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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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Ocean dead zones: On the Lack of Sea Surface Height Variability near the Continental Shelf Edge
We analyse the spatial pattern of sea surface height variability (SSV) in the North
Atlantic usin...
H de Vries, P Sterlini, S Dangendorf, CA Katsman, RSW vd Wal | Status: submitted | Journal: Clim. Dyn. | Year: 2016
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Stochastic Convection Parameterization with Markov Chains in an Intermediate-Complexity GCM
Conditional Markov chain (CMC) models have proven to be promising building blocks for stochastic ...
J Dorrestijn, DT Crommelin, AP Siebesma, HJJ Jonker, F Selten | Status: published | Journal: J. Atmos. Sci. | Volume: 73 | Year: 2016 | First page: 1367 | Last page: 1382 | doi: 10.1175/JAS-D-15-0244.1
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Space-based NOx emission estimates over remote regions improved in DECSO
We improve the emission estimate algorithm DECSO (Daily Emission estimates Constrained by Satelli...
J Ding, RJ van der A, B Mijling, PF Levelt | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 10 | Year: 2017 | First page: 925 | Last page: 938 | doi: 10.5194/amt-10-925-2017
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On mesoscale analysis and ASCAT ambiguity removal
The two-dimensional variational ambiguity removal (2DVAR) method provides a spatial analysis of t...
W Lin, M Portabella, A Stoffelen, J Vogelzang, A Verhoef | Status: published | Journal: Quart. J. Royal Meteor. Soc. | Volume: 142 | Year: 2016 | First page: 1745 | Last page: 1756 | doi: 10.1002/qj.2770
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