Abstract

Abstract. The advances in satellite technology in recent years have made feasible the acquisition of high-resolution information on the Earth's surface. Examples of such information include elevation and land use, which have become more detailed. Including this information in numerical atmospheric models can improve their results in simulating lower boundary forced events, by providing detailed information on their characteristics. Consequently, this work aims to study the sensitivity of the weather research and forecast (WRF) model to different topography as well as land-use simulations in an extreme precipitation event. The test case focused on a topographically driven precipitation event over the island of Madeira, which triggered flash floods and mudslides in the southern parts of the island. Difference fields between simulations were computed, showing that the change in the data sets produced statistically significant changes to the flow, the planetary boundary layer structure and precipitation patterns. Moreover, model results show an improvement in model skill in the windward region for precipitation and in the leeward region for wind, in spite of the non-significant enhancement in the overall results with higher-resolution data sets of topography and land use.

Highlights

  • Topography plays an important role in atmospheric dynamics, as it can force flow dynamics and precipitation patterns and change atmospheric water vapour concentration

  • Due to its pivotal influence on orographic precipitation understanding, this topic has been the subject of several studies for the past decade

  • The authors showed that there is a significant relationship between the flow blocking and splitting effects and precipitation distribution and intensity

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Summary

Introduction

Topography plays an important role in atmospheric dynamics, as it can force flow dynamics and precipitation patterns and change atmospheric water vapour concentration. Due to the complexity of topographically forced mechanisms, studies concerning idealised situations such as the uniformly stratified moist flow over a Gaussian-shaped circular mountain have been performed by several authors, namely Jiang (2003), Colle (2004), and Kunz and Kottmeier (2006a). These works perform sensitivity studies in order to determine the relationship between the mountain’s dimension and the precipitation intensity and distribution. With regards to model parameters, Kunz and Kottmeier (2006a) showed that the results are less sensitive to model parameterisations than to ambient conditions

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