Infrared Radiance Simulation and Application under Cloudy Sky Conditions Based on HIRTM
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摘要
An algorithm based on hyperspectral infrared cloudy radiative transfer model(HIRTM)is introduced and a simulation method for infrared image of the generation geostationary meteorological satellite is proposed.Based on the parameters from weather research and forecast(WRF),such as the water content,atmospheric temperature,and humidity profile,the simulation data for the advanced Himawari imager(AHI)infrared radiative(IR)channels of Himawari-8 are obtained.Simulated results based on HIRTM agree well with the observed data.Further,the movement,development,and change of the cloud are well predicated.And the simulation of IR cloud image for the weather forecast has been obtained.This paper provides an improved method for evaluation and improvement of regional numerical model for weather forecast.
An algorithm based on hyperspectral infrared cloudy radiative transfer model(HIRTM)is introduced and a simulation method for infrared image of the generation geostationary meteorological satellite is proposed.Based on the parameters from weather research and forecast(WRF),such as the water content,atmospheric temperature,and humidity profile,the simulation data for the advanced Himawari imager(AHI)infrared radiative(IR)channels of Himawari-8 are obtained.Simulated results based on HIRTM agree well with the observed data.Further,the movement,development,and change of the cloud are well predicated.And the simulation of IR cloud image for the weather forecast has been obtained.This paper provides an improved method for evaluation and improvement of regional numerical model for weather forecast.
An algorithm based on hyperspectral infrared cloudy radiative transfer model(HIRTM)is introduced and a simulation method for infrared image of the generation geostationary meteorological satellite is proposed.Based on the parameters from weather research and forecast(WRF),such as the water content,atmospheric temperature,and humidity profile,the simulation data for the advanced Himawari imager(AHI)infrared radiative(IR)channels of Himawari-8 are obtained.Simulated results based on HIRTM agree well with the observed data.Further,the movement,development,and change of the cloud are well predicated.And the simulation of IR cloud image for the weather forecast has been obtained.This paper provides an improved method for evaluation and improvement of regional numerical model for weather forecast.
引文
[1]S.Chen,B.Mulgrew,and P.M.Grant,“A clustering technique for digital communications channel equalization using radial basis function networks,”IEEE Trans.on Neural Networks,vol.4,no.4,pp.570-590,Jul.1993.
[2]L.-L Cui,J.Shi,and F.-J.Xiao,“Impacts of climatic factors and El Ni?o/La Ni?a events on the changes of terrestrial ecosystem NPP in China,”Acta Geographica Sinica,vol.73,no.1,pp.54-66,Jan.2018.
[3]F.-J.Xiao,Y.-Z.Yin,Y.Luo,L.-C.Song,and D.-X.Ye,“Tropical cyclone hazards analysis based on tropical cyclone potential impact index,”Journal of Geographical Sciences,vol.21,no.5,pp.791-800,Oct.2011.
[4]W.Zhao,A.-N.Li,and Z.-L.Li,“Component temperature estimation from simulated geostationary meteorological satellite data based on MAP criterion and Markov models,”Journal of Geo-Information Science,vol.15,no.3,pp.422-430,Jun.2013.
[5]J.-T.Yang,L.-M.Jiang,F.-M.Wu,and R.-J.Sun,“Monitoring snow cover over China with MTSAT-2 geostationary satellite,”Journal of Remote Sensing,vol.17,no.5,pp.1264-1280,Mar.2013.
[6]M.Wang,W.Zheng,and F.Li,“Application of himawari-8 data to enteromorpha prolifera dynamically monitoring in the Yellow Sea,”Journal of Applied Meteorological Science,vol.28,no.6,pp.714-723,Nov.2017.
[7]P.Zhang,Q.Guo,B.-Y.Chen,and X.Feng,“The Chinese next-generation geostationary meteorological satellite FY-4 compared with the Japanese himawari-8/9 satellites,”Advances in Meteorological Science and Technology,vol.6,no.1,pp.72-75,Feb.2016.
[8]K.Bessho,K.Date,M.Hayashi,et al.,“An introduction to himawari-8/9-Japan’s new-generation geostationary meteorological satellites,”Journal of the Meteorological Society of Japan,vol.94,no.2,pp.151-183,Apr.2016.
[9]Q.-H.Liu,Y.Xue,and C.Li,“Sensor-based clear and cloud radiance calculations in the community radiative transfer model,”Applied Optics,vol.52,no.20,pp.4981-4990,Jul.2013.
[10]S.E.Hannon,L.L.Strow,and W.W.McMillan,“Atmospheric infrared fast transmittance models:a comparison of two approaches,”in Proc.of SPIE 2830,Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research II,Denver,CO,1996,pp.94-105.
[11]J.Li,Z.-L.Li,P.Wang,T.J.Schmit,W.-G.Bai,and R.Atlas,“An efficient radiative transfer model for hyperspectral IR radiance simulation and applications under cloudy-sky conditions,”Journal of Geophysical Research,vol.122,no.14,pp.7600-7613,Jul.2017.
[12]J.Li,P.Wang,H.Han,J.-L.Li,and J.Zheng,“On the assimilation of satellite sounder data in cloudy skies in numerical weather prediction models,”Journal of Meteorological Research,vol.30,no.2,pp.169-182,Apr.2016.
[13]Z.-L.Li,J.Li,W.P.Menzel,et al.,“Forecasting and nowcasting improvement in cloudy regions with high temporal GOES sounder infrared radiance measurements,”Journal of Geophysical Research,vol.114,no.D9,pp.D09216:1-15,May 2009.
[14]H.-L.Wei,P.Yang,J.Li,et al.,“Retrieval of semitransparent ice cloud optical thickness from Atmospheric Infrared Sounder(AIRS)measurements,”IEEE Trans.Geoscience and Remote Sensing,vol.42,no.10,pp.2254-2267,Oct.2004.
[15]W.L.Sr.Smith,E.Weisz,S.V.Kireev,D.-K.Zhou,Z.-L.Li,and E.E.Borbas,“Dual-regression retrieval algorithm for real-time processing of satellite ultraspectral radiances,”Journal of Applied Meteorology and Climatology,vol.51,no.8,pp.1455-1476,Aug.2012.
[16]L.L.Strow,S.E.Hannon,S.De Souza-Machado,H.E.Motteler,and D.Tobin,“An overview of the AIRS radiative transfer model,”IEEE Trans.on Geoscience and Remote Sensing,vol.41,no.2,pp.303-313,Feb.2003.
[17]G.W.Juette and L.E.Zeffanella,“Radio noise currents n short sections on bundle conductors,”presented at the IEEE Summer Power Meeting,Dallas,TX,Jun.22-27,1990.
[18]W.Jin,X.-D.Yu,S.-L.Qu,J.-Y.Sun,X.-P.Wang,and W.-H.Liu,“Process of dry invation in a torrential rain and its cloud evolution features from satellite images in Liaoning province,”Journal of Meteorology and Environment,vol.31,no.6,pp.51-58,Dec.2015.
[2]L.-L Cui,J.Shi,and F.-J.Xiao,“Impacts of climatic factors and El Ni?o/La Ni?a events on the changes of terrestrial ecosystem NPP in China,”Acta Geographica Sinica,vol.73,no.1,pp.54-66,Jan.2018.
[3]F.-J.Xiao,Y.-Z.Yin,Y.Luo,L.-C.Song,and D.-X.Ye,“Tropical cyclone hazards analysis based on tropical cyclone potential impact index,”Journal of Geographical Sciences,vol.21,no.5,pp.791-800,Oct.2011.
[4]W.Zhao,A.-N.Li,and Z.-L.Li,“Component temperature estimation from simulated geostationary meteorological satellite data based on MAP criterion and Markov models,”Journal of Geo-Information Science,vol.15,no.3,pp.422-430,Jun.2013.
[5]J.-T.Yang,L.-M.Jiang,F.-M.Wu,and R.-J.Sun,“Monitoring snow cover over China with MTSAT-2 geostationary satellite,”Journal of Remote Sensing,vol.17,no.5,pp.1264-1280,Mar.2013.
[6]M.Wang,W.Zheng,and F.Li,“Application of himawari-8 data to enteromorpha prolifera dynamically monitoring in the Yellow Sea,”Journal of Applied Meteorological Science,vol.28,no.6,pp.714-723,Nov.2017.
[7]P.Zhang,Q.Guo,B.-Y.Chen,and X.Feng,“The Chinese next-generation geostationary meteorological satellite FY-4 compared with the Japanese himawari-8/9 satellites,”Advances in Meteorological Science and Technology,vol.6,no.1,pp.72-75,Feb.2016.
[8]K.Bessho,K.Date,M.Hayashi,et al.,“An introduction to himawari-8/9-Japan’s new-generation geostationary meteorological satellites,”Journal of the Meteorological Society of Japan,vol.94,no.2,pp.151-183,Apr.2016.
[9]Q.-H.Liu,Y.Xue,and C.Li,“Sensor-based clear and cloud radiance calculations in the community radiative transfer model,”Applied Optics,vol.52,no.20,pp.4981-4990,Jul.2013.
[10]S.E.Hannon,L.L.Strow,and W.W.McMillan,“Atmospheric infrared fast transmittance models:a comparison of two approaches,”in Proc.of SPIE 2830,Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research II,Denver,CO,1996,pp.94-105.
[11]J.Li,Z.-L.Li,P.Wang,T.J.Schmit,W.-G.Bai,and R.Atlas,“An efficient radiative transfer model for hyperspectral IR radiance simulation and applications under cloudy-sky conditions,”Journal of Geophysical Research,vol.122,no.14,pp.7600-7613,Jul.2017.
[12]J.Li,P.Wang,H.Han,J.-L.Li,and J.Zheng,“On the assimilation of satellite sounder data in cloudy skies in numerical weather prediction models,”Journal of Meteorological Research,vol.30,no.2,pp.169-182,Apr.2016.
[13]Z.-L.Li,J.Li,W.P.Menzel,et al.,“Forecasting and nowcasting improvement in cloudy regions with high temporal GOES sounder infrared radiance measurements,”Journal of Geophysical Research,vol.114,no.D9,pp.D09216:1-15,May 2009.
[14]H.-L.Wei,P.Yang,J.Li,et al.,“Retrieval of semitransparent ice cloud optical thickness from Atmospheric Infrared Sounder(AIRS)measurements,”IEEE Trans.Geoscience and Remote Sensing,vol.42,no.10,pp.2254-2267,Oct.2004.
[15]W.L.Sr.Smith,E.Weisz,S.V.Kireev,D.-K.Zhou,Z.-L.Li,and E.E.Borbas,“Dual-regression retrieval algorithm for real-time processing of satellite ultraspectral radiances,”Journal of Applied Meteorology and Climatology,vol.51,no.8,pp.1455-1476,Aug.2012.
[16]L.L.Strow,S.E.Hannon,S.De Souza-Machado,H.E.Motteler,and D.Tobin,“An overview of the AIRS radiative transfer model,”IEEE Trans.on Geoscience and Remote Sensing,vol.41,no.2,pp.303-313,Feb.2003.
[17]G.W.Juette and L.E.Zeffanella,“Radio noise currents n short sections on bundle conductors,”presented at the IEEE Summer Power Meeting,Dallas,TX,Jun.22-27,1990.
[18]W.Jin,X.-D.Yu,S.-L.Qu,J.-Y.Sun,X.-P.Wang,and W.-H.Liu,“Process of dry invation in a torrential rain and its cloud evolution features from satellite images in Liaoning province,”Journal of Meteorology and Environment,vol.31,no.6,pp.51-58,Dec.2015.