Time-to-detect trends in precipitable water vapor with varying measurement error

Jacola Ann Roman, Robert Knuteson, Steve Ackerman

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This study determined the theoretical time-to-detect (TTD) global climate model (GCM) precipitable water vapor (PWV) 100-yr trends when realisticmeasurement errors are considered.Global trends ranged from 0.055 to 0.072mmyr-1 and varied minimally from season to season. Global TTDs with a 0% measurement error ranged from3.0 to 4.8 yr,while a 5%measurement error increased the TTDby almost 6 times, ranging from17.6 to 22.0 yr. Zonal trends were highest near the equator however, zonal TTDs were nearly independent of latitude when 5% measurement error was included. Zonal TTDs are significantly reduced when the trends are analyzed by season.Regional trends (15° × 30°) show TTDs close to those in the 158 latitude zones (15° × 360°). Detailed case study analysis of four selected regions with high population density-eastern United States, Europe, China, and India-indicated that trend analysis on regional spatial scales may provide the most timely information regarding highly populated regions when comparing detection time scales to global and zonal analyses.

Original languageEnglish (US)
Pages (from-to)8259-8275
Number of pages17
JournalJournal of Climate
Volume27
Issue number21
DOIs
StatePublished - Jan 1 2014

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precipitable water
water vapor
trend analysis
global climate
climate modeling
population density
trend
timescale

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

Roman, Jacola Ann ; Knuteson, Robert ; Ackerman, Steve. / Time-to-detect trends in precipitable water vapor with varying measurement error. In: Journal of Climate. 2014 ; Vol. 27, No. 21. pp. 8259-8275.
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Time-to-detect trends in precipitable water vapor with varying measurement error. / Roman, Jacola Ann; Knuteson, Robert; Ackerman, Steve.

In: Journal of Climate, Vol. 27, No. 21, 01.01.2014, p. 8259-8275.

Research output: Contribution to journalArticle

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