The ‘dirty dozen’ of freshwater science: detecting then reconciling hydrological data biases and errors
Sound water policy and management rests on sound hydrometeorological and ecological data. Conversely, unrepresentative, poorly collected, or erroneously archived data introduce uncertainty regarding the magnitude, rate, and direction of environmental change, in addition to undermining confidence in...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Journal article |
| Published: |
John Wiley & Sons, Ltd.
2017
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