The aim of this study is to calculate the low-level atmospheric motion vectors (AMVs) in clear areas with FY-2E IR2 window (11.59-12.79 μm) channel imagery,where the traditional cloud motion wind technique fails....The aim of this study is to calculate the low-level atmospheric motion vectors (AMVs) in clear areas with FY-2E IR2 window (11.59-12.79 μm) channel imagery,where the traditional cloud motion wind technique fails.A new tracer selection procedure,which we call the temporal difference technique,is demonstrated in this paper.This technique makes it possible to infer low-level wind by tracking features in the moisture pattern that appear as brightness temperature (TB) differences between consecutive sequences of 30-min-interval FY-2E IR2 images over cloud-free regions.The TB difference corresponding to a 10% change in water vapor density is computed with the Moderate Resolution Atmospheric Transmission (MODTRAN4) radiative transfer model.The total contribution from each of the 10 layers is analyzed under four typical atmospheric conditions:tropical,midlatitude summer,U.S.standard,and midlatitude winter.The peak level of the water vapor weighting function for the four typical atmospheres is assigned as a specific height to the TB "wind".This technique is valid over cloudfree ocean areas.The proposed algorithm exhibits encouraging statistical results in terms of vector difference (VD),speed bias (BIAS),mean vector difference (MVD),standard deviation (SD),and root-mean-square error (RMSE),when compared with the wind field of NCEP reanalysis data and rawinsonde observations.展开更多
The operational cloud-motion tracking technique fails to retrieve atmospheric motion vectors (AMVs) in areas lacking cloud; and while water vapor shown in water vapor imagery can be used, the heights assigned to the...The operational cloud-motion tracking technique fails to retrieve atmospheric motion vectors (AMVs) in areas lacking cloud; and while water vapor shown in water vapor imagery can be used, the heights assigned to the retrieved AMVs are mostly in the upper troposphere. As the noise-equivalent temperature difference (NEdT) performance of FY-2E split win- dow (10.3-11.5 μm, 11.6-12.8 μm) channels has been improved, the weak signals representing the spatial texture of water vapor and aerosols in cloud-free areas can be strengthened with algorithms based on the difference principle, and applied in calculating AMVs in the lower troposphere. This paper is a preliminary summary for this purpose, in which the principles and algorithm schemes for the temporal difference, split window difference and second-order difference (SD) methods are introduced. Results from simulation and cases experiments are reported in order to verify and evaluate the methods, based on comparison among retrievals and the "truth". The results show that all three algorithms, though not perfect in some cases, generally work well. Moreover, the SD method appears to be the best in suppressing the surface temperature influence and clarifying the spatial texture of water vapor and aerosols. The accuracy with respect to NCEP 800 hPa reanalysis data was found to be acceptable, as compared with the accuracy of the cloud motion vectors.展开更多
Vietnam ranks as one of the largest rice exporters in the world.Two major deltas,the Mekong River Delta and the Red River Delta,contribute around 70%of the country’s rice production and 90%of its rice exports,while p...Vietnam ranks as one of the largest rice exporters in the world.Two major deltas,the Mekong River Delta and the Red River Delta,contribute around 70%of the country’s rice production and 90%of its rice exports,while people in the mountainous areas of Central Vietnam still suffer from food shortage for three to four months per year.To combat this incongruous situation,the Foundation for International Development/Relief(FIDR),a Japan-based non-governmental organization(NGO),launched a project to introduce system of rice intensification(SRI)methods and developed the community-based dissemination(CBD)model.One of the difficulties that the government and aid agencies generally face is to create an effective and sustainable dissemination model,when the newly-introduced technology is totally unfamiliar to targeted region and residents.Vietnam consists of 54 ethnic groups,and 14%of the population is comprised of 53 ethnic minorities,mainly living in mountainous areas.Almost 50%of them still live below the poverty line and are threatened by food shortage.Within their cultural context,it is hard to adapt to the new concepts of farming,and they are not used to paddy rice cultivation yet.As the result of the project,the model successfully reduced the food shortage of 1.5 months less in average with more than 4,000 households involved.The model is now turned over to the local government as a case of sustainable management practices.This paper aimed to examine what made the model effectively function.展开更多
基金supported by the National Natural Science Foundation of China (Grant Nos.41175035 and 41005005)the National Basic Research Program of China (Grant No.2009CB421502)a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)
文摘The aim of this study is to calculate the low-level atmospheric motion vectors (AMVs) in clear areas with FY-2E IR2 window (11.59-12.79 μm) channel imagery,where the traditional cloud motion wind technique fails.A new tracer selection procedure,which we call the temporal difference technique,is demonstrated in this paper.This technique makes it possible to infer low-level wind by tracking features in the moisture pattern that appear as brightness temperature (TB) differences between consecutive sequences of 30-min-interval FY-2E IR2 images over cloud-free regions.The TB difference corresponding to a 10% change in water vapor density is computed with the Moderate Resolution Atmospheric Transmission (MODTRAN4) radiative transfer model.The total contribution from each of the 10 layers is analyzed under four typical atmospheric conditions:tropical,midlatitude summer,U.S.standard,and midlatitude winter.The peak level of the water vapor weighting function for the four typical atmospheres is assigned as a specific height to the TB "wind".This technique is valid over cloudfree ocean areas.The proposed algorithm exhibits encouraging statistical results in terms of vector difference (VD),speed bias (BIAS),mean vector difference (MVD),standard deviation (SD),and root-mean-square error (RMSE),when compared with the wind field of NCEP reanalysis data and rawinsonde observations.
基金supported by the National Natural Science Foundation of China(Grant Nos.41175035 and 40475018)the National Basic Research Program of China(Grant No.2009CB421502)a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions
文摘The operational cloud-motion tracking technique fails to retrieve atmospheric motion vectors (AMVs) in areas lacking cloud; and while water vapor shown in water vapor imagery can be used, the heights assigned to the retrieved AMVs are mostly in the upper troposphere. As the noise-equivalent temperature difference (NEdT) performance of FY-2E split win- dow (10.3-11.5 μm, 11.6-12.8 μm) channels has been improved, the weak signals representing the spatial texture of water vapor and aerosols in cloud-free areas can be strengthened with algorithms based on the difference principle, and applied in calculating AMVs in the lower troposphere. This paper is a preliminary summary for this purpose, in which the principles and algorithm schemes for the temporal difference, split window difference and second-order difference (SD) methods are introduced. Results from simulation and cases experiments are reported in order to verify and evaluate the methods, based on comparison among retrievals and the "truth". The results show that all three algorithms, though not perfect in some cases, generally work well. Moreover, the SD method appears to be the best in suppressing the surface temperature influence and clarifying the spatial texture of water vapor and aerosols. The accuracy with respect to NCEP 800 hPa reanalysis data was found to be acceptable, as compared with the accuracy of the cloud motion vectors.
文摘Vietnam ranks as one of the largest rice exporters in the world.Two major deltas,the Mekong River Delta and the Red River Delta,contribute around 70%of the country’s rice production and 90%of its rice exports,while people in the mountainous areas of Central Vietnam still suffer from food shortage for three to four months per year.To combat this incongruous situation,the Foundation for International Development/Relief(FIDR),a Japan-based non-governmental organization(NGO),launched a project to introduce system of rice intensification(SRI)methods and developed the community-based dissemination(CBD)model.One of the difficulties that the government and aid agencies generally face is to create an effective and sustainable dissemination model,when the newly-introduced technology is totally unfamiliar to targeted region and residents.Vietnam consists of 54 ethnic groups,and 14%of the population is comprised of 53 ethnic minorities,mainly living in mountainous areas.Almost 50%of them still live below the poverty line and are threatened by food shortage.Within their cultural context,it is hard to adapt to the new concepts of farming,and they are not used to paddy rice cultivation yet.As the result of the project,the model successfully reduced the food shortage of 1.5 months less in average with more than 4,000 households involved.The model is now turned over to the local government as a case of sustainable management practices.This paper aimed to examine what made the model effectively function.