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Development of gridded surface meteorological data for ecological applications and modelling

Abatzoglou, John T.·2013·International Journal of Climatology

Abstract

Landscape‐scale ecological modelling has been hindered by suitable high‐resolution surface meteorological datasets. To overcome these limitations, desirable spatial attributes of gridded climate data are combined with desirable temporal attributes of regional‐scale reanalysis and daily gauge‐based precipitation to derive a spatially and temporally complete, high‐resolution (4‐km) gridded dataset of surface meteorological variables required in ecological modelling for the contiguous United States from 1979 to 2010. Validation of the resulting gridded surface meteorological data, using an extensive network of automated weather stations across the western United States, showed skill comparable to that derived from interpolation using station observations, suggesting it can serve as suitable surrogate for landscape‐scale ecological modelling across vast unmonitored areas of the United States. Copyright © 2011 Royal Meteorological Society

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Metadata

Authors
Abatzoglou, J. T.
Venue
International Journal of Climatology
Publisher
Wiley
Published
2011-12-21
Volume
33
Issue
1
Pages
121-131
ISSN
  • 0899-8418 (ISSN-L)
  • 1097-0088
OpenAlex
W1995047010
Cited by
1,916
References
1
FWCI
7.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development of gridded surface meteorological data for ecological applications and modelling. https://app.cochat.ai/papers/10.1002/joc.3413
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Abatzoglou, J. T. (2013). Development of gridded surface meteorological data for ecological applications and modelling. International Journal of Climatology. https://doi.org/10.1002/joc.3413

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.