Optimized Wavelength Sampling for Thermal Radiative Transfer in Numerical Weather Prediction Models

被引:3
|
作者
de Mourgues, Michael [1 ]
Emde, Claudia [1 ,2 ]
Mayer, Bernhard [1 ,2 ]
机构
[1] Ludwig Maximilians Univ LMU, Meteorol Inst, D-80333 Munich, Germany
[2] Inst Phys Atmosphare, Deutsch Zent Luft und Raumfahrt, Oberpfaffenhofen, D-82234 Wessling, Germany
关键词
simulated annealing; radiative transfer; numerical weather prediction; thermal infrared; gas absorption; earth's atmosphere; heating rates; LIBRADTRAN SOFTWARE PACKAGE; SCHEME;
D O I
10.3390/atmos14020332
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the thermal spectral range, there are millions of individual absorption lines of water vapor, CO2, and other trace gases. Radiative transfer calculations of wavelength-integrated quantities, such as irradiance and heating rate, are computationally expensive, requiring a high spectral resolution for accurate numerical weather prediction and climate modeling. This paper introduces a method that could highly reduce the cost of integration in the thermal spectrum by employing an optimized wavelength sampling method. Absorption optical thicknesses for various trace gases were calculated from the HITRAN 2012 spectroscopic dataset using the ARTS line-by-line model as input to a fast Schwarzschild radiative transfer model. Using a simulated annealing algorithm, different optimized sets of wavelengths and corresponding weights were identified, which allowed for accurate integrated quantities to be computed as a weighted sum, reducing the computational time by several orders of magnitude. For each set of wavelengths, a lookup table, including the corresponding weights and absorption cross-sections, is created and can be applied to any atmospheric setups for which it was trained. We applied the lookup table to calculate irradiances and heating rates for a large set of atmospheric profiles from the ECMWF 91-level short-range forecast. Ten wavelength nodes are sufficient to obtain irradiances within an average root mean square error (RMSE) of upward and downward radiation at any height below 1 Wm(-2) while 100 wavelengths allowed for an RSME of below 0.05 Wm(-2). The applicability of this method was confirmed for irradiances and heating rates in clear conditions and for an exemplary cloud at 3.2 km height. Representative spectral gridpoints for integrated quantities in the thermal spectrum (REPINT) is available as absorption parameterization in the libRadtran radiative transfer package, where it can be used as an efficient molecular absorption parameterization for a variety of radiative transfer solvers.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Parameterisation of sea and lake ice in numerical weather prediction models of the German Weather Service
    Mironov, Dmitrii
    Ritter, Bodo
    Schulz, Jan-Peter
    Buchhold, Michael
    Lange, Martin
    Machulskaya, Ekaterina
    TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 2012, 64
  • [42] Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study
    Oyola, Mayra, I
    Campbell, James R.
    Xian, Peng
    Bucholtz, Anthony
    Ferrare, Richard A.
    Burton, Sharon P.
    Kalashnikova, Olga
    Ruston, Benjamin C.
    Lolli, Simone
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (01) : 205 - 218
  • [43] Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System
    Rontu, Laura
    Gleeson, Emily
    Martin Perez, Daniel
    Nielsen, Kristian Pagh
    Toll, Velle
    ATMOSPHERE, 2020, 11 (02)
  • [44] Evaluation of convective cloud microphysics in numerical weather prediction models with dual-wavelength polarimetric radar observations: methods and examples
    Koecher, Gregor
    Zinner, Tobias
    Knote, Christoph
    Tetoni, Eleni
    Ewald, Florian
    Hagen, Martin
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2022, 15 (04) : 1033 - 1054
  • [45] Radiative transfer over resolved topographic features for high-resolution weather prediction
    Manners, J.
    Vosper, S. B.
    Roberts, N.
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2012, 138 (664) : 720 - 733
  • [46] On the numerical prediction of radiative heat transfer for thermoset automated fiber placement
    Hoermann, P.
    Stelzl, D.
    Lichtinger, R.
    Van Nieuwenhove, S.
    Carro, G. Mazon
    Drechsler, K.
    COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2014, 67 : 282 - 288
  • [47] Objective identification of thunderstorm gust fronts in numerical weather prediction models for fire weather forecasting
    Bresch, James F.
    Powers, Jordan G.
    Schwartz, Craig S.
    Sobash, Ryan A.
    Coen, Janice L.
    INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2021, 30 (07) : 513 - 535
  • [48] Improved discretization of the wavelength derivative term in CMF operator splitting numerical radiative transfer
    Hauschildt, PH
    Baron, E
    ASTRONOMY & ASTROPHYSICS, 2004, 417 (01) : 317 - 324
  • [49] Improved discretization of the wavelength derivative term in CMF operator splitting numerical radiative transfer
    Hauschildt, P.H.
    Baron, E.
    Astronomy and Astrophysics, 1600, 417 (01): : 317 - 324
  • [50] Improving optical atmospheric propagation models with numerical weather prediction and lidar
    Hammel, Steve
    Flagg, David
    Oyola, Mayra I.
    Hallenborg, Eric
    Campbell, James R.
    LASER COMMUNICATION AND PROPAGATION THROUGH THE ATMOSPHERE AND OCEANS VII, 2018, 10770