Bias in the variance of gridded data sets leads to misleading conclusions about changes in climate variability-Reference-Cited by-同舟云学术

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Bias in the variance of gridded data sets leads to misleading conclusions about changes in climate variability

Published:2015-12-15 Issue:9 Volume:36 Page:3413-3422
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int. J. Climatol.

Author:

Beguería Santiago¹,Vicente-Serrano Sergio M.²,Tomás-Burguera Miquel¹,Maneta Marco³

Affiliation:

1. Estación Experimental de Aula Dei (EEAD-CSIC); Consejo Superior de Investigaciones Científicas (CSIC); Zaragoza Spain

2. Instituto Pirenaico de Ecología (IPE-CSIC); Consejo Superior de Investigaciones Científicas (CSIC); Zaragoza Spain

3. Geosciences Department; University of Montana; Missoula MT USA

Funder

Spanish Ministerio de Economía y Competitividad

EU-FEDER

Montana Institute on Ecosystems

Publisher

Wiley

Subject

Atmospheric Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/joc.4561/fullpdf

Reference46 articles.

1. Global observed changes in daily climate extremes of temperature and precipitation;Alexander;J. Geophys. Res. Atmos.,2006

2. Gaussian predictive process models for large spatial data sets;Banerjee;J. R. Stat. Soc. Ser. B Stat. Methodol.,2008

3. Uncertainty estimates in regional and global observed temperature changes: a new data set from 1850;Brohan;J. Geophys. Res. Atmos.,2006

4. The objective analysis of daily rainfall by distance weighting schemes on a mesoscale grid;Bussieres;Atmosphere-Ocean,1989

5. Large-scale changes in observed daily maximum and minimum temperatures: creation and analysis of a new gridded data set;Caesar;J. Geophys. Res. Atmos.,2006

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