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Impacts of GCM predictions of climate change on water resources in the Upper Brazos River watershed.

机译:GCM对气候变化的预测对布拉索斯河上游流域水资源的影响。

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摘要

Climate models of earth-atmosphere interactions on a global scale are the most prominent among the approaches used by researchers to understand global climate change. Atmospheric models, termed General Circulation Models (GCMs), are currently used to model the entire globe on sub-hourly time scales with spatial scales of several degrees latitude and longitude. The computational grid scale used by GCMs is much larger than most watersheds. Therefore, means to transfer the large scale results from GCMs to the smaller watershed scale were required. This scale problem was compounded by the fact that GCM results for current climate conditions deviate from measurements made at ground stations. An approach was developed to statistically describe the predicted climate change and adjust the statistics of observed meteorologic data. A stochastic model was developed to simulate the observed meteorologic variables under current climatic conditions. Statistical analysis of the GCM output was used to indicate the magnitude and direction of change that might occur under doubled CO2 conditions.; A hydrologic model was developed for the Upper Brazos River watershed in northwest Texas. The hydrologic model was calibrated using measured climatic data and used to simulate conditions resulting from doubled CO2 conditions. The results of the changed climate conditions were compared to the existing climate results to assess the impacts of climate change on the water supply in the basin.
机译:在研究人员用来理解全球气候变化的方法中,全球范围内地球与大气相互作用的气候模型最为突出。大气模型,被称为通用环流模型(GCM),目前用于在亚小时时标上模拟整个地球,时标在数个纬度和经度上。 GCM使用的计算网格规模比大多数分水岭大得多。因此,需要将大规模结果从GCM转移到较小的分水岭规模的方法。由于当前气候条件下的GCM结果与地面站的测量结果不同,这一规模问题变得更加复杂。开发了一种方法来统计地描述预测的气候变化并调整观测到的气象数据的统计数据。建立了一个随机模型来模拟在当前气候条件下观测到的气象变量。 GCM输出的统计分析用于指示在CO 2 翻倍的情况下可能发生的变化的幅度和方向。为德克萨斯州西北部的上布拉索斯河流域开发了水文模型。利用测得的气候数据对水文模型进行了校准,并将其用于模拟因CO 2 条件加倍而产生的条件。将气候条件变化的结果与现有气候结果进行比较,以评估气候变化对流域水供应的影响。

著录项

  • 作者

    Dorman, Troy Matthew.;

  • 作者单位

    Texas Tech University.;

  • 授予单位 Texas Tech University.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 181 p.
  • 总页数 181
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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