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Access is provided for research and education through

a simple electronic registration process, with valid e-

mail address and acknowledgment of conditions of

supply. Under the simple registration process, access is

given with a 48-hour delay after the initial time of the

forecast. Real-time access is granted in some cases, for

example for field experiments and projects of special

interest to Thorpex. Registration for real-time access is

handled via the Thorpex intellectual property office.

Data access is operated via the TIGGE data portals.

Currently these are at NCAR and ECMWF,3 with the CMA

portal due to open later in 2007. The data portals can

currently be used for registration; search, discover and down-

load of files; selection of data by initialization date/time, data

provider, file type and forecast time; checking volume and

downloading data. Both portals also provide a selection of

parameter subsets. ECMWF offers grid interpolation and a

limited amount of spatial subsetting, while NCAR plans to

offer these expanded services in the future.

Outlook

It is anticipated that limited-area ensemble prediction

systems will also form an important component of GIFS,

whose development is dependent upon TIGGE. The

priority requirement here is to develop standard formats

enhancing the interoperability of the existing systems.

A key objective is to facilitate the use of lateral bound-

ary conditions from global systems by various

limited-area systems. A panel of experts called TIGGE-

LAM has recently been set-up to organize the

limited-area-model component of TIGGE.

turn, lead to targeted applications reducing societal risk to severe weather

through better forecasts (for example health, energy, flood warning, fire

weather). The hydrological community (e.g. through the Hydrologic

Ensemble Prediction Experiment or HEPEX) is expected to be a strong

user of TIGGE data. Some by-products of TIGGE have already appeared,

for instance, the acceleration in implementing various components of the

newWMO information system such as Gridded Binary (GRIB)

2

.

TIGGE technical solutions

The data exchange technique is based on the Internet Data

Distribution/Local DataManager fromUnidata. The newWMO standard

GRIB2 for gridded data was agreed by all partners to support data

exchanges between data providers and archiving centres. The database is

composed of GRIB2 records. The units, names of the various fields, accu-

mulation periods, etc. are identical for all data providers. The data

providers supply data on grids of their own choosing, which are as close

as possible to the native grid employed to carry out the predictions. The

data are archived on the same grid as received. Data providers must ensure

that appropriate software is available to the archiving centres to enable

users to interpolate data to latitude/longitude grids and locations of their

choosing. They must also ensure that when revisions to their systems are

made, revised interpolation software is communicated to the archiving

centres immediately. The archiving centres maintain a user-friendly inter-

face based on interpolation software supplied by the data providers. This

allows the TIGGE users to retrieve data easily at single points or on regular

latitude-longitude grids of their own choosing. Special effort will bemade

to provide quick access to long series of data at a single point, as this is a

frequent request for many applications. Automatic regular requests will

also be possible. In Phase-1, each archive centre provides data through its

own proprietary user interface. However, the supplied data are of course

the same. In Phase-2, the user interface will be unified.

Current status of the TIGGE database

A complete list of data requested from the data providers can be found

at the TIGGE Internet site.2 The data from operational global ensem-

ble forecasts are divided into fields in pressure levels and single-level

fields. Pressure level fields comprise geopotential, temperature, specific

humidity and wind components at 1,000, 925, 850, 700, 500, 300, 250,

and 200 hPa. Additional fields at the tropopause level reflect potential

vorticity on the 320K potential temperature surface, and potential

temperature and wind on the 2PVU potential vorticity level. Other

single-level fields are listed in the table.

Currently five providers (ECMWF, NCEP, UK Met Office, JMA and

CMA) are delivering data, with initial dates varying from Autumn 2006

to Spring 2007. Pressure level data are available from all five providers,

with very few exceptions. Combined streamlines from the five providers

can convey a complete picture of the forecast uncertainty. Production

of single-level fields has proven to be a tough challenge and availabil-

ity varies widely between providers. However, the more useful

single-level fields (such as the description of basic weather parameters

at the surface) are available from all five providers. A detailed list of

available data can be found from the data portals.

Five additional data providers (CPTEC, KMA, MSC, BMRC, and

Météo-France) have signed to the project and should start providing

data before the end of 2007.

Access to TIGGE data for research and education

Data providers supply their products to the TIGGE archive centres

under an agreed set of rules, which include redistribution rights.

Single level fields in the TIGGE database

10 meter u-velocity

10 meter v-velocity

Convective available potential energy

Convective inhibition

Field capacity

Land-sea mask

Mean sea level pressure

Orography

Skin temperature

Snow depth water equivalent

Snow fall water equivalent

Soil moisture

Soil temperature

Sunshine duration

Surface air dew point temperature

Surface air maximum temperature

Surface air minimum temperature

Surface air temperature

Surface pressure

Time-integrated outgoing long wave radiation

Time-integrated surface latent heat flux

Time-integrated surface net solar radiation

Time-integrated surface net thermal radiation

Time-integrated surface sensible heat flux

Total cloud cover

Total column water

Total precipitation

Wilting point

S

OCIETAL

B

ENEFIT

A

REAS

– W

EATHER