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ENVK2-CT1999-00022:
Predictability and Variability of Monsoons and the Agricultural and
Hydrological Impacts of Climate Change (PROMISE) Month 6 Report The project has progressed satisfactorily and no partners
have expressed any difficulties in reaching the milestones as set
out in the Workplan. Summarised below are the principle achievements
in each workpackage. It is confirmed that the PROMISE Workshop and
meeting will be held at ICTP, Trieste during 28 May to 15 June 2001
as part of the Summer Colloquium on 'Land-Atmosphere Interactions
and the Hydrological Cycle'. Prof. Slingo will be a Co-Director of
the Summer Colloquium. COORDINATION WP4000: Development
of the PROMISE Data Archive A subcontract has been negotiated with CINECA and the
PROMISE Data Archive has been established. Rainfall data from the
ECMWF Reanalyses and PROVOST ensembles
have been installed and scripts are being developed to enable web-based
data processing and visualisation (CINECA, ICTP, UREADMY). Data requirements
for the users of climate and seasonal predictions have been agreed
with the partners and with the DEMETER group. They are documented
on the PROMISE website (UREADMY). WP5000: Collaboration
with research institutions in monsoon-affected countries. Links have been established with Agrhymet and CERAAS
in Senegal with a view to developing appropriate crop models (CIRAD).
Through the ICTP Associate Scientist scheme, three institutions in
Brazil, India and the Philippines have been nominated which will allow
a number of funded visits. An associate member from the Kenyan Met.
Department has already visited ICTP and worked on PROMISE (ICTP).
ICRISAT in Hydrabhad, India has been visited and information on relevant
crop yields has been acquired and is being used by PROMISE scientists
(UREADAG). WP6000: Project
coordination The PROMISE website has been established (http://ugamp.nerc.ac.uk/promise) and
the Monsoons Online site has been further developed and maintained
(http://www.met.reading.ac.uk/cag/MOL).
The PROMISE brochure, aimed at non-specialists and users of PROMISE
research, has been published and will be distributed widely. A PROMISE
poster has been produced. RESEARCH WP1000: Natural
variability of monsoon climates. Evidence for intraseasonal variations in the W. African
monsoon on 10-60 day timescales has been found in reanalysis and observational
data (LMD). While modifications to the convective and boundary layer
schemes has led to improvements in the monsoon simulations (The Met.
Office), the onset of the W. African monsoon is still too early by
1-2 months (UREADMY) leading to major difficultie in predicting the
interannual behaviour. Further, it has been demonstrated that longstanding
systematic errors over the Maritime Continent can have a detrimental
effect on the mean climate and interannual variability of the Asian
Summer Monsoon. Part of the systematic error is associated with a
poor representation of the diurnal cycle (UREADMY). WP1100: Seasonal
predictability of monsoon climates. Following close consultation with the DEMETER group,
a basic archive has been agreed. All further work awaits the DEMETER
integrations. WP1200: Sensitivity
of monsoon variability/predictability to SST forcing. The effect of Indian Ocean SSTs on E. African rainfall
has been investigated. It has been shown that the dipole SST mode
in the Indian Ocean can be associated with strong rainfall events
(UREADMY). Model sensitivity experiments have shown that Mediterranean
SSTs can have a significant impact on Sahelian rainfall (The. Met.
Office).Using ensembles of seasonal integrations with the ECMWF model,
it has been shown that whilst the dominant mode of interannual variability
is chaotic, the second mode shows a significant relationship with
ENSO demonstrating that there is potential predictability for the
Asian Summer monsoon (ICTP). WP1300: Impact
of land surface processes on tropical climate variability Sensitivity experiments have demonstrated the importance
of soil moisture in influencing monsoon variability on daily to interannual
timescales. Whereas African rainfall increases systematically with
increasing soil wetness, the response of the Indian summer monsoon
is less clear due to the greater contribution from atmospheric moisture
convergence (CNRM). Similarly it has been shown that Sahelian rainfall
is controlled by the near surface moist static energy, confirming
the importance of soil wetness (UB). WP2000: Climate
change scenarios. A control and an IPCC SRES-b2 scenario integration
has been completed for the period 1950 to 2070
and data will be supplied to the PROMISE data archive. The
control integration has a realistic climate and shows very little
climate drift (CNRM). A new version of the LMD Zoom Model with an
improved land surface parametrization has been developed and will
be used to provide high resolution scenarios of climate change over
monsoon regions (LMD). It has been demonstrated that increases in
greenhouse gas concentrations intensify the Asian summer monsoon and
its variability (MPI). Changes in the hydrological cycle are being investigated and data
on river run-off for the Indus and Ganges/Brahma-putra from the EC
project ERACC are being acquired
(DMI). WP2100: Impact of land use changes on future monsoon climates A land use model for the Sahel has been developed which
partitions the area into fuel-wood, cropland for subsistence and export,
fallow and grazing land and can respond to the demands of the human
population under conditions of variable rainfall. A method for converting
these land use types into the vegetation classifications used in model
surface parametrizations has been developed (NERC). WP3000: Ground
hydrology and water resources for monsoon climates Substantial progress has been made in assembling the
data required for a hydrological model for W. Africa. Flow direction,
river networks, main lakes, reservoirs and wetlands have been identified.
Recent data on irrigated areas have been acquired (NERC). A study
of methodologies for river routeing has been completed with a view
to coupling the climate and hydrological models (LMD). WP3100: Seasonal
prediction of crop yields and assessment of climate change impacts
on crop productivity. Indian groundnut yields for the period 1966-95 have
been acquired for ICRISAT and have been used to perform a detailed
study of the relationship between yield and rainfall on a regional
basis. A dynamic crop model has been tested at various sites (UREADMY,
UREADAG). Following a review of simple crop models adapted to regional
applications, the existing water balance crop model, SARRA,
will be developed further. Modules to handle the carbon cycle
and crop phenology are being formulated using field data (CIRAD).
Preliminary analysis of the climate-vegetation feedbacks operating
in climate change has shown that dieback of the Amazon rainforest
is associated with a drying of Amazonia in response to a warming of
Pacific SSTs. |