Field Tests Unite Weather
and Climate Models
Researchers from Goddard Space Flight Center
(GSFC) and seven other government and academic
institutions have created four new supercomputer
simulations that for the first time combine
their mathematical computer models of the atmosphere,
ocean, land surface, and sea ice. These simulations
are the first field tests of the new Earth
System Modeling Framework (ESMF), a shared
software infrastructure that promises to accelerate
research aimed at improving U.S. predictive
capability ranging from short-term weather
forecasts to century-long climate change projections
and more rapidly move the results of that research
into operational prediction systems.
Under a partnership, groups from NASA, the
National Science Foundation (NSF), the National
Oceanic and Atmospheric Administration (NOAA),
the Department of Energy (DOE), the Department
of Defense, and research universities are using
ESMF as the standard for coupling their weather
and climate models to achieve a realistic representation
of the Earth as a system of interacting parts.
Having a standard will unify much of the modeling
community. ESMF makes it easier to share and
compare alternative scientific approaches from
multiple sources, uses remote sensing data
more efficiently, and eliminates the need for
individual agencies to develop their own coupling
software.
“The development of large Earth system
applications often spans initiatives, institutions,
and agencies and involves the geoscience, physics,
mathematics, and computer science communities.
With ESMF, these diverse groups can leverage
common software to simplify model development,” said
NASA ESMF principal investigator Arlindo da
Silva, a scientist in GSFC’s Global Modeling
and Assimilation Office.
NASA’s Earth-Sun System Technology Office/Computational
Technologies (ESTO/CT) Project funds the field
tests and overall ESMF development. The partners
on the field tests are DOE’s Los Alamos
National Laboratory (LANL), the Massachusetts
Institute of Technology (MIT), NASA’s
Jet Propulsion Laboratory (JPL), NOAA’s
Geophysical Fluid Dynamics Laboratory (GFDL)
and National Centers for Environmental Prediction
(NCEP), NSF’s National Center for Atmospheric
Research (NCAR), and the University of California,
Los Angeles (UCLA).

Image
above: Using ESMF, researchers
have coupled an atmosphere
model and an ocean model
that had not interacted before.
This image depicts sea surface
temperatures after five iterations
of the simulation. The collaborators
on this field test are the
Geophysical Fluid Dynamics
Laboratory (GFDL) and the
Massachusetts Institute of
Technology (MIT) (Image credit:
Shep Smithline, GFDL; Chris
Hill, MIT).
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Experimental details. The
newly completed field tests, known as interoperability
experiments, show that this new approach in
coupling models works as envisioned. For instance,
ESMF enables an NSF-NASA atmosphere model to
ingest conventional and satellite observations
from NCEP’s data analysis system. The
coupling then produces global temperature and
wind outputs similar to those from NCEP’s
operational coupled models. Although most of
the experiments would require exhaustive tuning
and validation to be scientifically sound,
they already show that ESMF can be used to
assemble coupled applications quickly, easily,
and with technical accuracy.
“These interoperability experiments
illustrate the role ESMF can play in integrating
the national Earth science resources,” da
Silva said. “Using existing data assimilation
technology from NCEP, the finite-volume Community
Atmosphere Model, or fvCAM, was able to ingest
conventional and satellite observations, a
capability that could open the door to using
the fvCAM for weather as well as climate prediction.” The
fvCAM, which includes land surface capabilities,
was developed by NCAR, with key components
from GSFC.
The second experiment again uses NCEP’s
data assimilation technology but this time
couples it with the Aries atmosphere model
originally developed by the NASA Seasonal-to-Interannual
Prediction Project. Aries is typically also
coupled with an ocean model to run experimental
forecasts of phenomena such as El Niño
and its effects on precipitation. Because they
both use ESMF, these two interoperability experiments
enable the intercomparison of systems for satellite
data assimilation.
The third experiment, combining a GFDL atmosphere-land-ice
model with an MIT ocean-sea ice model (known
as MITgcm), may ultimately bring new insights
into ocean uptake of carbon dioxide and other
important atmospheric gases and how this process
affects the climate.
In an early independent adoption of ESMF technology,
UCLA researchers have successfully coupled
their Atmospheric General Circulation Model
to the MITgcm for the first time and inserted
ESMF into an existing coupling of their model
to the LANL Parallel Ocean Program model. They
made experimental predictions of the El Niño/Southern
Oscillations with the coupled models using
initial states provided by JPL’s Estimating
the Circulation and Climate of the Ocean (ECCO)
project. These preliminary results validate
ESMF performance in terms of scientific fidelity,
thereby demonstrating the software’s
ability to serve in a production modeling system.
Scientists can then use the ESMF-enabled couplings
to compare the forecasting skills between different
model combinations. The results also support
the importance of ECCO products for improving
short-term climate forecasts.
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Image
to left: In an early independent
adoption of ESMF technology,
University of California,
Los Angeles (UCLA) researchers
have coupled their atmosphere
model to two ocean models.
This result is from a simulation
using a Los Alamos National
Laboratory (LANL) ocean model.
The visualization shows the
stress of sea surface winds
on the ocean; this stress
influences the ocean’s
circulation (Image credit:
Joe Spahr, C. Roberto Mechoso,
UCLA; Phil Jones, LANL; Shujia
Zhou, Northrop Grumman IT/GSFC).
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Spreading the word. Demonstrations
of the software and the field tests took place
at the 4th ESMF Community Meeting, held at
MIT in July. It attracted more than 100 attendees
from the United States and several other countries.
This year’s meeting kicked off with the
first ESMF on the Grid Workshop on July 20.
Shujia Zhou of the CT Project and Northrop
Grumman IT, Chris Hill of MIT, and Cecelia
DeLuca of NCAR organized the workshop. The
event included presentations on grid software
and grid implementations of ESMF and other
Earth and space science software frameworks.
The Community Meeting’s main session
on July 21 demonstrated the maturation ESMF
has undergone over the past year. CT Project
Manager Jim Fischer noted that ESMF “is
graduating from NASA development funding to
multi-agency coordinated funding.”On
the technical front, ESMF now allows concurrent
execution of models, as explained by NCAR’s
Nancy Collins. This capability enables ensemble
forecasting: running multiple models with slightly
different starting conditions. In addition
to the field tests, presenters from GFDL, MIT,
the Naval Research Laboratory, NCAR, and NCEP
detailed efforts to replace their organizations’ coupling
software with ESMF. Max Suarez of GSFC described
development of the GEOS-5 atmosphere model,
the first model completely implemented with
ESMF. As related by Don Anderson of NASA Headquarters,
GEOS-5 and two other NASA models are being
tested for hurricane forecasting in the Florida
State University Superensemble. The Community
Meeting concluded on July 22 with a hands-on
tutorial and an industry partners forum.
Reaching beyond the NASA-funded partnership,
the ESMF development team distributes the software
to the scientific community via the Internet.
NCAR, home of the core implementation team, released
ESMF Version 2.2.0 on July 13.
http://ct.gsfc.nasa.gov/
http://www.nasa.gov/centers/goddard/news/topstory/2005/esmf.html |