Filling Gaps in Hourly Air Temperature Data Using Debiased ERA5 Data

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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron: Miloš Lompar, Branislava Lalić, Ljiljana Dekić, Mina Petrić
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: MDPI AG 2019-01-01
Cyfres:Atmosphere
Pynciau:
air temperature data gap
gap filling
ERA5
debiasing techniques
Mynediad Ar-lein:http://www.mdpi.com/2073-4433/10/1/13

Rhyngrwyd

http://www.mdpi.com/2073-4433/10/1/13

Eitemau Tebyg