[Parameters: Topic='LAND SURFACE', Term='LAND TEMPERATURE', Variable_Level_1='LAND SURFACE TEMPERATURE']
|
CLIMAS: Models of meteorologically adjusted long-term ozone trends at ten stations
Entry ID:
CLIMAS_AirQuality_OzoneTrends_10stations
Summary
Abstract:
Models of meteorologically adjusted long-term ozone trends at ten stations. Thin blue lines represent the unadjusted data that have been smoothed to show the long-term trend through the study period. Thick green lines show estimated ozone values with the influence of meteorology removed. Ozone is strongly influenced by both meteorological conditions and local emissions sources. As a result, long-term ozone trends are highly variable and not particularly well-correlated across the region, although in general there are indications that concentrations may have decreased in recent years after several years of increases in the 1990s.
Data Set Citation
Dataset Originator/Creator:
Wise, E. K. and A. C. Comrie
Dataset Title:
The KZ filter
Dataset Series Name:
Models of meteorologically adjusted long-term ozone trends at ten stations
Dataset Release Date:
2005
Dataset Publisher:
Atmospheric Environment
Issue Identification:
39
Online Resource:
http://www.climas.arizona.edu/projects/air-quality-climate-variabil...
Temporal Coverage
Start Date:
1990-01-01
Stop Date:
2002-12-31
Location Keywords
Science Keywords
ISO Topic Category
Ancillary Keywords
Data Center
Publications/References
Wise, E.K. and A.C. Comrie. 2005. Meteorologically-adjusted urban air quality trends in the southwestern United States. Atmospheric Environment 39, 2969-2980.
Creation and Review Dates
DIF Creation Date:
2009-08-14
Last DIF Revision Date:
2012-02-01
|
|||||||||||||||||||
