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Peter Kalverla
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Logo for ESMValTool

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
93
264
Logo for ESMValCore

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
45
71
Logo for s2spy

s2spy

A high-level python package integrating expert knowledge and artificial intelligence to boost sub-seasonal to seasonal (S2S) forecasting.

  • AI
  • S2S
  • Python
  • Shell
6
3
Logo for Lilio

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
5
3
Logo for ewatercycle

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
10
2

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
5
1

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
4
1

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
18
0

era5cli

A command line interface to download ERA5 data from the Copernicus Climate Data Store

  • Python
17
0

Storyboards

The storyboards application allows you to host a collection of stories using an intuitive layout.

  • Visualization
  • HTML
  • Vue
  • JavaScript
5
0

Springtime

Spatiotemporal phenology research with interpretable models

  • geospatial
  • Machine learning
  • phenology
  • Python
  • Dockerfile
4
0
Logo for ewatercycle-wflow

ewatercycle-wflow

eWaterCycle plugin for wflow hydrological model

  • Python
3
0