Second Global Soil Wetness Project (GSWP-2)
Kickoff Workshop
30 Sep - 1 Oct 2002
Calverton, Maryland, USA
Paul Dirmeyer1, Taikan Oki2, and Xiang Gao1
The Center for Ocean-Land-Atmosphere Studies (COLA), with support from the NASA Programon Terrestrial Hydrology, recently hosted the kickoff workshop of the Second Global Soil Wetness
Project (GSWP-2). The project is the principal element of the large-scale uncoupled land surface
modeling action in the Global Land-Atmosphere System Study (GLASS; Polcher et al. 2000) anda major element of the International Satellite Land-Surface Climatology Project (ISLSCP), bothcontributing projects of GEWEX. The overarching goal of GSWP is to produce as a community
effort the best model estimates of the global land-surface water and energy cycles. This will entail
an evaluation of the uncertainties linked to the land surface schemes (LSSs), their parameters andthe forcing variables which drive them. The original pilot phase of GSWP covered the two-year
period of the ISLSCP initiative I data set (1987-1988), and proved the utility of model comparisonand sensitivity studies of the land surface at the global scale (Dirmeyer et al. 1999).
GSWP-2 will take advantage of the 10-year (1986-1995) ISLSCP Initiative II data set(http://islscp2.sesda.com/) and LSS simulations will be conducted at a spatial resolution of 1°, sansAntarctica. The project will also adhere to the ALMA data standards developed in GLASS.
GSWP-2 represents an evolution in multi-model large-scale land-surface modeling with thefollowing features:• The ten year length of the ISLSCP Initiative II data set will allow for a better investigation ofinterannual land surface climate variability.
• The ISLSCP Initiative II data set will contain more than one rendition of many global fields,
produced by different methods and scientists. This provides a straightforward means toinvestigate LSS sensitivity to the choice of forcing and boundary condition data.
• The longer period also allows for application and further development of the methods ofcalibration and evaluation of LSSs with in situ and remote sensing data.
The main goal of the kickoff workshop was to discuss details of the project planning with membersof the scientific community who would be participating in GSWP-2, address unresolved issues andcomplete the draft Science and Implementation Plan for the project. Specifically, the workshop
provided a forum to resolve uncertainties and requirements for input data to the various LSSs;
12Center for Ocean-Land-Atmosphere Studies, Calverton, Maryland, USA

Research Institute for Humanity and Nature, Kyoto, Japan; Institute of Industrial Science, Univ.
of Tokyo, Japanaddress more general modeling group issues; introduce the GSWP-2 Inter-Comparison Center(ICC), housed at the University of Tokyo, and the data submission process; solidify the new
remote sensing element of GSWP-2; outline the validation program; narrow options for model
sensitivity studies; and discuss other science that can leverage off of GSWP-2. The workshop alsoestablished participants and leadership for elements of the project, and demonstrated the dataserver and software tools that should make model participation and data access much easier thanfor past experiments.
The workshop began with presentations on efforts relevant to GSWP. These included a review ofthe GSWP pilot project and the new questions raised by that project, a synopsis of the GSWP
RhôneAGG LSS aggregation experiment (Boone et al. 2001), presentations on land modelingprojects and land data assimilation efforts at ECMWF, MétéoFrance, NCEP and NASA/GSFC,
exposition of the soil moisture component of GLOBE, and presentations on the ISLSCP Initiative
II data set and preliminary plans for ISLSCP Initiative III. Much of the rest of the workshop
concerned presentations and discussion of the various elements of GSWP-2. From the workshop it
appears that about 20 LSSs will likely participate in GSWP-2.
Execution of GSWP2 will follow in three streams — data, modeling and evaluation — given inFigure 1. COLA is processing the 3-hourly meteorological forcing and complete boundary
condition data for GSWP-2, including an extension of the data back in time to 1982. LSS
integrations will begin at July 1982, and loop through the first 12 months of forcing data until themodeler is satisfied that soil moisture has spun up and sufficiently equilibrated. A lesson from theGSWP pilot project was that this spin-up process overly amplifies the impact of climate anomalies
from that year on the land surface state variables. Therefore, the models will then proceed with
their integrations forward from June 1983 – December1985 so as to convergence to a realistic“land climate” at the start of the evaluation period. The ten-year baseline integration, which will
be evaluated within the group of GSWP participants and later released to the community at large,
covers the period from January 1986 – December1995. Daily global output will be reported fromall models during this period. In addition, for the last year (1995) there will be an “intensive model
output period” where model results will be reported at a 3-hour interval, but likely with a reduced
set of variables. These data will be especially useful for validation and remote sensing
applications. We may also specify a subset of points for full 10-year histories at 3-hour output.
The data server system will make such limited re-integrations simple for the models to perform.
A major product of GSWP-2 will be a multi-model land surface analysis for the 1986-1995 period.
This will be a land surface analog to the atmospheric reanalyses. There will be a climatologicalannual cycle data set, and a larger data set for the entire series. Compiling the results of multiple
LSSs to produce a single analysis will provide a model-independent result. Of particular value,
uncertainty estimates can be put on all of the fields, based on inter-model spread. Additional
uncertainties regarding forcing data can be quantified, based on the results of the sensitivity studies.
The act of constructing an ideal multi-model analysis is a research topic in itself, and much can belearned from the experience of multi-model ensembling in the atmospheric and oceanic modelingcommunities.
There will be three main modes of in situ validation of participating LSSs:

Field campaigns – The GSWP-2 period overlaps a number of relevant field campaigns,
including older GEWEX experiments, which can provide validation data. Comparison ofmeasured meteorological variables from these campaigns with the reanalysis-based
forcing data will also provide an evaluation of those products.
Observational networks and long-term monitoring – There are also long-termmonitoring networks of soil moisture, carbon, radiative and turbulent fluxes that canprovide local or regional validation for LSSs. These will be predominantly available forthe latter years of the period.
Streamflow – Runoff fluxes from all participating LSSs will be routed with common river
routing schemes to compare with streamflow measurements across a large portion of theglobe, as an assessment of the simulation of annual, seasonal, and interannual variations insurface hydrology. Similarly, large basin comparison of model water storage change withobserved atmospheric moisture flux convergence minus discharge may also uncoverproblems in the forcing data and models at basin scales.
It is recognized that discrepancies exist between the observed meteorology and land surfaceconditions at the validation sites, and the 1( gridded data that drive the models, and that thosedifferences can contribute to errors at least as much as the shortcomings in the various models.
Representativeness of gridded data at the plot scale can also be evaluated in these locations.
PILPS, in its Phase 2, has conducted and continues to craft local land surface modelingexperiments built around nearly-complete sets of forcing and validation data at a single location(Henderson-Sellers et al. 2002). It is not the intent of this in situ validation program to duplicatethat effort. Rather, using the global forcing data sets, local validation may be performed when andwhere such data are available.
One of the new thrusts for GSWP-2 is a stronger connection to applications in remote sensing. The
principal goal of the effort in remote sensing applications is to expand validation beyond those few
areas where in situ data on land surface state variables are readily available. In addition to theclassical attempts to validate the typical land-surface state variables using satellite retrievals,
GSWP-2 also intends to expand the capabilities of current LSSs. This is to be done by theapplication of algorithms by which LSSs can directly report brightness temperatures, like thosesensed by instruments in orbit. These may be applied as forward algorithms for infrared/skintemperature and microwave/soil wetness (and vegetation index for LSSs that predict vegetation
phenology).
Modeling sensitivity studies will involve re-integrating the LSSs over part or all of the global
10-year domain to test the response of the models to changes in forcing data and surface
parameters. Each participant will be encouraged to take part in some or all of the proposed studies.
The sensitivity studies are still being defined, but will likely include sensitivity to choices inmeteorological forcing data, such as choice of near-surface reanalysis product (NCEP/DOE
Reanalysis versus ECMWF ERA-40), impact of hybrid forcing data (combining observed andreanalysis products for precipitation and air temperature), and an assessment of the impact of rain
gauge under-catch. There are also multiple land surface parameter data sets available in ISLSCP
Initiative II, such as three choices of global vegetation maps. GSWP-2 will also investigate

sensitivity to basic choices of surface vegetation data, as well as the impact of inclusion/exclusionof sub-grid information (for LSSs that include surface tile schemes).
Forcing data and model results will be made available to participants as data sets accessible fromthreeDODS
servers(http://www.unidata.ucar.edu/packages/dods/;
http://grads.iges.org/grads/gds/) in the United States, Europe, and Japan. Using the ALMA dataexchange standards (http://www.lmd.jussieu.fr/ALMA/ ), and DODS data subsetting capabilities,
individual LSSs will be able to run globally each time step, each grid point from start to finish, orin any other sequence of integration, accessing the data directly over the Internet without the needto download or otherwise a priori process the complete data set on their local system. Softwaretools and source code to aid in access and production of ALMA-standard data, DODS client
software libraries, PILPS consistency checks of model results, and interpolation of 3-hourlyforcing data to shorter time intervals will also be provided to the community. Additionally,
standard and customizable browse images will be made available to the public via the web.
Release of all forcing and boundary condition data to the modeling groups is scheduled for
February 2003, with baseline simulations due to the GSWP Inter-Comparison Center (ICC) in
August 2003 (see Fig 1). Complete descriptions and current information concerning this evolving
project are available at: http://www.iges.org/gswp/ and anyone interested in participating in land
surface modeling, validation or other scientific participation should contact the project atgswp@cola.iges.org.
Boone, A., F. Habets, and J. Noilhan, 2001: The Rhône-aggregation experiment. GEWEX News,11(3), 3-5.
Dirmeyer, P. A., A. J. Dolman, and N. Sato, 1999: The Global Soil Wetness Project: A pilot
project for global land surface modeling and validation. Bull. Amer. Meteor. Soc., 80,851-878.
Henderson-Sellers, A., A. J. Pitman, P. Irannejad, and K. McGuffie, 2002: Land surface
simulations improve atmospheric modeling. EOS, Transactions, American GeophysicalUnion, 83, 145, 152.
Polcher, J., P. Cox, P. Dirmeyer, H. Dolman, H. Gupta, A. Henderson-Sellers, P. Houser, R.
Koster, T. Oki, A. Pitman, and P. Viterbo, 2000: GLASS: Global Land-Atmosphere
System Study. GEWEX News, 10(2), 3-5.
Fig 1: Projected timeline of GSWP-2.