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First 625 results for ” L Miloshevich”

  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

    Publication

  2. Polar mesospheric clouds (PMCs) observed by the Ozone Monitoring Instrument (OMI) on Aura

    MT DeLand, EP Shettle, PF Levelt, MG Kowalewski | Status: published | Journal: J. Geophys. Res. | Volume: 115 | Year: 2010 | First page: D21301 | doi: 10.1029/2009JD013685.

    Publication

  3. The structure and realism of sensitivity structures and their interpretation as 'Key Analysis Errors'

    L Isaksen, M Fisher, E Andersen, J Barkmeijer | Status: accepted | Journal: Quart. J. Royal Meteorol. Soc. | Year: 2005

    Publication

  4. Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations

    Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere (TOA) r...

    L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125

    Publication

  5. Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project

    Uncertainty in estimations of the net contribution of anthropogenic aerosol particles, particular...

    I Riipinen, S Talvinen, A Chassaing, P Georgakaki, X Li, C Pérez García-Pando, T Bergman, SM Kommula, U Proske, A Gkouvousis, AP Tsimpidi, M Chatziparaschos , A Neuberger, VA Karydis, SM Calderón, S Romakkaniemi, DG Partridge, T Khadir, L Dada, T van Noije, S Decesari, Ø Seland, P Zieger, F Bender, K Carlslaw, J Cermak, M Costa-Surós, M Gonçalves Ageitos, Y Gramlich, OW Haugvaldstad, E Holopainen, C Hoose, O Jorba, S Kakavas, M Kanakidou, H Kokkola, R Krejci, T Kühn, M Kulmala, P Le Sager, R Makkonen, SEI Manavi, TF Mentel, A Milousis, S Myriokefalitakis, A Nenes, T Nieminen, SN Pandis, D Patoulias, T Petäjä, J Quaas, L Regayre, SMC Scholz, M Schulz, K Skyllakou, R Sousse, P Stier, MA Thomas, JT Villinger, A Virtanen, K Wyser, AML Ekman | Journal: Tellus B: Chem. Phys. Meteorol. | Volume: 78 | Year: 2026 | First page: 1 | Last page: 66 | doi: 10.16993/tellusb.1883

    Publication