Articles | Volume 4, issue 2
https://doi.org/10.5194/wcd-4-449-2023
https://doi.org/10.5194/wcd-4-449-2023
Research article
 | 
15 May 2023
Research article |  | 15 May 2023

Model-simulated hydroclimate in the East Asian summer monsoon region during past and future climate: a pilot study with a moisture source perspective

Astrid Fremme, Paul J. Hezel, Øyvind Seland, and Harald Sodemann

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Cited articles

Abe-Ouchi, A., Saito, F., Kageyama, M., Braconnot, P., Harrison, S. P., Lambeck, K., Otto-Bliesner, B. L., Peltier, W. R., Tarasov, L., Peterschmitt, J.-Y., and Takahashi, K.: Ice-sheet configuration in the CMIP5/PMIP3 Last Glacial Maximum experiments, Geosci. Model Dev., 8, 3621–3637, https://doi.org/10.5194/gmd-8-3621-2015, 2015.  a
Annan, J. D. and Hargreaves, J. C.: A new global reconstruction of temperature changes at the Last Glacial Maximum, Clim. Past, 9, 367–376, https://doi.org/10.5194/cp-9-367-2013, 2013. a, b
Ashfaq, M., Rastogi, D., Mei, R., Touma, D., and Ruby Leung, L.: Sources of errors in the simulation of south Asian summer monsoon in the CMIP5 GCMs, Clim. Dynam., 49, 193–223, https://doi.org/10.1007/s00382-016-3337-7, 2017. a
Baker, A., Sodemann, H., Baldini, J., Breitenbach, S., Johnson, K., van Hunen, J., and Zhang, P.: Seasonality of westerly moisture transport in the East Asian summer monsoon and its implications for interpreting precipitation δ18O, J. Geophys. Res.-Atmos., 120, 5850–5862, https://doi.org/10.1002/2014JD022919, 2015. a
Bentsen, M., Bethke, I., Debernard, J. B., Iversen, T., Kirkevåg, A., Seland, Ø., Drange, H., Roelandt, C., Seierstad, I. A., Hoose, C., and Kristjánsson, J. E.: The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate, Geosci. Model Dev., 6, 687–720, https://doi.org/10.5194/gmd-6-687-2013, 2013. a
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Short summary
We study the atmospheric moisture transport into eastern China for past, present, and future climate. Hence, we use different climate and weather prediction model data with a moisture source identification method. We find that while the moisture to first order originates mostly from similar regions, smaller changes consistently point to differences in the recycling of precipitation over land between different climates. Some differences are larger between models than between different climates.