Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack
The broadband albedo of surface snow is determined both by the near-surface profile of the physical and chemical properties of the snowpack and by the spectral and angular characteristics of the incident solar radiation. Simultaneous measurements of the physical and chemical properties of snow were...
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ftuninhampshire:oai:scholars.unh.edu:earthsci_facpub-1196 2023-05-15T16:28:57+02:00 Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack Carmagnola, Carlo Domine, Florent Dumont, Marie Wright, Patrick Strellis, B Bergin, M Dibb, Jack E. Picard, G Libois, Q Arnaud, L Morin, S 2013-07-01T07:00:00Z application/pdf https://scholars.unh.edu/earthsci_facpub/197 https://scholars.unh.edu/cgi/viewcontent.cgi?article=1196&context=earthsci_facpub unknown University of New Hampshire Scholars' Repository https://scholars.unh.edu/earthsci_facpub/197 https://scholars.unh.edu/cgi/viewcontent.cgi?article=1196&context=earthsci_facpub © Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 License. CC-BY Earth Sciences Scholarship Atmospheric Sciences text 2013 ftuninhampshire 2023-01-30T21:34:30Z The broadband albedo of surface snow is determined both by the near-surface profile of the physical and chemical properties of the snowpack and by the spectral and angular characteristics of the incident solar radiation. Simultaneous measurements of the physical and chemical properties of snow were carried out at Summit Camp, Greenland (72°36´ N, 38°25´ W, 3210 m a.s.l.) in May and June 2011, along with spectral albedo measurements. One of the main objectives of the field campaign was to test our ability to predict snow spectral albedo by comparing the measured albedo to the albedo calculated with a radiative transfer model, using measured snow physical and chemical properties. To achieve this goal, we made daily measurements of the snow spectral albedo in the range 350–2200 nm and recorded snow stratigraphic information down to roughly 80 cm. The snow specific surface area (SSA) was measured using the DUFISSS instrument (DUal Frequency Integrating Sphere for Snow SSA measurement, Gallet et al., 2009). Samples were also collected for chemical analyses including black carbon (BC) and dust, to evaluate the impact of light absorbing particulate matter in snow. This is one of the most comprehensive albedo-related data sets combining chemical analysis, snow physical properties and spectral albedo measurements obtained in a polar environment. The surface albedo was calculated from density, SSA, BC and dust profiles using the DISORT model (DIScrete Ordinate Radiative Transfer, Stamnes et al., 1988) and compared to the measured values. Results indicate that the energy absorbed by the snowpack through the whole spectrum considered can be inferred within 1.10%. This accuracy is only slightly better than that which can be obtained considering pure snow, meaning that the impact of impurities on the snow albedo is small at Summit. In the near infrared, minor deviations in albedo up to 0.014 can be due to the accuracy of radiation and SSA measurements and to the surface roughness, whereas deviations up to 0.05 can be ... Text Greenland University of New Hampshire: Scholars Repository Greenland Summit Camp ENVELOPE(-38.453,-38.453,72.579,72.579) Stamnes ENVELOPE(9.020,9.020,63.443,63.443) |
institution |
Open Polar |
collection |
University of New Hampshire: Scholars Repository |
op_collection_id |
ftuninhampshire |
language |
unknown |
topic |
Atmospheric Sciences |
spellingShingle |
Atmospheric Sciences Carmagnola, Carlo Domine, Florent Dumont, Marie Wright, Patrick Strellis, B Bergin, M Dibb, Jack E. Picard, G Libois, Q Arnaud, L Morin, S Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack |
topic_facet |
Atmospheric Sciences |
description |
The broadband albedo of surface snow is determined both by the near-surface profile of the physical and chemical properties of the snowpack and by the spectral and angular characteristics of the incident solar radiation. Simultaneous measurements of the physical and chemical properties of snow were carried out at Summit Camp, Greenland (72°36´ N, 38°25´ W, 3210 m a.s.l.) in May and June 2011, along with spectral albedo measurements. One of the main objectives of the field campaign was to test our ability to predict snow spectral albedo by comparing the measured albedo to the albedo calculated with a radiative transfer model, using measured snow physical and chemical properties. To achieve this goal, we made daily measurements of the snow spectral albedo in the range 350–2200 nm and recorded snow stratigraphic information down to roughly 80 cm. The snow specific surface area (SSA) was measured using the DUFISSS instrument (DUal Frequency Integrating Sphere for Snow SSA measurement, Gallet et al., 2009). Samples were also collected for chemical analyses including black carbon (BC) and dust, to evaluate the impact of light absorbing particulate matter in snow. This is one of the most comprehensive albedo-related data sets combining chemical analysis, snow physical properties and spectral albedo measurements obtained in a polar environment. The surface albedo was calculated from density, SSA, BC and dust profiles using the DISORT model (DIScrete Ordinate Radiative Transfer, Stamnes et al., 1988) and compared to the measured values. Results indicate that the energy absorbed by the snowpack through the whole spectrum considered can be inferred within 1.10%. This accuracy is only slightly better than that which can be obtained considering pure snow, meaning that the impact of impurities on the snow albedo is small at Summit. In the near infrared, minor deviations in albedo up to 0.014 can be due to the accuracy of radiation and SSA measurements and to the surface roughness, whereas deviations up to 0.05 can be ... |
format |
Text |
author |
Carmagnola, Carlo Domine, Florent Dumont, Marie Wright, Patrick Strellis, B Bergin, M Dibb, Jack E. Picard, G Libois, Q Arnaud, L Morin, S |
author_facet |
Carmagnola, Carlo Domine, Florent Dumont, Marie Wright, Patrick Strellis, B Bergin, M Dibb, Jack E. Picard, G Libois, Q Arnaud, L Morin, S |
author_sort |
Carmagnola, Carlo |
title |
Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack |
title_short |
Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack |
title_full |
Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack |
title_fullStr |
Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack |
title_full_unstemmed |
Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack |
title_sort |
snow spectral albedo at summit, greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack |
publisher |
University of New Hampshire Scholars' Repository |
publishDate |
2013 |
url |
https://scholars.unh.edu/earthsci_facpub/197 https://scholars.unh.edu/cgi/viewcontent.cgi?article=1196&context=earthsci_facpub |
long_lat |
ENVELOPE(-38.453,-38.453,72.579,72.579) ENVELOPE(9.020,9.020,63.443,63.443) |
geographic |
Greenland Summit Camp Stamnes |
geographic_facet |
Greenland Summit Camp Stamnes |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Earth Sciences Scholarship |
op_relation |
https://scholars.unh.edu/earthsci_facpub/197 https://scholars.unh.edu/cgi/viewcontent.cgi?article=1196&context=earthsci_facpub |
op_rights |
© Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 License. |
op_rightsnorm |
CC-BY |
_version_ |
1766018633800089600 |