Temporal and spatial variability of snow accumulation in central Greenland

被引:15
作者
Kuhns, H [1 ]
Davidson, C
Dibb, J
Stearns, C
Bergin, M
Jaffrezo, JL
机构
[1] Desert Res Inst, Energy & Environm Engn Ctr, Las Vegas, NV 89119 USA
[2] NOAA, Climate Modeling & Diagnost Lab, CGI, E,R, Boulder, CO 80303 USA
[3] Carnegie Mellon Univ, Dept Civil & Environm Engn, Pittsburgh, PA 15213 USA
[4] Univ New Hampshire, Inst Study Earth Oceans & Space, Glacier Res Grp, Durham, NH 03824 USA
[5] Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI 53706 USA
[6] Brookhaven Natl Lab, Environm Chem Div, Upton, NY 11973 USA
[7] Lab Glaciol & Geophys Environm, Grenoble, France
关键词
D O I
10.1029/97JD02760
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Snow accumulation records from central Greenland are explored to improve the understanding of the accumulation signal in Greenland ice core records. Results from a "forest" of 100 bamboo poles and automated accumulation monitors in the vicinity df Summit as well as shallow cores collected in the Summit and Crete areas are presented. Based on these accumulation data, a regression has been calculated to quantify the signal-to-noise variance ratio of ice core accumulation signals on a variety of temporal (1 week to 2 years) and spatial (20 m to 200 km) scales. Results are consistent with data obtained from year-round automated accumulation measurements deployed at Summit which suggest that it is impossible to obtain regional snow accumulation data with seasonal resolution using four accumulation monitors positioned over a length scale of similar to 30 km. Given this understanding of the temporal and spatial dependence of noise in the ice core accumulation signal, the accumulation records from 17 shallow cores are revisited. Each core spans the time period from 1964 to 1983. By combining the accumulation records, the regional snow accumulation record has been obtained for this period. The results show that 9 of the 20 years can be identified as having an accumulation different from the 20 year mean with 99% confidence. The signal-to-noise variance ratio for the average accumulation signal sampled at annual intervals is 5.8 +/- 0.5. The averaged accumulation time series may be useful to climate modelers attempting to validate their models with accurate regional hydrologic data sets.
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页码:30059 / 30068
页数:10
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