chrystali2002 Goto Github PK

adgvm1_ccam

aDGVM1 with with CCAM downscaled GCM daily input data

africa-sentinel5p-apps

agmerra2dssat

analogmethod

downscaling from GCM to local scale with Analog Method

animation

This folder contains Climate data plotted and saved in annimation with different simple methods

aoespy

Python library for basic climate data handling @author: [email protected]

atlas

Datasets, code and virtual workspace for the Climate Change ATLAS

awesome-open-climate-science

Awesome Open Atmospheric, Ocean, and Climate Science

caravan

cesm-lens-aws

Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask

climate

Mirror of Apache Open Climate Workbench

climate-analysis

Code used for the analysis and visualisation of climate data during my PhD

climate4r

An R Framework for Climate Data Access and Post-processing

climate_indices

Climate indices for drought monitoring, community reference implementations in Python

climetlab

Python package to easy access to weather and climate data

climlab

Python package for process-oriented climate modeling

cmip6-downscalling

Pipeline for statistical downscaling of earth system model output

cmip6-temperature-demo

Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.

covid19_westaf_wg3

ctsm

Community Terrestrial Systems Model (includes the Community Land Model of CESM)

ddrp-cohorts-v1

The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States. DDRP is written entirely in the R statistical programming language (R Development Core Team 2019), making it flexible and extensible, and has a simple command-line interface that has already been adapted for online use. The platform can use a variety of gridded weather and climate data types for any historical (post-hoc), real-time, or future (downscaled GCM) time period. Model products include gridded (raster) and graphical outputs of number of completed generations, phenological/pest events, and climate suitability (i.e., establishment risk maps).

ddrp_v2

A final production version of the DDRP platform that includes cohorts, parallel processing, and improving mapping routines. The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States. DDRP is written entirely in the R statistical programming language (R Development Core Team 2019), making it flexible and extensible, and has a simple command-line interface that has already been adapted for online use. The platform can use a variety of gridded weather and climate data types for any historical (post-hoc), real-time, or future (downscaled GCM) time period. Model products include gridded (raster) and graphical outputs of number of completed generations, phenological/pest events, and climate suitability (i.e., establishment risk maps).

downscalecmip6

Tools for downscaling gridded data using xarray

dynamical-downscaling-cordex-statistical-analyses

Statistical analysis and projection from dynamically downscaled regional climate models (CORDEX)

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

eclm

Fork of Community Land Model v5.0

ehf

Python code to calculate Excess Heat Factor and derived heatwave metrics

enhancecomm

era5

Python code to manage ERA5 downloads at NCI