...
首页> 外文期刊>Hydrology and Earth System Sciences >A simple lumped model to convert air temperature into surface water temperature in lakes
【24h】

A simple lumped model to convert air temperature into surface water temperature in lakes

机译:一个简单的集总模型将湖泊中的空气温度转换为地表水温度

获取原文
获取原文并翻译 | 示例

摘要

Water temperature in lakes is governed by a complex heat budget, where the estimation of the single fluxes requires the use of several hydro-meteorological variables that are not generally available. In order to address this issue, we developed Air2Water, a simple physically based model to relate the temperature of the lake superficial layer (epilimnion) to air temperature only. The model has the form of an ordinary differential equation that accounts for the overall heat exchanges with the atmosphere and the deeper layer of the lake (hypolimnion) by means of simplified relationships, which contain a few parameters (from four to eight in the different proposed formulations) to be calibrated with the combined use of air and water temperature measurements. The calibration of the parameters in a given case study allows for one to estimate, in a synthetic way, the influence of the main processes controlling the lake thermal dynamics, and to recognize the atmospheric temperature as the main factor driving the evolution of the system. In fact, under certain hypotheses the air temperature variation implicitly contains proper information about the other major processes involved, and hence in our approach is considered as the only input variable of the model. In particular, the model is suitable to be applied over long timescales (from monthly to interannual), and can be easily used to predict the response of a lake to climate change, since projected air temperatures are usually available by large-scale global circulation models. In this paper, the model is applied to Lake Superior (USA-Canada) considering a 27 yr record of measurements, among which 18 yr are used for calibration and the remaining 9 yr for model validation. The calibration of the model is obtained by using the generalized likelihood uncertainty estimation (GLUE) methodology, which also allows for a sensitivity analysis of the parameters. The results show remarkable agreement with measurements over the entire data period. The use of air temperature reconstructed by satellite imagery is also discussed.
机译:湖泊中的水温受复杂的热量预算支配,在这种情况下,对单个通量的估算需要使用一些通常无法获得的水文气象变量。为了解决这个问题,我们开发了Air2Water,这是一个简单的基于物理的模型,仅将湖泊表层(表皮)的温度与气温相关联。该模型具有一个常微分方程的形式,该方程通过简化的关系说明了与大气和湖泊深层(湖泊膜)的整体热交换,其中包含一些参数(在不同的提议中从四个到八个)配方)要结合使用空气和水温测量进行校准。在给定的案例研究中,参数的校准允许以综合的方式估算控制湖泊热动力学的主要过程的影响,并将大气温度识别为驱动系统发展的主要因素。实际上,在某些假设下,气温变化隐含了有关其他主要过程的正确信息,因此在我们的方法中,该温度被认为是模型的唯一输入变量。特别是,该模型适用于较长的时间范围(从每月到每年一次),并且可以轻松地用于预测湖泊对气候变化的响应,因为预计的气温通常可以通过大规模的全球环流模型获得。 。在本文中,考虑27年的测量记录,将该模型应用于苏必利尔湖(美国-加拿大),其中18年用于校准,其余9年用于模型验证。通过使用广义似然不确定性估计(GLUE)方法获得模型的校准,该方法也可以对参数进行敏感性分析。结果表明,在整个数据周期内,测量结果均具有显着一致性。还讨论了通过卫星图像重建的气温的使用。

著录项

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