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| Global Soil Wetness Project | |
|---|---|
| Name | Global Soil Wetness Project |
| Acronym | GSWP |
| Established | 1990s |
| Focus | Soil moisture, land surface modelling, climate |
| Coordinating institution | Unknown |
| Participants | Multiple international modelling centres |
Global Soil Wetness Project The Global Soil Wetness Project was an international intercomparison initiative focused on simulating soil moisture and land–atmosphere interactions using offline land surface models to improve climate, hydrology, and weather prediction. It brought together modelling groups from agencies and universities to standardize forcing datasets and evaluate terrestrial water and energy fluxes across global river basins, continental regions, and biomes. The project influenced subsequent experiments in land surface modelling, remote sensing validation, and coupled Earth system assessments.
The project convened researchers from institutions such as National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, European Centre for Medium-Range Weather Forecasts, Max Planck Society, National Center for Atmospheric Research, Centre National de la Recherche Scientifique, Commonwealth Scientific and Industrial Research Organisation, University of Tokyo, and University of Oxford to run land surface schemes using harmonized meteorological forcings. It linked to global programs including Global Energy and Water Exchanges, Global Climate Observing System, International Geosphere-Biosphere Programme, World Climate Research Programme, and Intergovernmental Panel on Climate Change. The effort overlapped with campaigns like FLUXNET, BALTEX, and GEWEX Continental-scale International Project.
GSWP aimed to quantify soil moisture variability, surface fluxes, and runoff across continental domains to inform modelling activities at European Space Agency, Japan Meteorological Agency, Meteorological Service of Canada, and regional research centers. Objectives included systematic evaluation against observations from networks such as Global Runoff Data Centre, GRACE (satellite), TRMM, Landsat, and AVHRR satellites, and process-level comparison to field experiments like Large-Scale Biosphere–Atmosphere Experiment in Amazonia, BOREAS, and American Monsoon Project. The scope encompassed seasonal to interannual timescales relevant to assessments by United Nations Environment Programme, World Meteorological Organization, and national climate services.
Participants used standardized meteorological forcing derived from reanalysis products including ERA-40, NCEP/NCAR Reanalysis, ECMWF ReAnalysis (ERA-Interim), and observational synthesis from Global Historical Climatology Network. Land surface models incorporated vegetation parameters from datasets like Global Land Cover Facility, soil maps from FAO, and river routing from the Hydrological Data and maps based on SHuttle Elevation Derivatives at multiple Scales. Model diagnostics focused on evapotranspiration, sensible heat, latent heat, snowpack, and soil moisture profiles, benchmarked against measurements from Soil Moisture Active Passive (SMAP), European Space Agency Climate Change Initiative, and regional flux towers such as those in AmeriFlux and AsiaFlux. Statistical methods included skill scores used by Intercomparison Project traditions and uncertainty analysis employing techniques from Monte Carlo ensembles and Bayesian frameworks familiar to National Academy of Sciences assessments.
The intercomparison featured land surface models and institutions including the Community Land Model team at National Center for Atmospheric Research, the Simple Biosphere Model developers at University of Washington, the Joint UK Land Environment Simulator group at Met Office, the Biosphere–Atmosphere Transfer Scheme team at University of Cambridge, and groups from Potsdam Institute for Climate Impact Research, Lawrence Berkeley National Laboratory, Chinese Academy of Sciences, Indian Institute of Tropical Meteorology, Federal Institute of Hydrology (Germany), and Institute of Atmospheric Physics (China). Other contributors included modeling centers from NOAA Geophysical Fluid Dynamics Laboratory, Institut Pierre-Simon Laplace, Swedish Meteorological and Hydrological Institute, Danish Meteorological Institute, and Korea Meteorological Administration.
Key findings identified systematic differences in simulated soil moisture and runoff across models tied to parameterizations of infiltration, vegetation rooting depth, and snow physics; discrepancies echoed concerns raised by panels like Intergovernmental Panel on Climate Change about land surface uncertainty. The project highlighted the value of harmonized forcings for diagnosing biases and helped refine model components later used in coupled experiments by Coupled Model Intercomparison Project teams contributing to IPCC Assessment Reports. Impacts included improved land surface schemes adopted by operational services such as ECMWF, Met Office, and Japan Meteorological Agency and enhanced observational requirements for missions by NASA, ESA, and JAXA.
The Global Soil Wetness Project seeded successor initiatives including the Global Land–Atmosphere System Study, successive phases of the Global Soil Wetness Project Phase 2 and regional intercomparisons feeding into CMIP cycles, and coordination with satellite missions like SMOS, SMAP, and Sentinel programs from European Commission. It influenced data assimilation efforts at centers such as European Centre for Medium-Range Weather Forecasts and the development of multi-model ensembles used by World Meteorological Organization task forces. Its legacy persists in ongoing collaborations among Universities and national agencies, contributing to improved drought monitoring, flood forecasting, and agricultural applications used by organizations like Food and Agriculture Organization.
Category:Hydrology Category:Climate modeling Category:Earth system science