Preprint (171)

7151.
Preprint
Kumar, V., Remmers, J., Beirle, S., Fallmann, J., Kerkweg, A., Lelieveld, J., Mertens, M., Pozzer, A., Steil, B. und Wagner, T.: Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements, Atmospheric Measurement Techniques Discussions, 14, doi:10.5194/amt-2021-23, 2021.
7152.
Preprint
Nussbaumer, C., Tadic, I., Dienhart, D., Wang, N., Edtbauer, A., Ernle, L., Williams, J., Obersteiner, F., Gutiérrez-Álvarez, I., Harder, H., Lelieveld, J. und Fischer, H.: Measurement report: In situ observations of deep convection without lightning during the tropical cyclone Florence 2018, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2021-79, 2021.
7153.
Preprint
Cheng, Y., Ma, N., Witt, C., Rapp, S., Wild, P., Andreae, M. O., Pöschl, U. und Su, H.: High efficacy of face masks explained by characteristic regimes of airborne SARS-CoV-2 virus abundance, , doi:10.1101/2020.09.10.20190348 , 2021.
7154.
Preprint
Chen, C., Wang, X., Binder, K., Ghahremanpour, M. M., van der Spoel, D., Pöschl, U., Su, H. und Cheng, Y.: Energetic analysis of succinic acid in water droplets: insight into the size-dependent solubility of atmospheric nanoparticles, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2020-1329, 2021.
7155.
Preprint
Tadic, I., Nussbaumer, C., Bohn, B., Harder, H., Marno, D., Martinez, M., Obersteiner, F., Parchatka, U., Pozzer, A., Rohloff, R., Zöger, M., Lelieveld, J. und Fischer, H.: Central role of nitric oxide in ozone production in the upper tropical troposphere over the Atlantic Ocean and West Africa, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2021-52, 2021.
7156.
Preprint
Friedrich, N., Eger, P., Shenolikar, J., Sobanski, N., Schuladen, J., Dienhart, D., Hottmann, B., Tadic, I., Fischer, H., Martinez, M., Rohloff, R., Tauer, S., Harder, H., Pfannerstill, E. Y., Wang, N., Williams, J., Brooks, J., Drewnick, F., Su, H., Li, G., Cheng, Y., Lelieveld, J. und Crowley, J. N.: Reactive nitrogen around the Arabian Peninsula and in the Mediterranean Sea during the 2017 AQABA ship campaign, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2021-42, 2021.
7157.
Preprint
Prass, M., Andreae, M. O., de Araùjo, A. C., Artaxo, P., Ditas, F., Elbert, W., Franco, M. A., Hrabe de Angelis, I., Kesselmeier, J., Klimach, T., Kremper, L. A., Thines, E., Walter, D., Weber, J., Weber, B., Fuchs, B. M., Pöschl, U. und Pöhlker, C.: Bioaerosols in the Amazon rain forest: Temporal variations and vertical profiles of Eukarya, Bacteria and Archaea, Biogeosciences Discussions, 18, doi:10.5194/bg-2020-469, 2021.
7158.
Preprint
Xiang, Y., Zhang, T., Ma, C., Lv, L., Liu, J., Liu, W. und Cheng, Y.: Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2020-1273, 2021.
7159.
Preprint
Mahnke, C., Weigel, R., Cairo, F., Vernier, J.-P., Afchine, A., Krämer, M., Mitev, V., Matthey, R., Viciani, S., D'Amato, F., Ploeger, F., Deshler, T. und Borrmann, S.: The ATAL within the 2017 Asian Monsoon Anticyclone: Microphysical aerosol properties derived from aircraft-borne in situ measurements, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2020-1241, 2021.
7160.
Preprint
Weigel, R., Mahnke, C., Baumgartner, M., Krämer, M., Spichtinger, P., Spelten, N., Afchine, A., Rolf, C., Viciani, S., D'Amato, F., Tost, H. und Borrmann, S.: New particle formation inside ice clouds: In-situ observations in the tropical tropopause layer of the 2017 Asian Monsoon Anticyclone, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2020-1285, 2021.
7161.
Preprint
Flores-Livas, J. A., Wang, T., Nomoto, T., Koretsune, T., Ma, Y., Arita, R. und Eremets, M.: Reaching room temperature superconductivity by optimizing doping in LaH10?, [online] Available from: https://arxiv.org/pdf/2010.06446, 2020.
7162.
Preprint
Klingmüller, K. und Lelieveld, J.: Climate model-informed deep learning of global soil moisture distribution, Geoscientific Model Development Discussions, 14, doi:10.5194/gmd-2020-434, 2020.
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