Abstract:
CCSM coupled model is based on a framework which divides the complete climate system into component models connected by a coupler. This design requires four component models -- atmosphere, sea-ice, land, and ocean -- each connected to the Coupler, and each exchanging data with the Coupler only.
The latm6 Observational Data Atmosphere Model functions as the atmosphere component in a CCSM ... configuration. The latm6 atmosphere component interacts with the Coupler just like any atmosphere model would, but it is not an active model, rather, it takes atmosphere data from input data files and sends it to the Coupler, ignoring any forcing data received from the Coupler. Typically the input data files contain climatological or time averaged observational data, although some data fabrication is usually necessary as it's unlikely that real world observations exists for all the required fields. Such a "dummy" atmosphere model is useful for doing ocean + ice spinup runs.
This latm code is a variant of the datm code, the difference being that the datm cycles thru daily average data fields normally created by the CCSM active atmosphere component (CCM, now called CAM), while the latm6 cycles thru data from other sources (for example NCEP). The latm cycles thru separate data file streams for atmospheric states, precipitation, and radiation. Further, these three data streams can have different sampling intervals, for example, radiation data can be daily average data while precipitation data is monthly average data.
The CCSM Observational Data Atmosphere Model, version 6.0 (latm6), was released in June 2004, as part of the CCSM3.0 release.
Description:
The Observational Data Atmosphere Model (latm) is available as part of the Community Climate System Model (CCSM) from the Earth System Grid.
Description:
The CCSM3.0 coupled model, released in June, 2004, provides the community with a coupled model framework for carrying out climate simulations. Upgrades from CCSM2.0.1 release can be found in the Introduction section of the Users Guide CCSM coupled model is based on a framework which divides the complete climate system into component models connected by a coupler. This design requires four component models -- atmosphere, land, ocean, and sea-ice -- each connected to the coupler, and each exchanging data with the coupler only. From a software engineering point of view, the CCSM is not a particular climate model, but a framework for building and testing various climate models for various applications. In this sense, more than any particular component model, the coupler defines the high-level design of CCSM software.
Name:
NCAR COMMUNITY CLIMATE SYSTEM MODEL
Email:
ccsm at ucar.edu
Contact Address:
Climate and Global Dynamics Division
National Center for Atmospheric Research
P.O. Box 3000 City:
Boulder
Province or State:
CO
Postal Code:
80307-3000
Country:
USA
Distribution Media
Distribution_Media:
online
Fees:
none
Personnel
NCAR COMMUNITY CLIMATE SYSTEM MODEL Role:
TECHNICAL CONTACT
Email:
ccsm at ucar.edu
Contact Address:
Climate and Global Dynamics Division
National Center for Atmospheric Research
P.O. Box 3000 City:
Boulder
Province or State:
CO
Postal Code:
80307-3000
Country:
USA
Publications/References
Bae, S. and B.E. Schutz. 2002. Precision attitude determination (PAD). GLAS algorithm theoretical basis document. Version 2.2. Austin, TX: Center for Space Research, University of Texas at Austin.
Brenner, A.C., C.R. Bentley, B.M. Csatho, D.J. Harding, M.A. Hofton, J. Minster, L. Roberts, J.L. Saba, R. Schutz, R.H. Thomas, D. Yi, and H.J. Zwally. 2000. Derivation of range and range ... distributions from laser pulse waveform analysis for surface elevations, roughness, slope, and vegetation heights. Algorithm theoretical basis document. Version 3.0. Greenbelt, MD: Goddard Space Flight Center.
Davis C.H. and H.J. Zwally. 1993. Geographic and seasonal variations in the surface properties of the ice sheets by satellite radar altimetry. Journal of Glaciology 39:687-697.
Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) Systems and Operations Concept. Greenbelt, MD: Goddard Space Flight Center.
Farrell, W.E. 1972. Deformation of the Earth by surface loads. Review of Geophysics and Space Physics 10: 761-797.
GLAS Science Team. 2000. Mission Operations Requirement Document (MORD) for the Ice, Cloud and Land Elevation Satellite (ICESat) Mission. Greenbelt, MD: Goddard Space Flight Center.
GLAS Science Team. 1997. GLAS Science Requirements. Version 2.01. Greenbelt, MD: Goddard Space Flight Center.
Heroux, D. 2000. Progress report on GLAS interface effort with ECS NOSE. Rev. 29 December 2000. Landover, MD: Emergent-IT/Raytheon.
Herring, T.A. and K. Quinn. 1999. Atmospheric delay correction to GLAS laser altimeter ranges. GLAS algorithm theoretical basis document. Version 1.0. Lanham, MD: Science Systems and Applications, Inc.
Jester, P., and D. Hancock. 2002. The Algorithm Theoretical Basis Document for Level 1A Processing, Version 1.2. Wallops Island, VA: Raytheon ITSS.
Jester, P., and J. Lee. 2002. GLAS standard data products specification - level 1. Version 6.0. Wallops Island, VA : Raytheon ITSS. Lee, J. 2002. GSAS user's guide: Version 4.0. Wallops Island, VA: Raytheon ITSS.
McGarry, J.F., J. Abshire, X. Sun, J. Saba, A. Brenner, and D. Yi. 2002. GLAS flight science data selection algorithms for the altimeter (1064 nm), Version 4.15. Unpublished report.
Rim, H., and B. Schutz. 2002. Precision orbit determination. GLAS algorithm theoretical basis document. Version 2.2. Austin, TX: Center for Space Research, University of Texas at Austin.
Schutz, B. 2000. GLAS altimeter post-launch calibration/validation plan. Version 0.99. Austin, TX: Center for Space Research, University of Texas at Austin.
Schutz, B. 2002. Laser footprint location (geolocation) and surface profiles. GLAS algorithm theoretical basis document. Version 3.0. Austin, TX: Center for Space Research, University of Texas at Austin.
Wahr, J., D. Wingham, and C. Bentley. 2000. A method of combining ICESat and GRACE satellite data to constrain Antarctic mass balance. Journal of Geophysical Research 105(B7):16,279-16,294.
Yi, D., J. Minster, and C. Bentley. 1999. Ocean tidal loading corrections. GLAS algorithm theoretical basis document. Version 1.0. Greenbelt, MD: Goddard Space Flight Center.
Zwally, H.J., B. Schutz, W. Abdalati, J. Abshire, C. Bentley, A. Brenner, J. Bufton, J. Dezio, D. Hancock, D. Harding, T. Herring, B. Minster, K. Quinn, S. Palm, J. Spinhirne, and R. Thomas. 2002. ICESAT's laser measurements of polar ice, atmosphere, ocean, and land. Journal of Geodynamics 34: 405-445.
Zwally, H.J., B. Schutz, D. Hancock, and A. Brenner. 2000. ICESat/GLAS Standard Data Products in HDF and SCF Formats. Version 1.2. Greenbelt, MD: Goddard Space Flight Center.
Zwally, H.J., R.A. Bindschadler, A.C. Brenner, T.V. Martin, and R.H. Thomas. 1983. Surface elevation contours of Greenland and Antarctic ice sheets. Journal of Geophysical Research 88(C3):1589-1596.
Creation and Review Dates
SERF Creation Date:
2005-09-12
SERF Last Revision Date:
2012-02-15
Links
