A Python interface between Earth Engine and xarray for processing time series data
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Updated
Dec 22, 2023 - Python
A Python interface between Earth Engine and xarray for processing time series data
Add geolocalised subsetting, masking, and plotting operations to xarray
Model2roms is a Python toolbox for creating forcing files required to run Regional Ocean Modeling System (ROMS)
GPS derived Precipitable Water Vapor (PWV) analysis tools with ML application: Flash Flood prediction in the Eastern Mediterranean area.
👧 Greta is an agile voice assistant to help reduce your carbon footprint.
Created to automate the climatological analysis workflows USACE Regulatory Project Managers are required to perform to comply with long-standing agency guidance as well as the new Navigable Waters Protection Rule, effective June 22, 2020..
Objective Cyclone Tracking ANalysis Tools
Repository for the creation of an open-source ARM Climatology paper.
Dataset from the Aemet (Spain) meteorological masts until 2012.
A Python package to detect heat wave events using pandas.
Detection and classification of microscopic foraminifera
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.
Compare variable and station "season"tologies!
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
Ingest code to convert nClimGrid ASCII datsets into NetCDF
This program collect real-time data from INMET
Creating an Antarctic dataset to predict ice calving front through a u-net CNN model
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