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.
Python implementation for calculating the Standard Precipitation Index (SPI) and Standard Precipitation Evapotranspiration Index (SPEI)
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.
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
Predictable Component Analysis as performed in the article Bombardi RJ, Trenary L, Pegion KV, Cash B, DelSole T, Kinter JL (2018) Seasonal predictability of summer rainfall over South America. J. Clim., 31 (20), 8181–8195. DOI: 10.1175/JCLI-D-18-0191.1 https://journals.ametsoc.org/doi/full/10.1175/JCLI-D-18-0191.1
Various data experiments to do with CO2 levels and other climatology things
Application for tracheidograms clustering and comparing obtained clusters with the climate
Function to read the Global Historical Climatology Network monthly (GHCNm) temperature dataset v4, selection data by station code or a rectangular geographic area.
Detection and classification of microscopic foraminifera
This repository contains code and figures associated with the "Performance evaluation of a simple feed-forward deep neural network model applied to annual rainfall anomaly index (RAI) over Indramayu, Indonesia" manuscript
Application for tree-ring stable isotopes data analysis
A Python package to detect heat wave events using pandas.
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