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Mathematical Modelling of Atmospheric Convection for better Regional Climate Change Prediction

大气对流数学模型以更好地预测区域气候变化

基本信息

批准号：
1787146
负责人：
金额：
--
依托单位：
University of Reading
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1787146
关键词：
Mathematical Modelling Atmospheric Convection better

项目摘要

The simulation of clouds and precipitation is one of the weakest aspects of weather and climate models and is known to contribute to errors in predicting the regional impacts of climate change. Clouds and precipitation are controlled by atmospheric convection which usually occurs on spatial scales smaller than the grid scale and consequently must be represented by a parameterisation. Questionable assumptions are made in convection parameterisations such as neglecting mass transport by convection.A new theoretical approach to convection parameterisation uses conditional averaging to calculate two values of momentum, temperature and density per atmospheric grid box: one for the convectively stable part of the flow and one for the convectively active part. This approach will enable transport of mass by convection. However, numerical solution of the resulting equations could have severe time-step restrictions. This project will involve designing a numerical technique for solving the conditionally averaged equations for representing convection that will not require a very small time-step. Support will be provided for the student to implement their numerical method in OpenFOAM, a C++ toolbox for solving differential equations.This project is part of the ``Revolutionizing Convective Parameterization'' project at Reading which is part of the NERC/Met Office programme ``Understanding and Representing Atmospheric Convection across Scales''. The student will therefore be part of a national network. This is an opportunity to contribute to model development that will directly feed in to weather and climate forecasting.

云和降水的模拟是天气和气候模型中最薄弱的环节之一，而且据知会导致预测气候变化的区域影响时出现错误。云和降水由大气对流控制，通常发生在比网格尺度小的空间尺度上，因此必须用参数化表示。对流参数化的一种新的理论方法是利用条件平均法计算每个大气网格中的动量、温度和密度的两个值：一个用于对流稳定部分，另一个用于对流活跃部分。这种方法将能够通过对流进行质量输送。然而，所得到的方程的数值解可能有严格的时间步长限制。这个项目将涉及设计一种数值技术，用于求解代表对流的条件平均方程，这将不需要很小的时间步长。支持学生在OpenFOAM中实现他们的数值方法，OpenFOAM是一个用于求解微分方程的C++工具箱。该项目是阅读的“革命性对流参数化”项目的一部分，该项目是NERC/Met Office计划"理解和表示跨尺度的大气对流“的一部分。因此，学生将成为全国网络的一部分。这是一个为直接用于天气和气候预报的模型开发做出贡献的机会。