曾曉東++曾紅玲++徐興奎++劉波++朱家文

摘 要：該研究目標(biāo)是對項(xiàng)目生成的長時(shí)間序列遙感數(shù)據(jù)產(chǎn)品進(jìn)行全球陸表變化的特征分析，并開展對該產(chǎn)品在地球系統(tǒng)模式模擬中的應(yīng)用示范研究。（1）分析了遙感全球陸表特征參量的時(shí)空特征及變化趨勢；（2）研究植被葉子物候特征與碳積累的變化，建立了基于葉面積指數(shù)的葉子物候的統(tǒng)計(jì)模型；分析物候的空間特性，包括全球分布格局、物候日期的全球分布特征及區(qū)域尺度的分布特征；進(jìn)行物候數(shù)據(jù)在全球變化研究的應(yīng)用示范等；（3）進(jìn)行了陸表特征參量產(chǎn)品在地球系統(tǒng)模式中的應(yīng)用示范。利用GLASS數(shù)據(jù)集進(jìn)行陸表-大氣耦合模式模擬，研究其對地表氣溫、對流層氣溫、降水等氣候因素的多年平均值、變化趨勢、年際變化等的影響，發(fā)現(xiàn)應(yīng)用可體現(xiàn)植被長期演變的GLASS數(shù)據(jù)集后，可明顯改善對模擬地表氣溫的變化趨勢及年際變化等的模擬。

關(guān)鍵詞：陸表特征參量 空間分布及變化趨勢 物候期 地球系統(tǒng)模型模擬性能

Abstract： This research assesses the general features of global land surface change based on the GLASS global land surface parameter products， and studies the capability of land products in improving the simulation performance of the climate and Earth system models. The main outcomes are： （1）Providing quantitative analysis and evaluation of global land surface parameter change trend and space-time features； （2）Developing a statistical model of leaf phenology based on leaf area index， and the global vegetation phenology data sets of 1985-2010 are generated. The spatial and temporal characteristics of leaf phenology at global and regional scale are investigated. （3）GLASS LAI dataset is applied to improve the land-atmosphere couple simulation， and the impacts of land surface products on the simulation of annual mean， interannual variability and trend of climate factors such as temperature and precipitation are investigated. Results show that GLASS products can represent the long-term variation of terrestrial ecosystem characteristics and can improve the simulation of trend and interannual variability of surface temperature.

Key Words： Land surface parameter； Spatial distribution and temporal variation； Phenology； Performance of Earth system model

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