Preprints
https://doi.org/10.5194/egusphere-2025-3756
https://doi.org/10.5194/egusphere-2025-3756
12 Sep 2025
 | 12 Sep 2025
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Predictability of mean summertime diurnal winds over ungauged mountain glaciers

J. Krishnanand, Argha Banerjee, R. Shankar, Himanshu Kaushik, Mohd. Farooq Azam, and Chandan Sarangi

Abstract. Glacier and valley winds are typical characteristics of the microclimate of glacierised valleys. The speed of such winds determines the turbulent heat flux, which contributes to ice melt. Sparse in-situ meteorological measurements and the inability of large-scale climate data products to capture such local winds introduce uncertainty into glacier- to global-scale mass-balance calculations. Here, we propose an empirical model having three parameters, namely, the mean wind speed, the sensitivity of the diurnal winds to temperature, and a response time, to predict the mean summertime diurnal wind speed on valley glaciers based only on reanalysis temperature. Utilising data from 28 weather stations on 18 valley glaciers across the globe, we show that the model reproduces the observed mean summertime diurnal wind speed reasonably well. Furthermore, we show that the three model parameters can be estimated at any glacier using a few topographic variables, allowing prediction of wind speed on ungauged glaciers. A leave-one-out analysis of the stations suggests a root-mean-squared error of 0.76 ms-1 on average, which is a ∼300 % improvement over a standard reanalysis product. The performance of the model is largely independent of the number of stations available for calibration, as long as it is 20 or more. More work is needed to explain the physical mechanisms underlying the predictability of the mean diurnal wind speed on ungauged glaciers based solely on reanalysis temperature and a few topographic variables. The presented model can improve wind speed estimates on ungauged glaciers, leading to better glacier mass-balance calculations at various spatial scales.

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J. Krishnanand, Argha Banerjee, R. Shankar, Himanshu Kaushik, Mohd. Farooq Azam, and Chandan Sarangi

Status: open (until 24 Oct 2025)

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J. Krishnanand, Argha Banerjee, R. Shankar, Himanshu Kaushik, Mohd. Farooq Azam, and Chandan Sarangi
J. Krishnanand, Argha Banerjee, R. Shankar, Himanshu Kaushik, Mohd. Farooq Azam, and Chandan Sarangi
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Short summary
Glacierised valleys create unique local-scale winds. Most glaciers in the world are ungauged, making it hard to estimate the melt contribution of heat exchanged by these winds. We developed a model that predicts wind speed on any glacier without requiring any in-situ data, enabling wind predictions on ungauged glaciers. Our predictions are about three times more accurate than a standard climate product, helping improve estimates of glacier melt and runoff in a warming climate.
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