LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome
The Land Surface, Snow and Soil Moisture Model Intercomparison Project (LS3MIP) is designed to provide a comprehensive assessment of land surface, snow and soil moisture feedbacks on climate variability and climate change, and to diagnose systematic biases in the land modules of current Earth system...
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Online Access: | https://pure.iiasa.ac.at/id/eprint/13812/ https://pure.iiasa.ac.at/id/eprint/13812/1/gmd-9-2809-2016.pdf https://doi.org/10.5194/gmd-9-2809-2016 |
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ftiiasalaxenburg:oai:pure.iiasa.ac.at:13812 2023-05-15T15:09:08+02:00 LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome van den Hurk, B. Kim, H. Krinner, G. Seneviratne, S.I. Derksen, C. Oki, T. Douville, H. Colin, J. Ducharne, A. Cheruy, F. Viovy, N. Puma, M.J. Wada, Y. Li, W. Jia, B. Alessandri, A. Lawrence, D.M. Weedon, G.P. Ellis, Richard Hagemann, S. Mao, J. Flanner, M.G. Zampieri, M. Materia, S. Law, R.M. Sheffield, J. 2016 text https://pure.iiasa.ac.at/id/eprint/13812/ https://pure.iiasa.ac.at/id/eprint/13812/1/gmd-9-2809-2016.pdf https://doi.org/10.5194/gmd-9-2809-2016 en eng https://pure.iiasa.ac.at/id/eprint/13812/1/gmd-9-2809-2016.pdf van den Hurk, B., Kim, H., Krinner, G., Seneviratne, S.I., Derksen, C., Oki, T., Douville, H., Colin, J., et al. (2016). LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome. Geoscientific Model Development 9 (8) 2809-2832. 10.5194/gmd-9-2809-2016 <https://doi.org/10.5194/gmd-9-2809-2016>. doi:10.5194/gmd-9-2809-2016 cc_by Article PeerReviewed 2016 ftiiasalaxenburg https://doi.org/10.5194/gmd-9-2809-2016 2023-04-07T14:52:10Z The Land Surface, Snow and Soil Moisture Model Intercomparison Project (LS3MIP) is designed to provide a comprehensive assessment of land surface, snow and soil moisture feedbacks on climate variability and climate change, and to diagnose systematic biases in the land modules of current Earth system models (ESMs). The solid and liquid water stored at the land surface has a large influence on the regional climate, its variability and predictability, including effects on the energy, water and carbon cycles. Notably, snow and soil moisture affect surface radiation and flux partitioning properties, moisture storage and land surface memory. They both strongly affect atmospheric conditions, in particular surface air temperature and precipitation, but also large-scale circulation patterns. However, models show divergent responses and representations of these feedbacks as well as systematic biases in the underlying processes. LS3MIP will provide the means to quantify the associated uncertainties and better constrain climate change projections, which is of particular interest for highly vulnerable regions (densely populated areas, agricultural regions, the Arctic, semi-arid and other sensitive terrestrial ecosystems). The experiments are subdivided in two components, the first addressing systematic land biases in offline mode (“LMIP”, building upon the 3rd phase of Global Soil Wetness Project; GSWP3) and the second addressing land feedbacks attributed to soil moisture and snow in an integrated framework (“LFMIP”, building upon the GLACE-CMIP blueprint). Article in Journal/Newspaper Arctic Climate change IIASA PURE (International Institute of Applied Systems Analysis: PUblications REpository) Arctic Geoscientific Model Development 9 8 2809 2832 |
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IIASA PURE (International Institute of Applied Systems Analysis: PUblications REpository) |
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ftiiasalaxenburg |
language |
English |
description |
The Land Surface, Snow and Soil Moisture Model Intercomparison Project (LS3MIP) is designed to provide a comprehensive assessment of land surface, snow and soil moisture feedbacks on climate variability and climate change, and to diagnose systematic biases in the land modules of current Earth system models (ESMs). The solid and liquid water stored at the land surface has a large influence on the regional climate, its variability and predictability, including effects on the energy, water and carbon cycles. Notably, snow and soil moisture affect surface radiation and flux partitioning properties, moisture storage and land surface memory. They both strongly affect atmospheric conditions, in particular surface air temperature and precipitation, but also large-scale circulation patterns. However, models show divergent responses and representations of these feedbacks as well as systematic biases in the underlying processes. LS3MIP will provide the means to quantify the associated uncertainties and better constrain climate change projections, which is of particular interest for highly vulnerable regions (densely populated areas, agricultural regions, the Arctic, semi-arid and other sensitive terrestrial ecosystems). The experiments are subdivided in two components, the first addressing systematic land biases in offline mode (“LMIP”, building upon the 3rd phase of Global Soil Wetness Project; GSWP3) and the second addressing land feedbacks attributed to soil moisture and snow in an integrated framework (“LFMIP”, building upon the GLACE-CMIP blueprint). |
format |
Article in Journal/Newspaper |
author |
van den Hurk, B. Kim, H. Krinner, G. Seneviratne, S.I. Derksen, C. Oki, T. Douville, H. Colin, J. Ducharne, A. Cheruy, F. Viovy, N. Puma, M.J. Wada, Y. Li, W. Jia, B. Alessandri, A. Lawrence, D.M. Weedon, G.P. Ellis, Richard Hagemann, S. Mao, J. Flanner, M.G. Zampieri, M. Materia, S. Law, R.M. Sheffield, J. |
spellingShingle |
van den Hurk, B. Kim, H. Krinner, G. Seneviratne, S.I. Derksen, C. Oki, T. Douville, H. Colin, J. Ducharne, A. Cheruy, F. Viovy, N. Puma, M.J. Wada, Y. Li, W. Jia, B. Alessandri, A. Lawrence, D.M. Weedon, G.P. Ellis, Richard Hagemann, S. Mao, J. Flanner, M.G. Zampieri, M. Materia, S. Law, R.M. Sheffield, J. LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome |
author_facet |
van den Hurk, B. Kim, H. Krinner, G. Seneviratne, S.I. Derksen, C. Oki, T. Douville, H. Colin, J. Ducharne, A. Cheruy, F. Viovy, N. Puma, M.J. Wada, Y. Li, W. Jia, B. Alessandri, A. Lawrence, D.M. Weedon, G.P. Ellis, Richard Hagemann, S. Mao, J. Flanner, M.G. Zampieri, M. Materia, S. Law, R.M. Sheffield, J. |
author_sort |
van den Hurk, B. |
title |
LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome |
title_short |
LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome |
title_full |
LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome |
title_fullStr |
LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome |
title_full_unstemmed |
LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome |
title_sort |
ls3mip (v1.0) contribution to cmip6: the land surface, snow and soil moisture model intercomparison project – aims, setup and expected outcome |
publishDate |
2016 |
url |
https://pure.iiasa.ac.at/id/eprint/13812/ https://pure.iiasa.ac.at/id/eprint/13812/1/gmd-9-2809-2016.pdf https://doi.org/10.5194/gmd-9-2809-2016 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_relation |
https://pure.iiasa.ac.at/id/eprint/13812/1/gmd-9-2809-2016.pdf van den Hurk, B., Kim, H., Krinner, G., Seneviratne, S.I., Derksen, C., Oki, T., Douville, H., Colin, J., et al. (2016). LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome. Geoscientific Model Development 9 (8) 2809-2832. 10.5194/gmd-9-2809-2016 <https://doi.org/10.5194/gmd-9-2809-2016>. doi:10.5194/gmd-9-2809-2016 |
op_rights |
cc_by |
op_doi |
https://doi.org/10.5194/gmd-9-2809-2016 |
container_title |
Geoscientific Model Development |
container_volume |
9 |
container_issue |
8 |
container_start_page |
2809 |
op_container_end_page |
2832 |
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