Shallow near-surface lapse rates and their connection to glacier meteorology on Storglaciären and Rabots glaciär, Northern Sweden

Glacier melt is strongly impacted by climate and meteorology. Temperature lapse rates are used to model glacier melt, and the accuracy of the spatial distribution of modelled melt can be impacted by the lapse rate used in modelling. Additionally, the observed spatial distribution of melt is highly t...

Full description

Bibliographic Details
Main Author: Taveirne, Moon
Format: Bachelor Thesis
Language:English
Published: Stockholms universitet, Institutionen för naturgeografi 2022
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-210566
Description
Summary:Glacier melt is strongly impacted by climate and meteorology. Temperature lapse rates are used to model glacier melt, and the accuracy of the spatial distribution of modelled melt can be impacted by the lapse rate used in modelling. Additionally, the observed spatial distribution of melt is highly temporally variable. Whether this variability is caused by lapse rate is unknown. Storglaciären and Rabots glaciär in Northern Sweden were equipped with temperature measurement stations at both low and high glacier elevations over the 2014 ablation season. From these measurements, surface lapse rates 0.1 m above the glacier surface, and near-­surface lapse rates 2 m above the surface, were calculated for the two glaciers. The lapse rates were then compared to meteorological variables measured in the middle of the glaciers’ elevation range. In addition, a comparison was made with ablation data collected via ablation stakes throughout the melt season. On both Storglaciären and Rabots glaciär, the surface lapse rate is −0.28 °C (100m)−1 averaged over the ablation season. The season ­average near­-surface lapse rate is also the same for both glaciers, at −0.37 °C (100m)−1. The lapse rate values are shallow in comparison to non-­glaciated mountain areas. The meteorological variables of wind speed and precipitation affect surface lapse rate on short timescales. Long-­term patterns in surface lapse rate are influenced by incoming radiation, humidity and precipitation. In addition, topographic shading and albedo impact the incoming short­-wave radiation, causing diurnal and seasonal fluctuations in surface lapse rate. A cumulative approach to lapse rate using a positive degree day gradient reflects the pattern of ablation gradients measured through the ablation season. However, a lack of data means no robust conclusions can be drawn from this comparison. Many melt modelling studies use steeper lapse rates in ablation and mass balance modelling than observed over Storglaciären and Rabots glaciär. This can lead to ...