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[

] 125

O

bserving

, P

redicting

and

P

rojecting

C

limate

C

onditions

and Water Assessment Tool of the Grassland, Soil and Water

Research Laboratory in Temple, Texas, USA to estimate soil

moisture and stream flow. These would be related to SPI and

Normalised Difference Vegetation Index data, and implies that

rainfall indices will also be prime foci of the national monitors.

Projection of rainfall indices

CIMH currently produces a precipitation outlook for the Caribbean

from Guyana in the south, across the island chain to Belize in the

West. The information comes in the form of probabilities of normal,

above normal and below normal rainfall with a lead time of three

months. The forecasts will be used in combination with the monitor-

ing output to provide projections of precipitation index values with

the same lead times.

A number of model outputs are used to produce the final outlook

maps. Rainfall projections from the European Centre for Medium

Range Forecasting, the International Research Institute for Climate

Prediction and the United Kingdom Meteorological Office are

combined with some subjective climatological experience. The

intention is to produce at least two projections; one using the

combined final outlook, and at least one using a lone model output.

Model validation would be performed to determine the model that

best represents the region.

Outcomes and benefits expected from CDPMN

The network is expected to improve the management of water

resources, and aid in planning and adaptation to drought and heavy

precipitation, which are real and increasing threats. It will fulfil four

main functions:

• Monitor the status of rainfall via climatological, hydrological,

and other indicators

• Undertake projections with lead times of up to three months by

coupling seasonal forecasts with drought monitoring

• Post warnings on CIMH website and disseminate to key agencies,

governments and media in partner countries

• Enable the development of adaptation and response strate-

gies to drought and excessive rainfall by creating a network of

researchers working with stakeholders, including all levels of

government from the local to national.

Discussion so far has concentrated on the first three

functions. A key aspect of the fourth function is an

awareness of the impacts of the different severity classes

of indices and indicators. For example, how did the

peaks and troughs of the historical SPI for Edgecumbe,

Barbados, impact on vital sectors of the economy such

as agriculture and water resources? Research will pay

some attention to relating the indices and indicators

with impacts in the relevant sectors, and would be an

important activity at both the local/community and

national levels.

In addition to monitoring trends, implementing

early warning systems and networking, the CDPMN

will define knowledge gaps and uncover the need to

address extreme events and coping mechanisms. The

network will be valuable for decision makers to be able

to target their efforts on the most vulnerable regions

and communities.

Through the CDPMN, which is expected to be fully

operational by 2010, researchers and decision makers

will gain access to a community of professionals

working on drought and flooding/excess precipitation

issues. They will partake in workshops and training

sessions on impacts of extremes and how to adapt. They

will be invited to share experiences and be involved in

identifying and shaping the research priorities related to

water resources, climate and climate change.

Edgecumbe SPI Jul-Dec (6 months)

Historical SPI values for Edgecumbe, St. Philip, Barbados from 1856

Source: CIMH

Measuring river levels in St. Cuthbert Mission, Guyana