March 29, 2016




Longer-Term Weather and Environmental Forecasts Will Provide Enormous Benefit with More Research and Sustained Investment, New Report Says


WASHINGTON – Weather and environmental forecasts made several weeks to months in advance can someday be as widely used and essential as current predictions of tomorrow’s weather are, but first more research and sustained investment are needed, says a new report from the National Academies of Sciences, Engineering, and Medicine.  The committee that conducted the study and wrote the report developed a research agenda, outlining strategies to address the scientific and capability gaps that currently limit the accuracy and usefulness of long-term weather and ocean predictions.


Extending short-term forecasts to predict Earth system conditions — conditions in the atmosphere, ocean, or land surface — two weeks to 12 months into the future will help decision makers, such as local officials, farmers, military officers, or water resource managers, plan ahead and save lives, protect property, and increase economic vitality.  For example, naval and commercial shipping routes could be better planned to avoid hazards or take advantage of favorable conditions predicted for the weeks ahead.


“We have a bold vision that subseasonal to seasonal forecasts, which look two weeks to up to a year in advance, will be as widely used a decade from now as daily and weekly weather forecasts are today,” said committee chair Raymond J. Ban, Ban and Associates, LLC.  “Even if such information never matches the level of confidence associated with tomorrow’s weather forecast, it could still be used by individuals, businesses, and governments to make a large array of important decisions. The path to realizing this vision and its inherent value will require focused effort on Earth system processes and predictions by both physical and social scientists. It’s time to step up investment in building next-generation Earth system prediction capabilities.”


The report outlines a 10-year agenda with four research strategies to make seasonal and subseasonal forecasts more accurate and relevant.


The first strategy is to better engage the community that uses forecast products, which includes resource managers, military planners, first responders, and other potential users across many sectors, the report says.  Social and behavioral science research can help elucidate how current forecasts are being used and identify barriers that exist.  The subseasonal to seasonal research and operational prediction community should be engaged in an ongoing dialogue with user communities in order to match what is scientifically feasible with what users find actionable, as both technical forecasting capabilities and user needs continually evolve.


The second strategy is to focus on increasing the skill and accuracy of subseasonal to seasonal forecasts, the report says.  This will require improvements in all parts of the forecast systems, including expanding observations, improving data assimilation methods, reducing model errors, and improving methods for quantifying uncertainties and verifying forecasts outcomes.


The committee’s third research strategy is to focus on improving the forecasts of extreme and disruptive events, such as winter storms, excessive rainfall events, and intense heat waves, and the consequences of unanticipated events caused by outside forces such as volcanoes, meteor impacts, and oil spills.  Improved prediction of extreme and disruptive events and of the consequences of unanticipated forcing events would give communities more time to plan ahead and mitigate. 


The development of advanced Earth system model components beyond the lower atmosphere, which has been the traditional focus of numerical weather prediction, also requires more attention, the committee noted.  The final research strategy calls for developing more sophisticated models of the ocean, land surface, and cryosphere and other Earth system components and expanding predictions to include more variables relevant to subseasonal and seasonal decision making, such as air quality and sea-ice characteristics, in forecast models. 


The report notes these research strategies will all require advances in the U.S. computational infrastructure to support subseasonal to seasonal forecasting and a national plan and investment strategy for the future.  The sheer volume of observational data, data assimilation steps, and model output involved in this forecasting challenges the limits of current cyber-infrastructure.  This growing subseasonal to seasonal field also needs a workforce able to cross traditional disciplinary boundaries within the Earth sciences, between computing and physical science fields, and to bridge the divide between researchers and decision makers.


The study was sponsored by the Office of Naval Research, NASA, and the Heising-Simons Foundation.  The Academies are private, nonprofit institutions that provide independent, objective analysis and advice to the nation to solve complex problems and inform public policy decisions related to science, technology, and medicine.  They operate under an 1863 congressional charter to the National Academy of Sciences, signed by President Lincoln.  For more information, visit  A roster follows.


The report will be released with a public briefing and webcast at 11 a.m. EDT on Tuesday, March 29; it will also be discussed at a webinar to be held on Wednesday, May 4.



Dana Korsen, Media Officer

Sara Frueh, Media Officer

Rebecca Ray, Media Relations Assistant

Office of News and Public Information

202-334-2138; e-mail

Follow us on Twitter at @theNASEM


Pre-publication copies of Next Generation Earth System Prediction: Strategies for Subseasonal to Seasonal Forecasts are available from the National Academies Press on the Internet at or by calling 202-334-3313 or 1-800-624-6242.  Reporters may obtain a copy from the Office of News and Public Information (contacts listed above). 


#          #          #




Division on Earth and Life Studies

Board on Atmospheric Sciences and Climate


Committee on Developing a U.S. Research Agenda to Advance Subseasonal to Seasonal Forecasting


Raymond J. Ban (chair)


Ban and Associates, LLC

Marietta, Ga.


Cecilia Bitz


Department of Atmospheric Sciences

University of Washington



Andy Brown

Director of Science

United Kingdom Meteorological Office

Exeter, Devon


Eric Chassignet

Professor and Director

Center for Ocean-Atmospheric Prediction Studies

Florida State University



John A. Dutton


Prescient Weather, Ltd.

State College, Pa.


Robert Hallberg

Oceanographer and Oceans and Ice-sheet Processes and Climate Group Head
National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory
Princeton University, Forrestal Campus
Princeton, N.J.


Anke Kamrath

Director of Operations and Services

Computational and Information Systems Laboratory

National Center for Atmospheric Research

Boulder, Colo.


Daryl T. Kleist

Assistant Professor

Department of Atmospheric and Oceanic Science

University of Maryland

College Park


Pierre F.J. Lermusiaux

Associate Professor

Department of Mechanical Engineering and Ocean Science and Engineering
Massachusetts Institute of Technology



Hai Lin

Senior Research Scientist

Environment and Climate Change Canada

Dorval, Quebec


Laura Myers

Deputy Director and Senior Research Social Scientist

Department of Engineering

University of Alabama



Julie Pullen

Associate Professor

Ocean Engineering

Stevens Institute of Technology

Hoboken, N.J.


Scott Sandgathe

Senior Principal Meteorologist
Applied Physics Laboratory
University of Washington



Mark Shafer

Associate State Climatologist
Oklahoma Climatological Survey
University of Oklahoma



Duane Waliser

Chief Scientist

Earth Science and Technology Directorate
NASA Jet Propulsion Laboratory

California Institute of Technology



Chidong Zhang

Department of Meteorology and Physical Oceanography
University of Miami





Edward Dunlea

Study Director