Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Anna Maria Jönsson

Professor

Default user image.

Budburst model performance: The effect of the spatial resolution of temperature data sets

Author

  • Cecilia Olsson
  • Anna Maria Jönsson

Summary, in English

Phenological models have mainly been developed to capture the seasonal development of individual trees and local populations, using data from meteorological stations. Ecosystem models that incorporate phenology are however commonly driven by gridded climate data. Using two phenological models to simulate budburst of birch in Germany, we assessed how combining phenological point observations with gridded climate data in model calibration and evaluation influence model accuracy. The models were driven by observed temperature from a nearby meteorological station, gridded temperature, and observed and gridded temperature adjusted to the location of the tree. Our results indicate that the spatial resolution of temperature can influence the models performance at individual sites, but with no temperature data set generating significantly more accurate simulations than the other temperatures. Irrespective of temperature data, the model simulations represented the average of several trees better than any individual tree. When evaluating the models performance using point observations, the error became smaller when driving the model with adjusted temperature data, and then calculating grid-cell averages based on several observations. (C) 2014 Elsevier B.V. All rights reserved.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • BECC - Biodiversity and Ecosystem services in a Changing Climate

Publishing year

2015

Language

English

Pages

302-312

Publication/Series

Agricultural and Forest Meteorology

Volume

200

Document type

Journal article

Publisher

Elsevier

Topic

  • Physical Geography

Keywords

  • Temperature
  • Spatial resolution
  • Budburst
  • Growing degree-days
  • Betula
  • pendula

Status

Published

ISBN/ISSN/Other

  • ISSN: 1873-2240