(Table 1) Correlation of precipitation and winter mass balance (bw) at Storbreen, Norway
Measurements of winter balance (bw) and summer balance (bs) have been carried out at Storbreen since 1949. Here we apply a simple mass balance model to study the climate sensitivity and to reconstruct the mass balance series prior to 1949. The model is calibrated and validated with data from an auto...
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.806821 2024-09-15T18:07:53+00:00 (Table 1) Correlation of precipitation and winter mass balance (bw) at Storbreen, Norway Andreassen, Liss M Oerlemans, Johannes MEDIAN LATITUDE: 61.324167 * MEDIAN LONGITUDE: 7.600000 * SOUTH-BOUND LATITUDE: 59.830000 * WEST-BOUND LONGITUDE: 6.220000 * NORTH-BOUND LATITUDE: 62.110000 * EAST-BOUND LONGITUDE: 9.770000 * MINIMUM ELEVATION: 40.0 m * MAXIMUM ELEVATION: 972.0 m 2009 text/tab-separated-values, 96 data points https://doi.pangaea.de/10.1594/PANGAEA.806821 https://doi.org/10.1594/PANGAEA.806821 en eng PANGAEA https://doi.pangaea.de/10.1594/PANGAEA.806821 https://doi.org/10.1594/PANGAEA.806821 CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess Supplement to: Andreassen, Liss M; Oerlemans, Johannes (2009): Modelling long-term summer and winter balances and the climate sensitivity of Storbreen, Norway. Geografiska Annaler Series A-Physical Geography, 91(4), 233-251, https://doi.org/10.1111/j.1468-0459.2009.00366.x Area/locality Beito Boverdalen Brata Briksdal Bulken Coefficient Coefficient of determination Date/time start Elevation of event Event label Fokstugu Haflso International Polar Year (2007-2008) IPY Latitude of event Longitude of event Myklebust Norway Precipitation annual mean sum Roldal Sogndal Station label Time coverage VGausdal VikSogn Weather station/meteorological observation WST dataset 2009 ftpangaea https://doi.org/10.1594/PANGAEA.80682110.1111/j.1468-0459.2009.00366.x 2024-07-24T02:31:32Z Measurements of winter balance (bw) and summer balance (bs) have been carried out at Storbreen since 1949. Here we apply a simple mass balance model to study the climate sensitivity and to reconstruct the mass balance series prior to 1949. The model is calibrated and validated with data from an automatic weather station (AWS) operating in the ablation zone of Storbreen since 2001. Regression analysis revealed that bw was best modelled using precipitation data southwest of the glacier. Results from the model compared well with reported mass balance values for the period 1949-2006, obtained correlations (r) for bw and bs varied between 0.83 and 0.87 depending on model set up. Reconstruction of the mass balance series for the period 1924/1925-1948/1949 suggested a cumulative mass deficit of c. 30 m w.e. mainly due to highly negative summer balances, but also lower bw than the average for 1949-2006. Calculated change in specific mass balance for a ±1°C change in air temperature was ±0.55 m w.e., whereas a ±10 % increase in precipitation represented a change of ± 0.20 m w.e. Model results further indicated that for a 2°C warming, the ablation season will be extended by c. 30 days and that the period of ice melt at the AWS location will increase from c. 40 to c. 80 days. Dataset glacier International Polar Year IPY PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(6.220000,9.770000,62.110000,59.830000) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Area/locality Beito Boverdalen Brata Briksdal Bulken Coefficient Coefficient of determination Date/time start Elevation of event Event label Fokstugu Haflso International Polar Year (2007-2008) IPY Latitude of event Longitude of event Myklebust Norway Precipitation annual mean sum Roldal Sogndal Station label Time coverage VGausdal VikSogn Weather station/meteorological observation WST |
spellingShingle |
Area/locality Beito Boverdalen Brata Briksdal Bulken Coefficient Coefficient of determination Date/time start Elevation of event Event label Fokstugu Haflso International Polar Year (2007-2008) IPY Latitude of event Longitude of event Myklebust Norway Precipitation annual mean sum Roldal Sogndal Station label Time coverage VGausdal VikSogn Weather station/meteorological observation WST Andreassen, Liss M Oerlemans, Johannes (Table 1) Correlation of precipitation and winter mass balance (bw) at Storbreen, Norway |
topic_facet |
Area/locality Beito Boverdalen Brata Briksdal Bulken Coefficient Coefficient of determination Date/time start Elevation of event Event label Fokstugu Haflso International Polar Year (2007-2008) IPY Latitude of event Longitude of event Myklebust Norway Precipitation annual mean sum Roldal Sogndal Station label Time coverage VGausdal VikSogn Weather station/meteorological observation WST |
description |
Measurements of winter balance (bw) and summer balance (bs) have been carried out at Storbreen since 1949. Here we apply a simple mass balance model to study the climate sensitivity and to reconstruct the mass balance series prior to 1949. The model is calibrated and validated with data from an automatic weather station (AWS) operating in the ablation zone of Storbreen since 2001. Regression analysis revealed that bw was best modelled using precipitation data southwest of the glacier. Results from the model compared well with reported mass balance values for the period 1949-2006, obtained correlations (r) for bw and bs varied between 0.83 and 0.87 depending on model set up. Reconstruction of the mass balance series for the period 1924/1925-1948/1949 suggested a cumulative mass deficit of c. 30 m w.e. mainly due to highly negative summer balances, but also lower bw than the average for 1949-2006. Calculated change in specific mass balance for a ±1°C change in air temperature was ±0.55 m w.e., whereas a ±10 % increase in precipitation represented a change of ± 0.20 m w.e. Model results further indicated that for a 2°C warming, the ablation season will be extended by c. 30 days and that the period of ice melt at the AWS location will increase from c. 40 to c. 80 days. |
format |
Dataset |
author |
Andreassen, Liss M Oerlemans, Johannes |
author_facet |
Andreassen, Liss M Oerlemans, Johannes |
author_sort |
Andreassen, Liss M |
title |
(Table 1) Correlation of precipitation and winter mass balance (bw) at Storbreen, Norway |
title_short |
(Table 1) Correlation of precipitation and winter mass balance (bw) at Storbreen, Norway |
title_full |
(Table 1) Correlation of precipitation and winter mass balance (bw) at Storbreen, Norway |
title_fullStr |
(Table 1) Correlation of precipitation and winter mass balance (bw) at Storbreen, Norway |
title_full_unstemmed |
(Table 1) Correlation of precipitation and winter mass balance (bw) at Storbreen, Norway |
title_sort |
(table 1) correlation of precipitation and winter mass balance (bw) at storbreen, norway |
publisher |
PANGAEA |
publishDate |
2009 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.806821 https://doi.org/10.1594/PANGAEA.806821 |
op_coverage |
MEDIAN LATITUDE: 61.324167 * MEDIAN LONGITUDE: 7.600000 * SOUTH-BOUND LATITUDE: 59.830000 * WEST-BOUND LONGITUDE: 6.220000 * NORTH-BOUND LATITUDE: 62.110000 * EAST-BOUND LONGITUDE: 9.770000 * MINIMUM ELEVATION: 40.0 m * MAXIMUM ELEVATION: 972.0 m |
long_lat |
ENVELOPE(6.220000,9.770000,62.110000,59.830000) |
genre |
glacier International Polar Year IPY |
genre_facet |
glacier International Polar Year IPY |
op_source |
Supplement to: Andreassen, Liss M; Oerlemans, Johannes (2009): Modelling long-term summer and winter balances and the climate sensitivity of Storbreen, Norway. Geografiska Annaler Series A-Physical Geography, 91(4), 233-251, https://doi.org/10.1111/j.1468-0459.2009.00366.x |
op_relation |
https://doi.pangaea.de/10.1594/PANGAEA.806821 https://doi.org/10.1594/PANGAEA.806821 |
op_rights |
CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.80682110.1111/j.1468-0459.2009.00366.x |
_version_ |
1810445246862983168 |