Simulation of Clear‐Sky Outgoing Longwave Radiation Over the Oceans Using Operational Analyses

We have developed a system for the Simulation and Analysis of Measurements from Satellites using Operational a Nalyses (SAMSON). In this initial study, simulations of clear-sky outgoing longwave radiation (OLR) over the oceans are compared with data from the Earth Radiation Budget Experiment (ERBE). the calculations were performed with a Malkmus narrow-band radiation scheme, including the effects of all the radiatively important gases. Sea surface temperatures were taken from the National Meteorological Center's blended analyses and ozone data from the NIMBUS-7 Solar Backscatter Ultra Violet experiment. Atmospheric temperatures and humidities came from operational analyses. Parallel simulations were performed with the analyses produced both by the European Centre for Medium-range Weather Forecasts (ECMWF) and by the Meteorological Office. Simulations for the period February 1985 to October 1986 are compared with ERBE data. Differences between the humidity data in the analyses have a significant impact on the calculated clear-sky OLR. the changes to the ECMWF model in May 1985 reduce the differences compared with ERBE. After this time, the differences are consistent with two known systematic errors; a small overestimate in the ERBE data and a tendency for the ECMWF analyses to be too dry in the ITCZ and too moist in the sub-tropics. the simulations with the Meteorological Office's analyses generally show slightly larger differences compared with ERBE. Tests show the sensitivity of the ECMWF results to diurnal sampling of the analyses and to the time resolution employed to calculate the monthly means. These tests reveal instances of extremely low humidities in the ECMWF analyses in the upper troposphere over the tropical east Pacific. Over most of the domain, the simulations are within 5-10 W m−2 of the ERBE data. the clear-sky OLR can thus be computed from operational analyses with an accuracy comparable with that of ERBE. This indicates the potential of such simulations and has implications for the planning of future radiation-budget observations.

[1]  J. Morcrette,et al.  A Modeling Perspective on Cloud Radiative Forcing , 1992 .

[2]  W. Timothy Liu,et al.  Precipitable water and surface humidity over global oceans from special sensor microwave imager and European Center for Medium Range Weather Forecasts , 1992 .

[3]  Paul Pellegrino,et al.  Monitoring the Mt. Pinatubo aerosol layer with NOAA/11 AVHRR data , 1992 .

[4]  G. Stephens,et al.  The Earth's radiation budget and its relation to atmospheric hydrology: 2. Observations of cloud effects , 1991 .

[5]  K. Shine On the Cause of the Relative Greenhouse Strength of Gases such as the Halocarbons , 1991 .

[6]  Man-li C. Wu,et al.  Differences in global data sets of atmospheric and surface parameters and their impact on outgoing longwave radiation and surface downward flux calculations , 1991 .

[7]  Jeffrey T. Kiehl,et al.  Incorporation of the thermal radiative effect of CH4, N2O, CF2Cl2, and CFCl3 into the National Center for Atmospheric Research community climate model , 1991 .

[8]  Robert G. Ellingson,et al.  The intercomparison of radiation codes used in climate models: Long wave results , 1991 .

[9]  Stephen B. Fels,et al.  The simplified exchange method revisited: An accurate, rapid method for computation of infrared cooling rates and fluxes , 1991 .

[10]  B. Barkstrom,et al.  Seasonal variation of cloud radiative forcing derived from the Earth Radiation Budget Experiment , 1990 .

[11]  J. Susskind,et al.  Outgoing long-wave radiation computed from HIRS2/MSU soundings , 1990 .

[12]  Bruce A. Wielicki,et al.  Cloud Identification for ERBE Radiative Flux Retrieval , 1989 .

[13]  Edwin F. Harrison,et al.  Earth Radiation Budget Experiment (ERBE) archival and April 1985 results , 1989 .

[14]  L. Illari The quality of satellite precipitable water content data and their impact on analyzed moisture fields , 1989 .

[15]  C. Long,et al.  Longwave Cloud Radiative Forcing as Determined from Nimbus-7 Observations , 1989 .

[16]  Thomas F. Eck,et al.  Nimbus-7 Global Cloud Climatology. Part II: First Year Results , 1989 .

[17]  Daesoo Han,et al.  Nimbus-7 data product summary , 1989 .

[18]  B. Barkstrom,et al.  Cloud-Radiative Forcing and Climate: Results from the Earth Radiation Budget Experiment , 1989, Science.

[19]  Lennart Bengtsson,et al.  Integration of Space and In Situ Observations to Study Global Climate Change , 1988 .

[20]  J. Duvel Analysis of diurnal, interdiurnal and interannual variations during Northern Hemisphere summers using METEOSAT infrared channels , 1988 .

[21]  Gerald L. Potter,et al.  Exploratory studies of cloud radiative forcing with a general circulation model , 1987 .

[22]  J. Pyle,et al.  The water vapour budget of the stratosphere studied using LIMS and SAMS satellite data , 1986 .

[23]  H. Lee Kyle,et al.  The status of the Nimbus-7 earth-radiation-budget data set , 1985 .

[24]  Bruce R. Barkstrom,et al.  The Earth Radiation Budget Experiment (ERBE). , 1984 .

[25]  W. Rossow,et al.  ISCCP Cloud Data Products , 1991 .

[26]  Richard W. Reynolds,et al.  A Real-Time Global Sea Surface Temperature Analysis , 1988 .