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Dynamical Drivers of the Local Wind Regime in a Himalayan Valley
Author(s) -
Potter Emily R.,
Orr Andrew,
Willis Ian C.,
Bannister Daniel,
Salerno Franco
Publication year - 2018
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1029/2018jd029427
Subject(s) - advection , diurnal cycle , glacier , structural basin , climatology , prevailing winds , wind speed , pressure gradient , environmental science , daytime , geology , atmospheric sciences , meteorology , geography , geomorphology , physics , thermodynamics
Abstract Understanding the local valley wind regimes in the Hindu‐Kush Karakoram Himalaya is vital for future predictions of the glacio‐hydro‐meteorological system. Here the Weather Research and Forecasting model is employed at a resolution of 1 km to investigate the forces driving the local valley wind regime in a river basin in the Nepalese Himalaya, during July 2013 and January 2014. Comparing with observations shows that the model represents the diurnal cycle of the winds well, with strong daytime up‐valley winds and weak nighttime winds in both months. A momentum budget analysis of the model output shows that in the summer run the physical drivers of the near‐surface valley wind also have a clear diurnal cycle, and are dominated by the pressure gradient, advection, and turbulent vertical mixing, as well as a nonphysical numerical diffusion term. By contrast, the drivers in the winter run have a less consistent diurnal cycle. In both months, the pressure gradient, advection, numerical diffusion, and Coriolis terms dominate up to 5,000 m above the ground. The drivers are extremely variable over the valley, and also influenced by the presence of glaciers. When glaciers are removed from the model in the summer run, the wind continues further up the valley, indicating how the local valley winds might respond to future glacier shrinkage. The spatial variability of the drivers over both months is consistent with the complex topography in the basin, which must therefore be well represented in weather and regional climate models to generate accurate outputs.

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