The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome
Open accessAbstract
Abstract. 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).
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Cites
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Investigating soil moisture–climate interactions in a changing climate: A review
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Self-citationThe Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
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“A set of future land-only time slice simulations (2015–2100) will be generated via forcing data obtained from at least 2 future climate scenarios from the ScenarioMIP (O’Neill et al., 2016) and will be executed at a later stage during CMIP6.”
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The Twentieth Century Reanalysis Project
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Global warming and changes in drought
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Self-citationRegions of Strong Coupling Between Soil Moisture and Precipitation
Koster, R. D., Dirmeyer, P. A., Guo, Z., Bonan, G., Chan, E., Cox, P., Gordon, C. T., Kanae, S., Kowalczyk, E., Lawrence, D., et al. (2004) · Science · doi:10.1126/science.1100217 · Cited by 2,872
Self-citationSatellite-based estimates of groundwater depletion in India
Rodell, M., Velicogna, I., & Famiglietti, J. S. (2009) · Nature · doi:10.1038/nature08238 · Cited by 2,870
Recent decline in the global land evapotranspiration trend due to limited moisture supply
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Self-citationTrends in the sources and sinks of carbon dioxide
Le Quéré, C., Raupach, M. R., Canadell, J. G., Marland, G., Bopp, L., Ciais, P., Conway, T. J., Doney, S. C., Feely, R. A., Foster, P., et al. (2009) · Nature Geoscience · doi:10.1038/ngeo689 · Cited by 2,096
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Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., et al. (2021) · Earth System Science Data · doi:10.5194/essd-13-4349-2021 · Cited by 5,540
The European mountain cryosphere: a review of its current state, trends, and future challenges
Beniston, M., Farinotti, D., Stoffel, M., Andreassen, L. M., Coppola, E., Eckert, N., Fantini, A., Giacona, F., Hauck, C., Huss, M., et al. (2018) · The Cryosphere · doi:10.5194/tc-12-759-2018 · Cited by 734
Jones, C. D., Arora, V., Friedlingstein, P., Bopp, L., Brovkin, V., Dunne, J., Graven, H., Hoffman, F., Ilyina, T., John, J. G., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-2853-2016 · Cited by 365
The PMIP4 contribution to CMIP6 – Part 1: Overview and over-arching analysis plan
Kageyama, M., Braconnot, P., Harrison, S. P., Haywood, A. M., Jungclaus, J. H., Otto-Bliesner, B. L., Peterschmitt, J.-Y., Abe-Ouchi, A., Albani, S., Bartlein, P. J., et al. (2018) · Geoscientific Model Development · doi:10.5194/gmd-11-1033-2018 · Cited by 361
State-of-the-art global models underestimate impacts from climate extremes
Schewe, J., Gosling, S. N., Reyer, C., Zhao, F., Ciais, P., Elliott, J., Francois, L., Huber, V., Lotze, H. K., Seneviratne, S. I., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08745-6 · Cited by 308
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Metadata
- Authors
- 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, R., Hagemann, S., Mao, J., Flanner, M. G., Zampieri, M., Materia, S., Law, R. M., & Sheffield, J.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2016-08-24
- Volume
- 9
- Issue
- 8
- Pages
- 2809-2832
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2518542445
- Cited by
- 284
- References
- 89
- FWCI
- 13.15
- Type
- journal article
- Language
- en
- Open access
- gold
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- 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, R., . . . Sheffield, J. (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. https://doi.org/10.5194/gmd-9-2809-2016
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
