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For more information contact:

Cynthia O'Carroll
Goddard Space Flight Center, Greenbelt, Md.
(301-614-5563)

Ed Stiles
University of Arizona
(520-621-3754)

Stephanie Kenitzer
American Meteorological Society
(425-432-2192)

Carmeyia Gillis
NOAA Climate Prediction Center, Camp Spring, Md.
(301-763-8000, ext. 7163)

Hydrological Data and Information System (HyDIS) website

Viewable Images

Caption for Image 1: Roosevelt Dam of the Salt River Project (SRP)
Credit: Salt River Project (SRP)

Roosevelt Dam of the Salt River Project (SRP) is the major water supplier for Phoenix, Arizona. In August 1997, a seasonal forecast predicted an El Niño, which often leads to a wet winter in the southwest. In anticipation of high flows, SRP released water from their reservoirs and saved over a million dollars through the use of the seasonal climate forecast. They risked losing $5 to 6 million if the forecast had proved incorrect.

Caption for Image 2: The University Of Arizona Forecast Tool Evaluates Long-Term National Weather Service Forecasts for Coastal Oregon
Credit: Holly Hartmann and Tom Pagano

Official seasonal temperature outlook forecasts are issued by the National Weather Service Climate Prediction Center (NWS/CPC). The University of Arizona Climate Tool evaluates those forecasts for accuracy. Sample results are depicted in the maps below for Coastal Oregon.

The NWS/CPC official seasonal temperature outlooks are issued during September - December and cover 3-month seasons from January - April, 1995-2000.

The left map shows the probability of detecting whether the winter season will be warm, while the right map shows the false alarm rate for forecasting warm conditions incorrectly. Results are expressed as a percentage, with bright blue indicating good forecast results and bright red indicating poor forecast performance. The maps show that forecasts for Oregon's coastal valley (in yellow) have detected warm winters over 56% of the time, while falsely predicting warm conditions only 15% of the time.

Caption for Image 3: The University Of Arizona Forecast Tool Evaluates Long-Term National Weather Service Forecasts for Louisiana
Credit: Holly Hartmann and Tom Pagano

The University of Arizona Tool evaluated the official seasonal temperature outlooks issued by the National Weather Service Climate Prediction Center, issued during August - November and covering 3-month seasons from December - April, 1995-2000. The map color indicates whether the forecasts are better (blue) or worse (red) than using historical probabilities, measured by the Ranked Probability Skill Score. The map shows that forecasts for coastal Louisiana (in yellow) have been over 25% better than historical probabilities.



 

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May 22, 2002 - (date of web publication)

NEW ON-LINE TOOL TAILORS CLIMATE FORECASTS TO FIT RESOURCE MANAGERS' NEEDS

Roosevelt Dam

 

Image 1

 

A soon-to-be-released online tool, developed through NASA funding, provides "Consumer Reports" type evaluations of seasonal forecasts for water, land and agricultural managers. By helping users determine what forecasts are right for their needs, this tool could help users make multi-million dollar decisions.

Seasonal forecasts predict whether temperatures and precipitation in an area will be above average or below average for an upcoming season. This tool tells users how accurate these predictions have been in the past.

If understood and used properly, long-range forecasts can greatly aid in the management of water, fires, cattle, agriculture, energy and more.

The University Of Arizona Forecast Tool Evaluates Long-Term National Weather Service Forecasts for Coastal Oregon

 

Image 2

 

"There is so much misinterpretation concerning climate forecasts in general," said Holly Hartmann, a University of Arizona hydrologist, and lead author of a paper that is the cover story in the May issue of the Bulletin of the American Meteorological Society. "Part of our tool tries to make sure that forecasts are easy to interpret and that people can reliably interpret them."

When millions of dollars and lives are at stake, resource managers have been tentative about taking advantage of sophisticated climate forecasts available on the Web. By explaining and evaluating these forecasts, the new tool helps decision makers utilize them regardless of their training.

The University Of Arizona Forecast Tool Evaluates Long-Term National Weather Service Forecasts for Louisiana

 

Image 3

 

"One of the major reasons why natural resource managers don't use climate forecasts is because they don't know how good they are," said Tom Pagano, a University of Arizona researcher, and co-author of the paper.

Seasonal forecasts are made through the use of data from satellites, computer models, and ocean buoys. Scientists predict the climate of future seasons based on interactions between atmospheric pressures and slowly varying ocean temperatures. They then compare these assessments with historical weather patterns.

The tool allows users to customize evaluations to consider the lead-times, seasons and locations most relevant to each resource manager's specific needs.

For example, the high likelihood of a wet winter gives water reservoir managers in the southwest more confidence when they make decisions to let water out of a reservoir in the fall. A mistake can lead to water shortages, as well as millions of dollars spent pumping ground water.

Ranchers, on the other hand, use seasonal forecasts to make predictions concerning winter and summer climates that effect grass growth. By having an idea of the probability of unfavorable conditions, they can stock up on hay ahead of time.

Also, wildfire managers may use seasonal forecasts of temperatures and rainfall early in the year to budget their resources for the rest of the year, make decisions about fire risks, and figure out when might be a good time to conduct prescribed burns, and rehabilitate previously burned areas.

The on-line tool is currently set up to assess the seasonal outlooks regularly issued by the National Weather Service (NWS) Climate Prediction Center (CPC), which serve as the government's official forecasts.

"Since seasonal forecasts aren't as consistently reliable as short term weather forecasts, it's important that we communicate their performance characteristics in a way that users can understand and exploit the forecast," said Robert Livezey, chief of the NWS Office of Climate, Weather, and Water Services, and a former senior scientist at the CPC. "This work makes substantial progress in this regard for specific users."

Funding for the project was provided through grants from NASA's Earth Observing System, and the National Oceanic and Atmospheric Administration.

Currently in the latter stages of development, the site will be made public by late summer through the University of Arizona's Hydrological Data and Information System (HyDIS) website: http://hydis.hwr.arizona.edu/.

Potential users interested in final testing of the site can contact Holly Hartmann at hollyh@hwr.arizona.edu.

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