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
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/
☔️ 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.
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.
ENVI/IDL extensions for NRS department
MSc: This study focuses on the application of the standardized scale (AR Scale) to analyze the frequency of occurrence and the associated impacts of Atmospheric Rivers. The analysis relies on the use of an algorithm that allows to characterize AR, classifying them in five categories (AR1 to AR5) according to their intensity and persistence
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