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Extreme hydro-meteorological events and their probabilities
Extreme hydro-meteorological events usually have a large impact on our society. For safety standa...
JJ Beersma | University: Wageningen Universiteit | Year: 2007
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An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts
Empirical models, designed to predict surface variables over seasons to decades ahead, provide us...
EB Suckling, GJ van Oldenborgh, JM Eden, E Hawkins | Status: published | Journal: Clim. Dyn. | Year: 2016 | doi: 10.1007/s00382-016-3255-8
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In-operation field-of-view retrieval (IFR) for satellite and ground-based DOAS-type instruments applying coincident high-resolution imager data
This paper presents an independent, simple and robust method to retrieve the FOV of an instrument...
H Sihler, P Lübcke, R Lang, S Beirle, M de Graaf, C Hörmann, J Lampel, M Penning de Vries, J Remmers, E Trollope, Y Wang | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 10 | Year: 2017 | First page: 881 | Last page: 903 | doi: 10.5194/amt-10-881-2017
Publication
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Did the ECMWF seasonal forecast model outperform a statistical model over the last 15 years?
Since 1997 the European Centre for Medium-Range Weather Forecasts (ECMWF) has made seasonal forec...
GJ van Oldenborgh, MA Balmaseda, L Ferranti, TN Stockdale, DLT Anderson | Year: 2003
Publication
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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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