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Abstract
Abstract. In this paper a new advection scheme for the online coupled chemical–weather prediction model Enviro-HIRLAM is presented. The new scheme is based on the locally mass-conserving semi-Lagrangian method (LMCSL), where the original two-dimensional scheme has been extended to a fully three-dimensional version. This means that the three-dimensional semi-implicit semi-Lagrangian scheme which is currently used in Enviro-HIRLAM is largely unchanged. The HIRLAM model is a computationally efficient hydrostatic operational short-term numerical weather prediction model, which is used as the base for the online integrated Enviro-HIRLAM. The new scheme is shown to be efficient, mass conserving, and shape preserving, while only requiring minor alterations to the original code. It still retains the stability at long time steps, which the semi-Lagrangian schemes are known for, while handling the emissions of chemical species accurately. Several mass-conserving filters have been tested to assess the optimal balance of accuracy vs. efficiency.
Highlights
In numerical weather prediction (NWP) and atmospheric chemical transport (ACT) models, the numerical methods used for advection are chosen based upon the specific use of the model, e.g. short-term weather prediction, long-term climate prediction, air pollution modelling, or emergency preparedness models
As is done in integrated chemical weather forecasting (CWF) (Lawrence et al, 2005), the original less important properties might not be negligible any more or the transport scheme used becomes insufficient for the new problem, and the combined numerical schemes should be revised (Baklanov, 2008, 2010)
The HIgh Resolution LimitedArea Model (HIRLAM) model is a well proven and numerically efficient hydrostatic NWP model; some of the properties originally considered negligible have an impact on ACT modelling, as shown in this paper
Summary
In numerical weather prediction (NWP) and atmospheric chemical transport (ACT) models, the numerical methods used for advection are chosen based upon the specific use of the model, e.g. short-term weather prediction, long-term climate prediction, air pollution modelling, or emergency preparedness models. As is done in integrated chemical weather forecasting (CWF) (Lawrence et al, 2005), the original less important properties might not be negligible any more or the transport scheme used becomes insufficient for the new problem, and the combined numerical schemes should be revised (Baklanov, 2008, 2010). In this paper the Enviro-HIRLAM model, an online integrated chemistry extension to the HIgh Resolution Limited. The HIRLAM model is a well proven and numerically efficient hydrostatic NWP model; some of the properties originally considered negligible have an impact on ACT modelling, as shown in this paper.
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