全球气候数据集生成及气候变化应用研究
Production of the global climate data records and applications to climate change studies
- 2016年20卷第6期 页码:1491-1499
纸质出版日期: 2016
DOI: 10.11834/jrs.20166359
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纸质出版日期: 2016 ,
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[1]梁顺林,唐世浩,张杰,徐冰,程洁,程晓,宫鹏,贾坤,江波,李爱农,刘素红,邱红,肖志强,谢先红,杨军,杨俊刚,姚云军,于贵瑞,张晓通,赵祥.全球气候数据集生成及气候变化应用研究[J].遥感学报,2016,20(06):1491-1499.
Liang Shunlin, TANG Shihao, ZHANG Jie, et al. Production of the global climate data records and applications to climate change studies[J]. Journal of Remote Sensing, 2016,20(6):1491-1499.
科技部在"十三五"期间部署的国家重点研发计划"全球变化及应对"专项资助了"全球气候数据集生成及气候变化关键过程和要素监测"研究项目。项目围绕由全球气候观测系统提出的基本气候变量
完善地空天基观测体系
生成中国首套以遥感数据为主体的涵盖大气、海洋和陆表长时间序列、高精度、高时空一致性的产品
即气候数据集
动态监测全球变化关键过程和要素。
The research project entitled
"Generation of global climate data records and their use for monitoring the key variables and processes of climate change
" was recently funded by the Chinese Ministry of Science and Technology under the Global Changes and Responses Program.This project focuses on the essential climate variables proposed by the global climate observing system.It aims to improve surface-air-space observing systems;produce long-term
highly accurate
and highly spatiotemporal consistent satellite products(i.e.
climate data records
CDRs) of the atmosphere
ocean
and land surfaces;and monitor the key variables and processes of climate change dynamically.This project will produce the first CDR suite in China.This research project is divided into four.The first three sub-projects focus on the satellite product generation of the atmosphere
ocean
and land surfaces.Each of these three sub-project includes ground observation
inversion and fusion methods of remote sensing data
and production and application demonstration of climate dataset.Ground observation is mainly used for algorithm development
product validation
and application demonstration.Sub-project 4 will comprehensively assess these satellite products and use them for climate change studies.Sub-project 1 on the atmosphere will mainly focus on the variables that are essential for climate change studies
such as aerosol optical thickness
cloudiness
precipitation
CO
2
ozone
solar incident radiation
reflected solar radiation
outgoing long wave radiation
and energy imbalance.Nine CDRs will be generated at the end.The application demonstration will be based on the long-term atmospheric climate dataset;it will be combined with foreign satellite-related products to study the global climate effects of aerosol
dynamic monitoring of polar ozone concentrations
energy balance of the Earth
and other applications.Sub-project 2 on the ocean will mainly focus on methods and techniques for producing a total of 21 products
including the balance components of ocean energy(i.e.
shortwave incident solar radiation
shortwave broadband albedo
longwave downward radiation
emissivity
and net radiation)
dynamic environmental parameters and processes of the ocean(i.e.
sea surface wind
ocean wave
surface flow
sea surface temperature
sea surface salinity
sea surface temperature
and oceanic ice color(reflectance
chlorophyll concentration
particulate organic carbon
and primary productivity))
and sea ice(i.e.
concentration
thickness
and drift).At the end
17 of these will be generated as ocean CDRs.Their applications to the global ocean matter and energy transport will be demonstrated based on the global ocean climate data set for the major estuarine water changes of the world in response to global climate change.Sub-project 3 for land surfaces will mainly focus on 20 variables that characterize the key processes of climate change
including the global energy balance of land surfaces(i.e.
shortwave incident radiation
shortwave broadband albedo
longwave downward radiation
land surface emissivity
land surface temperature
and net radiation)
water cycle(i.e.
evapotranspiration
water surface dynamics
and wetland)
carbon cycle(i.e.
leaf area index
fractional photo synthetically active radiation absorbed by green vegetation
vegetation coverage
forest biomass
gross primary productivity
net primary productivity
residential area
land cover
and fire burned area)
and polar and cryosphere(i.e.
elevation and area of ice surfaces
snow cover
snow water equivalent
and freezing and thawing of permafrost).At the end
15 of these products will be generated as land CDRs.The application demonstration component will include assimilating these data products into land surface process models;analyzing the effect of these products on the diagnostic ability of temporal and spatial characteristics of climate change;and quantifying the scientific values of these products in characterizing regional carbon cycle
water cycle
and energy balance.The atmospheric
oceanic
and terrestrial CDRs will be analyzed in Sub-project 4 by using the key process of global change as the constraint.They will be tested based on their spatiotemporal and logical consistency.Basic global change indicators will be proposed based on the entire process of acquisition and analysis of information data of global change.We will also determine the states and trends of the key processes
evaluate their causes and effects comprehensively
and investigate direct evidence of the roles played by key processes and elements in global climate change.
定量遥感气候数据集气候变化
quantitative remote sensingclimate data recordsclimate change
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