Precipitation Over Complex Mountain Terrain in a Convection-Permitting Regional Climate Model

IF 3.4 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Stephen J. Stuart, Samuel M. Dean, Andrew N. Mackintosh, Abha Sood, Peter B. Gibson, Stuart Moore, Elizabeth J. Kendon
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Abstract

Orographic precipitation is a critical freshwater source and major flooding hazard, but its distribution and behavior over complex terrain are often uncertain due to sparse observations. We examine precipitation and its drivers in one of the wettest regions in the world, the Southern Alps of New Zealand (NZ), using the first multi-decadal simulation by a convection-permitting regional climate model across all mainland NZ at 2.2 km grid-scale. Model skill is primarily assessed against direct measurements by more than 170 rain gauges to avoid uncertainty commonly introduced by gridded observations in remote regions. Peak intensity and duration of sub-daily rainfall over mountains appear markedly improved in the 2.2 km model relative to the 12 km driving model. The orientation of water vapor flux relative to the mountain barrier strongly affects both climatological and daily extreme precipitation. Transects illustrate the influence of steep local topography on strong landfalling atmospheric rivers to produce high vertical velocities and extremely high accumulations of rainfall over windward upper mountain flanks, which do not appear unreasonable against available gauge observations. These transects also reveal the finer spatial structure of mountain waves in the 2.2 km model, which may contribute to its more realistic windward enhancement of orographic precipitation, but with excessive leeward precipitation and an annual mean dry bias over mountains. Despite the computational burden, these results support further targeted dynamical modeling at kilometer scales to improve physical understanding of precipitation in the current climate and its potential future change in NZ and other mountainous regions of the world.

Abstract Image

允许对流的区域气候模式中复杂山地地形上的降水
地形降水是一种重要的淡水资源和主要的洪涝灾害,但由于观测稀疏,其在复杂地形上的分布和行为往往不确定。我们研究了世界上最潮湿的地区之一,新西兰南阿尔卑斯山(NZ)的降水及其驱动因素,使用了第一个多年代际模拟,该模拟是由一个允许对流的区域气候模型在新西兰所有大陆的2.2公里网格尺度上进行的。模式技能主要是根据170多个雨量计的直接测量来评估的,以避免在偏远地区网格化观测通常带来的不确定性。在2.2 km模式下,山区亚日降水的峰值强度和持续时间明显优于12 km模式。水汽通量相对于高山屏障的方向对气候和日极端降水都有强烈的影响。样带显示了陡峭的当地地形对强登陆大气河流的影响,从而在上风的高山两侧产生高垂直速度和极高的降雨量积累,根据现有的测量观测,这似乎不是不合理的。这些样带还揭示了2.2 km模式中更精细的山地波空间结构,这可能有助于其更真实的迎风增强地形降水,但背风降水过多,山区平均偏干。尽管有计算负担,但这些结果支持进一步在公里尺度上进行有针对性的动力学建模,以提高对新西兰和世界其他山区当前气候下降水及其潜在未来变化的物理认识。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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