Sea Ice Group
The sea ice group is part of the Marine Modeling and
Analysis Branch of the Environmental
Modeling Center. Our responsibility, loosely speaking, is ice anywhere
in the world, particularly ice which is floating on water. We start with
remote sensing, analysis, and data assimilation of sea ice information
to obtain the best possible (automated) estimates of current sea ice conditions.
Once we have sea ice conditions, which are of interest in their own right,
we then use the information to improve the weather forecast model(s), and
to run sea ice forecast models.
We emphasize automated regarding our analysis because our work supports
sea ice analysis by the NWS
Alaska Region, and a wide variety of users in the US and world.
These users bring other data sets and methods to the analysis which may
not be automatable, and can result in significant improvements in the final
products relative to the strictly automatic. You may see the current day's
automated analysis at http://polar.ncep.noaa.gov/seaice/Analyses.html.
The 3 times per week Alaska Region analysis is at http://pafc.arh.noaa.gov/ice.php.
After running a daily analysis for a number of days, we start to have
a lengthy period of coverage and start thinking about climatic uses. The
automated analyses are therefore used by some climate groups, both for
analysis and modeling. Our analyses are available from September 1995 to
the present at http://polar.ncep.noaa.gov/seaice/Historical.html,
via anonymous ftp to ftp://polar.ncep.noaa.gov/pub/cdas,
and from 1979 to 1996 (as used by the NCAR/NCEP Climate Reanalysis Project.
1979 to 30 November 1991 was developed by Atsushi Nomura, then at the ECMWF)
in ftp://polar.ncep.noaa.gov/pub/ice/reanl.ice
. Because of interest in the sea ice climatology, climate change, and improving
both sea ice and sea surface temperature analyses, longer time series with
improved (and more consistent) methods will become available in the future.
The automated analysis have been used by the NWS global atmospheric
models for their sea ice conditions since February, 1998. The automated
analysis provides a daily, 1/2 degree resolution in latitude and longitude,
condition for the models as opposed to the former method, which gave a
2 degree condition once per week. During spring and fall, the sea ice edge
can move by 200 km (2 degrees) in a week. The new analysis is capable of
resolving this fact for the weather models.
In addition to knowing where the ice is now, we would like to know where
it is going to be. Sea ice coverage is important for shipping and fishing,
as well as for weather forecast models. To support that effort we are developing
a number of sea ice models. The simplest one, which is surprisingly useful
in operations, is a sea ice drift model. This is currently
operational for 16 day guidance.
The developmental model is a model which predicts sea
ice motion, concentration changes, and ice thickness. While still developmental
it is available only to certain internal users. Once we're satisfied that
the model makes sense, we will make it publicly viewable.
Sea Ice Group Publications
- Selected Peer-reviewed Literature
-
Hines, K. M., R. W. Grumbine, D. H. Bromwich, R. I. Cullather, Surface
Energy Balance of the NCEP MRF and NCEP-NCAR Reanalysis in Antarctic Latitudes
during FROST, Weather and Forecasting, 14, 851-866, 1999.
-
Bromwich, D. H., R. I. Cullather, and R. W. Grumbine, An Assessment of
the NCEP Operational Global Spectral Model Forecasts and Analyses for Antarctica
during FROST, Weather and Forecasting, 14, 835-850, 1999.
-
Randall, D., J. Curry, D. Battisti, G. Flato, R. Grumbine, S. Hakkinen,
D. Martinson, R. Preller, J. Walsh, J. Weatherly, Status of and Outlook
for Large-Scale Modeling of Atmosphere-Ice-Ocean Interactions in the Arctic,
Bull. American Meteorological Society, 79, 197-219, 1998.
-
Grumbine, R. W., Virtual Floe Ice Drift Forecast Model Intercomparison,
Weather and Forecasting, 13, 886-890, 1998.
-
Cullather, R. I., D. H. Bromwich, and R. W. Grumbine, Validation of Operational
Numerical Analyses in Antarctic Latitudes, J. Geophys. Res., 102,
13,761-13,784, 1997.
-
Grumbine, Robert W., NMC Notes: A Sea-ice albedo experiment with the NMC
Medium Range Forecast Model, Weather and Forecasting, 9,
453-456, 1994.
-
Grumbine, Robert W., The thermodynamic predictability of sea ice, J.
Glaciology, 40, 277-282, 1994.
- Online
-
Grumbine, R. W., MMAB C++ Class
Library Descriptions, OMB Tech. Note 186, 2000.
-
Grumbine, R. W., C++ for
Ocean Modeling Branch Consideration, OMB Tech. Note 185, 23 pp.,
2000.
-
Automated Ice Concentration
Analysis, R. W. Grumbine, Technical Procedures Bulletin 440, National
Weather Service, 1997.
-
Sea Ice Drift Guidance,
R. W. Grumbine, Technical Procedures Bulletin 435, National Weather Service,
1997
-
Automated Passive Microwave Sea Ice
Concentration Analysis at NCEP, Robert W. Grumbine, Ocean Modeling
Branch Tech. Note 120, 13 pp., 1996
-
Drift
Verification, Robert W. Grumbine, Ocean Modeling Branch Tech. Note
114, 1996
NCEP.EMC.Seaice@noaa.gov
Last Modified 6 June 2001