AMIP Interpolator

Modules and associated files in the amip_interp directory. More...

Modules
	amip_interp_mod
	Provides observed sea surface temperature and ice mask data sets that have been interpolated onto your model's grid.

Detailed Description

Modules and associated files in the amip_interp directory.

amip_interp.rey_oi

Information for the use of the monthly NMC SST analyzed fields

(This file was edited for the Flexible Modeling System on July 26, 1999)The monthly optimum interpolation (OI) fields are derived by a linear interpolation of the weekly OI fields to daily fields then averaging the daily values over a month. The monthly fields are in the same format and spatial resolution as the weekly fields.The OI sea surface temperature (SST) analysis is produced weekly on a one-degree grid. The analysis uses in situ and satellite SST's plus SST's simulated by sea-ice cover. Before the analysis is computed, the satellite data is adjusted for biases using the method of Reynolds (1988) and Reynolds and Marsico (1993). A description of the OI analysis can be found in Reynolds and Smith (1994). The bias correction improves the large scale accuracy of the OI. Examples of the effect of recent corrections is given by Reynolds (1993).For the more recent period, 1990-present, the in situ data were obtained from radio messages carried on the Global Telecommunication System. The satellite observations were obtained from operational data produced by the National Environmental Satellite, Data and Information Service (NESDIS).During the period 1981-1989, the in situ data were obtained from the Comprehensive Ocean Atmosphere Data Set (COADS) for the 1980s. These data (see Slutz, et al., 1985, and Woodruff, et al., 1993) consist of logbook and radio reports. The satellite data were obtained from analyses of NESDIS data produced at the University of Miami's Rosentiel School of Marine and Atmospheric Sciences.The OI analysis is done over all ocean areas. There is no analysis over land. The land values are filled by a Cressman interpolation to produce a complete grid for possible interpolation.

                  REFERENCES

Reynolds, R. W., 1988: A real-time global sea surface temperature analysis. J. Climate, 1, 75-86.Reynolds, R. W., 1993: Impact of Mount Pinatubo aerosols on satellite-derived Sea Surface Temperatures. J. Climate, 6, 768-774.Reynolds, R. W. and D. C. Marsico, 1993: An improved real-time global sea surface temperature analysis. J. Climate, 6, 114-119.Reynolds, R. W. and T. M. Smith, 1994: Improved global sea surface temperature analyses using optimum interpolation. J. Climate, 7, 929-948.Slutz, R. J., S. J. Lubker, J. D. Hiscox, S. D. Woodruff, R. L. Jenne, D. H. Joseph, P. M. Steuer, J. D. Elms, 1985: Comprehensive Ocean-Atmosphere Data Set: Release 1. NOAA Environmental Research Laboratory, Boulder, CO, 268 pp.Woodruff, S.D., S. J. Lubker, K. Wolter, S.J. Worley, and J.D. Elms, 1993: Comprehensive Ocean-Atmosphere Data Set (COADS) Release 1a: 1980-1992. Earth System Monitor, Vol. 4, No. 1, September 1993, NOAA.Richard W. Reynolds (INTERNET: rreyn.nosp@m.olds.nosp@m.@sun1.nosp@m..wwb.nosp@m..noaa.nosp@m..gov) Diane C. Stokes (INTERNET: dstok.nosp@m.es@s.nosp@m.un1.w.nosp@m.wb.n.nosp@m.oaa.g.nosp@m.ov)Climate Modeling Branch W/NP24 Environmental Modeling Center National Centers for Environmental Prediction World Weather Building, Room 807 5200 Auth Road Camp Springs, MD 20746 USAPHONE: (301) 763-8396 FAX: (301) 763-8125UPDATED: 29 November 1995