Cloud top pressure(CTP)is one of the critical cloud properties that significantly affects the radiative effect of clouds.Multi-angle polarized sensors can employ polarized bands(490 nm)or O_(2)A-bands(763 and 765 nm)t...Cloud top pressure(CTP)is one of the critical cloud properties that significantly affects the radiative effect of clouds.Multi-angle polarized sensors can employ polarized bands(490 nm)or O_(2)A-bands(763 and 765 nm)to retrieve the CTP.However,the CTP retrieved by the two methods shows inconsistent results in certain cases,and large uncertainties in low and thin cloud retrievals,which may lead to challenges in subsequent applications.This study proposes a synergistic algorithm that considers both O_(2)A-bands and polarized bands using a random forest(RF)model.LiDAR CTP data are used as the true values and the polarized and non-polarized measurements are concatenated to train the RF model to determine CTP.Additionally,through analysis,we proposed that the polarized signal becomes saturated as the cloud optical thickness(COT)increases,necessitating a particular treatment for cases where COT<10 to improve the algorithm's stability.The synergistic method was then applied to the directional polarized camera(DPC)and Polarized and Directionality of the Earth’s Reflectance(POLDER)measurements for evaluation,and the resulting retrieval accuracy of the POLDER-based measurements(RMSEPOLDER=205.176 hPa,RMSEDPC=171.141 hPa,R^(2)POLDER=0.636,R^(2)DPC=0.663,respectively)were higher than that of the MODIS and POLDER Rayleigh pressure measurements.The synergistic algorithm also showed good performance with the application of DPC data.This algorithm is expected to provide data support for atmosphere-related fields as an atmospheric remote sensing algorithm within the Cloud Application for Remote Sensing,Atmospheric Radiation,and Updating Energy(CARE)platform.展开更多
Cloud radiative kernels(CRK)built with radiative transfer models have been widely used to analyze the cloud radiative effect on top of atmosphere(TOA)fluxes,and it is expected that the CRKs would also be useful in the...Cloud radiative kernels(CRK)built with radiative transfer models have been widely used to analyze the cloud radiative effect on top of atmosphere(TOA)fluxes,and it is expected that the CRKs would also be useful in the analyses of surface radiative fluxes,which determines the regional surface temperature change and variability.In this study,CRKs at the surface and TOA were built using the Rapid Radiative Transfer Model(RRTM).Longwave cloud radiative effect(CRE)at the surface is primarily driven by cloud base properties,while TOA CRE is primarily decided by cloud top properties.For this reason,the standard version of surface CRK is a function of latitude,longitude,month,cloud optical thickness(τ)and cloud base pressure(CBP),and the TOA CRK is a function of latitude,longitude,month,τand cloud top pressure(CTP).Considering that the cloud property histograms provided by climate models are functions of CTP instead of CBP at present,the surface CRKs on CBP-τhistograms were converted to CTP-τfields using the statistical relationship between CTP,CBP andτobtained from collocated CloudSat and MODIS observations.For both climate model outputs and satellites observations,the climatology of surface CRE and cloud-induced surface radiative anomalies calculated with the surface CRKs and cloud property histograms are well correlated with those calculated from surface radiative fluxes.The cloud-induced surface radiative anomalies reproduced by surface CRKs and MODIS cloud property histograms are not affected by spurious trends that appear in Clouds and the Earth's Radiant Energy System(CERES)surface irradiances products.展开更多
Steel plays a vital role in every facet of our life.Like DNA in our body,steel plays a crucial role in the development of any society.From infrastructure,defence,transportation,research & development and even in d...Steel plays a vital role in every facet of our life.Like DNA in our body,steel plays a crucial role in the development of any society.From infrastructure,defence,transportation,research & development and even in day to day life,everywhere steel is used.Per capita consumption of steel is treated as an important index for the socioeconomic development of any country.The rapid and continuing growth of steel industry during last few decades bears testimony to the indispensability of steel as a vital resource for economic development.Though steel as a product is eco friendly,the process of making steel is associated with lot of energy and environmental ramifications.According to International Energy Outlook 2009,iron and steel industry account for about 20%of the total industrial energy consumption.Hence this industrial sector can play a pivotal role to influence the energy and environmental scenario of any country. As a responsible corporate citizen,Steel Authority of India Limited,the largest steel producer in India,has taken various initiatives over the years towards the protection of environment and reduction in energy consumption.This has resulted in the reduction of energy consumption by almost 15.45%over a period of last 10 years.The initiative is also evident in the company's growth plan which aims at almost doubling the production capacity in the near future from the existing level of 13.5 Mt/a.Implementation of tate of it lean echnologies like CDQ,TRT,and waste heat recovery from sinter plants,maximizing CDI & CTI in blast furnaces,augmentation of pollution control devices with more efficient equipment are on the anvil.These reaffirm our commitments for clean and sustainable environment. This paper gives an overview of the efforts taken by SAIL over the years for energy conservation and environmental protection with special emphasis on a few projects like by product fuel for power generation,use of energy efficient burners,maximizing the use of thyristors in place of motor generators,coke dry quenching facility, etc.展开更多
基金the National Natural Science Foundation of China(Grant Nos.42025504,No.41905023)National Natural Science Youth Science Foundation(Grant No.41701406)Youth Innovation Promotion Association of Chinese Academy of Sciences(Grant No.:2021122).
文摘Cloud top pressure(CTP)is one of the critical cloud properties that significantly affects the radiative effect of clouds.Multi-angle polarized sensors can employ polarized bands(490 nm)or O_(2)A-bands(763 and 765 nm)to retrieve the CTP.However,the CTP retrieved by the two methods shows inconsistent results in certain cases,and large uncertainties in low and thin cloud retrievals,which may lead to challenges in subsequent applications.This study proposes a synergistic algorithm that considers both O_(2)A-bands and polarized bands using a random forest(RF)model.LiDAR CTP data are used as the true values and the polarized and non-polarized measurements are concatenated to train the RF model to determine CTP.Additionally,through analysis,we proposed that the polarized signal becomes saturated as the cloud optical thickness(COT)increases,necessitating a particular treatment for cases where COT<10 to improve the algorithm's stability.The synergistic method was then applied to the directional polarized camera(DPC)and Polarized and Directionality of the Earth’s Reflectance(POLDER)measurements for evaluation,and the resulting retrieval accuracy of the POLDER-based measurements(RMSEPOLDER=205.176 hPa,RMSEDPC=171.141 hPa,R^(2)POLDER=0.636,R^(2)DPC=0.663,respectively)were higher than that of the MODIS and POLDER Rayleigh pressure measurements.The synergistic algorithm also showed good performance with the application of DPC data.This algorithm is expected to provide data support for atmosphere-related fields as an atmospheric remote sensing algorithm within the Cloud Application for Remote Sensing,Atmospheric Radiation,and Updating Energy(CARE)platform.
基金supported by the National Natural Science Foundation of China(Grant No.NSFC 41875095,42075127).
文摘Cloud radiative kernels(CRK)built with radiative transfer models have been widely used to analyze the cloud radiative effect on top of atmosphere(TOA)fluxes,and it is expected that the CRKs would also be useful in the analyses of surface radiative fluxes,which determines the regional surface temperature change and variability.In this study,CRKs at the surface and TOA were built using the Rapid Radiative Transfer Model(RRTM).Longwave cloud radiative effect(CRE)at the surface is primarily driven by cloud base properties,while TOA CRE is primarily decided by cloud top properties.For this reason,the standard version of surface CRK is a function of latitude,longitude,month,cloud optical thickness(τ)and cloud base pressure(CBP),and the TOA CRK is a function of latitude,longitude,month,τand cloud top pressure(CTP).Considering that the cloud property histograms provided by climate models are functions of CTP instead of CBP at present,the surface CRKs on CBP-τhistograms were converted to CTP-τfields using the statistical relationship between CTP,CBP andτobtained from collocated CloudSat and MODIS observations.For both climate model outputs and satellites observations,the climatology of surface CRE and cloud-induced surface radiative anomalies calculated with the surface CRKs and cloud property histograms are well correlated with those calculated from surface radiative fluxes.The cloud-induced surface radiative anomalies reproduced by surface CRKs and MODIS cloud property histograms are not affected by spurious trends that appear in Clouds and the Earth's Radiant Energy System(CERES)surface irradiances products.
文摘Steel plays a vital role in every facet of our life.Like DNA in our body,steel plays a crucial role in the development of any society.From infrastructure,defence,transportation,research & development and even in day to day life,everywhere steel is used.Per capita consumption of steel is treated as an important index for the socioeconomic development of any country.The rapid and continuing growth of steel industry during last few decades bears testimony to the indispensability of steel as a vital resource for economic development.Though steel as a product is eco friendly,the process of making steel is associated with lot of energy and environmental ramifications.According to International Energy Outlook 2009,iron and steel industry account for about 20%of the total industrial energy consumption.Hence this industrial sector can play a pivotal role to influence the energy and environmental scenario of any country. As a responsible corporate citizen,Steel Authority of India Limited,the largest steel producer in India,has taken various initiatives over the years towards the protection of environment and reduction in energy consumption.This has resulted in the reduction of energy consumption by almost 15.45%over a period of last 10 years.The initiative is also evident in the company's growth plan which aims at almost doubling the production capacity in the near future from the existing level of 13.5 Mt/a.Implementation of tate of it lean echnologies like CDQ,TRT,and waste heat recovery from sinter plants,maximizing CDI & CTI in blast furnaces,augmentation of pollution control devices with more efficient equipment are on the anvil.These reaffirm our commitments for clean and sustainable environment. This paper gives an overview of the efforts taken by SAIL over the years for energy conservation and environmental protection with special emphasis on a few projects like by product fuel for power generation,use of energy efficient burners,maximizing the use of thyristors in place of motor generators,coke dry quenching facility, etc.