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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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Impact of changes in the formulation of cloud‐related processes on model biases and climate feedbacks
To test the impact of modeling uncertainties and biases on the simulation of cloud feedbacks, sev...
C Lacagnina, FM Selten, AP Siebesma | Status: published | Journal: J. of Advances in Modeling Earth Systems | Year: 2014 | First page: 1224 | Last page: 1243 | doi: 10.1002/2014MS000341
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Retrieving atmospheric turbulence information from regular commercial aircraft using Mode-S and ADS-B
Navigational information broadcast by commercial aircraft in the form of Mode-S EHS (Mode-S Enhan...
JM Kopec, K Kwiatkowski, S de Haan, SP Malinowski | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2016 | doi: 10.5194/amt-9-2253-2016
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Report on CPP retrievals and assistance to the field experiments (WP22) (HAIC Deliverable D32.3)
The KNMI CPP algorithm was used to support the HAIC A340 campaign held in January 2016 – the thir...
ATJ de Laat, JF Meirink | Year: 2016
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The CMOD7 Geophysical Model Function for ASCAT and ERS Wind Retrievals
A new geophysical model function (GMF), called CMOD7, has been developed for intercalibrated ERS ...
A Stoffelen, J Verspeek, J Vogelzang, A Verhoef | Status: published | Journal: IEEE Journal of Selected Topics in Applied Earth O | Year: 2017 | First page: 1 | Last page: 12 | doi: 10.1109/JSTARS.2017.2681806
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