1. JULES: Joint UK Land Environment Simulator A community land surface scheme

2. MOSES + TRIFFID Radiation Rainfall Snow Evaporation and CO2 exchange from bare soil, trees, grass, snow etc Darcian flow of soil moisture Deep drainage Roots extract soil moisture for transpiration Surface runoff Unified into MOSESII In 2002

3. Relationship between JULES and MOSES Met Office Unified Model MOSESII JULES v1 IMOGEN CRU GSWP2 Tower fluxes

4. Modular Soil/root model Crop model surface flux model Hydrology model DGVM

5. Ocean and sea ice JULES modular structure Unified Model IMOGENOther driving data soil Canopy conductance phenology Dynamic vegetation radiation snow hydrology Surface exchange

6. Test Data: International Experiments ABRACOS/LBA rainforest and grassland BOREAS boreal forest and snow FIFE grassland HAPEX-SAHEL savannah HAPEX-MOBHILY agriculture and forest LAPP Tundra GAME tundra and forest MAGS,northern rivers SiberiaII FLUXNET/ Carbon-Europe

7. Improved Processes Phenology Radiation transfer through the canopy Soils – soil freezing, peaty soils DVGM Heterogeneity – topography / hydrology Snow

8. Improving processes in JULES 10-layer improved ‘Light mod’ Far more realistic Big leaf – unrealistic representation Importance of canopy structure and leaf angle inclination

9. New Processes Nitrogen, Phosphorus, Ozone, Isotopes Wetlands and methane production Elevation tiles More hydrology: irrigation, crop models, Groundwater

10. Distributed e.g. GLDAS soil porosity Distributed ancillary files (soil, land cover etc) now available globally

11. HIECroP - historic crop water use and carbon production Nimrod – real time hydrology Rainfall Soil Moisture Surface Runoff Distributed applications

12. Calibration Methods New methods needed to deal with: Multiple data sets Different levels of certainty of data Time series at a point verses Snap-shots of spatial data Integrated data (e.g. river flow, areal evaporation) Uncertainty of parameters – Monte Carlo simulations

13. example: predicted map of wetlands over N Europe Linking JULES with observations Land Surface Modelling Distributed Applications Land cover types calibrated Global or local Verification Field Observations Evaporation CO 2 flux Soil moisture verification MODIS snow cover

14. Tools for climate research (IMOGEN) Base Climate Anomaly Patterns  Atmospheric Greenhouse Gas Concentrations JULES Land Surface Scheme scale factor  Meteorological forcing variables Fluxes: CO2, CH4 Anthropogenic emissions

15. Web access DESCRIPTION OF THE CODE JULES JULES is the Joint UK Land Environment Simulator. It is based on MOSES (Met Office Surface Exchange System), the land surface model used in the Unified Model of the UK Met Office. MOSES was originally designed to use to represent the land surface in Meteorological and Climate models, but is increasingly used for other purposes: predicting river flows, identifying global wetlands, quantifying water resources. It was therefore decided to officially release the model from its original role in two ways. Firstly, the model should become a community model and secondly, the model should be used and developed independently of the meteorological and climate model. The CODE is available for any researcher, free of charge. A license can be downloaded from this website (see DOWNLOAD THE LICENSE).DOWNLOAD THE LICENSE The development of the code is ongoing. The latest version is described in DESCRIPTION OF THE CODE and the next release versions, with dates, are outlined in MANAGEMENT OF JULES.DESCRIPTION OF THE CODEMANAGEMENT OF JULES For further information, please contact JULES@JCHMR.ORG.UKJULES@JCHMR.ORG.UK DOWNLOAD THE LICENSE Science in JULES Results Version 1 of the code is available to researchers. From end of October, access will be via a web-site.