Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization

Primer Autor
Fernandez, Alfonso
Co-autores
Somos-Valenzuela, Marcelo
Título
Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization
Editorial
CAMBRIDGE UNIV PRESS
Revista
JOURNAL OF GLACIOLOGY
Lenguaje
en
Resumen
This study involves examination of glaciological mass-balance time series, glacier and climatic descriptors, the application of machine learning methods for glaciological clustering, and computation of mass-balance time series based upon the clustering and statistical analyses relative to gridded air temperature datasets. Our analysis revealed an increasingly coherent mass-balance trend but a latitudinal bias of monitoring programs. The glacier classification scheme delivered three clusters, suggesting these correspond to climate-based first-order regimes, as glacier morphometric characteristics weighed little in our multivariate analysis. We combined all available surface mass-balance data from in situ monitoring programs to study temperature sensitivity for each cluster. These aggregated mass-balance time series delivered spatially different statistical relationships to temperature. Results also showed that surface mass balance tends to have a temporal self-correlation of similar to 20 years. Using this temporal window to analyze sensitivity since similar to 1950, we found that in all cases temperature sensitivity, while generally negative, tended to fluctuate through time, with the largest absolute magnitudes occurring in the 1980s and becoming less negative in recent years, revealing that glacier sensitivity is non-stationary. These findings point to a scenario of a coherent signal of change no matter the glacier regime. This work provides new insights into glacier-climate relationships that can guide observational and analytical strategies.
Tipo de Recurso
artículo original
Description
We are funded by the Chilean Science Council (ANID): FONDECYT Regular grant No1201429 and Anillo ACT210080. We also acknowledge all the open databases developed by the WGMS. This work is also a tribute to the hundreds of groups gathering, curating and sharing mass-balance and inventory data for more than a century. We are grateful to Mario Pino for early discussions on this work, Bryan Mark for last-minute revisions of the language style, and to the editors and reviewers.
Contamos con financiamiento del Consejo Científico de Chile (ANID): FONDECYT Beca Regular No1201429 y Anillo ACT210080. También reconocemos todas las bases de datos abiertas desarrolladas por el WGMS. Este trabajo es también un tributo a los cientos de grupos que recopilan, curan y comparten datos de inventario y balance de masas durante más de un siglo. Agradecemos a Mario Pino por las primeras discusiones sobre este trabajo, a Bryan Mark por las revisiones de último momento del estilo del lenguaje, y a los editores y revisores.
doi
10.1017/jog.2022.16
Formato Recurso
PDF
Palabras Claves
Climate change
glacier mass balance
ice and climate
SEA-LEVEL RISE
PRINCIPAL COMPONENT ANALYSIS
ICE CAPS
CLIMATE
INVENTORY
ALPS
Ubicación del archivo
Categoría OCDE
Geografía Física
Geociencias
Multidisciplinario
Materias
Cambio climático
equilibrio de masa de los glaciares
hielo y clima
AUMENTO DEL NIVEL DEL MAR
ANÁLISIS DE COMPONENTES PRINCIPALES
CAPAS DE HIELO
CLIMA
INVENTARIO
ALPS
Título de la cita (Recomendado-único)
Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization
Página de inicio (Recomendado-único)
1041
Página final (Recomendado-único)
1060
Identificador del recurso (Mandatado-único)
artículo original
Versión del recurso (Recomendado-único)
version publicada
License
CC BY 4.0
Condición de la licencia (Recomendado-repetible)
CC BY 4.0
Derechos de acceso
acceso abierto
Access Rights
acceso abierto
Referencia del Financiador (Mandatado si es aplicable-repetible)
ANID-FONDECYT 1201429
ANID-ANILLO ACT210080
ANID FONDECYT 1201429
ANID ANILLO ACT210080
Id de Web of Science
WOS:000780914300001
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