A southeastern south american daily gridded dataset of observed surface minimum and maximum temperature for 1961-2000

A southeastern South American daily high-resolution gridded dataset of observed surface minimum and maximum temperature for 1961-2000 is presented. The interpolation methodology was adapted from the one developed for Europe as part of the EU FP6 ENSEMBLE-based predictions of climate changes and thei...

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Autores principales: Tencer, B., Rusticucci, M., Jones, P., Lister, D.
Formato: JOUR
Materias:
Argentina
Data sets
High resolution
Kriging methods
Maximum temperature
Meteorological station
Paraguay
Regular grids
Uruguay
Climate change
Interpolation
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00030007_v92_n10_p1339_Tencer
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_00030007_v92_n10_p1339_Tencer
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spelling todo:paper_00030007_v92_n10_p1339_Tencer2023-10-03T13:55:26Z A southeastern south american daily gridded dataset of observed surface minimum and maximum temperature for 1961-2000 Tencer, B. Rusticucci, M. Jones, P. Lister, D. Argentina Data sets High resolution Kriging methods Maximum temperature Meteorological station Paraguay Regular grids Uruguay Climate change Interpolation A southeastern South American daily high-resolution gridded dataset of observed surface minimum and maximum temperature for 1961-2000 is presented. The interpolation methodology was adapted from the one developed for Europe as part of the EU FP6 ENSEMBLE-based predictions of climate changes and their impacts (ENSEMBLES) project. The gridded dataset presented in this study was developed from daily surface minimum and maximum temperature data observed at meteorological stations from Argentina, Brazil, Paraguay, and Uruguay, compiled during the EU FP6 CLARIS project, with additional Brazilian data gathered after the end of that project. Before data were entered into the CLARIS database, they were quality controlled following a common set of tests. The interpolation methodology used to convert irregularly spaced observations at station points to regular grid boxes was developed during the EU FP6 ENSEMBLES project and consists of a three-step procedure involving the use of the kriging method. Fil:Tencer, B. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Rusticucci, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00030007_v92_n10_p1339_Tencer
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Argentina
Data sets
High resolution
Kriging methods
Maximum temperature
Meteorological station
Paraguay
Regular grids
Uruguay
Climate change
Interpolation
spellingShingle Argentina
Data sets
High resolution
Kriging methods
Maximum temperature
Meteorological station
Paraguay
Regular grids
Uruguay
Climate change
Interpolation
Tencer, B.
Rusticucci, M.
Jones, P.
Lister, D.
A southeastern south american daily gridded dataset of observed surface minimum and maximum temperature for 1961-2000
topic_facet Argentina
Data sets
High resolution
Kriging methods
Maximum temperature
Meteorological station
Paraguay
Regular grids
Uruguay
Climate change
Interpolation
description A southeastern South American daily high-resolution gridded dataset of observed surface minimum and maximum temperature for 1961-2000 is presented. The interpolation methodology was adapted from the one developed for Europe as part of the EU FP6 ENSEMBLE-based predictions of climate changes and their impacts (ENSEMBLES) project. The gridded dataset presented in this study was developed from daily surface minimum and maximum temperature data observed at meteorological stations from Argentina, Brazil, Paraguay, and Uruguay, compiled during the EU FP6 CLARIS project, with additional Brazilian data gathered after the end of that project. Before data were entered into the CLARIS database, they were quality controlled following a common set of tests. The interpolation methodology used to convert irregularly spaced observations at station points to regular grid boxes was developed during the EU FP6 ENSEMBLES project and consists of a three-step procedure involving the use of the kriging method.
format JOUR
author Tencer, B.
Rusticucci, M.
Jones, P.
Lister, D.
author_facet Tencer, B.
Rusticucci, M.
Jones, P.
Lister, D.
author_sort Tencer, B.
title A southeastern south american daily gridded dataset of observed surface minimum and maximum temperature for 1961-2000
title_short A southeastern south american daily gridded dataset of observed surface minimum and maximum temperature for 1961-2000
title_full A southeastern south american daily gridded dataset of observed surface minimum and maximum temperature for 1961-2000
title_fullStr A southeastern south american daily gridded dataset of observed surface minimum and maximum temperature for 1961-2000
title_full_unstemmed A southeastern south american daily gridded dataset of observed surface minimum and maximum temperature for 1961-2000
title_sort southeastern south american daily gridded dataset of observed surface minimum and maximum temperature for 1961-2000
url http://hdl.handle.net/20.500.12110/paper_00030007_v92_n10_p1339_Tencer
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