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QUANTIFYING THE CONTRIBUTIONS OF ENVIRONMENTAL PARAMETERS TO CERES SURFACE NET RADIATION ERROR IN CHINA
CERES surface net radiation China environmental parameters error contributions
2018/5/15
Error source analyses are critical for the satellite-retrieved surface net radiation (Rn) products. In this study, we evaluate the Rn error sources in the Clouds and the Earth’s Radiant Energy System ...
基于CSM-CERES-Wheat模型中Priestley-Taylor (PT)和FAO56 Penman-Monteith (PM)2种蒸发蒸腾量估算方法分别模拟了冬小麦2011—2012年和2012—2013年2个生长季的累积蒸发蒸腾量、日蒸发蒸腾量、土壤含水率、地上干物质以及籽粒产量,并对2种方法的模拟结果进行了评价和比较。对2种方法模拟的蒸发蒸腾量值与试验区域内大型称量式蒸渗仪的实测结果...
DEVELOPMENT OF A NEW GEOSPATIAL DATA SHARING/OVERLAY SYSTEM FOR LAND ENVIRONMENTAL STUDIES – CERES GAIA –
Data sharing, Web-based Database Geospatial data Open system Land applications
2014/4/28
A new geospatial data sharing/overlay system, CEReS Gaia, has developed. The purpose of the system development is to promote
land surface environmental studies. The system has developed to meet the ...
CERES-Wheat作物模型参数全局敏感性分析
作物 敏感性分析 模型
2011/6/15
作物生长模型广泛应用于区域作物估产研究与应用之中,如何选择最佳作物模型优化参数是获得较好模拟预测结果的关键之一。研究选择河南洛阳为试验区,应用扩展傅里叶振幅灵敏度检验(EFAST)法对CERES-Wheat模型作物参数及田间管理参数进行了全局敏感性分析。结果表明,完成一片叶生长所需积温、最适温度条件下通过春化阶段所需天数、光周期参数、最佳条件下标准籽粒质量参数、开花期单位株冠质量的籽粒数参数等指标...
Tateishi Laboratory, Center for Environmental Remote Sensing (CEReS), Chiba University
Tateishi Laboratory Center for Environmental Remote Sensing Chiba University
2010/11/24
Tateishi Laboratory, Center for Environmental Remote Sensing (CEReS), Chiba University。