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First 941 results for ” F Hase”

1. Daedalus MASE (mission assessment through simulation exercise): A toolset for analysis of in situ missions and for processing global circulation model outputs in the lower thermosphere-ionosphere

   Daedalus MASE (Mission Assessment through Simulation Exercise) is an open-source package of scien...

   Sarris TE, Tourgaidis S, Pirnaris P, Baloukidis, D, Papadakis K, Psychalas C, Buchert SC, Doornbos E, Clilverd MA, Verronen PT, Malaspina D, Ahmadi N, Dandouras I, , Kotova A, Miloch WJ, Knudsen D, Olsen N, , Marghitu O, Matsuo T, Lu G, Marchaudon A, , Hoffmann A, Lajas D, Strømme A, Taylor M, , Aikio A, Palmroth M, Heelis R, Ivchenko N, , Stolle C, Kervalishvili G, Moretto-Jørgensen, T, Pfaff R, Siemes C, Visser P, van den Ijssel, J, Liu H-L, Sandberg I, Papadimitriou C, , Vogt J, Blagau A and Stachlys N | Journal: Front. Astron. Space Sci. | Volume: 9 | Year: 2023 | doi: https://doi.org/10.3389/fspas.2022.1048318

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2. Aerosol Retrieval and Assimilation (ARIA) - final report

   Climate assessments are hampered by the large uncertainties involved in the estimation of the eff...

   GHL Verver, JS Henzing, PFJ van Velthoven, C Robles-Gonzales (TNO-FEL), G de Leeuw (TNO-FEL) | Year: 2002 | Pages: 35

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3. Rainfall generator for the Meuse basin: Description of simulations with and without a memory term and uncertainty analysis

   The rainfall generator has been developed to generate long synthetic sequences of daily precipita...

   Maurice Schmeits, Jules Beersma, Adri Buishand | Year: 2014 | Pages: 21

   Publication

4. CERRA, the Copernicus European Regional Reanalysis system

   A regional reanalysis has been produced for a domain covering entire Europe from 1984 to 2021. Th...

   Martin Ridal, Eric Bazile, Patrick Le Moigne, Roger Randriamampianina, Semjon Schimanke, Ulf Andrae, Lars Berggren, Pierre Brousseau, Per Dahlgren, Lisette Edvinsson, Adam El-Said, Michael Glinton, Susanna Hagelin, Susanna Hopsch, Ludvig Isaksson, Paulo Medeiros, Esbjörn Olsson, Per Unden, Zheng Qi Wang | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 150 | Year: 2024 | First page: 1 | Last page: 27 | doi: https://doi.org/10.1002/qj.4764

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5. Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models

   Climate change has a large influence on the occurrence of extreme hydrological events. However, r...

   SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108

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