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ORCID: https://orcid.org/0000-0002-5147-0067, Bañón, Manolo, Lapazaran Izargain, Javier Jesús
ORCID: https://orcid.org/0000-0003-1820-4960 and Otero García, Jaime
ORCID: https://orcid.org/0000-0002-3518-7763
(2012).
Sensitivity of a distributed temperature-radiation index melt model based on AWS observations and surface energy balance fluxes, Hurd Peninsula glaciers, Livingston Island, Antarctica.
"The Cryosphere", v. 6
(n. 3);
pp. 539-552.
ISSN 1994-0416.
https://doi.org/10.5194/tc-6-539-2012.
| Título: | Sensitivity of a distributed temperature-radiation index melt model based on AWS observations and surface energy balance fluxes, Hurd Peninsula glaciers, Livingston Island, Antarctica |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | The Cryosphere |
| Fecha: | 2012 |
| ISSN: | 1994-0416 |
| Volumen: | 6 |
| Número: | 3 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Matemática Aplicada a las Tecnologías de la Información [hasta 2014] |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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We use an automatic weather station and surface mass balance dataset spanning four melt seasons collected on Hurd Peninsula Glaciers, South Shetland Islands, to investigate the point surface energy balance, to determine the absolute and relative contribution of the various energy fluxes acting on the glacier surface and to estimate the sensitivity of melt to ambient temperature changes. Long-wave incoming radiation is the main energy source for melt, while short-wave radiation is the most important flux controlling the variation of both seasonal and daily mean surface energy balance. Short-wave and long-wave radiation fluxes do, in general, balance each other, resulting in a high correspondence between daily mean net radiation flux and available melt energy flux. We calibrate a distributed melt model driven by air temperature and an expression for the incoming short-wave radiation. The model is calibrated with the data from one of the melt seasons and validated with the data of the three remaining seasons. The model results deviate at most 140 mm w.e. from the corresponding observations using the glaciological method. The model is very sensitive to changes in ambient temperature: a 0.5 ◦ C increase results in 56 % higher melt rates.
| ID de Registro: | 14171 |
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| Identificador DC: | https://oa.upm.es/14171/ |
| Identificador OAI: | oai:oa.upm.es:14171 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5486774 |
| Identificador DOI: | 10.5194/tc-6-539-2012 |
| URL Oficial: | http://www.the-cryosphere.net/6/issue3.html |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 19 Dic 2012 08:40 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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