陸面產品的全球陸表變化示范研究

曾曉東++曾紅玲++徐興奎++劉波++朱家文

摘 要：該研究目標是對項目生成的長時間序列遙感數據產品進行全球陸表變化的特征分析，并開展對該產品在地球系統模式模擬中的應用示范研究。（1）分析了遙感全球陸表特征參量的時空特征及變化趨勢；（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的葉子物候的統計模型；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域尺度的分布特征；進行物候數據在全球變化研究的應用示范等；（3）進行了陸表特征參量產品在地球系統模式中的應用示范。利用GLASS數據集進行陸表-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，發現應用可體現植被長期演變的GLASS數據集后，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。

關鍵詞：陸表特征參量 空間分布及變化趨勢 物候期 地球系統模型模擬性能

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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