Description

Recently developed knowledge-based climatological interpolation and ensemble climatologically aided interpolation systems (Newman et al. 2019, 2020a) are used to develop gridded daily, 2 km grid spacing ensemble historical observations across Alaska and the Yukon territory. The ensemble files include daily unadjusted and adjusted precipitation (mm day -1 ), daily mean temperature (°C), diurnal temperature range (°C), fraction of precipitation falling as snow, and the wetting loss and wind undercatch correction factors (Newman et al. 2020b). Currently there are only two deterministic daily gridded primarily in situ based observational datasets for this region. This dataset is the novel for the region because it is an ensemble and it contains ensemble estimates of gauge loss corrected precipitation. Additionally, there are limitations with any of the available observation based products, and having another comparison point is useful to the community.

References:

Newman, A. J., M. P. Clark, R. J. Longman, E. Gilleland, T. W. Giambelluca, and J. R. Arnold, 2019: Use of daily station observations to produce high-resolution gridded probabilistic precipitation and temperature time series for the Hawaiian Islands. J. Hydrometeorology, 20, 509-529.

Newman, A. J. and M. P. Clark, 2020: TIER version 1.0: an open-source Topographically InformEd Regression (TIER) model to estimate spatial meteorological fields, Geosci. Model Dev., 13, 1827–1843, https://doi.org/10.5194/gmd-13-1827-2020

Newman, A. J., M. P. Clark, A. W. Wood, and J. R. Arnold, 2020: Probabilistic spatial meteorological estimates for Alaska and the Yukon. J. Geophys. Research – Atmospheres. In review.

DOI

https://doi.org/10.5065/hsbv-b152

Authors

Andrew J. Newman
Martyn P. Clark
Andrew W. Wood

Resource Support Contacts

Andrew J. Newman
UCAR/NCAR - Research Applications Laboratory
anewman@ucar.edu

Media Types

application/x-hdf (Hierarchical Data Format File)

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