4.1 Article

The influence of below-cloud secondary effects on the stable isotope composition of hydrogen and oxygen in precipitation at Calgary, Alberta, Canada

Journal

TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY
Volume 59, Issue 4, Pages 698-704

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1111/j.1600-0889.2007.00291.x

Keywords

-

Ask authors/readers for more resources

Stable isotope compositions of hydrogen (delta H-2) and oxygen (delta O-18) for short-term precipitation samples (n = 436) collected at Calgary, Alberta, Canada, between January 1997 and December 2001 were determined. Linear regression between delta H-2 and delta O-18 values of snow and large amount rain samples (>= 4 mm) yielded correlation equations delta H-2 = 7.72 x delta O-18 + 5.02 and delta H-2 = 7.50 x delta O-18 + 0.27, respectively. In contrast, correlation equations between delta H-2 and delta O-18 values for small amount rain samples (< 4 mm) resulted in progressively lower slope and intercept values with decreasing precipitation. Correlations of isotope data with parameters such as local temperature, relative humidity, and precipitation amount provided evidence that small amount rain samples undergo secondary evaporation accompanied by mass dependent isotope fractionation during their descent from the cloud base to the ground. Hence, the isotope compositions of precipitation at Calgary, and likely also at other locations in the North American Great Plains region, are influenced by below-cloud secondary effects. Since about one-third of the precipitation events in the 5-yr observation period were rain samples accumulating less than 4 mm, below-cloud secondary effects resulted in a slight decrease of slope and intercept values of the local meteoric water line (delta H-2 = 7.43 x delta O-18 - 2.79) calculated using amount-weighted monthly average delta H-2 and delta O-18 values compared to equations based on isotope data for snow and large amount rain events only. The correlation equation (delta H-2 = 7.11 x delta O-18 - 11.60) calculated using delta H-2 and delta O-18 values of individual samples (non-amount weighted) yielded the lowest slope and intercept values caused by the significant influence of small amount rain samples.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.1
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available