Autor según el artículo: Willett K.; Williams C.; Jolliffe I.T.; Lund R.; Alexander L.V.; Brönnimann S.; Vincent L.A.; Easterbrook S.; Venema V.K.C.; Berry D.; Warren R.E.; Lopardo G.; Auchmann R.; Aguilar E.; Menne M.J.; Gallagher C.; Hausfather Z.; Thorarinsdottir T.; Thorne P.

Departamento: Geografia

Autor/es de la URV: Aguilar Anfrons, Enrique Modesto

Resumen: The International Surface Temperature Initiative (ISTI) is striving towards substantively improving our ability to robustly understand historical land surface air temperature change at all scales. A key recently completed first step has been collating all available records into a comprehensive open access, traceable and version-controlled databank. The crucial next step is to maximise the value of the collated data through a robust international framework of benchmarking and assessment for product intercomparison and uncertainty estimation. We focus on uncertainties arising from the presence of inhomogeneities in monthly mean land surface temperature data and the varied methodological choices made by various groups in building homogeneous temperature products. The central facet of the benchmarking process is the creation of global-scale synthetic analogues to the real-world database where both the 'true' series and inhomogeneities are known (a luxury the real-world data do not afford us). Hence, algorithmic strengths and weaknesses can be meaningfully quantified and conditional inferences made about the real-world climate system. Here we discuss the necessary framework for developing an international homogenisation benchmarking system on the global scale for monthly mean temperatures. The value of this framework is critically dependent upon the number of groups taking part and so we strongly advocate involvement in the benchmarking exercise from as many data analyst groups as possible to make the best use of this substantial effort.

Grupo de investigación: Centre en Canvi Climàtic (C3)

Áreas temáticas: Oceanography Meteorology & atmospheric sciences Geosciences, multidisciplinary Geology Atmospheric science

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

Direcció de correo del autor: enric.aguilar@urv.cat

Identificador del autor: 0000-0002-8384-377X

Fecha de alta del registro: 2023-02-22

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://gi.copernicus.org/articles/3/187/2014/

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Geoscientific Instrumentation Methods And Data Systems. 3 (3): 187-200

Referencia de l'ítem segons les normes APA: Willett K.; Williams C.; Jolliffe I.T.; Lund R.; Alexander L.V.; Brönnimann S.; Vincent L.A.; Easterbrook S.; Venema V.K.C.; Berry D.; Warren R.E.; Lo (2014). A framework for benchmarking of homogenisation algorithm performance on the global scale. Geoscientific Instrumentation, Methods and Data Systems. Geoscientific Instrumentation Methods And Data Systems, 3(3), 187-200. DOI: 10.5194/gi-3-187-2014

DOI del artículo: 10.5194/gi31872014

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2014

Tipo de publicación: Journal Publications