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First 303 results for ” K Nishimura”

1. An artificial intelligence agent that synthesises visual abstractions of natural forms to support the design of human-made habitat structures

   Biodiversity is in a state of global collapse. Among the main drivers of this crisis is habitat d...

   Gabriele Mirra, Alexander Holland, Stanislav Roudavski, Jasper S. Wijnands, Alberto Pugnale | Journal: Frontiers in Ecology and Evolution | Volume: 10 | Year: 2022 | First page: 1 | Last page: 21 | doi: https://doi.org/10.3389/fevo.2022.806453

   Publication

2. Detection of NO2 pollution plumes from individual ships with the TROPOMI/S5P satellite sensor

   This paper presents an analysis of tropospheric NO2 column measurements from the TROPOspheric Mon...

   Georgoulias, A. K, Boersma, K.F., van Vliet, J., Zhang, X., van der A, R., Zanis, P., and de Laat, J | Journal: IOP Publishing Ltd | Volume: 15 | Year: 2020 | doi: 10.1088/1748-9326/abc445

   Publication

3. Observations: Surface and Atmospheric Climate Change
   KE Trenberth, PD Jones, P Ambenje, R Bojariu, D Easterling, A Klein Tank, D Parker, F Rahimzadeh, JA Renwick, M Rusticucci, B Soden, P Zhai | Year: 2007

   Publication

4. Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP
   E Proestakis, V Amiridis, E Marinou, AK Georgoulias, S Solomos, S Kazadzis, J Chimot, H Cge, G Alexandri, I Binietoglou, I Daskalopoulou, G de Leeuw, RJ van der A | Status: published | Journal: Atm. Chem. Phys. | Year: 2018 | First page: 1337 | Last page: 1362 | doi: 10.5194/acp-18-1337-2018

   Publication

5. Transdimensional ambient-noise surface wave tomography of the Reykjanes Peninsula, SW Iceland

   Ambient noise seismic tomography has proven to be an effective tool for subsurface imaging, parti...

   Amin Rahimi Dalkhani, Thorbjörg Ágústsdóttir, Égill Arni Gudnason, Gylfi Páll Hersir, Xin Zhang, and Cornelis Weemstra | Journal: Geophysical Journal International | Volume: 236 | Year: 2024 | First page: 621 | Last page: 643 | doi: https://doi.org/10.1093/gji/ggad435

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