atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
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Updated
Dec 17, 2024 - Python
atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
Functions and Python scripts to ingest ERA5 data into Google Earth Engine
A collection of bias correction techniques written in Python - for climate sciences.
StraitFlux calculates oceanic transports and crosssections on different model grids.
general I/O interface for NetCDF, HDF4, HDF5 of fortran90 language
VICAL is a open-source implementation to calculate 23 VIs map (VIs commonly used in agricultural applications) and time series of any agricultural area
Python utilities for downloading NASA MERRA2 data in NetCDF
Bias correction command-line tool for climatic research written in C
Set of Matlab functions for probabilistic hazard assessments of tephra accumulation
Automatic Lidar and Ceilometer Processing Framework (ALCF)
Web-Map Database - Global Storm Surge Reconstructions (GSSR)
Web site for the paper "Conducting and Analyzing Human Studies: The Role of Variation and Aggregation"
Python library to download, stack, and manipulated atmospheric reanalyses.
[Insight Data Engineering project] A climate data warehouse that enables the immediate analysis of large climate datasets without data preparation.
Python application for downloading meteorological reanalysis data
A streamlined workflow for processing daily ensemble mean SWE from the HMA-SR dataset, focused on catchment-scale analysis.
Simple functions for reading and analysing ERA5 reanalysis data from the Copernicus CDS
A step-by-step guide used to compile the NOAA ARL era52arl program on Linux
The design principles for EvapoGEE were that it should provide a site-specific reference evapotranspiration (ET0) estimate for a range of dates using different reanalysis data sets (CFSv2, GLDAS, NLDAS y RTMA); dataset currently available in GEE
Matlab codes that I used to process oceanographic data
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