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...
Main Author: | |
---|---|
Other Authors: | |
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 |
_version_ |
1766371116255805440 |