PRAGA PRogram for AGrometeorological Analysis
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Updated
Jun 7, 2024 - C++
PRAGA PRogram for AGrometeorological Analysis
Antarctic dataset used to predict ice calving front through a u-net CNN model
Application for tree-ring stable isotopes data analysis
VA-AM (Various Advanced - Analogue Methods) is a Python package based on the deep learning enhancement of the classical statistical Analogue Method. It provides several tools to analyse climatological extreme events, particularly heat waves.
Load and create NetCDF files in Julia
A Python package to detect heat wave events using pandas.
Climate Variability Indices for Ecological Modelling
Model2roms is a Python toolbox for creating forcing files required to run Regional Ocean Modeling System (ROMS)
The goal of the Application is to automatize downloading of in-situ meteorological and hydrological data from public repository of Polish Institute of Meterology and Water Management - National Research Institute IMGW-PIB https://dane.imgw.pl/
👣 Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).
Repository for the creation of an open-source ARM Climatology paper.
A continuous, absolute-dated, 150,000-year record of monsoon hydroclimate dynamics from a permanent lagoon in the core monsoon region of northern Australia, compared to global circulation model hindcasts
RAGNAR, the Resolution Adaptive Generator of Nocturnal Airglow Radiation, creates line lists of sky emission lines with unprecedented accuracy for wavelength calibration of spectrographs and for robust atmospheric study.
Add geolocalised subsetting, masking, and plotting operations to xarray
Agro-meteorological Monitoring INDices
Notebooks python pour l'exploitation des données Météo-France en ligne sur meteo.data.gouv.fr
Commandline tool to plot global temperature data using data from the Global Historical Climatology Network.
Python package for automated detection and tracking of cumulus clouds from satellite data
Notebooks Python to download and view ERA5 climatologic data, as well as to extract time series (hourly to monthly data on many atmospheric and land-surface parameters)
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