Analysis and product generation for meteorological data.
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Updated
May 24, 2024 - C
Analysis and product generation for meteorological data.
Tiling tool for gridded data
A python package for easy dowonloading and processing of PRISM climatic data
python package for analyzing general circulation model output data
This repository enables one to spin-up a FastAPI/Xpublish server from an Intake or STAC catalog.
Download and process binary IMD meteorological data in Python
.NET Port of OpenGrads allowing you to draw gridded data on maps
An R Interface to the Daymet Web Services
Harmonize heterogenous spatiotemporal gridded agriculture-related datasets. Part of a larger ongoing project to monitor land and water use by combining irrigation and gridded data via remote sensing data with machine learning.
HISDAC-ES: Creating historical settlement data for Spain (1900-2020) based on cadastral building footprint data
Miscellaneous codes for harmonizing agricultural output and other agri-related data raster files and shapefiles. Extracts from raster files the grid-cell data by shapefile boundary.
Miscellaneous codes for spatial mapping and raster data manipulation
AgroMo is an Integrated Assessment and Modelling software that integrates 4M a CERES based crop model, the Biome-BGCMuSo biogeochemical and a simple agro-economical model in order to support decision makers at multiple scales.
Utilities for masking, contour tracing, and geocontour construction with gridded geographic data
Two-dimensional spatial filters, developed for application to ocean & atmosphere model output and gridded observations
Some work on IMD Pune's gridded data sets
PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru
Scripts for urban NO2 air quality analysis. Funded by the Air, Climate, and Health Lab at George Washington University
An hourly gridded precipitation product for Chillon, Rimac and Lurin basins (CHIRILU), Peru.
Small model to simulate biomass production on a global scale. Products are Gross Primary Production (GPP), Net Primary Production (NPP). It is based on a modified version of the Farquhar approach (Haxeltine and Prentice 1996, Farquhar et al. 1980). Where possible, it uses vectorization and parallelization and dynamically downloads latest av
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