Overview and Projects
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The
goal of research in the Eltahir group is to advance understanding
of the fundamental hydrological processes and mechanisms
that govern the role of the biosphere, as characterized
by vegetative cover and soil moisture conditions, in the
dynamics of biosphere-atmosphere interactions and the associated
water cycle at regional scales. Understanding of these processes
is critical to the solution of several regional environmental
problems that are important to society: (1) assessment of
the impact on sustainability of regional water resources
due to deforestation and desertification, (2) assessment
of the predictability of large-scale hydrological droughts
and floods as sources of significant natural hazard, (3)
assessment of the regional impacts on water resources, agriculture,
and ecosystems that may result from any global change scenario.
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The Role of the Biosphere
in the Climate of Tropical Regions
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Satellite image of vegetation types
in Africa
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West Africa
The objective of this project is
to advance understanding of the role of the biosphere in the climate of
tropical regions. During the last few years, we developed a general
theory that defines the role of vegetation in sustaining large scale
atmospheric circulations, and in shaping the climate of the tropics.
We applied this theory in investigating the role of vegetation in the
dynamics of West African monsoons and obtained new insights regarding
the possible link between observed deforestation and occurrence of droughts.
Although, in the past we concentrated on the problem of defining the
role of the static vegetation in climate processes at the interannual
time scale, we are currently investigating the two-way interactions
between vegetation dynamics and atmospheric variability at decadal and longer
time scales. [Sponsored by: National Science Foundation (Climate
Dynamics Program);and NASA (New Investigator Program)]
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Amazon
The objective of the research in
the Amazon region is to evaluate the impact on regional
climate and surface hydrology due to the expansion of current
patterns of deforestation in Brazilian Amazonia. Earlier
work in this project resulted in a new quantitative characterization
of the regional hydrological cycle in the Amazon region.
We explored the impact of medium-scale deforestation on
climate, and proposed new mechanisms for land-atmosphere-ocean
interactions over the Amazon basin. A high resolution mesoscale
climate model has been developed to use satellite estimates
of deforestation patterns in the Amazon in order to predict
their impact on regional hydrology. The same model will
assimilate information about precipitation from NASA's Tropical
Rainfall Measuring Mission (TRMM). [Sponsored by: (NASA-TRMM
Program) in collaboration with Professor Rafael Bras; Martin
Fund for Environmental Research]
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Satellite image of vegetation types
in South America |
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Soil Moisture-Rainfall
Feedbacks
North American
river network |
Soil moisture conditions and vegetation distribution affect
the surface energy balance in similar ways. The research
in this project explores a recently proposed hypothesis
that describes a soil moisture-rainfall feedback mechanism
and emphasizes the control exerted by soil moisture on radiative
processes at the land-atmosphere boundary. These theoretical
concepts have been applied in analyzing the role of soil
moisture in the dynamics of regional climate at the seasonal
time scale in the Midwest region of North America with the
objective of investigating the mechanisms of floods and
droughts over this important agricultural region. [Sponsored
by: Alliance for Global Sustainability]
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El Niño and the
Hydrology of Tropical Rivers
Distribution of the Surface Temperature
anomalies in º C for the Pacfic Ocean, during the 1997-1998
El Niño event
El Niño is the most significant phenomenon
that shapes the variability of climate in tropical regions
at the interannual time scale. We are studying the relationship
between Sea Surface Temperature in the Pacific Ocean,
a measure of El Niño, and the flow in several large
tropical rivers. The objective is to develop new methodologies
for long-range forecasting of river flow, using El Niño
forecasts, which can improve significantly the options
for water resources management in the tropics. [Sponsored
by the Sloan Foundation, and the Winslow Chair]
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Topography and the Distribution of Soil Moisture |
Knowledge
of soil moisture distribution is needed in climate studies,
for parameterizing surface hydrology and for the development
of models that simulate vegetation dynamics. This project
deals with describing the spatial variability of soil moisture
in the root zone at large-scales (~ 3 Km). The objective is
to develop a general theory which relates the spatial distribution
of soil moisture to the distribution of elevation, soil type,
and rainfall. Such theory will facilitate the use of the readily
available data sets describing topography for the purpose
of defining the spatial distribution of soil moisture. The
research in this project involves development of analytical
theory and collection of field data on soil moisture from
Harvard Forest for validation purposes. [Sponsored by: NASA
(Hydrology and Geology Programs)]
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Elevation field for a (3 km x 3 km)
area from Central Massachusetts |
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Monsoons and Malaria in Africa
Hydrological and climatological determinants of African
anopheline habitat |
Within the semi-arid Sahel zone of Africa,
serious malaria epidemics arise as a result of the annual
wet season. We are studying the environmental determinants
of malaria outbreak occurrence in this region with the aid
of numerical modeling techniques. We are involved in an
inter-disciplinary study to investigate the dependence of
mosquito breeding and infection rates on factors such as
surface water pooling which is the result of various hydroclimatological
variables. In a unique approach, individual mosquitoes in
a small study area in Niger will be modeled numerically
in a simulation coupled with a small-scale hydrology model.
Model input will include satellite-acquired remotely sensed
data for vegetation, soil moisture and topography. With
results validated by field investigations, variation in
mosquito abundance and infection rates will be simulated.
This numerical modeling tool will shed light on dynamics
of outbreak occurrence and will help the targeting of intervention
efforts.
The figure below shows three years of weekly malaria prevalence
data. This is data obtained from the Niger ministry of health,
and spans the entire country. Superimposed on this curve
is daily rainfall data for one year, showing the strong
response of malaria cases to the mosquito population explosion
that inevitably follows extended pool persistence which
mosquitoes use to breed. The peak of the malaria prevalence
coincides with the end of the rainy season, most likely
because mosquito populations can continue to grow up to
this point.
Arne Bomblies, a doctoral student in Prof. Eltahir’s
group, has established a field site in the village of Banizoumbou,
Niger, joining the international team of scientists who are
monitoring outbreaks of malaria and collecting measurements
of the hydrologic cycle. Visit Arne Bomblies' web site for
updates on the field research project, http://web.mit.edu/bomblies/www/project.htm.
This research is sponsored by the National Oceanic and Atmospheric
Association.
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