Filling Gaps in Hourly Air Temperature Data Using Debiased ERA5 Data
Missing data in hourly and daily temperature data series is a common problem in long-term data series and many observational networks. Agricultural and environmental models and climate-related tools can be used only if weather data series are complete. To support user communities, a technique for ga...
| Main Authors: | , , , |
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| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
MDPI AG
2019-01-01
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| סדרה: | Atmosphere |
| נושאים: | |
| גישה מקוונת: | http://www.mdpi.com/2073-4433/10/1/13 |