Development of a Copula-Based Weather Generator for Assessment of Climate Impact on the Hydrodynamic and Ecologic State of Highly Sensitive Aquatic Systems Using the Example of Lake Constance

湖泊系统对变化的气候条件的响应具有重要的实际意义，是一个正在进行研究的问题。在为湖泊气候影响建模提供输入数据时，有两个一般的不确定性确定了工作的背景：(1)湖泊系统的反应是非线性的，不完全清楚。(2)气候模式（甚至区域模式）不能提供所需的离散化，并且具有很大的内在不确定性。为了以合理的方式处理这两种不确定性，我们希望开发一种方法：(1)允许湖泊建模者通过定义变化的天气本身来获得更深入的过程理解；(2)提供随机缩小尺度的气候预测。我们将开发一种结合发生概率和强度的新方法来解决降雨模拟的困难，并将现有的单点天气生成器扩展到多点模拟。copula计划在传统的依赖措施不适合的地方使用。水动力和生态模型将以康斯坦茨湖为例进行，该湖是450万人的饮用水资源。

The response of lake systems to changed climatic conditions has importantpractical implications and is a question of ongoing research. When providing input data for climate impact modelling on lakes, two general uncertainties set the background on which to work on:(1) Lake system reactions are non-linear and not fully understood. (2) Climate models (even regional ones) do not offer the discretization needed and come with great inherent uncertainties.To handle both uncertainties in a reasonable manner, we want to develop a method that (1) allows lake modellers to gain deeper process understanding by defining changed weather themselves and (2) provides stochastically downscaled climate projections. We will develop a novel approach - combining occurrence probability and intensity - to deal with the difficulty of rain simulation and extend an existing singlesite weather generator to multisite simulation. Copulas are planned to be used where conventional measures of dependency are not suitable. Hydrodynamic and ecological modelling will be done on the example of Lake Constance, a lake that serves as a drinking water resource for 4.5 M people.