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First 1091 results for ” Ø Seland”

1. Satellite-based evaluation of AeroCom model bias in biomass burning regions

   Global models are widely used to simulate biomass burning aerosol (BBA). Exhaustive evaluations o...

   Q Zhong, N Schutgens, G van der Werf, T van Noije, K Tsigaridis, SE Bauer, T Mielonen, A Kirkevåg, Ø Seland, H Kokkola, R Checa-Garcia, D Neubauer, Z Kipling, H Matsui, P Ginoux, T Takemura, P Le Sager, S Rémy, H Bian, M Chin, K Zhang, J Zhu, SG Tsyro, G Curci, A Protonotariou, B Johnson, JE Penner, N Bellouin, RB Skeie, G Myhre | Journal: Atmos. Chem. Phys. | Volume: 22 | Year: 2022 | First page: 11009 | Last page: 11032 | doi: 10.5194/acp-22-11009-2022

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2. Comparison of particle number size distribution trends in ground measurements and climate models

   Despite a large number of studies, out of all drivers of radiative forcing, the effect of aerosol...

   V Leinonen, H Kokkola, T Yli-Juuti, T Mielonen, T. Kühn, T Nieminen, S Heikkinen, T Miinalainen, T Bergman, K Carslaw, S Decesari, M Fiebig, T Hussein, N Kivekäs, R Krejci, M Kulmala, A Leskinen, A Massling, N Mihalopoulos, JP Mulcahy, SM Noe, T van Noije, FM O'Connor, C O'Dowd, D Olivie, JB Pernov, T Petäjä, Ø Seland, M Schulz, CE Scott, H Skov, E Swietlicki, T Tuch, A Wiedensohler, A Virtanen, S Mikkonen | Journal: Geosci. Mod. Dev. | Volume: 22 | Year: 2022 | First page: 12873 | Last page: 12905 | doi: 10.5194/acp-22-12873-2022

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

   Recent developments of infrastructures and methods are major driving forces in the advances of so...

   L Trani, GA Pagani, JP Pereira Zanetti, CGM Chapeland, LG Evers | Status: submitted | Journal: Geophys. Res. Lett. | Year: 2020 | doi: https://doi.org/10.1002/essoar.10505253.2

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4. Earth Explorer 7 Candidate Mission PREMIER: Addendum to the Report for Mission Selection

   This report summarises the results of the activities performed in the context of the extension to...

   ESA, M van Weele, et al. | Year: 2013

   Publication

5. Exploring Spatiotemporal Phenological Patterns and Trajectories Using Self-Organizing Maps

   Consistent satellite image time series are increasingly accessible to geoscientists, allowing an ...

   R Zurita-Milla, JAE van Gijsel, NAS Hamm, PWM Augustijn, A Vrieling | Status: published | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 51 | Year: 2013 | First page: 1914 | Last page: 1921 | doi: 10.1109/TGRS.2012.2223218

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