Duncan Watson-ParrisNov 8, 2022
A key aspect with this approach is that we’re also able to take into account the spatial distribution of aerosol emissions, which can make a crucial difference c.f. https://www.nature.com/articles/s41558-022-01415-4
Strong control of effective radiative forcing by the spatial pattern of absorbing aerosol - Nature Climate Change

Changes in the spatial pattern of aerosol could influence climate through effects on radiative forcing. Model experiments show that while aerosol absorption in the midlatitudes and regions of tropical descent can warm the planet, aerosol absorption in regions of tropical ascent can cool the planet.

Nature
Show threadDuncan Watson-ParrisNov 8, 2022
But, are the results physically robust? This is the $1m question, and while the preliminary results showing global conservation of energy are encouraging, there’s certainly room for improvement (watch this space!).
Show threadDuncan Watson-Parris
Given the importance of these tools for underpinning the sorts of negotiations happening right now in #COP27, we also touch on the trustworthiness of these approaches in the paper (Section 5.2). I would love to hear other peoples thoughts on this.
Nov 8, 2022 at 3:13pmWeb
Show threadDuncan Watson-ParrisNov 8, 2022

All the models and training data are publically available and we very much encourage you to download it and give it a go! Feel free to reach out with ideas / suggestions for future work :-)

Data: https://zenodo.org/record/7064308#.Y2pyRy-l3jg
Code: https://github.com/duncanwp/ClimateBench

ClimateBench

ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consists of NorESM2 simulation outputs with asociated forcing data processed in to a consistent format from a variety of experiments performed for CMIP6. Multiple ensemble members are included where available. Data processing scripts and a baseline model example can be found here. Version history 0.1 - Initial release (not including ssp245 data held back for hackathon) 0.2 - Updated release to fix cumulative CO2 concentrations which were calculated incorrectly for future scenarios. 0.3 - Added test data and included a minor fix to hist-aer input data which had misaligned aerosol and GHG data. 0.4 - Fixed an error in the diurnal temperature range due to missing values in some NorESM2 piControl daily temperature data on ESGF. 1.0 - Release version to coincide with accepted version of manuscript. Now includes associated CMIP6 files

Zenodo