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@ClimateImpactLab Climate Impact Lab

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    89 repositories

    • poreallas

      Public
      Mortality rate projection using seasonal forecast ensembles. Loosely based on Carleton et al 2022 (https://doi.org/10.3386/w27599).
      pythonprototypeanalysis
      pythonprototypeanalysis
      Jupyter Notebook
      •
      Apache License 2.0
      •3•1•3•3•Updated Aug 31, 2026Aug 31, 2026

    • dodola

      Public
      Containerized application for running individual tasks in a larger, orchestrated CMIP6 bias-adjustment and downscaling workflow.
      pythonclimatecmip6
      pythonclimatecmip6downscale
      Python
      •
      Apache License 2.0
      •9•17•7•3•Updated Aug 31, 2026Aug 31, 2026

    • labor-code-release-2020

      Public
      supportresearchlabor
      supportresearchlaborclimate-changesupplemental
      Jupyter Notebook
      •0•2•0•1•Updated Aug 28, 2026Aug 28, 2026

    • cilresearch-deployments

      Public
      Deployment repository for cilresearch.org
      kubernetescilresearch
      kubernetescilresearch
      0•3•0•0•Updated Aug 27, 2026Aug 27, 2026

    • isku

      Public
      Minimalist Xarray-based climate impact projection framework.
      pythonlibraryxarray
      pythonlibraryxarrayimpacts
      Python
      •
      Apache License 2.0
      •1•3•8•0•Updated Aug 27, 2026Aug 27, 2026

    • cil_regionalization

      Public
      Aggregate impact region results to GADM administrative units, with published weight files
      Python
      •0•0•0•0•Updated Aug 20, 2026Aug 20, 2026

    • impact-calculations

      Public
      The impacts-calculations contains the code necessary to generate, aggregate, and analyze physical impacts from econometric response functions.
      Python
      •2•2•1•1•Updated Aug 5, 2026Aug 5, 2026

    • metacsv

      Public
      Tools for documentation-aware data reading, writing, and analysis
      risingverse
      risingverse
      Python
      •
      MIT License
      •2•2•5•9•Updated Aug 4, 2026Aug 4, 2026

    • impactlab-tools

      Public
      Python tools for Climate Impact Lab developers
      risingverse
      risingverse
      Python
      •
      MIT License
      •2•10•5•6•Updated Aug 4, 2026Aug 4, 2026

    • parameterize_jobs

      Public
      concisely and clearly create large, parameterized, mapped job specifications
      Python
      •
      MIT License
      •1•0•7•0•Updated Aug 4, 2026Aug 4, 2026

    • dscim

      Public
      Data-Driven Spatial Climate Impact Model core component code
      Python
      •
      Apache License 2.0
      •3•7•16•11•Updated Aug 4, 2026Aug 4, 2026

    • data-adaptation-report-energy

      Public
      Data underlying the Climate Impact Lab Adaptation Roadmap Report, July 2026 Energy: Measuring the impact of rising temperatures on energy consumption to target …
      Creative Commons Attribution 4.0 International
      •0•0•0•0•Updated Jul 27, 2026Jul 27, 2026

    • flex-damage

      Public
      flex-damage is a toolkit designed for calculating and analyzing flexible damage functions.
      Python
      •0•1•1•0•Updated May 2, 2026May 2, 2026

    • gdnat

      Public
      Houses the GDNat dataset pipeline and figures. This includes a detailed overview of the quantile delta methodology used to create the GDNat data and a script th…
      pythonclimatecmip6
      pythonclimatecmip6era5damipgdnat
      Jupyter Notebook
      •
      Apache License 2.0
      •0•3•0•2•Updated Apr 21, 2026Apr 21, 2026

    • data-impact-region-shapefile

      Public
      Shapefile for Climate Impact Lab "impact regions"
      Creative Commons Attribution 4.0 International
      •0•0•0•0•Updated Mar 31, 2026Mar 31, 2026

    • data-adaptation-report-mortality

      Public
      Data underlying the Climate Impact Lab Adaptation Roadmap Report, March 2026 Human Health: Measuring the impact of rising temperatures on mortality to target ad…
      Creative Commons Attribution 4.0 International
      •0•0•0•0•Updated Mar 31, 2026Mar 31, 2026

    • dscim-facts-epa

      Public
      Configuration and setup for EPA DSCIM runs with option for exogenous GMST, with integration of GMSL from FACTS (Framework for Assessing Changes To Sea-level)
      Python
      •
      MIT License
      •3•3•0•0•Updated Mar 31, 2026Mar 31, 2026

    • pyCIAM

      Public
      A Python port, including numerous model updates, of the Coastal Impacts and Adaptation Model
      Jupyter Notebook
      •
      MIT License
      •1•15•0•0•Updated Feb 11, 2026Feb 11, 2026

    • sliiders

      Public
      Source code to create the SLIIDERS dataset
      Jupyter Notebook
      •
      MIT License
      •2•8•0•1•Updated Feb 9, 2026Feb 9, 2026

    • clawpack

      Public
      Package for solving hyperbolic systems of partial differential equations
      Python
      •
      BSD 3-Clause "New" or "Revised" License
      •106•0•0•0•Updated Jun 13, 2025Jun 13, 2025

    • geoclaw

      Public
      Version of Clawpack for geophysical waves and flows
      Fortran
      •
      BSD 3-Clause "New" or "Revised" License
      •97•0•0•2•Updated Jun 13, 2025Jun 13, 2025

    • downscaleCMIP6

      Public
      Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
      climate-datacmip6downscale
      climate-datacmip6downscaledownscalingclimate-impactsgdpcir
      Jupyter Notebook
      •
      MIT License
      •36•153•5•0•Updated May 28, 2025May 28, 2025

    • dscim-testing

      Public
      Jupyter Notebook
      •1•0•0•0•Updated May 28, 2025May 28, 2025

    • MimiGIVE.jl

      Public
      CIL implementation of MimiGIVE
      Julia
      •
      MIT License
      •13•0•0•1•Updated Jan 8, 2025Jan 8, 2025

    • climate_toolbox

      Public
      Aggregate gridded climate data to impactlab regions using prepared spatial weights
      Python
      •
      MIT License
      •3•5•10•7•Updated May 1, 2024May 1, 2024

    • dscim-epa

      Public
      Configuration and setup for the 2022 EPA DSCIM runs
      Jupyter Notebook
      •
      MIT License
      •0•2•3•0•Updated Oct 24, 2023Oct 24, 2023

    • carleton_mortality_2022

      Public
      Supporting material for “ Valuing the Global Mortality Consequences of Climate Change Accounting for Adaptation Costs and Benefits” (Carleton et al. 2022)
      supportresearchpaper
      supportresearchpapermortalityclimate-changesupplemental
      Jupyter Notebook
      •
      Other
      •11•21•2•0•Updated Aug 3, 2023Aug 3, 2023

    • coredot

      Public
      Smart dot-product optimizer
      C++
      •0•0•0•0•Updated Jul 28, 2023Jul 28, 2023

    • energy-code-release-2020

      Public
      Supplemental material for "Estimating a Social Cost of Carbon for Global Energy Consumption" (Rode et al., 2021) https://doi.org/10.1038/s41586-021-03883-8.
      supportrenergy
      supportrenergyresearchsccstataclimate-changesupplemental
      Jupyter Notebook
      •
      Other
      •9•10•5•2•Updated Jul 6, 2023Jul 6, 2023

    • FAIR

      Public
      Finite Amplitude Impulse-Response simple climate-carbon-cycle model
      Jupyter Notebook
      •
      Apache License 2.0
      •93•0•0•0•Updated Apr 17, 2023Apr 17, 2023
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