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NASA
PINPOINTS WHERE RAIN COMES FROM AND WHERE IT GOES
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A
new NASA computer model can now tell exactly where in the
world rain or snow that provides local water originated. Scientists
can use this "water vapor tracer" to improve rainfall
and drought forecasts and gain a deeper understanding of climate
change.
The
model simulates water movement in the atmosphere around the
world, and traces it from the places where it evaporates to
the places where it falls back to Earth.
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"If
I see rain or snow in the central U.S., I can now tell you
how much of the moisture came from the Gulf of Mexico, how
much came from the tropical Atlantic Ocean and so on,"
said meteorologist Mike Bosilovich of NASA's Data Assimilation
Office at Goddard Space Flight Center in Greenbelt, Md. Bosilovich
is lead author of the study being published in the March-April
issue of the Journal of Hydrometeorology. "The model
gives us a much clearer picture of how water moves in the
atmosphere than we have ever had before."
By
identifying water vapor movement in the atmosphere, weather
forecasters will better understand how evaporation from a
particular place contributes to local and regional precipitation,
leading to more accurate weather forecasts. The model can
actually pinpoint individual regional sources of atmospheric
moisture, rather than combining them. Bosilovich said if scientists
can understand how geographic sources of atmospheric moisture
fluctuate from year to year, they also will have a clearer
picture of how climate changes in the long term.
The
atmosphere over North America receives moisture evaporated
from many different water sources. For example, while clouds
above the West Coast generally originate in the Pacific Ocean,
those over the Midwest are more likely to have come from the
Gulf of Mexico. Water from previous storms also evaporates
from the land, contributing to the mix.
"You
might visualize each region of a continent or ocean as having
a kind of 'smokestack,'" Bosilovich explained. "Each
'smokestack' sends up a plume of water vapor that mixes with
the air."
But
what complicates matters is that these "smokestacks"
send up different-sized plumes of moisture at different times,
and changes in wind and temperature can push them in different
directions depending on the day or season. Until very recently,
even the fastest computers had trouble keeping track of all
the variables.
Bosilovich
and Siegfried Schubert, who works with Bosilovich, have demonstrated
the model's capabilities by analyzing the atmospheric water
cycles over India and North America. They chose to analyze
the cycles during the summer months over a period of six years,
since both regions experience monsoons from June through August,
and provide a great deal of moisture to track.
They
found that while precipitation in India often comes directly
from the ocean, much of what falls on the United States in
the summertime can be "recycled" moisture -- water
from previous storms that evaporates from the ground and then
falls again quickly nearby. "The model could assess how
strongly this recycling of water contributed to floods like
the devastating Mississippi River flood of 1993," Bosilovich
said.
Bosilovich
is currently applying the data from the 1993 flood to the
water-vapor tracer model, to gain a better insight into the
processes that generated the flood. Analyzing past weather
events will help him refine his model's operation, a necessity
if it is ever to make accurate predictions of future weather.
"Currently,
the only hard data the model accounts for is sea surface temperature;
everything else is simulated. Our next big job is to work
more observational data into the model, so it can reflect
actual global atmospheric conditions," said Bosilovich.
Such improvements will take time, but could lead scientists
to better understanding of both next week's weather and the
next century's climate.
The work is supported by grants from the joint NASA-NOAA Warm
Season Precipitation Initiative and NASA's Earth Science Enterprise.
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