Spatial variability in the chemical composition of snowcover in a small,remote, scottish catchment |
| |
| Institution: | 1. California National Primate Research Center, UC-Davis, Davis, CA 95616, United States;2. School of Human Evolution and Social Change, Center for Evolution and Medicine, Arizona State University, Tempe, AZ 85287, United States;3. Department of Psychology, UC-Davis, Davis, CA 95616, United States;4. Department of Psychology, Siena College, Loudonville, NY 12211, United States;5. Department of Biomedical Engineering, UC-Davis, Davis, CA 95616, United States;6. Center for Molecular and Genomic Imaging, UC-Davis, Davis, CA 95616, United States;1. Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York YO10 5DD, UK;2. Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China;3. National Centre for Atmospheric Science, University of York, York YO10 5DD, UK;1. British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK;2. University of East Anglia, Norwich NR4 7TJ, UK;3. University of York, Heslington, York YO10 5DD, UK |
| |
| Abstract: | Fresh snowcover in a remote upland catchment is chemically heterogeneous. Coefficients of variation (Cof) for individual major ions range from 5 to 113%, assuming a normal distribution, or 1 to 144 % assuming a lognormal distribution. Aged snowcover is slightly more chemically variable, giving rise to Cof of 19–140 %, assuming a normal distribution, or 2–200 %, assuming a lognormal distribution. In general, the distribution of the concentration of major ions in snowcover is better described by the lognormal distribution. Both vertical and horizontal variability is observed in the chemical content of within-pack snows. Such heterogeneity has important implications for snowpack sampling. We suggest that rigorous methodologies should be devised for the sampling of fresh snowcover. The sampling of within-pack snows should also be performed under tight statistical constraints if representative estimates of the solute content of snowcover are to be obtained. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
