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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
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Time series transformation tool: development and use in CCsP projects
Parallel to the development of the KNMI’06 climate scenarios in 2006, a tool was developed to
gen...
J Bessembinder, A Bakker, R Leander, A Feijt | Year: 2011
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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
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In Situ Aircraft Measurements of CO2 and CH4: Mapping Spatio-Temporal Variations over Western Korea in High-Resolutions
A cavity ring-down spectroscopy (CRDS) G-2401m analyzer onboard a Beechcraft King Air
350, a newK...
S Li, Y Kim, J Kim, ST Kenea, TY Goo, L Labzovskii, YH Byun | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | doi: doi:10.3390/rs12183093
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