Mathematics – Logic
Scientific paper
Nov 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004georl..3121502b&link_type=abstract
Geophysical Research Letters, Volume 31, Issue 21, CiteID L21502
Mathematics
Logic
29
Information Related To Geographic Region: Arctic Region, Hydrology: Runoff And Streamflow, Hydrology: Precipitation (3354), Hydrology: Hydroclimatology, Global Change: Climate Dynamics (3309)
Scientific paper
The consistency of long-term yearly precipitation and runoff trends over the largest Arctic watersheds (Ob, Yenisei and Lena Rivers) is examined. Three gridded precipitation datasets (Climatic Research Unit, University of Delaware, NCEP) are used for comparative analyses with runoff data collected at basin outlets. The results generally demonstrate inconsistency in long-term changes of basin precipitation and runoff. The Yenisei River runoff increases significantly, while precipitation data show mostly negative trends. The Ob River does not show any significant trend either in precipitation or runoff. Positive trend in the Lena River runoff is accompanied by a weak precipitation increase; however, the precipitation increase is not strong enough to support the observed runoff change. The inconsistency identified in basin precipitation and runoff trends suggests uncertainty in both the quality of basin precipitation and runoff datasets, as well as the perceived hydrologic factors impacting runoff change.
Berezovskaya Svetlana
Kane Douglas L.
Yang Daqing
No associations
LandOfFree
Compatibility analysis of precipitation and runoff trends over the large Siberian watersheds does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Compatibility analysis of precipitation and runoff trends over the large Siberian watersheds, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Compatibility analysis of precipitation and runoff trends over the large Siberian watersheds will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1762245