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| Titel |
Surface Wind Observational Database in North Eastern North America: Quality Control Procedure and Climatological Variability |
| VerfasserIn |
Etor E. Lucio-Eceiza, J. Fidel González-Rouco, Jorge Navarro, Ángela Hidalgo, Jorge Conte, Hugo Beltrami |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250107050
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| Publikation (Nr.) |
 EGU/EGU2015-6738.pdf |
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| Zusammenfassung |
| This work summarizes the design and application of a Quality Control (QC) procedure for an
observational surface wind database located in North Eastern North America. It
also presents some insights of the long-term climatological variability over the
region.
The database consists of 527 sites (487 land stations and 40 buoys) with varying
resolutions of hourly, 3 hourly and 6 hourly data, compiled from three different source
institutions. The records span from 1940 to 2010 and cover an approximate spatial extension
of 2.2 x 106 km2. The QC process is composed of different phases focused either on
problems related with the providing source institutions or measurement errors. Due
to the size of the data set, a great effort has been made on the automation of the
procedures. A number of problems are associated with data management and data
conventions: unification of measurement units and recording times due to the variety of
institutional sources; detection of erroneous data sequence duplications within a station or
among different ones; and detection of errors related with physically unrealistic data
measurements. From the other hand there is a variety of treated instrumental errors:
problems related with low variability, placing particular emphasis on the detection of
unrealistic low wind speed records with the help of regional references; high variability
related erroneous records; wind speed biases on week to monthly timescales and
homogenization of wind direction records. As a result, around 1.7% of wind speed records
and 0.4% of wind direction records have been deleted, making a combined total
of 1.9% of removed records. Around 2.4% of wind direction data have been also
corrected.
The already quality controlled database allows for subsequent climatological analyses.
The intra and inter decadal variability of the monthly surface wind field in such a vast and
orographically complex region as the North Eastern North America is explored. Several
decades of quality observations allow for the calibration of a statistical downscaling method
based on Canonical Correlation Analysis. The method relates the main large-scale
atmospheric circulation modes over the North Atlantic with the regional wind field.
The relations are centered over the extended seasons of summer and winter. These
seasons present interesting distinct dynamical features such as the frequent passage
of tropical storms and hurricanes during summer and strong mid-latitude winter
storms. |
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