DEVELOPMENT OF A NEW RADIATION SCHEME FOR THE GLOBAL ATMOSPHERIC NWP MODEL

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P1.66 DEVELOPMENT O A NEW RADIATION SCHEME OR THE GLOBAL ATMOSPHERIC NWP MODEL Shigeki MURAI, Syoukichi YABU and Hiroto ITAGAWA Japan Meteorological Agency, Tokyo, JAPAN 1 INTRODUCTION A radiation scheme plays an important role in global atmospheric models. As not only its accuracy but also its computing efficiency is important, Japan Meteorological Agency (JMA) developed a more accurate and efficient radiation scheme for a global atmospheric model, as a part of the RR2 project funded by MEXT (Ministry of Education, Culture, Sports, Science and Technology). 2 CHANGES IN LONGWAVE RADIATION SCHEME 2.1 Outline of changes The following refinements were carried out based on Chou et al. (1), in order to calculate radiative flux accurately both in the troposphere and in the stratosphere. irst refinement is on calculation method of transmittance for line absorption. -distribution method and table look-up method are newly used instead of statistical band model. Secondly, treatment of water vapor continuum is revised. Parameterization used in the previous scheme is based on Roberts et al. (1976) which tekes account of only self broadening (e-type) absorption. In the new scheme, effect of foreign broadening (P-type) absorption is introduced based on Zhong and Haigh (1995). Variation of absorption coefficient due to water vapor mass change is also considered. Thirdly, longwave spectrum is divided into 9 bands instead of previous 4 bands. Radiative flux is calculated in each band separately, in order to improve accuracy of band-averaged transmittance. In addition, water vapor absorption are taken into account in entire longwave spectrum. Effects of absorption by trace gases such as CH 4, N 2 O and 3 CCs are also introduced. igure 1 shows spectral ranges for these bands and absorbers involved in each band. Corresponding author address: Shigeki MURAI, Japan Meteorological Agency, 1-3-4 Otemachi, Chiyoda-ku, Tokyo -8122, JAPAN; e-mail: murai@ met.kishou.go.jp 2.2 -distribution method Transmittance in most of spectral bands are calculated by k-distribution method which has advantage of computing efficiently. The basic assumption of this method is that an integration over wavenumber ν can be replaced by an integration over the absorption coefficient k, for a narrow spectral interval where the Planck function can be considered almost constant. If the normalized probability distribution function for k is given by f (k), transmittance can be expressed by T = = 0 1 0 [ f (k) exp k u [ exp k (g) u ] dk ] dg, (1) where u is absorber amount, 1/ is diffusivity factor, and g (k) is a cumulative probability density function. This integration can be replaced by a finite sum of exponential terms. Considering a homogeneous atmosphere in a spectral band, transmittance is expressed as [ T (p, θ, u) = exp k ] n (p, θ) u g n, (2) where g n n is a cumulative probability density function weighted by the Planck function. or calculation for a nonhomogeneous atmospheric path, a pressure scaling method is adopted. We introduce scaled absorber amount defined by ( ) p m ũ = h ( θ ), θ r du, (3) p r where p r and θ r are the reference pressure and temperature, m is an empirical constant, and h (θ, θ r ) is temperature scaling factor given by h (θ, θ r ) = 1 + α (θ θ r ) + β (θ θ r ) 2, (4) where α and β are regression coefficients. Using this scaling method, a nonhomogeneous atmosphere is regarded as a homogeneous atmosphere with pressure p r, temperature θ r and absorber amount ũ.

Band Number H 2 O (Line) H 2 O (Continuum) CO 2 O 3 CH 4 N 2 O CC-11 CC-12 HCC-22 25 340 540 800 980 11215 1380 1 0 cm 1 1 2 3 3a 3b 3c 4 5 6 7 8 9 6 7 T T T C C C C C C C C C T (T) T (T) ig. 1. Longwave spectral bands and absorbers. Letters in the figure represent methods for calculating transmittance; : k-distribution method, T: table look-up method, C: parameterization of water vapor continuum absorption. Absorptions by ozone noted as (T) mean that these effects are included in the 5th band. 2.3 Table look-up method -distribution method described above is a very efficient method, but its accuracy in the upper stratosphere is not enough because pressure scaling technique cannot deal with effects of Doppler absorption adequately. In order to compute transmittance in the upper stratosphere accurately, a pre-computed table look-up technique is used for spectral bands where radiative cooling in the stratosphere is significant. Transmittance in a homogeneous layer is calculated in advance for some combinations of pressure, temperature and absorber amount by line-by-line method. Temperature dependency is expressed in a form of quadratic fit. Transmittance is given by T (p, θ, u) = A (p, u) + B (p, u) (θ 2) + C (p, u) (θ 2) 2. (5) Coefficients of the tables (A, B, C) are determined using HITRAN0 (Rothman et al. 3) as a line parameter database and (Clough et al. 1992, Clough and Iacono 1995) as a line-by-line model. Transmittance in a nonhomogeneous layer with pressure and temperature varying with height is computed as a homogeneous layer with an effective pressure and temperature defined by p eff = p du θ du, θ eff =, (6) du du where u is the absorber amount. 2.4 Parameterization of water vapor continuum absorption Parameterization of water vapor continuum absorption is based on Zhong and Haigh (1995). Optical depth by water vapor continuum in a spectral band is described as τ c = k e (ue) ue + k P ( u (p e) ) u (p e), (7) where ue and u (p e) are scaled wator vapor mass for e- type and P-type absorption respectively, defined as ue = e f e ( θ ) du (8) u (p e) = (p e ) f P ( θ ) du. (9) In the equations above, e and p are water vapor partial pressure and total pressure respectively, f e and f P represent temperature dependency described as [ ( f e (θ) = exp Θ 1 θ )] 296 (10) f P (θ) = 296 θ, (11) where θ is temperature in, Θ is a constant defined for each spectral band using CD model (Clough et al. 1989). k e and k P are absorption coefficients when temperature is 296 and are functions of scaled water vapor mass. These are fit by k e = a e 1 + ce ue 1 + b e ue +de, k P = a P 1 + cp u (p e) 1 + b P u (p e) +dp, (12) where a e, b e, c e, d e, a P, b P, c P and d P are fitting parameters determined by comparison with calculation by MT-CD model. An example of fitting is shown in igure 2.

2 ABSORPTION COEICIENT [cm**2/g] (e-type,band 2) MT-CD 165*(1+10*x)/(1+230*x)+75 WITH e- & P-type WITH e-type ONLY 1 0 0 0.05 0.1 0.15 0.2 0.25 0.3 SCALED WATER VAPOR MASS [g/cm**2] 0-2.5-2 -1.5-1 -0.5 0 [/day] ig. 2. Absorption coefficient for e-type absorption in the 2nd band. Results by MT-CD model ( ) and by fitting (solid line) are shown. Abscissa represents scaled water vapor mass divided by 1013 hpa. ig. 3. Heating rate by longwave radiation for midlatitude summer profile. Results by calculation with ( ) and without ( ) P-type absorption and line-by-line method (solid line) are shown. (a) 3 CHANGES IN SHORTWAVE RADIATION SCHEME Shortwave scattering and absorption are modeled by a two-stream formulation using the delta-eddington approximation. Absorptions by O 3, CO 2 and O 2 are refined in order to improve forecast for temperature in the stratosphere based on reidenreich and Ramaswamy (1999). or O 3 absorption, the number of spectral bands is increased from 8 to 15 and we use newer absorption cross section data. or CO 2 and O 2, absorption bands are added. All absorptions in near-infrared spectrum for CO 2 and absorption in Schumann-Runge band in the ultraviolet spectrum for O 2 are taken into account. In addition, optical depth parameterization is also refined. Although the old scheme does not express variation of absorption coefficient with height sufficiently, the new scheme is able to take account of this effect more adequately. These changes will be more important when the uppermost level in the model will be higher to the mesosphere in the near future. 4 CHARACTERISTIC O THE SCHEME igure 3 shows the effect of P-type absorption to heating rate by longwave radiation. Calculation which takes account of only e-type absorption ( ) overestimates radiative cooling in the lower troposphere and underestimates that in the upper troposphere. With the effect of P-type absorption, calculated cooling rate profile is quite similar to the line-by-line calculation. 1 3 5 10 30 (b) 0 0-10 -8-6 -4-2 0 [/day] NEW SCHEME OLD SCHEME NEW SCHEME OLD SCHEME ig. 4. -2.5-2 -1.5-1 -0.5 0 [/day] Heating rate by longwave radiation for midlatitude summer profile. (b) below hpa. (a) Above hpa, igure 4 shows the longwave heating rate profiles calculated for the midlatitude summer profile. The old scheme underestimates the cooling around the stratopause (near 1hPa), and the new scheme reduces the error (igure 4(a)). This changes were brought mainly by taking account of the Doppler absorption effect properly. Heating rate profiles for

the troposphere are shown in igure 4(b). The old scheme underestimates the cooling in the middle troposphere and overestimates that near the surface. These errors are reduced by the revision of transmittance calculation of water vapor line absorptions and the introduction of P-type conitinuum absorption. 5 ORECAST PERORMANCE O THE MODEL igure 6 shows vertical profile of temperature bias against sonde observations at the Northern hemisphere ( N 90 N) in August 4. Colored lines in the figure represent errors for each forecast time (T00 216 hours). It is obvious that the new scheme improves temperature forecast in the stratosphere. In the troposphere, bias near, hpa and the surface are reduced. In addition, though bias near the surface is increased at the beginning of forcast with the old scheme, the new scheme almost reduces this characteristic. This means that imbalance between initial field and forecast field is reduced. 10 Error Prof. of t against SONDE New Radiation T=0 SchemeT=96 Period: 4 08/01 T=24-4 08/31 T=1 T=48 T=144 Test:Rad3T213Aug T=72 Cntl:test040825 T=168 BIAS TEST N.H BIAS CNTL N.H T=192 T=216 T=0 T=24 T=48 T=72 RMSE TEST - C ig. 5. Error in downward longwave radiative flux at the surface against SRB. Unit is W/m 2. Upper panel is for old scheme, lower is for new scheme. igure 5 shows a difference in downward longwave radiative flux at the surface between forecasts and the Surface Radiation Budget (SRB). We used averages of SRB data from 1984 to 1994 as a verifying climatology. The old scheme underestimates the downward longwave flux at the surface over the nearly whole globe. lux expressed by the new scheme increases especially over the tropical region and over land. A difference between forecasts and SRB is smaller than 10 W/m 2 over most area. [S.H.] [Tropics] 0 800 0 BIAS TEST Trop. BIAS CNTL Trop. RMSE TEST - C 10 ig. 6. Vertical profile of temperature bias against sonde observations at the Northern hemisphere ( N 90 N) in August 4. Left panel is by the new scheme, right is by the old scheme. Each line represents bias for forecast time from T00 to T216 hours. 0 6 SUMMARY JMA 800 developed a more accurate and efficient radiation scheme for a global atmospheric model. 0 In this new radiation scheme, a longwave spectrum is divided into 9 BIAS TEST S.H BIAS CNTL S.H RMSE TEST - C bands. 10 Considering a trade-off between accuracy and efficiency, gaseous transmittance is computed using three different approaches depending on the absorber and the spectral band. These are a k-distribution method and a precomputed table look-up method for line absorption, and a parameterization for water vapor continuum absorption. Effects of absorption by trace gases are also introduced. In 0 800 0

addition to above changes in the longwave scheme, the parameterization of absorption coefficient is refined in the new shortwave scheme. By taking account of the Doppler absorption effect properly, errors in longwave cooling around the stratopause are reduced. Errors in cooling of the troposphere are also reduced by improvement of transmittance calculation of line absorption and introduction of P-type absorption of water vapor continuum. Accuracy of downward longwave flux at the ground expressed with the new scheme is also improved. A difference between forecasts and data derived from satellite observations is less than 10 W/m 2 over most area. emissivity parameterization for water vapor cooling rate calculations. J. Atmos. Sci., 52, 124 138. REERENCES Chou, M. D., M. J. Suarez, X. Z. Liang and M. M.-H. Yan, 1: A thermal infrared radiation parameterization for atmospheric studies. Technical report series on global modeling and data assimilation Volume 19, NASA Goddard Space light Center. Clough, S. A. and M. J. Iacono, 1995: Line-by-line calculation of atmospheric fluxes and cooling rates II: Application to carbon dioxide, ozone, methane, nitrous oxide, and the halocarbons. J. Geophys. Res.,, 16519 16535. Clough, S. A., M. J. Iacono and J.-L. Moncet, 1992: Lineby-line calculations of atmospheric fluxes and cooling rates: Application to water vapor. J. Geophys. Res., 97, 15761 15785. Clough, S. A.,. X. neizys and R. W. Davies, 1989: Line shape and the water vapor continuum. Atmos. Res., 23, 229 241. reidenreich, S. M. and V. Ramaswamy, 1999: A new multiple-band solar radiative parameterization for general circulation models. J. Geophys. Res., 104, 31389 31409. Rothman, L. S., A. Barbe, D. C. Benner, L. R. Brown, C. Camy-Peyret, M. R. Carleer,. Chance, C. Clerbaux, V. Dana, V. M. Devi, A. ayt, J.-M. laud, R. R. Gamache, A. Goldman, D. Jacquemart,. W. Jucks, W. J. Lafferty, J.-Y. Mandin, S. T. Massie, V. Nemtchinov, D. A. Newnham, A. Perrin, C. P. Rinsland, J. Schroeder,. M. Smith, M. A. H. Smith,. Tang, R. A. Toth, J. Vander Auwera, P. Varanasi and. Yoshino, 3: The HITRAN molecular spectroscopic database: edition of 0 including updates through 1. J. Quant. Spectrosc. Radiat. Transfer, 82, 5 44. Zhong, W. and J. D. Haigh, 1995: Improved broadband