期刊
GEOSCIENCES
卷 11, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/geosciences11110435
关键词
scaling; snow hydrology; sampling strategies
资金
- NSF Division of Mathematical Sciences [DMS-1615909]
- NOAA Office of Hydrologic Development grant [NA07NWS4620016]
- NASA Terrestrial Hydrology Program award [NNX11AQ66G]
This paper emphasizes the importance of collecting more data for snow hydrologists and other earth scientists, and provides recommendations for sampling strategies.
The snowpack is important for water resources, tourism, ecology, and the global energy budget. Over the past century, we have gone from point measurements of snow water equivalent (SWE) to estimate spring and summer runoff volumes, to remote sensing of various snowpack properties at continuously finer spatial and temporal resolutions, to various complexities of snowpack and hydrological modeling, to the current fusion of field data with remote sensing and modeling, all to improve our estimates of the snowpack and the subsequent runoff. However, we are still limited by the uncertainty induced by scaling from point field measurements to the area represented by remote sensing and modeling. This paper uses several examples of fine-resolution sampling to issue a call to snow hydrologists and other earth scientists to collect more data, or at least to thoroughly evaluate their sampling strategy for collecting ground-truth measurements. Recommendations are provided for different approaches to have more representative sampling, when at all possible, to collect at least a few more samples or data points.
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