Geophysical Fluid Dynamics Laboratory
American physics research center From Wikipedia, the free encyclopedia
American physics research center From Wikipedia, the free encyclopedia
The Geophysical Fluid Dynamics Laboratory (GFDL) is a laboratory in the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR). The current director is Venkatachalam Ramaswamy. It is one of seven Research Laboratories within NOAA's OAR.[1]
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GFDL is engaged in comprehensive long-lead-time research to expand our scientific understanding of the physical and chemical processes that govern the behavior of the atmosphere and the oceans as complex fluid systems.[2] These systems can be modeled mathematically and their phenomenology can be studied by computer simulation methods.
GFDL's accomplishments include the development of the first climate models to study global warming,[3][4] the first comprehensive ocean prediction codes, and the first dynamical models with significant skill in hurricane track and intensity predictions. Much current research within the laboratory is focused around the development of Earth System Models for assessment of natural and human-induced climate change.[5]
The GFDL has a diverse community of about 300 researchers, collaborators and staff, with many from Britain, India, China, Japan, France, and other countries around the world. The laboratory is currently organized into several scientific divisions (listed alphabetically below). There is also a large group of scientific programmers known as the Modeling Systems Division, as well as a large computer support group.[7]
Current head: Venkatachalam Ramaswamy
This divisions goal is to employ numerical models and observations of the Earth System to characterize and quantify atmospheric physical processes, particularly those involving greenhouse gases, aerosols, water vapor, and clouds, and their roles in atmospheric general circulation, weather and climate.
Current head: John P. Dunne
This divisions goal is to develop and use the GFDL’s earth system models to create a more comprehensive understanding of the interactions between physical, chemical, and ecological drivers and feedbacks on the earth system.
Current head: Rong Zhang[8]
This divisions goal is to conduct leading research to understand ocean and cryosphere changes and variability; their interactions with weather, climate, sea level, and ecosystems; and advance prediction and projection of future changes. To support this goal, we are developing state-of-the-science numerical models for the ocean, sea ice, land ice, and fully coupled models.
Current head: Thomas L. Delworth[9]
This divisions goal is to improve our understanding of climate variability, predictability and change on time scales ranging from seasonal to multidecadal. This includes internal variability of the coupled climate system, and the response to changing radiative forcing. We are actively working to develop a next-generation experimental seasonal-to-decadal prediction system.
Current head: Thomas Knutson
This divisions goal is to develop innovative physical and dynamical components for the next generation of earth system models, with special emphasis on high resolution (1–25 km) atmospheric model development. We aim to explore the frontiers of weather and climate modeling and analysis, and to improve the predictions of high-impact events such as hurricanes, floods, severe storms, and droughts, from weather to seasonal and interannual (2 year) time-scales.
The GFDL is located at Princeton University's Forrestal Campus in Princeton, NJ.[10][11]
Since March 2011, the GFDL no longer possesses an on-site supercomputer. They instead utilize a massively parallel Cray supercomputer with over 140,000 processor cores which is currently located at Oak Ridge National Laboratory in Oak Ridge, Tennessee. This contrasts from their previous systems architecture, which consisted of eight Silicon Graphics Altix computers, each housing 1024 processor cores.[12] Hardware updates occur on average, every 18 months.
The GFDL has been using high-performance computing systems to perform numerical modeling since the 1950s.
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