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First 69 results for ”Liu”

1. Global retrieval of TROPOMI tropospheric HCHO and NO2 columns with improved consistency based on updated Peking University OMI NO2 algorithm,

   The TROPOspheric Monitoring Instrument (TROPOMI), aboard the Sentinel-5 Precursor (S5P) satellite...

   Zhang, Y., Yu, H., De Smedt, I., Lin, J., Theys, N., Van Roozendael, M., Pinardi, G., Compernolle, S., Ni, R., Ren, F., Wang, S., Chen, L., Van Geffen, J., Liu, M., Cede, A., Merlaud, A., Friedrich, M., Richter, A., Piters, A., Kumar, V., Sinha, V., Wagner, T., Choi, Y., Takashima, H., Kanaya, Y., Irie, H., Spurr, R., Sun, W., and Fabris, L. | Journal: Atmos. Meas. Tech. | Volume: 18 | Year: 2025 | First page: 1561 | Last page: 1589 | doi: 10.5194/amt-18-1561-2025

   Publication

2. 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

3. Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres

   Data assimilation (DA) methods for convective-scale numerical weather predictionat operational ce...

   Nils Gustafsson, Tijana Janjić, Christoph Schraff, Daniel Leuenberger, Martin Weissmann, Hendrik Reich, Pierre Brousseau, Thibaut Montmerle, Eric Wattrelot, Antonín Bučánek, Máté Mile, Rafiq Hamdi, Magnus Lindskog, Jan Barkmeijer, Mats Dahlbom, Bruce Macpherson, Sue Ballard, Gordon Inverarity, Jacob Carley, Curtis Alexander, David Dowell, Shun Liu, Yasutaka Ikuta, Tadashi Fujita | Status: published | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 144 | Year: 2017 | doi: https://doi.org/10.1002/qj.3179

   Publication

4. Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres

   Data assimilation (DA) methods for convective-scale numerical weather prediction at operational c...

   Nils Gustafsson1 Tijana Janjic ́2 Christoph Schraff3 Daniel Leuenberger4 Martin Weissmann5 Hendrik Reich5 Pierre Brousseau6 Thibaut Montmerle6 Eric Wattrelot6 Antonín Bucˇánek7 Máté Mile8 Rafiq Hamdi9 Magnus Lindskog1 Jan Barkmeijer10 Mats Dahlbom11 Bruce Macpherson12 Sue Ballard12 Gordon Inverarity12 Jacob Carley13 Curtis Alexander14 David Dowell14 Shun Liu13 Yasutaka Ikuta15 Tadashi Fujita15 | Journal: Quarterly Journal of the Royal Meteorological Society, | Volume: 144 | Year: 2018 | First page: 1218 | Last page: 1256 | doi: 10.1002/qj.3179

   Publication

5. 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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