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First 2305 results for ”W Thiery”

1. How to utilise the knowledge of causal responses?

   Our physical and physiological theory provides causal explanations of various phenomena in forest...

   P Hari, M Havimo, HS Helmisaari, L Kulmala, E Nikinmaa, T Vesala, J Räisänen, T Petäjä, E Siivola, H Tuomenvirta, J Bäck, J Grace, F Magnani, T van Noije, J Pumpanen, D Stevenson, M Kulmala, S Smolander, I Riipinen, M Dal Maso | Year: 2013

   Publication

2. Comprehensible Control for Researchers and Developers Facing Data Challenges

   The DARE platform enables researchers and their developers to exploit more capabilities to handle...

   Malcolm Atkinson, Alessandro Spinuso | Journal: 15th International Conference on eScience (eScience) | Year: 2019 | doi: 10.1109/eScience.2019.00042

   Publication

3. Hot-air balloon forecasts at KNMI, a validation study for the application of ECMWF and HIRLAM data

   This validation study focuses on the input data quality for the special hot-air balloon forecasts...

   Cisco de Bruijn, Bas de Haan, Paul de Valk, and Sander Tijm | Year: 2021 | Pages: 24

   Publication

4. An improved correction method for high quality wind and temperature observations derived from Mode-S EHS

   Upper air atmospheric wind and temperature information is crucial for numerical weather predictio...

   Siebren de Haan | Year: 2013 | Pages: 54

   Publication

5. Technical description of the KNMI Rainfall Generators for the Rhine and Meuse basins

   This report gives a technical description of what is briefly known as the KNMI Rainfall (or Weath...

   Jules J. Beersma, T. Adri Buishand and Maurice J. Schmeits | Year: 2014 | Pages: 32

   Publication