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domingo, 23 de octubre de 2016

NSF : Soil moisture, snowpack data could help predict 'flash droughts' .- La humedad del suelo, los datos de la capa de nieve podrían ayudar a predecir 'sequías Flash'

https://www.nsf.gov/news/news_summ.jsp?cntn_id=190023&WT.mc_id=USNSF_51&WT.mc_ev=click


Severe 2012 drought could have been forecast months in advance, research shows

Flash droughts, like the one in the U.S. Southern Rockies and Midwest in 2012, can be predicted.

Flash droughts, like the one in the U.S. Southern Rockies and Midwest in 2012, can be predicted.
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October 18, 2016
The "flash drought" that unexpectedly gripped the U.S. Southern Rockies and Midwest in the summer of 2012 could have been predicted months in advance using soil moisture and snowpack data, according to new research.
Scientists at the National Center for Atmospheric Research (NCAR) analyzed the conditions leading to the 2012 drought -- which resulted in $30 billion in economic losses -- looking for any warning signs that a drought was on the way.
In a study funded by the National Science Foundation (NSF) and published in the Journal of Geophysical Research-Atmospheres, the researchers found that observations of snowmelt and soil moisture could have forecast the ensuing drought up to four months in advance.
"Advance knowledge of a drought even a month or two ahead of time can greatly minimize the effects on society," said Anjuli Bamzai, program director in NSF's Division of Atmospheric and Geospace Sciences. "This study highlights the role of snowpack and soil moisture conditions in predicting the sudden onset of drought."
Seasonal drought forecasts issued in May 2012 for the upcoming summer did not foresee a drought forming in the country's midsection. But by the end of August, a drought that started in the Southern Rockies had spread across the Midwest, parching Oklahoma, Kansas, Nebraska and Missouri.
"The 2012 drought over the Midwest was one of the most severe and extensive U.S. droughts since the 1930s Dust Bowl, but it was also extremely challenging to predict," said Debasish PaiMazumder, lead author of the study. "This study demonstrated the potential to improve seasonal drought outlooks in the future, giving farmers, water planners, and others more time to prepare."
Flash droughts -- which form and intensify rapidly -- can catch forecasters off-guard because they are not preceded by any large-scale climate patterns that could act as warning signals.
For example, one contributor to the recent California drought was a persistent high-pressure system parked off the west coast that deflected storms away from the state. Because forecasters could identify the high-pressure system, they could also accurately predict fewer storms and a worsening of the drought.
Previous research showed that looking at soil moisture alone could improve the lead time of drought predictions by one to two months. PaiMazumder and NCAR colleague James Done were interested in whether they could extend this further by adding snowpack into the equation.
To explore the connections among snowpack, soil moisture and drought, the researchers analyzed data collected between 1980 and 2012. To supplement those observations, they also looked at the connections through a new NCAR-based community Weather Research and Forecasting (WRF) model dataset comprising 24 simulations from 1990 to 2000, and in 2012.
Because each simulation was run with small tweaks to the way the model represents atmospheric physics, the result was a broad look at different climate scenarios that could have plausibly unfolded during the study period.
"The model helped us get a handle on how robust the relationship is among snowpack, soil moisture and drought," Done said. "The stronger the relationship, the better the predictor."
While observations of snowpack and soil moisture could have helped forecast the 2012 drought, the method does not replace other drought prediction measures that identify large-scale phenomena that frequently lead to drought conditions.
"This is another ingredient that could be used when making seasonal drought forecasts," Done said.
-NSF-
Media Contacts Cheryl Dybas, NSF, (703) 292-7734,
 cdybas@nsf.gov
Laura Snider, NCAR, (303) 497-8605,

Related WebsitesNSF Grant: Collaborative Research: EaSM3 Integration of Decision-Making with Predictive Capacity for Decadal Climate Impacts: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1419563&HistoricalAwards=false


The National Science Foundation (NSF) is an independent federal agency that supports fundamental research and education across all fields of science and engineering. In fiscal year (FY) 2016, its budget is $7.5 billion. NSF funds reach all 50 states through grants to nearly 2,000 colleges, universities and other institutions. Each year, NSF receives more than 48,000 competitive proposals for funding and makes about 12,000 new funding awards. NSF also awards about $626 million in professional and service contracts yearly.
Useful NSF Web Sites:
NSF Home Page:
https://www.nsf.gov
NSF News:
https://www.nsf.gov/news/
For the News Media:
 https://www.nsf.gov/news/newsroom.jsp
Science and Engineering Statistics:
 https://www.nsf.gov/statistics/
Awards Searches:
https://www.nsf.gov/awardsearch/
The 2012 flash drought hit Iowa farmlands hard, turning their once-green crops sere and brown.
The 2012 flash drought hit Iowa farmlands hard, turning their once-green crops sere and brown.
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Corn was among the crops affected by the 2012 flash drought.
Corn was among the crops affected by the 2012 flash drought.
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With earlier drought warnings, farmers, water planners and others would have more time to prepare.
With earlier drought warnings, farmers, water planners and others would have more time to prepare.
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Scientists are using measures of soil moisture as a way of predicting flash droughts to come.
Scientists are using measures of soil moisture as a way of predicting flash droughts to come.
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How deep is the snowpack? The answer may indicate whether a flash drought is on the horizon.
How deep is the snowpack? The answer may indicate whether a flash drought is on the horizon.
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The National Science Foundation (NSF)
Guillermo Gonzalo Sánchez Achutegui
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