Data and code from: Long-term climate impacts of large stratospheric water vapor perturbations

The amount of water vapor injected into the stratosphere after the eruption of Hunga Tonga-Hunga Ha’apai (HTHH) was unprecedented, and it is therefore unclear what it might mean for surface climate. We use chemistry climate model simulations to assess the long-term surface impacts of stratospheric water vapor (SWV) anomalies similar to those caused by HTHH, but neglect the relatively minor aerosol loading from the eruption. The simulations show that the SWV anomalies lead to strong and persistent warming of Northern Hemisphere landmasses in boreal winter, and austral winter cooling over Australia, years after eruption, demonstrating that large SWV forcing can have surface impacts on a decadal timescale. We also emphasize that the surface response to SWV anomalies is more complex than simple warming due to greenhouse forcing and is influenced by factors such as regional circulation patterns and cloud feedbacks. Further research is needed to fully understand the multi-year effects of SWV ..., This data contains selected variables from WACCM and MiMA simulations related to the associated article.
The relevant figures from associated paper can be reproduced using the code at https://https://zenodo.org/doi/10.5281/zenodo.11471857.
In addition to the code, the data from WACCM and MiMA will also be needed., , # Long-term climate impacts of large stratospheric water vapor perturbations

[https://doi.org/10.5061/dryad.0zpc8675t](https://doi.org/10.5061/dryad.0zpc8675t)

This data is used for published article [Jucker et al. Journal of Climate (2024)](https://doi.org/10.1175/jcli-d-23-0437.1).

## Description of the data and file structure

This collection contains observational data, all necessary code, plus `hungatonga.yml` which contains information about the conda environment which allows running of all code. The code is also stored on GitHub and Zenodo, and additional links are given below.

The dataset is large, and therefore split into two further dryad repositories, also given below. In order to run the code, all data needs to be in the working directory. Then, `plot_paper_figures_published.sh` (contained within `hungatonga-v1.0.zip`) will produce all figures from the paper. Note that there is much more data than what is plotted in the figures, but users are expected to use netCDF metad...