Based on the optimal estimation method, a satellite XCO2 retrieval algorithm was constructed by combining LBLRTM with VLIDORT. One-year GOSAT/TANSO observations over four TCCON stations were tested by our algorithm, a...Based on the optimal estimation method, a satellite XCO2 retrieval algorithm was constructed by combining LBLRTM with VLIDORT. One-year GOSAT/TANSO observations over four TCCON stations were tested by our algorithm, and retrieval results were compared with GOSAT L2 B products and ground-based FTS measurements. Meanwhile, the influence of CO2 line mixing effect on retrieval was estimated, and the research showed that neglecting CO2 line mixing effect could result in approximately 0.25% XCO2 underestimation. The accuracy of XCO2 retrievals was similar to GOSAT L2 B products at cloud-free footprints with aerosol optical depth less than 0.3, and 1% accuracy of XCO2 retrievals can be reached based on the validation result with TCCON measurements.展开更多
基金funded by the National Key Research and Development Program of China [grant numbers2017YFB0504000 and 2017YFC1501701]the National Natural Science Foundation of China [grant number 41575034]
文摘有关动物适应异质性海拔环境的研究,已在表型、解剖学、生理学、基因组学和转录组学等方面广泛开展,但是很少关注小RNA(micro RNAs或miRNAs)的生态适应性功能.草原毛虫是青藏高原高寒草地的重要害虫,并对不同海拔环境产生了良好的适应性.为此,本研究以两种栖息于青藏高原不同海拔环境的黄斑草原毛虫和门源草原毛虫为研究对象,基于Illumina Hi Seq技术对这两种草原毛虫的miRNA转录组进行了高通量测序.结果表明,两种草原毛虫中共鉴定到109个成熟miRNAs,其中47个为保守miRNAs.在所有miRNAs种,共有9个miRNAs的表达水平在两种草原毛虫间存在显著差异性.对这9个差异性表达的miRNAs采用实时荧光定量PCR进行验证,发现8个基因的表达水平与高通量测序结果完全一致.功能分析表明,差异性表达的miRNAs共预测到93个靶基因.这些靶基因主要富集到脂、核酸和维生素等代谢或衰老相关的GO条目,并与代谢、抗寒和低氧等KEGG通路相关(如AMPK信号通路、Wnt信号通路和m TOR信号通路).这些研究表明,miRNAs在草原毛虫对异质性海拔环境的适应性进化过程中具有重要作用.该研究加深了对青藏高原特有昆虫适应高海拔环境的遗传基础的理解.
基金supported by the National High Technology Research and Development Program of China(Grant No.2011AA12A104-3)the Strategic Priority Research Program(Grant No.XDA05100300)+4 种基金the European Commission’s Seventh Framework Program"PANDA"(Grant No.FP7-SPACE-2013-1)the Public Industry-specific Fund for Meteorology(Grant No.GYHY201106045)the 4th and 5th GOSAT/TANSO Joint Research Project,National Basic Research Program of China(Grant No.2013CB955801)National Natural Science Foundation of China(Grant No.41175030)China Earth Observation Project(Grant No.E310/1112)
文摘Based on the optimal estimation method, a satellite XCO2 retrieval algorithm was constructed by combining LBLRTM with VLIDORT. One-year GOSAT/TANSO observations over four TCCON stations were tested by our algorithm, and retrieval results were compared with GOSAT L2 B products and ground-based FTS measurements. Meanwhile, the influence of CO2 line mixing effect on retrieval was estimated, and the research showed that neglecting CO2 line mixing effect could result in approximately 0.25% XCO2 underestimation. The accuracy of XCO2 retrievals was similar to GOSAT L2 B products at cloud-free footprints with aerosol optical depth less than 0.3, and 1% accuracy of XCO2 retrievals can be reached based on the validation result with TCCON measurements.
