Identifying Individual Rain Events with a Dense Disdrometer Network
The use of point detectors to measure properties of rainfall is ubiquitous in the hydrological sciences. An early step in most rainfall analysis includes the partitioning of the data record into “rain events.” This work utilizes data from a dense network of optical disdrometers to explore the effect...
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| Main Authors: | Michael L. Larsen, Joshua B. Teves |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2015/582782 |
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