## Abstract The integration of spatially and temporally varying observation data is an important step to formulate and generalize the large‐scale relationships and feedback between the atmosphere and hydrological processes. In this contribution, we present a moderate resolution surface hydrometeoro
Development of gridded surface meteorological data for ecological applications and modelling
✍ Scribed by John T. Abatzoglou
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 742 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0899-8418
- DOI
- 10.1002/joc.3413
No coin nor oath required. For personal study only.
✦ Synopsis
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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