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First 1610 results for ” E. Buijsman”

1. A global empirical system for probabilistic seasonal climate prediction

   Preparing for episodes with risks of anomalous weather a month to a year ahead is an important ch...

   JM Eden, GJ van Oldenborgh, E Hawkins, EB Suckling | Status: published | Journal: Geoscientific Model Development | Volume: 8 | Year: 2015 | First page: 3947 | Last page: 3973 | doi: doi:10.5194/gmd-8-3947-2015

   Publication

2. A global empirical system for probabilistic seasonal climate prediction

   Preparing for episodes with risks of anomalous weather a month to a year ahead is an important ch...

   JM Eden, GJ van Oldenborgh, E Hawkins, EB Suckling | Status: published | Journal: Geoscientific Model Development | Volume: 8 | Year: 2015 | First page: 3947 | Last page: 3971 | doi: doi:10.5194/gmd-8-3947-2015

   Publication

3. Simultaneous observations of lower tropospheric continental aerosols with a ground-based, an airborne, and the spaceborne CALIOP lidar system

   We present an original experiment with multiple lidar systems operated simultaneously to study th...

   P Chazette, J-C Raut, F Dulac, S Berthier, S-W Kim, P Royer, J Sanak, S Loaec, H Grigaut-Desbrosses | Status: published | Journal: J. Geophys. Res. | Volume: 115 | Year: 2010 | doi: 10.1029/2009JD012341

   Publication

4. The TROPOMI surface UV algorithm

   The TROPOspheric Monitoring Instrument (TROPOMI) is the only payload of the Sentinel-5 Precursor ...

   AV Lindfors, J Kujanpää, N Kalakoski, A Heikkilä, K Lakkala, T Mielonen, M Sneep, NA Krotkov, A Arola, J Tamminen1 | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 997 | Last page: 1008 | doi: 10.5194/amt-11-997-2018

   Publication

5. DeepQuake — An application of CNN for seismo-acoustic event classification in The Netherlands

   Recent developments in instrumentation and methodology are major driving forces in the advances o...

   Luca Trani, Giuliano Andrea Pagani, João Paulo Pereira Zanetti, Camille Chapeland, Läslo Evers | Journal: Computers & Geosciences | Volume: 159 | Year: 2022 | doi: https://doi.org/10.1016/j.cageo.2021.104980

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