Simulation of satellite channel radiances in the Met Office Unified Model

A system is described which allows satellite channel radiances to be simulated within both the numerical weather prediction and climate versions of the Met Office Unified Model. It is based on a spherical harmonics version of the radiation code that calculates radiative fluxes and heating rates in the climate model and it uses the same pre‐processing software and molecular absorption database. In the results shown here, fractional cloud cover is represented by decomposition into separate columns. The methodology is described and results of off‐line tests of the code against high spectral resolution calculations are presented. Examples of infrared window and water vapour channel brightness temperatures simulated using the global forecast model are then compared with Meteosat 7 imagery. The utility of radiance simulations for model validation studies is illustrated by these comparisons, and other applications are also discussed. © Crown copyright, 2003. Royal Meteorological Society

[1]  C. E. Siewert,et al.  A high-order spherical harmonics solution to the standard problem in radiative transfer , 1984 .

[2]  Teruyuki Nakajima,et al.  Algorithms for radiative intensity calculations in moderately thick atmospheres using a truncation approximation , 1988 .

[3]  F. X. Kneizys,et al.  Line shape and the water vapor continuum , 1989 .

[4]  R. West,et al.  THE CORRELATED-k METHOD FOR RADIATION CALCULATIONS IN NONHOMOGENEOUS ATMOSPHERES , 1989 .

[5]  A. Slingo A GCM Parameterization for the Shortwave Radiative Properties of Water Clouds , 1989 .

[6]  P. Rowntree,et al.  A Mass Flux Convection Scheme with Representation of Cloud Ensemble Characteristics and Stability-Dependent Closure , 1990 .

[7]  R. West,et al.  Mapping transformations for broadband atmospheric radiation calculations , 1990 .

[8]  R. Smith A scheme for predicting layer clouds and their water content in a general circulation model , 1990 .

[9]  M. J. P. Cullen,et al.  A conservative split‐explicit integration scheme with fourth‐order horizontal advection , 1991 .

[10]  A. Lacis,et al.  A description of the correlated k distribution method for modeling nongray gaseous absorption, thermal emission, and multiple scattering in vertically inhomogeneous atmospheres , 1991 .

[11]  J. Morcrette Evaluation of Model-generated Cloudiness: Satellite-observed and Model-generated Diurnal Variability of Brightness Temperature , 1991 .

[12]  Q. Fu,et al.  On the correlated k-distribution method for radiative transfer in nonhomogeneous atmospheres , 1992 .

[13]  Franz Schreier,et al.  The Voigt and complex error function: A comparison of computational methods , 1992 .

[14]  M. J. P. Cullen,et al.  The unified forecast/climate model , 1993 .

[15]  W. L. Ridgway,et al.  One-parameter scaling and exponential-sum fitting for water vapor and CO2 infrared transmission functions , 1993 .

[16]  Johannes Schmetz,et al.  Upper tropospheric humidity observations from Meteosat compared with short-term forecast fields , 1994 .

[17]  Hartmut H. Aumann,et al.  Atmospheric Infrared Sounder on the Earth Observing System , 1994 .

[18]  Francis P. Bretherton,et al.  Evaluation of water vapor distribution in general circulation models using satellite observations , 1994 .

[19]  W. Paul Menzel,et al.  Cloud Properties inferred from 812-µm Data , 1994 .

[20]  Y. Sud,et al.  Evaluation of the upper-tropospheric moisture climatology in a general circulation model using TOVS radiance observations , 1995 .

[21]  David P. Kratz,et al.  THE CORRELATED k-DISTRIBUTION TECHNIQUE AS APPLIED TO THE AVHRR CHANNELS , 1995 .

[22]  Johannes Schmetz,et al.  On the calibration of the Meteosat water vapor channel , 1995 .

[23]  Brian J. Soden,et al.  A Satellite Analysis of Deep Convection, Upper-Tropospheric Humidity, and the Greenhouse Effect , 1995 .

[24]  E. Salathe,et al.  Variability of Moisture in the Upper Troposphere As Inferred from TOVS Satellite Observations and the ECMWF Model Analyses in 1989 , 1995 .

[25]  J. M. Edwards Efficient Calculation of Infrared Fluxes and Cooling Rates Using the Two-Stream Equations , 1996 .

[26]  A. Slingo,et al.  Studies with a flexible new radiation code. I: Choosing a configuration for a large-scale model , 1996 .

[27]  Darren L. Jackson,et al.  Interannual variability of upper-troposphere water vapor band brightness temperature , 1996 .

[28]  J. Morcrette,et al.  Direct comparison of meteosat water vapor channel data and general circulation model results , 1997 .

[29]  Wei Yu,et al.  Evaluation of model clouds and radiation at 100 km scale using GOES data , 1997 .

[30]  E. Mlawer,et al.  Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave , 1997 .

[31]  Laurence S. Rothman,et al.  Reprint of: The HITRAN molecular spectroscopic database and HAWKS (HITRAN Atmospheric Workstation): 1996 edition , 1998 .

[32]  Gerald R. North,et al.  Testing climate models : An approach , 1998 .

[33]  J. Crowther,et al.  Investigating k distribution methods for parameterizing gaseous absorption in the Hadley Centre Climate Model , 1999 .

[34]  Qiang Fu,et al.  Parameterization for Cloud Longwave Scattering for Use in Atmospheric Models , 1999 .

[35]  F. Rose,et al.  ACCOUNTING FOR MOLECULAR ABSORPTION WITHIN THE SPECTRAL RANGE OF THE CERES WINDOW CHANNEL , 1999 .

[36]  Spatial Patterns of Climate Variability in Upper-Tropospheric Water Vapor Radiances from Satellite Data and Climate Model Simulations. , 1999 .

[37]  N. B. Ingleby,et al.  The Met. Office global three‐dimensional variational data assimilation scheme , 2000 .

[38]  Stephen J. English,et al.  A comparison of the impact of TOVS arid ATOVS satellite sounding data on the accuracy of numerical weather forecasts , 2000 .

[39]  Kevin I. Hodges,et al.  An Improved Algorithm for Generating Global Window Brightness Temperatures from Multiple Satellite Infrared Imagery , 2000 .

[40]  R. Engelen,et al.  Sampling strategies for the comparison of climate model calculated and satellite observed brightness temperatures , 2000 .

[41]  V. Pope,et al.  The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3 , 2000 .

[42]  David P. Edwards,et al.  Improvements to the correlated‐k radiative transfer method: Application to satellite infrared sounding , 2000 .

[43]  J. Janowiak,et al.  A Real–Time Global Half–Hourly Pixel–Resolution Infrared Dataset and Its Applications , 2001 .

[44]  J. Slingo,et al.  The Diurnal Cycle in the Tropics , 2001 .

[45]  F. Chevallier,et al.  Model Clouds as Seen from Space: Comparison with Geostationary Imagery in the 11-μm Window Channel , 2002 .