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Title: LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soilmoisture Model Intercomparison Project – aims, setup and expected outcome

Journal Article · · Geoscientific Model Development (Online)
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  1. Royal Netherlands Meteorological Institute (KNMI), De Bilt (Netherlands)
  2. Univ. of Tokyo (Japan)
  3. Centre National de la Recherche Scientifique (CNRS), Grenoble (France)
  4. ETH Zurich (Switzerland)
  5. Environment and Climate Change, Toronto ON (Canada)
  6. National Center for Meteorological Research, Toulous (France)
  7. Sorbonne Univ., Paris (France)
  8. Univ. Pierre et Marie Curie, Paris (France)
  9. French Alternative Energies and Atomic Energy Commission (CEA-Saclay), Gif-sur-Yvette (France)
  10. Columbia Univ., New York, NY (United States). NASA Goddard Inst. for Space Studies and Center for Climate Systems Research
  11. International Inst. for Applied Systems Analysis, Laxenburg (Austria)
  12. China Meterological Administration, Beijing (China)
  13. Chinese Academy of Sciences (CAS), Beijing (China)
  14. National Agency for New Technologies, Rome (Italy)
  15. National Center for Atmospheric Research, Boulder, CO (United States)
  16. Joint Centre for Hydro-Meteorological Research (JCHMR), Oxfordshire (United Kingdom)
  17. Centre for Ecology and Hydrology, Oxfordshire (United Kingdom)
  18. Max Planck Inst. for Meteorology, Hamburg (Germany)
  19. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  20. Univ. of Michigan, Ann Arbor, MI (United States)
  21. Euro-Mediterranean Center for Climate Change (CMCC), Bologna (Italy)
  22. Commonwealth Scientific and Industrial Research Organization (CSIRO) Oceans and Atmosphere, Aspendale VIC (Australia)
  23. Univ. of Southampton (United Kingdom); Sorbonne Univ., Paris (France)
+ Show Author Affiliations

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). Furthermore, 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. But, 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).

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1376656
Journal Information:
Geoscientific Model Development (Online), Vol. 9, Issue 8; ISSN 1991-9603
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 124 works
Citation information provided by
Web of Science

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Cited By (37)

A First Look at Decadal Hydrological Predictability by Land Surface Ensemble Simulations journal March 2018
Greenland Ice Sheet Surface Mass Loss: Recent Developments in Observation and Modeling journal November 2017
The Sensitivity of North American Terrestrial Carbon Fluxes to Spatial and Temporal Variation in Soil Moisture: An Analysis Using Radar‐Derived Estimates of Root‐Zone Soil Moisture journal November 2019
Global Investigation of Soil Moisture and Latent Heat Flux Coupling Strength journal October 2018
State-of-the-art global models underestimate impacts from climate extremes journal March 2019
Shifting from a fertilization-dominated to a warming-dominated period journal September 2017
Satellite-based soil moisture provides missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States journal February 2019
Attribution of seasonal leaf area index trends in the northern latitudes with “optimally” integrated ecosystem models journal May 2017
Varying soil moisture–atmosphere feedbacks explain divergent temperature extremes and precipitation projections in central Europe journal January 2018
GRUN: an observation-based global gridded runoff dataset from 1902 to 2014 journal January 2019
Meteorological and evaluation datasets for snow modelling at 10 reference sites: description of in situ and bias-corrected reanalysis data journal January 2019
The PMIP4 contribution to CMIP6 – Part 4: Scientific objectives and experimental design of the PMIP4-CMIP6 Last Glacial Maximum experiments and PMIP4 sensitivity experiments journal January 2017
The CMIP6 Data Request (DREQ, version 01.00.31) journal January 2020
JULES-GL7: the Global Land configuration of the Joint UK Land Environment Simulator version 7.0 and 7.2 journal January 2020
The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design journal January 2016
Understanding terrestrial water storage variations in northern latitudes across scales journal January 2018
Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data journal January 2018
Canadian snow and sea ice: assessment of snow, sea ice, and related climate processes in Canada's Earth system model and climate-prediction system journal January 2018
The European mountain cryosphere: a review of its current state, trends, and future challenges journal January 2018
Large carbon cycle sensitivities to climate across a permafrost thaw gradient in subarctic Sweden journal January 2019
State-of-the-art global models underestimate impacts from climate extremes. journalarticle January 2019
Varying soil moisture-atmosphere feedbacks explain divergent temperature extremes and precipitation projections in central Europe text January 2018
GRUN: an observation-based global gridded runoff dataset from 1902 to 2014 text January 2019
Contributions of climate change and groundwater extraction to soil moisture trends journal January 2019
ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks text January 2018
The PMIP4 contribution to CMIP6 – Part 1: Overview and over-arching analysis plan text January 2018
Evaluation of Freshwater Flow From Rivers to the Sea in CMIP5 Simulations: Insights From the Congo River Basin journal September 2018
The PMIP4 contribution to CMIP6 – Part 1: Overview and over-arching analysis plan journal January 2018
Understanding terrestrial water storage variations in northern latitudes across scales posted_content November 2017
The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: Rationale and experimental design text January 2016
Development of Land Surface Model BCC_AVIM2.0 and Its Preliminary Performance in LS3MIP/CMIP6 journal October 2019
The Influence of Environmental Change (Crops and Water) on Population Redistribution in Mexico and Ethiopia journal November 2019
State-of-the-art global models underestimate impacts from climate extremes text January 2019
Contributions of climate change and groundwater extraction to soil moisture trends posted_content June 2019
ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks journal January 2018
Understanding, modeling and predicting weather and climate extremes: Challenges and opportunities journal December 2017
Snow cover duration trends observed at sites and predicted by multiple models journal December 2020

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58 GEOSCIENCES