1. L arge-scale U ncoupled A ction U pdate Paul Dirmeyer Taikan Oki Paul Dirmeyer Taikan Oki

2. L arge-scale U ncoupled A ction U pdate Paul Dirmeyer Taikan Oki Paul Dirmeyer Taikan Oki

3. GLASS Framework

4. GRP GHP GMP P

5. US-GEWEX Project Office (Water Cycle Office) SSG US-GEWEX Project Office (Water Cycle Office) SSG US

6. nd Global Soil Wetness Project www.iges.org/gsw p/ www.iges.org/gsw p/ gswp@cola.iges.o rg www.iges.org/gsw p/ www.iges.org/gsw p/ gswp@cola.iges.o rg Multi-model investigations into variability and predictability of the global surface water and energy cycles This phase of the project will take advantage of: The10-year ISLSCP Initiative 2 data set The ALMA data standards developed in GLASS The infrastructure developed in the pilot phase of GSWP GSWP-2 represents an evolution in multi-model large-scale land-surface modeling with the following features: The ten year length of the ISLSCP Initiative 2 allows for a better investigation of interannual land surface climate variability. The ISLSCP Initiative 2 data set will contain more than one rendition of many global fields, produced by different methods and scientists. This gives us a straightforward means to investigate LSS sensitivity to the choice of forcing data sets. Application and further development of the methods of calibration and validation of LSSs with in situ and remote sensing data.

7. GSWP-2 data sets GSWP-2 data sets for parameter specification, meteorological forcing, and validation have been produced. The data sets are based on the ISLSCP-Initiative II data, but many of the fields represent additional processing, such as the production of “hybrid” data sets combining gridded observations (low temporal resolution) with model reanalysis (high time resolution). This hybridization removes systematic errors in the reanalysis data, providing a superior set of forcing data for the land surface models.

8. Results will be made available to participants as data sets accessible from one or more GrADS/DODS servers (GDS). Using the ALMA data exchange standards, and DODS subsetting capabilities, individual LSSs will be able to run globally each time step, each grid point from start to finish, or in any other sequence of integration. Additionally, standard and customizable browse images will be made available to the public via the web. GSWP Information System ALMA:www.lmd.jussieu.fr/ALMA/www.lmd.jussieu.fr/ALMA/ DODS:www.unidata.ucar.edu/packages/dods/www.unidata.ucar.edu/packages/dods/ GDS: grads.iges.org/grads/gds/grads.iges.org/grads/gds/ LIS: lis.gsfc.nasa.gov/lis.gsfc.nasa.gov/ ALMA:www.lmd.jussieu.fr/ALMA/www.lmd.jussieu.fr/ALMA/ DODS:www.unidata.ucar.edu/packages/dods/www.unidata.ucar.edu/packages/dods/ GDS: grads.iges.org/grads/gds/grads.iges.org/grads/gds/ LIS: lis.gsfc.nasa.gov/lis.gsfc.nasa.gov/

9. Data servers The data sets have been posted online for community access. There are three DODS servers for accessing the data directly over the internet: North America: http://www.monsoondata.org:9090/dods/ Europe: http://dods.ipsl.jussieu.fr/ Asia: http://ftp.tkl.iis.u-tokyo.ac.jp:9090/dods/ The North American and Asian servers are GDS. There is also FTP access to the individual files at: ftp://monsoondata.org/ (password required) and direct HTTP access to files at: http://dods.ipsl.jussieu.fr/

10. The DODS (now called OpenDAP) framework allows clients such as model codes, visualization software, or other programs to access large and varied data sets from servers on the internet, just as if they were accessing files on local computer disks (http://www.unidata.ucar.edu/packages/dods/, http://opendap.org/). To use this new technology, some additional software must be installed on the client’s home system (usually DODS-enabled libraries for existing software or compilers). An FAQ page has been set up to help GSWP participants with these and other issues at: http://www.iges.org/gswp/faq.html. DODS Access

11. ICC Optical or Internet Submission Status (Taikan?)

12. IIS-UT DB System 500TB HDS Receiving AVHRR, VISSR and MODIS GSWP DC Will be used for CEOP DC JMA GPV

13. AMS 2004 There will be a GSWP-2 session at the AMS 18th Conference on Hydrology, AMS Annual Meeting (Seattle, Washington, USA, 11-15 January 2004) to present preliminary results of the experiment. 12 Abstracts submitted to GSWP-2 session. Scheduling now underway.

14. GRP/GMPP exchange via GSWP-2 Plans are being made for a collaborative effort between GRP and GMPP. Bill Rossow has been communicating with Paul Dirmeyer and Jan Polcher about using GSWP estimates of surface (latent and sensible) heat fluxes over land for helping to close the global surface energy budget. GSWP will also pursue sensitivity studies using ISCCP estimates of surface radiation for model forcing, compared to SRB and reanalysis estimates, to understand how uncertainty in our estimates of radiation propagate into the terrestrial hydrologic cycle.

15. Validation issues in GSWP-2 Preliminary work at COLA Assessment of in situ data Assessing existing global data sets Remote sensing efforts

16. “SCAN’t” Very few operational stations during 1994-95 Data unreliable before ~1997

17. Soil Wetness Very few and scattered soil wetness measurements. Some of the best long-term networks have decayed in last decade. Still gaps. In situ measurement s Global Soil Moisture Data Bank

18. Comparison of existing global data sets Long-term model-derived and remote sensing products: Product Summary Willmott & Matsuuma Huang & van den Dool Dirmeyer and Tan Kanamitsu et al. Basist et al.Wagner et al. W&MCPCGOLDR2SSM/IERS LSS / Sensor Modified Bucket Uncoupled “Leaky” Bucket Uncoupled SSiB Uncoupled Pan & Mahrt Coupled SSM/I ERS Scaterometer Horizontal resolution 0.5° 1.875°1.875°x1.915°0.3º28km Surface soil moisture capacity N/A 20-23mm43mm Surface water index ~10mm Column available soil moisture 150mm760mm 322-1125mm (varies spatially) 857mmN/A Meteorological Inputs Monthly precipitation and temperature Daily precipitation and temperature 6-hourly precipitation, radiation, temperature, winds, humidity coupled to GCM integrated in data assimilation mode 1992-1988- *1979-19991979-1948- * No data 6/1990-12/1991 1950-1999

23. Surface soil wetness ERS product much better than SSM/I (which is really a surface water product, even though it is called a soil wetness index). R2 performs poorly for sfc SW as well. Data for China and Mongolia do not overlap the ERS period (1992-).

24. Top 1m soil wetness R2 is clearly inferior. Other products have strong/weak regions

26. Performance of various products For anomalies, CPC product appears best for column soil wetness, GOLD (GSWP-style) is 2 nd. GOLD is better on total signal (better phasing of annual cycle). ERS is very good, but only available for surface, and record is shortest of all products. 1m Sfc

29. Finally 15 September deadline for baseline runs will probably slip to October. Start on QC, comparison, and test cases this Fall. Public presentation of preliminary results at AMS (Seattle, Jan 2004).