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Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations
Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere
(TOA) r...
L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125
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Evaluating the diurnal cycle of South Atlantic stratocumulus clouds as observed by MSG SEVIRI
Marine stratocumulus (Sc) clouds play an essential role in the earth radiation budget. Here, we c...
C Seethala, JF Meirink, A Horvath, R Bennartz, R Roebeling | Status: published | Journal: Atm. Chem. Phys. | Volume: 18 | Year: 2018 | First page: 13283 | Last page: 13304 | doi: 10.5194/acp-18-13283-2018
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KNMI contribution to the WMO Laboratory Intercomparison of Rainfall Intensity Gauges
The Commission for Instruments and Methods of Observation (CIMO-XII Casablanca, 1998) of the Worl...
W. Wauben | Year: 2006 | Pages: 174
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Severe wind gust thresholds for Meteoalarm derived from uniform return periods in ECA&D
This study presents guidelines for wind gust warning thresholds in Meteoalarm, the severe weather...
A Stepek, IL Wijnant, G van der Schrier, EJM van den Besselaar, AMG Klein Tank | Conference: 13th International Conference on Wind Engineering | Place: Amsterdam | Year: 2011 | First page: 0 | Last page: 0
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Time series transformation tool: description of the program to generate time series consistent with the KNMI'06 climate scenarios
Parallel to the development of the KNMI’06 climate scenarios in 2006 a tool was developed to gene...
A Bakker, J Bessembinder | Year: 2012 | Pages: 75
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