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a-recipe-for-weather-regimes

A recipe in Python to calculate weather regimes

atlas

Code for reproducibility of the products of the AR6 WGI Interactive Atlas

babydaybook-graph

Create graphs for https://play.google.com/store/apps/details?id=com.drillyapps.babydaybook

bboxfinder.com

Helper page for finding bbox values from a map to help with interaction with tools like gdal, leaflet, openlayers, etc.

c3s-xskillscore

c3s_evaluator

A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data

c6data

climate-life-events

Climate history and possible futures showing your important life events

climate_indices

Climate indices for drought monitoring

covid

Data analysis on COVID-19

dash-energy

Testing Dash app on Azure

dispa-set

The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC

docker-dash

Docker configuration to develop and deploy a Plotly Dash application

downscaler

R package for statistical downscaling

ecad-data-browser

A R Shiny application to explore ECA&D metadata

enear

Climate lab support functions

era5-correlation-video

Source code for the video https://www.youtube.com/watch?v=xpBijQev-4s

era5-country-averages

Lorem Ipsum

era5-land-globe-animation

Animation of several ERA5-Land variables on a rotating globe

estimating-the-forward-electricity-curve-in-brazil

Estimating The Forward Electricity Curve In Brazil With A Model Of Two Agents Using Contracts By Difference And ECP_G Function Authors: Felipe Van de Sande Araujo, Cristina Spineti Luz, Leonardo Lima Gomes, Luís Eduardo Teixeira Brandão Abstract: The development of simple and effective mechanisms to estimate the value of the forward curve of power could enable market participants to better price hedging or speculative positions. This could in turn provide transparency in future price definition to all market participants and lead to more safety and liquidity in the market for electricity futures and power derivatives. This work presents a model for two market participants, a buyer and a seller of a contract for difference on the future spot price of electricity in southwest Brazil. It is shown that this model is representative of all market participants that have exposure to the future price of power. Each participant’s utility function is modeled using a Generalized Extended CVaR Preference (ECP_G) and the market equilibrium is obtained through the minimization of the quadratic difference between the certainty equivalent of both agents. The results are compared with prediction of the future spot price of power made by market specialists and found to yield reasonable results when using out of sample data.

grib-timeseries-extract

Extract time-series from ERA5-land using political administrative boundaries

hddtools

Hydrological Data Discovery Tools (R package for hydrology and open data)

hydro-sam

a set of R scripts that can be used to scrape and/or process hydropower generation data

loader

mapama_download

Code (R and Python) to retrieve data from the Redes de Seguimiento del Estado e Información Hidrológica

metenergy_data

modelling-electricity-generation-with-era5

This repository contains a set of R scripts and the data illustrating the possibility to model hourly electricity generation from renewable sources using the latest climate reanalysis from the Copernicus Climate Change Service (C3S).

ncdf.tools

:exclamation: This is a read-only mirror of the CRAN R package repository. ncdf.tools — Easier 'NetCDF' File Handling

ninja_automator

Acquire data with honour and wisdom — using the way of the ninja.

panas

Reduce the friction when working with maps & time-series