Statistics – Methodology
Scientific paper
Oct 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3520403m&link_type=abstract
Geophysical Research Letters, Volume 35, Issue 20, CiteID L20403
Statistics
Methodology
32
Global Change: Climate Variability (1635, 3305, 3309, 4215, 4513), Global Change: Climate Dynamics (0429, 3309), Hydrology: Hydroclimatology, Biogeosciences: Climate Dynamics (1620), Global Change: Global Climate Models (3337, 4928)
Scientific paper
Near-surface wind speeds (u) measured by terrestrial anemometers show declines (a `stilling') at a range of mid-latitude sites, but two gridded u datasets (a NCEP/NCAR reanalysis output and a surface-pressure-based u model) have not reproduced the stilling observed at Australian stations. We developed Australia-wide 0.01° resolution daily u grids by interpolating measurements from an expanded anemometer network for 1975-2006. These new grids represented the magnitude and spatial-variability of observed u trends, whereas grids from reanalysis systems (NCEP/NCAR, NCEP/DOE and ERA40) essentially did not, even when minimising the sea-breeze impact. For these new grids, the Australian-averaged u trend for 1975-2006 was -0.009 m s-1 a-1 (agreeing with earlier site-based studies) with stilling over 88% of the land-surface. This new dataset can be used in numerous environmental applications, including benchmarking general circulation models to improve the representation of key parameters that govern u estimation. The methodology implemented here can be applied globally.
Donohue Randall J.
Li Ling Tao
McVicar Tim R.
Rayner David P.
Ricciardulli Lucrezia
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