Articles | Volume 16, issue 3
https://doi.org/10.5194/cp-16-1061-2020
https://doi.org/10.5194/cp-16-1061-2020
Research article
 | 
18 Jun 2020
Research article |  | 18 Jun 2020

The importance of input data quality and quantity in climate field reconstructions – results from the assimilation of various tree-ring collections

Jörg Franke, Veronika Valler, Stefan Brönnimann, Raphael Neukom, and Fernando Jaume-Santero

Viewed

Total article views: 3,204 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,344 799 61 3,204 60 58
  • HTML: 2,344
  • PDF: 799
  • XML: 61
  • Total: 3,204
  • BibTeX: 60
  • EndNote: 58
Views and downloads (calculated since 06 Aug 2019)
Cumulative views and downloads (calculated since 06 Aug 2019)

Viewed (geographical distribution)

Total article views: 3,204 (including HTML, PDF, and XML) Thereof 2,725 with geography defined and 479 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
This study explores the influence of the input data choice on spatial climate reconstructions. We compare three tree-ring-based data sets which range from small sample size, small spatial coverage and strict screening for temperature sensitivity to the opposite. We achieve the best spatial reconstruction quality by combining all available input data but rejecting records with little and uncertain climatic information and considering moisture availability as an additional growth limitation.