1.Based on the data from field experiment, CERES-Wheat 2.0 model was selected to study its potential application in field water management and irrigation decision-making in winter wheat under limited irrigation in Hebei province.
本文在田间试验的基础上，针对河北冬小麦产区，以CERES-Wheat 2.0模型为研究工具，以我国的主要作物小麦为研究材料，探讨了CERES-Wheat模型在麦田水分管理和灌溉决策方面的潜在应用。
2.Twenty years (1981-2000) field experiments data over 24 stations were selected to test CERES-Wheat model capacity of simulating yield, growing stage and so on. Also, 3-years (1981-1983) simulated weather data by PRECIS were provided to examine how to link the output of PRECIS and the CERES-Wheat model. The rainfed and irrigated wheat production under A2 climate change scenario, without and with CO_(2) fertilization effect, were simulated respectively.
利用全国24个小麦站点1981-2000年的田间实测资料对作物模型进行了检验和有关参数的调整，并且将PRECIS模拟的81-83年气象数据与实测气象数据对比分析，然后嵌套81-83各站点田间实验数据对PRECIS和CERES-Wheat耦合模拟能力进行验证和调整。
3.In order to predict the future risk of climate change on Chinese wheat production,firstly,fifteen-year ECMWF re-analysis data(1979~1993) is used as quasi-observed boundary conditions to drive regional climate modeling system-PRECIS,then the dataset is employed to test the effects of feeding CERES-Wheat model with RCM daily outputs directly via comparing the simulated results and the station observation.
为了分析在未来气候变化情景下中国小麦生产可能遇到的风险,以15年ECMWF再分析实验数据(1979￣1993)作为边界条件驱动PRECIS区域气候模式模拟产生作物模型所需要的气候资料并输入CERES-Wheat模型,验证CERES-Wheat模型与区域气候模式PRECIS结合的模拟能力。
4.By using B2 climate change scenario produced by PRECIS (Providing Regional Climates for Impacts Studies) that developed by the UK Hadley Center and the wheat yield data outputted by CERES-Wheat model, the sensitivity and vulnerability of wheat to future climate change in China were studied based on the yield variation and GIS mapping.
采用英国Hadley 中心PRECIS 模型输出的B2 气候情景,结合CERES-Wheat 作物模型数据,依据产量的变化率和GIS 技术对中国未来(2070s)小麦的气候变化敏感性和脆弱性进行了研究。
5.In this paper, CERES-Wheat model, calibrated and validated with historical recorded data of in situ meteorology and crop field experiments, were linked with Regional Climate Model (RCM)-PRECIS to assess the impact of climate change on wheat production in the main planting areas over China.
本文利用IPCC推荐的A2气候变化情景，在对CERES-Wheat作物模型进行详细验证的基础上，将区域气候模式PRECIS的模拟结果与作物模型CERES-Wheat相连接，同时考虑到CO_2对小麦的直接施肥作用，模拟了未来气候变化后我国雨养和灌溉小麦的变化趋势。
6.The crop models of CERES-Wheat, calibrated and validated, were linked with Regional Climate Model (RCM)-PRECIS to assess the impact of climate change on wheat in their main growing areas in North China.
本研究在CERES-Wheat模型的基础上,利用北方10 个站点的田间试验数据、土壤资料和天气数据组建了不同土壤水分条件下小麦生长发育的动态模拟模型,分析适合我国北方小麦生产的最适水分条件。
7.CERES-Wheat model was sensitive to irrigation level and performed well in reflecting the impact of irrigation level on wheat growth and development.
CERES-Wheat模型对灌溉措施有较高的敏感性，它可以较好地反映不同灌溉处理对冬小麦生长发育的影响。
8.CERES-Wheat model performed well in simulating stems per square meter of wheat under different irrigation level and the result was accurate.
CERES-Wheat模型对限水条件下小麦的茎蘖动态模拟较好，模拟值与实测值拟合较好，模拟的准确度较高。
9.VALIDATION AND MODIFICATION OF CERES WHEAT MODEL IN WINTER WHEAT PRODUCTION REGION OF CHINA
CERES-Wheat模型在我国冬小麦主产区的适用性验证及订正
10.The gradual effects of climate change on rice,winter wheat and soybean productions in the next 50 years in the middle and lower valley of the Yangtze River were assessed by connecting the crop models of CERES-Wheat,CERES-Rice and SOYGRO with the GISS GCM Transient Runs.
利用CERES Wheat、CERES Rice、SOYGRO等作物模型与大气环流模型GISSTransientRuns耦合 ,分析气候变化对长江中下游平原水稻、冬小麦和大豆生产的阶段性影响。
