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4篇 您的检索式:作者名="Robert E.DICKINSON"
    题名 作者 年代 出处 被引量
1大气和植被生态及土壤系统水文过程相互作用的一些研究显示文摘综述近年来作者对单变量土壤水分演变模式和由作者提出的几种大气和植被生态及土壤系统水文过程相互作用模式 (给定植被冠层的三层相互作用模式、土壤和植被生态水文相互作用的三变量模式和五变量模式 )所作的理论分析和数值模拟的结果 ,鲜明和简洁地显示出这些模式能抓住这个复杂的系统最本质最基本的特征。在给定的大气状态情况下 ,这个复杂系统具有鲜明的多时间尺度现象、对输入响应的频率“红移”现象、多平衡态和极限环、分叉、突变、自组织过程、再生现象、“沙漠化”和混沌现象 ,这些都在实际中得到验证。特别是作者提出的植被 (尤其是枯落物 )“遮蔽机制”的减弱可能是过度放牧导致沙漠化在短期内就显效的主要原因 ,而在很长期间或气候变迁所导致的沙漠化过程中 ,则它和Charney提出的“反照率机制”可能同时起作用 ,建议作进一步的数值模拟加以验证。作者还提出了对响应特征时间尺度第一近似进行修正的方法。曾庆存 曾晓东 王爱慧 Robert E.Dickinson Xubin Zeng Samuel S.P.Shen 2005大气科学2005,29,1:15
2How Does the Partitioning of Evapotranspiration and Runoff between Different Processes Affect the Variability and Predictability of Soil Moisture and Precipitation?显示文摘Water stored as part of the land surface is lost to evapotranspiration and runoff on different time scales,and the partitioning between these time scales is important for modeling soil water in a climate model.Different time scales are imposed on evapotranspiration primarily because it is derived from differentreservoirs with different storage capacities, from the very rapid evaporation of canopy stores to the slowremoval by transpiration of rooting zone soil moisture. Runoff likewise ranges in time scale from rapidsurface terms to the slower base-flow. The longest time scale losses of water determine the slow variationof soil moisture and hence the longer time scale effects of soil moisture on precipitation. This paper showswith a simple analysis how shifting the partitioning of evapotranspiration between the different reservoirsaffects the variability of soil moisture and precipitation. In particular, it is concluded that a shift toshorter time scale reservoirs shifts the variance of precipitation from that which is potentially predictableto unpredictable.Robert E.Dickinson Guiling WANG Xubin Zeng 曾庆存 2003Advances in Atmospheric Sciences2003,20,3:9
3强对流过程对大尺度模式洋面通量加强的参数化研究与进展显示文摘张强 ZENG Xu-bin ROBERT E.Dickinson DANIEL E.Johnson TAO Wei-kuo 2001海洋学报2001,23,3:7
4Evaluating Common Land Model Energy Fluxes Using FLUXNET Data显示文摘Given the crucial role of land surface processes in global and regional climates, there is a pressing need to test and verify the performance of land surface models via comparisons to observations. In this study, the eddy covariance measurements from 20 FLUXNET sites spanning more than 100 site-years were utilized to evaluate the performance of the Common Land Model(Co LM) over different vegetation types in various climate zones. A decomposition method was employed to separate both the observed and simulated energy fluxes, i.e., the sensible heat flux, latent heat flux, net radiation, and ground heat flux, at three timescales ranging from stepwise(30 min) to monthly. A comparison between the simulations and observations indicated that Co LM produced satisfactory simulations of all four energy fluxes, although the different indexes did not exhibit consistent results among the different fluxes. A strong agreement between the simulations and observations was found for the seasonal cycles at the 20 sites, whereas Co LM underestimated the latent heat flux at the sites with distinct dry and wet seasons, which might be associated with its weakness in simulating soil water during the dry season. Co LM cannot explicitly simulate the midday depression of leaf gas exchange, which may explain why Co LM also has a maximum diurnal bias at noon in the summer. Of the eight selected vegetation types analyzed, Co LM performs best for evergreen broadleaf forests and worst for croplands and wetlands.Xiangxiang ZHANG Yongjiu DAI Hongzhi CUI Robert E.DICKINSON Siguang ZHU Nan WEI Binyan YAN Hua YUAN Wei SHANGGUAN Lili WANG Wenting FU 2017Advances in Atmospheric Sciences2017,34,9:4
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