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First 147 results for ” JK Kodros”

1. Evaluation of global simulations of aerosol particle number and cloud condensation nuclei, and implications for cloud droplet formation

   A total of 16 global chemistry transport models and general circulation models have participated ...

   G Fanourgakis, M Kanakidou, A Nenes, SE Bauer, T Bergman, KS Carslaw, A Grini, DS Hamilton, JS Johnson, VA Karydis, A Kirkevåg, JK Kodros, U Lohmann, G Luo, R Makkonen, H Matsui, D Neubauer, JR Pierce, J Schmale, P Stier, K Tsigaridis, T van Noije, H Wang, D Watson-Parris, DM Westervelt, Y Yang, M Yoshioka, N Daskalakis, S Decesari, M Gysel-Beer, N Kalivitis, X Liu, NM Mahowald, S Myriokefalitakis, R Schrödner, M Sfakianaki, AP Tsimpidi, M Wu, M., F Yu | Status: published | Journal: Atmos. Chem. Phys. | Volume: 19 | Year: 2019 | First page: 8591 | Last page: 8617 | doi: 10.5194/acp-19-8591-2019

   Publication

2. Hydrometeorological monitoring using opportunistic sensing networks in the Amsterdam metropolitan area

   The ongoing urbanization and climate change urges further understanding and monitoring of weather...

   LW de Vos, AM Droste, MJ Zander, A Overeem, H Leijnse, BG Heusinkveld, GJ Steeneveld, R Uijlenhoet | Status: published | Journal: BAMS | Volume: 101 | Year: 2020 | First page: E167 | Last page: E185 | doi: 10.1175/BAMS-D-19-0091.1

   Publication

3. MAX-DOAS NO2 observations over Guangzhou, China; ground-based and satellite comparisons
   T Drosouglou, ME Koukouli, N Kouremeti, AF Bais, I Zyrichidou, D Balis, RJ van der A, J Xu, A Li | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2018 | First page: 2239 | Last page: 2255 | doi: 10.5194/amt-11-2239-2018

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4. Crowdsourcing urban air temperatures through smartphone battery temperatures in São Paulo, Brazil

   Crowdsourcing as a method to obtain and apply vast datasets is rapidly becoming prominent in mete...

   Droste, Pape, Overeem, Leijnse, Steeneveld, Delden, Uijlenhoet | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 34 | Year: 2017 | First page: 1853 | Last page: 1866 | doi: 10.1175/JTECH-D-16-0150.1

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5. dispel4py: An agile framework for data-intensive escience

   We present dispel4py a versatile data-intensive kit presented as a standard Python library. It em...

   Rosa Filgueira, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: https://doi.org/10.1109/eScience.2015.40

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