BIOME

作品数：63被引量：262H指数：10
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Constraint of satellite CO_(2)retrieval on the global carbon cycle from a Chinese atmospheric inversion system被引量：1
《Science China Earth Sciences》2023年第3期609-618,共10页Zhe JIN Tao WANG Hongqin ZHANG Yilong WANG Jinzhi DING Xiangjun TIAN 
supported by the Second Tibetan Plateau Scientific Expedition and Research Program(2022QZKK0101);the National Natural Science Foundation of China(Grant Nos.41975140&42105150)。
Satellite carbon dioxide(CO_(2))retrievals provide important constraints on surface carbon fluxes in regions that are undersampled by global in situ networks.In this study,we developed an atmospheric inversion system ...
关键词：Carbon cycle Atmospheric inversion Net biome productivity(NBP) El Nino 
Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method被引量：5
《Science China Earth Sciences》2022年第3期518-535,共18页Feng QIN Yan ZHAO Xianyong CAO 
supported by the National Natural Science Foundation of China(Grant No.41690113);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA20070101);the National Natural Science Foundation of China(Grant Nos.42071114,41977395,and 41671202)。
Historical biome changes on the Tibetan Plateau provide important information that improves our understanding of the alpine vegetation responses to climate changes.However,a comprehensively quantitative reconstruction...
关键词：Biome reconstruction Random forest algorithm Biomisation method Pollen data Last Glacial Maximum Tibetan Plateau 
Quantitative climatic reconstruction of the Last Glacial Maximum in China被引量：3
《Science China Earth Sciences》2019年第8期1269-1278,共10页Haibin WU Qin LI Yanyan YU Aizhi SUN Yating LIN Wenqi JIANG Yunli LUO 
supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA13010106);the National Key Research and Development Program of China (Grant No. 2016YFA0600504);the National Natural Science Foundation of China (Grant Nos. 41572165, 41430531, 41125011 & 41472319);the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA05120700)
Quantitative paleoclimatic reconstruction is crucial for understanding the operation and evolution of the global climate system.For example,a quantitative paleoclimatic reconstruction for the Last Glacial Maximum(18±...
关键词：QUANTITATIVE PALEOCLIMATIC reconstruction INVERSE VEGETATION model BIOME SEASONAL climate changes Atmospheric CO2 concentration 
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