Large-scale Uncoupled Action Update

Large-scale Uncoupled Action Update

Paul DirmeyerTaikan Oki

Paul DirmeyerTaikan Oki

Large-scale Uncoupled Action Update

Large-scale Uncoupled Action Update

Paul DirmeyerTaikan Oki

Paul DirmeyerTaikan Oki

GLASS Framework

GRP

GHP

GMPP

US-GEWEXProject Office (Water Cycle Office)SSG

US-GEWEXProject Office (Water Cycle Office)SSG

USUS

ndnd Global Soil Wetness Global Soil Wetness ProjectProject

www.iges.org/gswp/gswp@cola.igegswp@cola.iges.orgs.org

www.iges.org/gswp/gswp@cola.igegswp@cola.iges.orgs.org

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.

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.

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/

DODS: www.unidata.ucar.edu/packages/dods/

GDS: grads.iges.org/grads/gds/

LIS: lis.gsfc.nasa.gov/

ALMA: www.lmd.jussieu.fr/ALMA/

DODS: www.unidata.ucar.edu/packages/dods/

GDS: grads.iges.org/grads/gds/

LIS: lis.gsfc.nasa.gov/

Data serversThe 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/

•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

ICC

• Optical or Internet Submission• Status (Taikan?)

IIS-UT DBSystem

• 500TB HDS• Receiving

AVHRR, VISSR and MODIS

• GSWP DC• Will be used for

CEOP DC• JMA GPV

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.

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.

Validation issues in GSWP-2

Preliminary work at COLA

•Assessment of in situ data

•Assessing existing global data sets

•Remote sensing efforts

“SCAN’t”

•Very few operational stations during 1994-95•Data unreliable before ~1997

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 measurements

Global Soil Moisture Data Bank

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&M CPC GOLD R2 SSM/I ERS

LSS / SensorModified Bucket

Uncoupled

“Leaky” Bucket

Uncoupled

SSiBUncoupled

Pan & MahrtCoupled

SSM/IERS

Scaterometer

Horizontal resolution

0.5° 0.5° 1.875°1.875°x1.915

°0.3º 28km

Surface soil moisture capacity

N/A N/A 20-23mm 43mmSurface water

index~10mm

Column available soil moisture

150mm 760mm322-1125mm

(varies spatially)

857mm N/A N/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- *1979-1999 1979-1948-

* No data 6/1990-12/1991

1950-1999

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-).

Russia (Wi)Russia (Sp)MongoliaIndiaIllinoisChinaSurface (1992+)17117142101943# Stations

# Useful3941010190Monthly Mean373705190Anomaly

% Useful23%24%0%100%100%0%Monthly Mean22%22%0%50%100%0%Anomaly

Top 1m soil wetness

•R2 is clearly inferior.

•Other products have strong/weak regions

Russia (Wi)Russia (Sp)MongoliaIndiaIllinoisChinaTop 1m (1980-99)17117142101943# Stations

# Useful36371591932Monthly Mean36371851934Anomaly

% Useful21%22%36%90%100%74%Monthly Mean21%22%43%50%100%79%Anomaly

RankTotalRussia (Wi)Russia (Sp)MongoliaIndiaIllinoisChina

GOLD1112222Monthly Mean

2332122AnomalyW&M

3333214Monthly Mean3223113Anomaly

R24344443Monthly Mean

4444444AnomalyCPC

2221131Monthly Mean1111331Anomaly

Performance of various products•For anomalies, CPC

product appears best for column soil wetness, GOLD (GSWP-style) is 2nd.

•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

RankTotalRussia (Wi)Russia (Sp)MongoliaIndiaIllinoisChina

GOLD2221111Monthly Mean

1411111AnomalyR2

3331341Monthly Mean4141431Anomaly

SSM/I4441421Monthly Mean

3331341AnomalyERS

1111131Monthly Mean2221211Anomaly

Sfc

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).