GFDL - Geophysical Fluid Dynamics Laboratory

Approaching storm iStockphoto.com/MvH

Welcome

GFDL is engaged in comprehensive research fundamental to NOAA’s mission. Scientists at GFDL develop and use mathematical models and computer simulations to improve our understanding and prediction of the behavior of the atmosphere, the oceans, and climate. GFDL scientists focus on model-building relevant for society, such as hurricane research, weather and ocean prediction, seasonal forecasting, and understanding global and regional climate change.

GFDL’s research encompasses the predictability and sensitivity of global and regional climate; the structure, variability, dynamics and interaction of the atmosphere and the ocean; and he ways that the atmosphere and oceans influence, and are influenced by various trace constituents. This science incorporates a variety of disciplines including meteorology, oceanography, hydrology, classical physics, fluid dynamics, chemistry, applied mathematics, and numerical analysis.  GFDL has set the agenda for much of the world’s research on the modeling of global climate change since 1955.

Research is also facilitated by the Atmospheric and Oceanic Sciences Program, which is a collaborative program at GFDL with Princeton University. Under this program, Princeton faculty, research scientists, and graduate students participate in theoretical studies, both analytical and numerical, and in observational experiments in the laboratory and in the field. The program is supported in part by NOAA funding.

 

Research Highlights

Read more GFDL Research Highlights

Events & Seminars

  • March 29, 2017: The record of Pacific Warm Pool climate change from stalagmites in Borneo (abstract)
    Jess Adkins (California Institute of Technology)
    Time: 12:00 pm - 1:00 pm
    Location: Smagorinsky Seminar Room
  • March 30, 2017: Moving from quantity to quality: Exploring climate impacts on inland and coastal waters (abstract)
    Anna Michalak (Carnegie Institute-Stanford, CA)
    Time: 2:00 pm - 3:00 pm
    Location: Smagorinsky Seminar Room
  • April 5, 2017: Aerosol Microphysics (abstract)
    Gingian Jin (MIT)
    Time: 12:00 pm - 1:00 pm
    Location: Smagorinsky Seminar Room
  • April 6, 2017: The potential of satellites and assimilation to quantify climate forcing, feedbacks, and prediction in the Earth System: application to atmospheric chemistry and the carbon cycle (abstract)
    Kevin Bowman (NASA JPL)
    Time: 2:00 pm - 3:00 pm
    Location: Smagorinsky Seminar Room
  • April 12, 2017: Evaluation of Tropical Cyclone Structure Forecasts in a High-Resolution Version of the fvGFS Model (abstract)
    Andrew Hazelton
    Time: 12:00 pm - 1:00 pm
    Location: Smagorinsky Seminar Room
  • April 13, 2017: TBD (abstract)
    Yasuko Yoshida (NASA Goddard/IIASA Vienna Austria)
    Time: 2:00 pm - 3:00 pm
    Location: Smagorinsky Seminar Room
  • April 20, 2017: TBD (abstract)
    Noah Diffenbaugh (Stanford University)
    Time: 2:00 pm - 3:00 pm
    Location: Smagorinsky Seminar Room

More events & seminars...

GFDL Research as the Foundation for Applications

NEXT GENERATION WEATHER PREDICTION
The National Weather Service announced in July 2016 that it has adopted the FV3 core, developed at GFDL, as the backbone for the next generation US weather prediction model. This next generation model, with the ability to represent weather processes at very small spatial scales, should provide a major leap forward in US weather prediction capabilities, leading to improved prediction of extreme storms
SEASONAL FORECASTING
Since 2013, GFDL has been a major contributor to the US component of the North American Multi Model Ensemble (NMME) for seasonal forecasting. GFDL's leading edge prediction models have formed a crucial backbone of this prediction activity in support of NOAA's mission, and provide significant advances in seasonal prediction of El Niño and hurricane activity.
NEXT GENERATION OCEAN MODEL
Scientists at GFDL have developed and released a new model code at the forefront of ocean simulation and prediction. The code, MOM6, uses state-of-the-art techniques to substantially improve our ability to model and predict the ocean, including ocean biogeochemistry and ecosystems. The National Center for Atmospheric Research (NCAR) has announced that they will use MOM6 for their next generation of the Community Earth System Model.