This program collect real-time data from INMET
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Updated
Nov 30, 2023 - Python
This program collect real-time data from INMET
Compare variable and station "season"tologies!
Creating an Antarctic dataset to predict ice calving front through a u-net CNN model
☔️ NOAA/NASA weather database and GrADS software
Precipitation climatology anomalies of Tanzania, shedding light on drought in the East African country. A jupyter notebook tutorial for geospatial analysis of netcdf data, and precipitation time series.
Commandline tool to plot global temperature data using data from the Global Historical Climatology Network.
FieldClim Package from the course "topoclimatology" in summer term 2021 by Fabian Mitze and Hanna Wenzel
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/
An R package to create meteorological radial plots from wind measurements data within speed and direction of provenance.
Python implementation for calculating the Standard Precipitation Index (SPI) and Standard Precipitation Evapotranspiration Index (SPEI)
Exploration and extraction of daily GHCN climatological data (Global Historical Climatologic Network)
Repository for the creation of an open-source ARM Climatology paper.
This repository contains code and figures associated with the "Did droughts contribute to the political dynamics of Majapahit? A preliminary hydroclimatological analysis" manuscript .
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.
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.
Application for tracheidograms clustering and comparing obtained clusters with the climate
Processing of DRIAS climate change data in France: file reading, statistics and statistics, restitution in an Excel file
ENVI/IDL extensions for NRS department
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