
Spatiotemporal phenology research with interpretable models
- geospatial
- Machine learning
- phenology
- Python
- Dockerfile
ewatercycle-wflow
eWaterCycle plugin for wflow hydrological model
- Python