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  <title><![CDATA[Pakistan Floods Last Summer Could Have Been Predicted]]></title>
  <body><![CDATA[<p>Five days before intense monsoonal deluges unleashed vast floods 
across Pakistan last July, computer models at a European 
weather-forecasting center were giving clear indications that the 
downpours were imminent. Now, a new scientific study that 
retrospectively examines the raw data from these computer models, has 
confirmed that, if the information had been processed, forecasters could
 have predicted extremely accurate rainfall totals 8-10 days beforehand.

</p><p>The study also finds that the floods themselves could have been 
predicted if this data, which originated from the European Centre for 
Medium-Range Weather Forecasting (ECMWF), had been processed and fed 
into a hydrological model, which takes terrain into account.</p>
 
<p>The July floods killed thousands of people and tens of thousands of 
cattle, and left large parts of Pakistan in shambles. The waters 
displaced, or disrupted the lives of, an estimated 20 million people.</p>

<p>“People don't understand the powers of modern environmental 
prediction,” says Peter Webster, a professor of earth and atmospheric 
science at the Georgia Institute of Technology in Atlanta and lead 
author of the new study. “This disaster could have been minimized and 
even the flooding could have been minimized. If we were working with 
Pakistan, they would have known 8 to 10 days in advance that the floods 
were coming.”</p>
	
<p>He and his colleagues report their findings in a paper accepted for publication in <em>Geophysical Research Letters</em>, a journal of the American Geophysical Union.</p>

<p>The ECMWF, a London-based organization of 33 participating European 
countries, “does not give out weather forecasts and weather warnings to 
the general public or media,” notes  ECMWF scientist Anna Ghelli. “ECMWF
 provides numerical forecasts to its member and co-operating states and 
they are responsible to prepare forecasts for the public and advise the 
authorities in their own countries.”</p>

<p>“We noticed that the signal was there five days in advance,” Ghelli 
recalls. However, the lack of a cooperating agreement between the 
forecasting center and Pakistan meant that these rainfall warnings 
didn't make it to the Pakistani people, nor did Pakistan's own 
meteorological agency forecast the flooding.</p> 

<p>In their research, the Georgia Tech meteorologists use data from the 
European center to analyze whether or not the rainfall was above average
 for Pakistan and if the huge surges in the Indus River would have been 
predictable if flood forecasters were monitoring the country. They 
determine that, while the rainfall total for 2010 was slightly above 
average for the region, the July deluges were exceptionally rare, with 
rainfall amounts exceeding 10 times the average daily monsoon rainfall. 
They also find that if a flood forecasting model had been in place, the 
floods would have been predicted in time to issue warnings.</p>

<p>As a result of processing the raw output from ECMWF models from 
before the Pakistani deluge, the team achieves greater accuracy than the
 raw numerical forecasts alone provided. Some weather stations in 
Pakistan recorded nearly a foot (30 centimeters) of rainfall during the 
4-day downpour. The after-the-fact predictions by Webster and his 
colleagues came in slightly below those amounts at the same locations.</p>

<p>Webster says that processing raw data into weather forecasts and 
combining them with hydrological models is only half the work. In order 
to have any effect, the resulting flood forecasts must be successfully 
disseminated at the village level, and local leaders must also 
understand them.</p>

<p>In nearby Bangladesh, Webster spent five years creating a 
flood-forecasting technique and organizing a cooperating agreement with 
the Georgia Institute of Technology, ECMWF, the Asian Disaster 
Preparedness Center and the government of Bangladesh. When flooding 
occurred there several years ago, warnings made possible by the 
forecasting pact not only averted loss of life, but also saved residents
 as much as $450 per farm — about the equivalent of an average annual 
salary in that country.</p> 

<p>In a few weeks, Webster will attend an international meeting of 
developing nations in Bangkok to build support for flood forecasting in 
Pakistan. He says a forecasting system in Pakistan would cost a few 
million dollars to set-up, but as little as $100,000 a year once 
operational. He hopes to convince the World Bank, currently providing $1
 billion of flood-recovery financing to Pakistan, to fund the project.</p>

<p>In Bangladesh, Webster recalls, an imam at a local mosque told him 
about how they discussed the flood forecasts each day in prayer. This is
 the sort of local solution that Webster envisions for Pakistan as well.</p>

<p>The National Science Foundation funded this research.</p><p><strong>Written by the American Geophysical Union</strong></p>]]></body>
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      <value>2011-01-31T00:00:00-05:00</value>
      <timezone><![CDATA[America/New_York]]></timezone>
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  <field_summary_sentence>
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      <value><![CDATA[Peter Webster talks about how better coordination could have minimized the disaster.]]></value>
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  <field_summary>
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      <value><![CDATA[<p>Five days before intense monsoonal deluges unleashed vast floods across 
Pakistan last July, computer models at a European weather-forecasting 
center were giving clear indications that the downpours were imminent. 
Now, a new scientific study that retrospectively examines the raw data 
from these computer models, has confirmed that, if the information had 
been processed, forecasters could have predicted extremely accurate 
rainfall totals 8-10 days beforehand.</p>]]></value>
    </item>
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      <email><![CDATA[david.terraso@comm.gatech.edu]]></email>
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      <value><![CDATA[<p>Peter Weiss</p><p>Public Information Manager, American Geophysical Union</p><p>202-777-7507</p><p><a href="mailto:PWeiss@agu.org">PWeiss@agu.org</a></p><p>David Terraso</p><p>Communications and Marketing, Georgia Tech</p><p>404-385-2966</p><p><a href="mailto:david.terraso@comm.gatech.edu">david.terraso@comm.gatech.edu</a></p>]]></value>
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