Reanalysis of Scottish mountain snow conditions

Mountain snowline is important as it is an easily identifiable measure of the phase state of water in the landscape. However, frequent observation of the snowline in Scotland is difficult as reduced visibility is common, obscuring ground based and remotely sensed methods. Changes in seasonal snowlin...

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Bibliographic Details
Published in:Scottish Geographical Journal
Main Author: Spencer, Michael Robert
Other Authors: Essery, Richard, Hulton, Nick, Natural Environment Research Council (NERC)
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: The University of Edinburgh 2016
Subjects:
Online Access:http://hdl.handle.net/1842/25527
id ftunivedinburgh:oai:era.ed.ac.uk:1842/25527
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spelling ftunivedinburgh:oai:era.ed.ac.uk:1842/25527 2024-06-09T07:48:20+00:00 Reanalysis of Scottish mountain snow conditions Spencer, Michael Robert Essery, Richard Hulton, Nick Natural Environment Research Council (NERC) 2016-11-28 application/pdf http://hdl.handle.net/1842/25527 en eng The University of Edinburgh Spencer, M., Essery, R., Chambers, L., and Hogg, S. The historical snow survey of Great Britain: Digitised data for Scotland. Scottish Geographical Journal, 130(4): 252–265, 2014, DOI:10.1080/14702541.2014.900184. Spencer, M. and Essery, R. Scottish snow cover dependence on the North Atlantic Oscillation index. Hydrology Research, 47(3): 619–629, 2016, DOI:10.2166/nh.2016.085. http://hdl.handle.net/1842/25527 Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ snow flooding hydrology climate Thesis or Dissertation Doctoral PhD Doctor of Philosophy 2016 ftunivedinburgh https://doi.org/10.1080/14702541.2014.90018410.2166/nh.2016.085 2024-05-10T03:12:17Z Mountain snowline is important as it is an easily identifiable measure of the phase state of water in the landscape. However, frequent observation of the snowline in Scotland is difficult as reduced visibility is common, obscuring ground based and remotely sensed methods. Changes in seasonal snowline elevation can indicate long-term climate trends. Snow cover influences local flora and fauna, and knowledge of snowline can inform management of water and associated risks. Complete Scottish Snow Survey of Great Britain (SSGB) records were transcribed and form the primary snow cover dataset used for this work. Voluntary observers collected the SSGB between 1945 and 2007. Other snow cover data used includes remotely sensed (Moderate-resolution Imaging Spectroradiometer: MODIS) and Met Office station observations (as point observations and interpolated to form UK Climate Projections 2009, UKCP09). I present a link between the North Atlantic Oscillation (NAO) index and days of snow cover in Scotland between winters from 1875 to 2013. Broad (5 km resolution) scale datasets (e.g. UKCP09) are used to extract nationwide patterns, supporting these findings using SSGB hillslope scale data. The strongest correlations between the NAO index and snow cover are found in eastern and southern Scotland; these results are supported by both SSGB and UKCP09 data. Correlations between NAO index and snow cover are negative with the strongest relationships found for elevations below 750 m. A degree-day snow model was developed using daily precipitation and temperature data to derive snow cover and melt. This model was run between 1960 and 2011 using point data from five Met Office stations and data on a 5 km grid (UKCP09 temperature and CEH GEAR precipitation) across Scotland. Due to CEH GEAR data underestimating precipitation at higher elevations, absolute values of melt are uncertain. However, relative correlations are apparent, e.g. the proportion of precipitation as melt and number of days with snow cover each year are generally ... Doctoral or Postdoctoral Thesis North Atlantic North Atlantic oscillation Edinburgh Research Archive (ERA - University of Edinburgh) Scottish Geographical Journal 130 4 252 265
institution Open Polar
collection Edinburgh Research Archive (ERA - University of Edinburgh)
op_collection_id ftunivedinburgh
language English
topic snow
flooding
hydrology
climate
spellingShingle snow
flooding
hydrology
climate
Spencer, Michael Robert
Reanalysis of Scottish mountain snow conditions
topic_facet snow
flooding
hydrology
climate
description Mountain snowline is important as it is an easily identifiable measure of the phase state of water in the landscape. However, frequent observation of the snowline in Scotland is difficult as reduced visibility is common, obscuring ground based and remotely sensed methods. Changes in seasonal snowline elevation can indicate long-term climate trends. Snow cover influences local flora and fauna, and knowledge of snowline can inform management of water and associated risks. Complete Scottish Snow Survey of Great Britain (SSGB) records were transcribed and form the primary snow cover dataset used for this work. Voluntary observers collected the SSGB between 1945 and 2007. Other snow cover data used includes remotely sensed (Moderate-resolution Imaging Spectroradiometer: MODIS) and Met Office station observations (as point observations and interpolated to form UK Climate Projections 2009, UKCP09). I present a link between the North Atlantic Oscillation (NAO) index and days of snow cover in Scotland between winters from 1875 to 2013. Broad (5 km resolution) scale datasets (e.g. UKCP09) are used to extract nationwide patterns, supporting these findings using SSGB hillslope scale data. The strongest correlations between the NAO index and snow cover are found in eastern and southern Scotland; these results are supported by both SSGB and UKCP09 data. Correlations between NAO index and snow cover are negative with the strongest relationships found for elevations below 750 m. A degree-day snow model was developed using daily precipitation and temperature data to derive snow cover and melt. This model was run between 1960 and 2011 using point data from five Met Office stations and data on a 5 km grid (UKCP09 temperature and CEH GEAR precipitation) across Scotland. Due to CEH GEAR data underestimating precipitation at higher elevations, absolute values of melt are uncertain. However, relative correlations are apparent, e.g. the proportion of precipitation as melt and number of days with snow cover each year are generally ...
author2 Essery, Richard
Hulton, Nick
Natural Environment Research Council (NERC)
format Doctoral or Postdoctoral Thesis
author Spencer, Michael Robert
author_facet Spencer, Michael Robert
author_sort Spencer, Michael Robert
title Reanalysis of Scottish mountain snow conditions
title_short Reanalysis of Scottish mountain snow conditions
title_full Reanalysis of Scottish mountain snow conditions
title_fullStr Reanalysis of Scottish mountain snow conditions
title_full_unstemmed Reanalysis of Scottish mountain snow conditions
title_sort reanalysis of scottish mountain snow conditions
publisher The University of Edinburgh
publishDate 2016
url http://hdl.handle.net/1842/25527
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation Spencer, M., Essery, R., Chambers, L., and Hogg, S. The historical snow survey of Great Britain: Digitised data for Scotland. Scottish Geographical Journal, 130(4): 252–265, 2014, DOI:10.1080/14702541.2014.900184.
Spencer, M. and Essery, R. Scottish snow cover dependence on the North Atlantic Oscillation index. Hydrology Research, 47(3): 619–629, 2016, DOI:10.2166/nh.2016.085.
http://hdl.handle.net/1842/25527
op_rights Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
op_doi https://doi.org/10.1080/14702541.2014.90018410.2166/nh.2016.085
container_title Scottish Geographical Journal
container_volume 130
container_issue 4
container_start_page 252
op_container_end_page 265
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