首页> 外文期刊>Journal of Hydrology >The Great Lakes Runoff Intercomparison Project Phase 1: Lake Michigan (GRIP-M)
【24h】

The Great Lakes Runoff Intercomparison Project Phase 1: Lake Michigan (GRIP-M)

机译:大湖径流比对项目第一阶段:密歇根湖(GRIP-M)

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

We assembled and applied five models (one of which included three different configurations) to the Lake Michigan basin to improve our understanding of how differences in model skill at simulating total runoff to Lake Michigan relate to model structure, calibration protocol, model complexity, and assimilation (i.e. replacement of simulated discharge with discharge observations into historical simulations), and evaluate historical changes in runoff to Lake Michigan. We found that the performance among these models when simulating total runoff to the lake varied relatively little, despite variability in model structure, spatial representation, input data, and calibration protocol. Relatively simple empirical, assimilative models, including the National Oceanic and Atmospheric Administration (NOAA) Great Lakes Environmental Research Laboratory (GLERL) area ratio-based model (ARM) and the United States Geological Survey (USGS) Analysis of Flows in Networks of CHannels (AFINCH) model, represent efficient and effective approaches to propagating discharge observations into basin-wide (including gaged and ungaged areas) runoff estimates, and may offer an opportunity to improve predictive models for simulating runoff to the Great Lakes. Additionally, the intercomparison revealed that the median of the simulations from non-assimilative models agrees well with assimilative models, suggesting that using a combination of different methodologies may be an appropriate approach for estimating runoff into the Great Lakes. We then applied one assimilative model (ARM) to the Lake Michigan basin and found that there was persistent reduction in the amount of precipitation that becomes runoff following 1998, corresponding to a period of persistent low Lake Michigan water levels. The study was conducted as a first phase of the Great Lakes Runoff Intercomparison Project, a regional binational collaboration that aims to systematically and rigorously assess a variety of models currently used (or that could readily be adapted) to simulate basin-scale runoff to the North American Laurentian Great Lakes. (C) 2014 Elsevier B.V. All rights reserved.
机译:我们向密歇根湖盆地组装并应用了五个模型(其中一个包括三种不同的构造),以加深我们对模拟密歇根湖总径流的模型技巧差异与模型结构,校准协议,模型复杂性和同化关系的了解(即用排放观测值将模拟排放量替换为历史模拟值),并评估密歇根湖径流的历史变化。我们发现,尽管模型结构,空间表示,输入数据和校准协议存在差异,但是在模拟流向湖泊的总径流时,这些模型之间的性能变化相对较小。相对简单的经验同化模型,包括美国国家海洋和大气管理局(NOAA)大湖环境研究实验室(GLERL)基于面积比的模型(ARM)和美国地质调查局(USGS)的渠道网络流量分析( AFINCH)模型,代表了将流量观测结果传播到整个盆地范围内(包括被测量的地区和未测量的地区)径流量估计的有效方法,并且可能为改进模拟大湖径流量的预测模型提供机会。此外,比较结果表明,非同化模型的模拟中值与同化模型非常吻合,这表明使用不同方法的组合可能是估算流入大湖的径流的合适方法。然后,我们对密歇根湖流域应用了一种同化模型(ARM),发现1998年以后降雨径流的降水量持续减少,这对应于密歇根湖水位持续较低的时期。该研究是大湖地区径流比对项目的第一阶段,该项目是一项区域性的跨国合作,旨在系统地和严格地评估当前使用的(或很容易适应的)各种模型,以模拟北部流域的径流美国Laurentian大湖区。 (C)2014 Elsevier B.V.保留所有权利。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号