Python Module to analyze temperature anomalies in Graz.
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Updated
Dec 7, 2021 - Python
Python Module to analyze temperature anomalies in Graz.
Precipitation climatology anomalies of Tanzania, shedding light on drought in the East African country. A jupyter notebook tutorial for geospatial analysis of netcdf data, and precipitation time series.
Interactive deployable visualisation of volcanic datasets provided for TAR experiments of the ISA-MIP climate model intercomparison initiative.
Sibia Global AI is a collaborative initiative driven by experts from academia and industry to catalyze impactful work at the intersection of climate change and machine learning.
Python workshop for EES405 course @IISERM
Diffusion for climate downscaling
A Statistician reads published Climate Science
R Code for Statistics and Data Visualizations in Climate Science with R and Python
R.Weather CDMS, es un sistema computacional que integra colecciones de datos y su representación espacial, facilitando el registro, manejo, análisis, distribución y utilización de datos hidroclimatológicos.
Climate drivers of the springtime North America cooling pattern
Repository that containts climate relevant ML datasets from the Climate Modeling Alliance.
Code for the paper "Machine learning of cloud types in satellite observations and climate models".
A collection of fully functioning (hopefully) scripts about climate/atmospheric science
Evaluates tropospheric temperature and zonal wind pressure profiles over a variety of projections, seasonal changes, altitudes, etc.
The Oceland Model is a conceptual box model based on water balance equations and including basic moisture exchange processes in a coupled land-ocean-atmosphere system.
Machine learning resources for Earth Sciences
Climate data explorer website using the NOAA Climate Data Online API and other climate data sources. Compare temps, precipitation, and other climate data with compelling data visualizations.
Data for 'Origins of a relatively tight lower bound on anthropogenic aerosol radiative forcing from Bayesian analysis of historical observations' (2021)
Project website for our NASA-funded computational climate-science curriculum
Interface to the 'ICOS' Carbon Portal
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