Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP)

<p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-form...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	R. J. Hogan [verfasserIn] M. Matricardi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Übergeordnetes Werk:	In: Geoscientific Model Development - Copernicus Publications, 2009, 13(2020), Seite 6501-6521
Übergeordnetes Werk:	volume:13 ; year:2020 ; pages:6501-6521

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.5194/gmd-13-6501-2020

Katalog-ID:	DOAJ072285427

Internformat


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520			\|a <p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-formula"<<i<N</i<</span< pseudo-monochromatic calculations. Larger <span class="inline-formula"<<i<N</i<</span< means more accuracy and a wider range of gas concentrations can be simulated but at greater computational cost. Unfortunately, the tools to perform this efficiency–accuracy trade-off (e.g. to generate separate CKD models for applications such as short-range weather forecasting to climate modelling) are unavailable to the vast majority of users of radiation schemes. This paper describes the experimental protocol for the Correlated K-Distribution Model Intercomparison Project (CKDMIP), whose purpose is to use benchmark line-by-line calculations: (1) to evaluate the accuracy of existing CKD models, (2) to explore how accuracy varies with <span class="inline-formula"<<i<N</i<</span< for CKD models submitted by CKDMIP participants, (3) to understand how different choices in the way that CKD models are generated affect their accuracy for the same <span class="inline-formula"<<i<N</i<</span<, and (4) to generate freely available datasets and software facilitating the development of new gas-optics tools. The datasets consist of the high-resolution longwave and shortwave absorption spectra of nine gases for a range of atmospheric conditions, realistic and idealized. Thirty-four concentration scenarios for the well-mixed greenhouse gases are proposed to test CKD models from palaeo- to future-climate conditions. We demonstrate the strengths of the protocol in this paper by using it to evaluate the widely used Rapid Radiative Transfer Model for General Circulation Models (RRTMG).</p<
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allfields	10.5194/gmd-13-6501-2020 doi (DE-627)DOAJ072285427 (DE-599)DOAJ183c037baaeb4a4e8302e0c9ad021b00 DE-627 ger DE-627 rakwb eng QE1-996.5 R. J. Hogan verfasserin aut Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-formula"<<i<N</i<</span< pseudo-monochromatic calculations. Larger <span class="inline-formula"<<i<N</i<</span< means more accuracy and a wider range of gas concentrations can be simulated but at greater computational cost. Unfortunately, the tools to perform this efficiency–accuracy trade-off (e.g. to generate separate CKD models for applications such as short-range weather forecasting to climate modelling) are unavailable to the vast majority of users of radiation schemes. This paper describes the experimental protocol for the Correlated K-Distribution Model Intercomparison Project (CKDMIP), whose purpose is to use benchmark line-by-line calculations: (1) to evaluate the accuracy of existing CKD models, (2) to explore how accuracy varies with <span class="inline-formula"<<i<N</i<</span< for CKD models submitted by CKDMIP participants, (3) to understand how different choices in the way that CKD models are generated affect their accuracy for the same <span class="inline-formula"<<i<N</i<</span<, and (4) to generate freely available datasets and software facilitating the development of new gas-optics tools. The datasets consist of the high-resolution longwave and shortwave absorption spectra of nine gases for a range of atmospheric conditions, realistic and idealized. Thirty-four concentration scenarios for the well-mixed greenhouse gases are proposed to test CKD models from palaeo- to future-climate conditions. We demonstrate the strengths of the protocol in this paper by using it to evaluate the widely used Rapid Radiative Transfer Model for General Circulation Models (RRTMG).</p< Geology M. Matricardi verfasserin aut In Geoscientific Model Development Copernicus Publications, 2009 13(2020), Seite 6501-6521 (DE-627)582024102 (DE-600)2456725-5 19919603 nnns volume:13 year:2020 pages:6501-6521 https://doi.org/10.5194/gmd-13-6501-2020 kostenfrei https://doaj.org/article/183c037baaeb4a4e8302e0c9ad021b00 kostenfrei https://gmd.copernicus.org/articles/13/6501/2020/gmd-13-6501-2020.pdf kostenfrei https://doaj.org/toc/1991-959X Journal toc kostenfrei https://doaj.org/toc/1991-9603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 6501-6521
spelling	10.5194/gmd-13-6501-2020 doi (DE-627)DOAJ072285427 (DE-599)DOAJ183c037baaeb4a4e8302e0c9ad021b00 DE-627 ger DE-627 rakwb eng QE1-996.5 R. J. Hogan verfasserin aut Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-formula"<<i<N</i<</span< pseudo-monochromatic calculations. Larger <span class="inline-formula"<<i<N</i<</span< means more accuracy and a wider range of gas concentrations can be simulated but at greater computational cost. Unfortunately, the tools to perform this efficiency–accuracy trade-off (e.g. to generate separate CKD models for applications such as short-range weather forecasting to climate modelling) are unavailable to the vast majority of users of radiation schemes. This paper describes the experimental protocol for the Correlated K-Distribution Model Intercomparison Project (CKDMIP), whose purpose is to use benchmark line-by-line calculations: (1) to evaluate the accuracy of existing CKD models, (2) to explore how accuracy varies with <span class="inline-formula"<<i<N</i<</span< for CKD models submitted by CKDMIP participants, (3) to understand how different choices in the way that CKD models are generated affect their accuracy for the same <span class="inline-formula"<<i<N</i<</span<, and (4) to generate freely available datasets and software facilitating the development of new gas-optics tools. The datasets consist of the high-resolution longwave and shortwave absorption spectra of nine gases for a range of atmospheric conditions, realistic and idealized. Thirty-four concentration scenarios for the well-mixed greenhouse gases are proposed to test CKD models from palaeo- to future-climate conditions. We demonstrate the strengths of the protocol in this paper by using it to evaluate the widely used Rapid Radiative Transfer Model for General Circulation Models (RRTMG).</p< Geology M. Matricardi verfasserin aut In Geoscientific Model Development Copernicus Publications, 2009 13(2020), Seite 6501-6521 (DE-627)582024102 (DE-600)2456725-5 19919603 nnns volume:13 year:2020 pages:6501-6521 https://doi.org/10.5194/gmd-13-6501-2020 kostenfrei https://doaj.org/article/183c037baaeb4a4e8302e0c9ad021b00 kostenfrei https://gmd.copernicus.org/articles/13/6501/2020/gmd-13-6501-2020.pdf kostenfrei https://doaj.org/toc/1991-959X Journal toc kostenfrei https://doaj.org/toc/1991-9603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 6501-6521
allfields_unstemmed	10.5194/gmd-13-6501-2020 doi (DE-627)DOAJ072285427 (DE-599)DOAJ183c037baaeb4a4e8302e0c9ad021b00 DE-627 ger DE-627 rakwb eng QE1-996.5 R. J. Hogan verfasserin aut Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-formula"<<i<N</i<</span< pseudo-monochromatic calculations. Larger <span class="inline-formula"<<i<N</i<</span< means more accuracy and a wider range of gas concentrations can be simulated but at greater computational cost. Unfortunately, the tools to perform this efficiency–accuracy trade-off (e.g. to generate separate CKD models for applications such as short-range weather forecasting to climate modelling) are unavailable to the vast majority of users of radiation schemes. This paper describes the experimental protocol for the Correlated K-Distribution Model Intercomparison Project (CKDMIP), whose purpose is to use benchmark line-by-line calculations: (1) to evaluate the accuracy of existing CKD models, (2) to explore how accuracy varies with <span class="inline-formula"<<i<N</i<</span< for CKD models submitted by CKDMIP participants, (3) to understand how different choices in the way that CKD models are generated affect their accuracy for the same <span class="inline-formula"<<i<N</i<</span<, and (4) to generate freely available datasets and software facilitating the development of new gas-optics tools. The datasets consist of the high-resolution longwave and shortwave absorption spectra of nine gases for a range of atmospheric conditions, realistic and idealized. Thirty-four concentration scenarios for the well-mixed greenhouse gases are proposed to test CKD models from palaeo- to future-climate conditions. We demonstrate the strengths of the protocol in this paper by using it to evaluate the widely used Rapid Radiative Transfer Model for General Circulation Models (RRTMG).</p< Geology M. Matricardi verfasserin aut In Geoscientific Model Development Copernicus Publications, 2009 13(2020), Seite 6501-6521 (DE-627)582024102 (DE-600)2456725-5 19919603 nnns volume:13 year:2020 pages:6501-6521 https://doi.org/10.5194/gmd-13-6501-2020 kostenfrei https://doaj.org/article/183c037baaeb4a4e8302e0c9ad021b00 kostenfrei https://gmd.copernicus.org/articles/13/6501/2020/gmd-13-6501-2020.pdf kostenfrei https://doaj.org/toc/1991-959X Journal toc kostenfrei https://doaj.org/toc/1991-9603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 6501-6521
allfieldsGer	10.5194/gmd-13-6501-2020 doi (DE-627)DOAJ072285427 (DE-599)DOAJ183c037baaeb4a4e8302e0c9ad021b00 DE-627 ger DE-627 rakwb eng QE1-996.5 R. J. Hogan verfasserin aut Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-formula"<<i<N</i<</span< pseudo-monochromatic calculations. Larger <span class="inline-formula"<<i<N</i<</span< means more accuracy and a wider range of gas concentrations can be simulated but at greater computational cost. Unfortunately, the tools to perform this efficiency–accuracy trade-off (e.g. to generate separate CKD models for applications such as short-range weather forecasting to climate modelling) are unavailable to the vast majority of users of radiation schemes. This paper describes the experimental protocol for the Correlated K-Distribution Model Intercomparison Project (CKDMIP), whose purpose is to use benchmark line-by-line calculations: (1) to evaluate the accuracy of existing CKD models, (2) to explore how accuracy varies with <span class="inline-formula"<<i<N</i<</span< for CKD models submitted by CKDMIP participants, (3) to understand how different choices in the way that CKD models are generated affect their accuracy for the same <span class="inline-formula"<<i<N</i<</span<, and (4) to generate freely available datasets and software facilitating the development of new gas-optics tools. The datasets consist of the high-resolution longwave and shortwave absorption spectra of nine gases for a range of atmospheric conditions, realistic and idealized. Thirty-four concentration scenarios for the well-mixed greenhouse gases are proposed to test CKD models from palaeo- to future-climate conditions. We demonstrate the strengths of the protocol in this paper by using it to evaluate the widely used Rapid Radiative Transfer Model for General Circulation Models (RRTMG).</p< Geology M. Matricardi verfasserin aut In Geoscientific Model Development Copernicus Publications, 2009 13(2020), Seite 6501-6521 (DE-627)582024102 (DE-600)2456725-5 19919603 nnns volume:13 year:2020 pages:6501-6521 https://doi.org/10.5194/gmd-13-6501-2020 kostenfrei https://doaj.org/article/183c037baaeb4a4e8302e0c9ad021b00 kostenfrei https://gmd.copernicus.org/articles/13/6501/2020/gmd-13-6501-2020.pdf kostenfrei https://doaj.org/toc/1991-959X Journal toc kostenfrei https://doaj.org/toc/1991-9603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 6501-6521
allfieldsSound	10.5194/gmd-13-6501-2020 doi (DE-627)DOAJ072285427 (DE-599)DOAJ183c037baaeb4a4e8302e0c9ad021b00 DE-627 ger DE-627 rakwb eng QE1-996.5 R. J. Hogan verfasserin aut Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP) 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-formula"<<i<N</i<</span< pseudo-monochromatic calculations. Larger <span class="inline-formula"<<i<N</i<</span< means more accuracy and a wider range of gas concentrations can be simulated but at greater computational cost. Unfortunately, the tools to perform this efficiency–accuracy trade-off (e.g. to generate separate CKD models for applications such as short-range weather forecasting to climate modelling) are unavailable to the vast majority of users of radiation schemes. This paper describes the experimental protocol for the Correlated K-Distribution Model Intercomparison Project (CKDMIP), whose purpose is to use benchmark line-by-line calculations: (1) to evaluate the accuracy of existing CKD models, (2) to explore how accuracy varies with <span class="inline-formula"<<i<N</i<</span< for CKD models submitted by CKDMIP participants, (3) to understand how different choices in the way that CKD models are generated affect their accuracy for the same <span class="inline-formula"<<i<N</i<</span<, and (4) to generate freely available datasets and software facilitating the development of new gas-optics tools. The datasets consist of the high-resolution longwave and shortwave absorption spectra of nine gases for a range of atmospheric conditions, realistic and idealized. Thirty-four concentration scenarios for the well-mixed greenhouse gases are proposed to test CKD models from palaeo- to future-climate conditions. We demonstrate the strengths of the protocol in this paper by using it to evaluate the widely used Rapid Radiative Transfer Model for General Circulation Models (RRTMG).</p< Geology M. Matricardi verfasserin aut In Geoscientific Model Development Copernicus Publications, 2009 13(2020), Seite 6501-6521 (DE-627)582024102 (DE-600)2456725-5 19919603 nnns volume:13 year:2020 pages:6501-6521 https://doi.org/10.5194/gmd-13-6501-2020 kostenfrei https://doaj.org/article/183c037baaeb4a4e8302e0c9ad021b00 kostenfrei https://gmd.copernicus.org/articles/13/6501/2020/gmd-13-6501-2020.pdf kostenfrei https://doaj.org/toc/1991-959X Journal toc kostenfrei https://doaj.org/toc/1991-9603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 6501-6521
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title_auth	Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP)
abstract	<p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-formula"<<i<N</i<</span< pseudo-monochromatic calculations. Larger <span class="inline-formula"<<i<N</i<</span< means more accuracy and a wider range of gas concentrations can be simulated but at greater computational cost. Unfortunately, the tools to perform this efficiency–accuracy trade-off (e.g. to generate separate CKD models for applications such as short-range weather forecasting to climate modelling) are unavailable to the vast majority of users of radiation schemes. This paper describes the experimental protocol for the Correlated K-Distribution Model Intercomparison Project (CKDMIP), whose purpose is to use benchmark line-by-line calculations: (1) to evaluate the accuracy of existing CKD models, (2) to explore how accuracy varies with <span class="inline-formula"<<i<N</i<</span< for CKD models submitted by CKDMIP participants, (3) to understand how different choices in the way that CKD models are generated affect their accuracy for the same <span class="inline-formula"<<i<N</i<</span<, and (4) to generate freely available datasets and software facilitating the development of new gas-optics tools. The datasets consist of the high-resolution longwave and shortwave absorption spectra of nine gases for a range of atmospheric conditions, realistic and idealized. Thirty-four concentration scenarios for the well-mixed greenhouse gases are proposed to test CKD models from palaeo- to future-climate conditions. We demonstrate the strengths of the protocol in this paper by using it to evaluate the widely used Rapid Radiative Transfer Model for General Circulation Models (RRTMG).</p<
abstractGer	<p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-formula"<<i<N</i<</span< pseudo-monochromatic calculations. Larger <span class="inline-formula"<<i<N</i<</span< means more accuracy and a wider range of gas concentrations can be simulated but at greater computational cost. Unfortunately, the tools to perform this efficiency–accuracy trade-off (e.g. to generate separate CKD models for applications such as short-range weather forecasting to climate modelling) are unavailable to the vast majority of users of radiation schemes. This paper describes the experimental protocol for the Correlated K-Distribution Model Intercomparison Project (CKDMIP), whose purpose is to use benchmark line-by-line calculations: (1) to evaluate the accuracy of existing CKD models, (2) to explore how accuracy varies with <span class="inline-formula"<<i<N</i<</span< for CKD models submitted by CKDMIP participants, (3) to understand how different choices in the way that CKD models are generated affect their accuracy for the same <span class="inline-formula"<<i<N</i<</span<, and (4) to generate freely available datasets and software facilitating the development of new gas-optics tools. The datasets consist of the high-resolution longwave and shortwave absorption spectra of nine gases for a range of atmospheric conditions, realistic and idealized. Thirty-four concentration scenarios for the well-mixed greenhouse gases are proposed to test CKD models from palaeo- to future-climate conditions. We demonstrate the strengths of the protocol in this paper by using it to evaluate the widely used Rapid Radiative Transfer Model for General Circulation Models (RRTMG).</p<
abstract_unstemmed	<p<Most radiation schemes in weather and climate models use the “correlated <span class="inline-formula"<<i<k</i<</span< distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by <span class="inline-formula"<<i<N</i<</span< pseudo-monochromatic calculations. Larger <span class="inline-formula"<<i<N</i<</span< means more accuracy and a wider range of gas concentrations can be simulated but at greater computational cost. Unfortunately, the tools to perform this efficiency–accuracy trade-off (e.g. to generate separate CKD models for applications such as short-range weather forecasting to climate modelling) are unavailable to the vast majority of users of radiation schemes. This paper describes the experimental protocol for the Correlated K-Distribution Model Intercomparison Project (CKDMIP), whose purpose is to use benchmark line-by-line calculations: (1) to evaluate the accuracy of existing CKD models, (2) to explore how accuracy varies with <span class="inline-formula"<<i<N</i<</span< for CKD models submitted by CKDMIP participants, (3) to understand how different choices in the way that CKD models are generated affect their accuracy for the same <span class="inline-formula"<<i<N</i<</span<, and (4) to generate freely available datasets and software facilitating the development of new gas-optics tools. The datasets consist of the high-resolution longwave and shortwave absorption spectra of nine gases for a range of atmospheric conditions, realistic and idealized. Thirty-four concentration scenarios for the well-mixed greenhouse gases are proposed to test CKD models from palaeo- to future-climate conditions. We demonstrate the strengths of the protocol in this paper by using it to evaluate the widely used Rapid Radiative Transfer Model for General Circulation Models (RRTMG).</p<
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title_short	Evaluating and improving the treatment of gases in radiation schemes: the Correlated K-Distribution Model Intercomparison Project (CKDMIP)
url	https://doi.org/10.5194/gmd-13-6501-2020 https://doaj.org/article/183c037baaeb4a4e8302e0c9ad021b00 https://gmd.copernicus.org/articles/13/6501/2020/gmd-13-6501-2020.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603
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author2	M. Matricardi
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doi_str	10.5194/gmd-13-6501-2020
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up_date	2024-07-04T00:28:40.144Z
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