A Serially Complete Simulated Observation Time Metadata File for U.S. Daily Historical Climatology Network Stations

A Serially Complete Simulated Observation Time Metadata File for U.S. Daily Historical... A procedure to infer time of observation based on day-to-day temperature variations is refined and applied to the 1060-station daily Historical Climatology Network (HCN), creating a set of ersatz observation time metadata. Testing of the observation time inference procedure on the HCN data, as well as a set of U.S. normals stations at which no reported observation time changes occur from 1951 to 1991, indicates that, on average, the correct observation time category is identified in nearly 90 of the station years. Classification success decreases, however, at stations at which average annual interdiurnal temperature range falls below 1.9C. At these stations, which represent only 4 of the HCN daily station years, the percentage of correctly classified years falls to 78.Application of the observation time inference procedure yields a set of annual observation times for stations in the HCN. Primarily, this surrogate dataset provides a means of identifying observation time during years when documented observation times are absent. Such metadata are currently unavailable for approximately one-quarter of the daily HCN station years, limiting their use for analyzing time-dependent climate variations. In addition, the inferred observation times can be used to assess the veracity of the reported observation time data. Although quantifying the accuracy of the HCN observation time metadata is difficult, on average 6 of the station years are misclassified at stations having the highest potential for correct classification. Therefore, overall, these metadata seem reasonably accurate. At individual stations, however, erroneous observation time metadata are identified by the procedure and confirmed using temperature data from adjacent stations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the American Meteorological Society American Meteorological Society

A Serially Complete Simulated Observation Time Metadata File for U.S. Daily Historical Climatology Network Stations

Loading next page...
 
/lp/ams/a-serially-complete-simulated-observation-time-metadata-file-for-u-s-AKHg8HjImv
Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0477
D.O.I.
10.1175/1520-0477(2000)081<0049:ASCSOT>2.3.CO;2
Publisher site
See Article on Publisher Site

Abstract

A procedure to infer time of observation based on day-to-day temperature variations is refined and applied to the 1060-station daily Historical Climatology Network (HCN), creating a set of ersatz observation time metadata. Testing of the observation time inference procedure on the HCN data, as well as a set of U.S. normals stations at which no reported observation time changes occur from 1951 to 1991, indicates that, on average, the correct observation time category is identified in nearly 90 of the station years. Classification success decreases, however, at stations at which average annual interdiurnal temperature range falls below 1.9C. At these stations, which represent only 4 of the HCN daily station years, the percentage of correctly classified years falls to 78.Application of the observation time inference procedure yields a set of annual observation times for stations in the HCN. Primarily, this surrogate dataset provides a means of identifying observation time during years when documented observation times are absent. Such metadata are currently unavailable for approximately one-quarter of the daily HCN station years, limiting their use for analyzing time-dependent climate variations. In addition, the inferred observation times can be used to assess the veracity of the reported observation time data. Although quantifying the accuracy of the HCN observation time metadata is difficult, on average 6 of the station years are misclassified at stations having the highest potential for correct classification. Therefore, overall, these metadata seem reasonably accurate. At individual stations, however, erroneous observation time metadata are identified by the procedure and confirmed using temperature data from adjacent stations.

Journal

Bulletin of the American Meteorological SocietyAmerican Meteorological Society

Published: Jan 28, 2000

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches

$49/month

Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.

$588

$360/year

billed annually
Start Free Trial

14-day Free Trial