Meteorological instrumentation performance and data quality using temperature, relative humidity, and wind speed sensors in Barrow, Alaska .

Sorry, the full text of this article is not available in Huskie Commons. Please click on the alternative location to access it. 68 p. A recent instrument change at the Atmospheric Radiation Measurement (ARM) Climate Research Facility in Barrow, Alaska, has provided an effective backdrop for developi...

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Main Author: Prell, Jenni Ann.
Other Authors: David Changnon.
Language:unknown
Published: Northern Illinois University.Geography. 2009
Subjects:
Online Access:http://commons.lib.niu.edu/handle/10843/12290
http://hdl.handle.net/10843/12290
id ftnorthillinuni:oai:commons.lib.niu.edu:10843/12290
record_format openpolar
spelling ftnorthillinuni:oai:commons.lib.niu.edu:10843/12290 2023-05-15T15:39:26+02:00 Meteorological instrumentation performance and data quality using temperature, relative humidity, and wind speed sensors in Barrow, Alaska . Prell, Jenni Ann. David Changnon. 2009. http://commons.lib.niu.edu/handle/10843/12290 http://hdl.handle.net/10843/12290 unknown Northern Illinois University.Geography. Masters Abstracts International, Volume: 48-04, page: 2181. 9781109599428 http://commons.lib.niu.edu/handle/10843/12290 http://hdl.handle.net/10843/12290 Meteorology Thermometers Calibration Alaska Barrow Hygrometers Calibration Alaska Barrow Anemometer Calibration Alaska Barrow Meteorological instruments Calibration Alaska Barrow Meteorology Alaska Barrow Statistics 2009 ftnorthillinuni 2020-09-22T08:45:11Z Sorry, the full text of this article is not available in Huskie Commons. Please click on the alternative location to access it. 68 p. A recent instrument change at the Atmospheric Radiation Measurement (ARM) Climate Research Facility in Barrow, Alaska, has provided an effective backdrop for developing a new automated method to identify issues with data collection and quality. The parameters used for the comparison include minute averages of temperature, relative humidity, and wind speed, providing real-time error assessment. The variables were inter-compared between tower levels in an effort to isolate instrument failures to specific instruments. Not only were discrepancies identified, but this methodology proved useful in accurately identifying erroneous and biased data elements using statistical procedures. Other/Unknown Material Barrow Alaska Northern Illinois University (NIU): Huskie Commons Repository
institution Open Polar
collection Northern Illinois University (NIU): Huskie Commons Repository
op_collection_id ftnorthillinuni
language unknown
topic Meteorology
Thermometers Calibration Alaska Barrow
Hygrometers Calibration Alaska Barrow
Anemometer Calibration Alaska Barrow
Meteorological instruments Calibration Alaska Barrow
Meteorology Alaska Barrow Statistics
spellingShingle Meteorology
Thermometers Calibration Alaska Barrow
Hygrometers Calibration Alaska Barrow
Anemometer Calibration Alaska Barrow
Meteorological instruments Calibration Alaska Barrow
Meteorology Alaska Barrow Statistics
Prell, Jenni Ann.
Meteorological instrumentation performance and data quality using temperature, relative humidity, and wind speed sensors in Barrow, Alaska .
topic_facet Meteorology
Thermometers Calibration Alaska Barrow
Hygrometers Calibration Alaska Barrow
Anemometer Calibration Alaska Barrow
Meteorological instruments Calibration Alaska Barrow
Meteorology Alaska Barrow Statistics
description Sorry, the full text of this article is not available in Huskie Commons. Please click on the alternative location to access it. 68 p. A recent instrument change at the Atmospheric Radiation Measurement (ARM) Climate Research Facility in Barrow, Alaska, has provided an effective backdrop for developing a new automated method to identify issues with data collection and quality. The parameters used for the comparison include minute averages of temperature, relative humidity, and wind speed, providing real-time error assessment. The variables were inter-compared between tower levels in an effort to isolate instrument failures to specific instruments. Not only were discrepancies identified, but this methodology proved useful in accurately identifying erroneous and biased data elements using statistical procedures.
author2 David Changnon.
author Prell, Jenni Ann.
author_facet Prell, Jenni Ann.
author_sort Prell, Jenni Ann.
title Meteorological instrumentation performance and data quality using temperature, relative humidity, and wind speed sensors in Barrow, Alaska .
title_short Meteorological instrumentation performance and data quality using temperature, relative humidity, and wind speed sensors in Barrow, Alaska .
title_full Meteorological instrumentation performance and data quality using temperature, relative humidity, and wind speed sensors in Barrow, Alaska .
title_fullStr Meteorological instrumentation performance and data quality using temperature, relative humidity, and wind speed sensors in Barrow, Alaska .
title_full_unstemmed Meteorological instrumentation performance and data quality using temperature, relative humidity, and wind speed sensors in Barrow, Alaska .
title_sort meteorological instrumentation performance and data quality using temperature, relative humidity, and wind speed sensors in barrow, alaska .
publisher Northern Illinois University.Geography.
publishDate 2009
url http://commons.lib.niu.edu/handle/10843/12290
http://hdl.handle.net/10843/12290
genre Barrow
Alaska
genre_facet Barrow
Alaska
op_relation Masters Abstracts International, Volume: 48-04, page: 2181.
9781109599428
http://commons.lib.niu.edu/handle/10843/12290
http://hdl.handle.net/10843/12290
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