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Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods
This paper aims to improve short-term forecasting of clouds to accelerate the usability of solar ...
Dennis Knol, Fons de Leeuw, Jan Fokke Meirink, Valeria V. Krzhizhanovskaya | Year: 2021
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Global observed changes in daily climate extremes of temperature and precipitation
A suite of climate change indices derived from daily temperature and precipitation data, with a p...
LV Alexander, X Zhang, TC Peterson, J Caesar, B Gleason, AMG Klein Tank, M Haylock, D Collins, B Trewin, F Rahimzadeh, A Tagipour, P Ambenje, K Rupa Kumar, J Revadekar, G Griffiths | Status: published | Journal: J. Geophys. Res. | Volume: 111 | Year: 2006 | doi: 10.1029/2005JD006290
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Extinction-ice water content-effective radius algorithms for CALIPSO
Interrelationships between volume extinction oefficient, ice water content (IWC), and effective r...
AJ Heymsfield, D Winker, GJ van Zadelhoff | Status: published | Journal: Geophys. Res. Lett. | Volume: 32 | Year: 2005 | doi: 10.1029/2005GL022742
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The Canadian CloudSat Validation Project
The CloudSat satellite mission, a joint venture by NASA and the Canadian Space Agency, has deploy...
D Hudak, H Barker, P Rodriguez, D Donovan | Conference: ERAD 2006 | Place: Barcelona | Year: 2006 | First page: 209 | Last page: 212
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An Investigation of the Eddy-Covariance Flux Imbalance in a Year-Long Large-Eddy Simulation of the Weather at Cabauw
The low-frequency contribution to the systematic and random sampling errors in single-tower eddy-...
J Schalkwijk, HJJ Jonker, AP Siebesma | Status: published | Journal: Bound.-Layer Meteorol. | Volume: 160 | Year: 2016 | First page: 17 | Last page: 39 | doi: 10.1007/s10546-016-0138-9
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