Publikationen von Jos Lelieveld

Preprint (45)

661.
Preprint
Reifenberg, S. F., Martin, A., Kohl, M., Hamryszczak, Z., Tadic, I., Röder, L., Crowley, D. J., Fischer, H., Kaiser, K., Schneider, J., Dörich, R., Crowley, J. N., Tomsche, L., Marsing, A., Voigt, C., Zahn, A., Pöhlker, C., Holanda, B., Krüger, O. O., Pöschl, U., Pöhlker, M., Jöckel, P., Dorf, M., Schumann, U., Williams, J., Curtius, J., Harder, H., Schlager, H., Lelieveld, J. und Pozzer, A.: Impact of reduced emissions on direct and indirect aerosol radiative forcing during COVID–19 lockdown in Europe, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2021-1005, 2021.
662.
Preprint
Li, M., Pozzer, A., Lelieveld, J. und Williams, J.: Global atmospheric ethane, propane and methane trends (2006–2016), Earth System Science Data Discussions, 13, doi:10.5194/essd-2021-246, 2021.
663.
Preprint
Schallock, J., Brühl, C., Bingen, C., Höpfner, M., Rieger, L. und Lelieveld, J.: Radiative forcing by volcanic eruptions since 1990, calculated with a chemistry-climate model and a new emission inventory based on vertically resolved satellite measurements, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2021-654, 2021.
664.
Preprint
Dienhart, D., Crowley, J. N., Bourtsoukidis, E., Edtbauer, A., Eger, P. G., Ernle, L., Harder, H., Hottmann, B., Martinez, M., Parchatka, U., Paris, J.-D., Pfannerstill, E. Y., Rohloff, R., Schuladen, J., Stönner, C., Tadic, I., Tauer, S., Wang, N., Williams, J., Lelieveld, J. und Fischer, H.: Measurement report: Observation-based formaldehyde production rates and their relation to OH reactivity around the Arabian Peninsula, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2021-304, 2021.
665.
Preprint
Dörich, R., Eger, P., Lelieveld, J. und Crowley, J. N.: Iodide-CIMS and m/z 62: The detection of HNO3 as NO3 in the presence of PAN, peracetic acid and O3, Atmospheric Measurement Techniques Discussions, 14, doi:10.5194/amt-2021-57, 2021.
666.
Preprint
Paris, J.-D., Riandet, A., Bourtsoukidis, E., Delmotte, M., Berchet, A., Williams, J., Ernle, L., Tadic, I., Harder, H. und Lelieveld, J.: Shipborne measurements of methane and carbon dioxide in the Middle East and Mediterranean areas and contribution from oil and gas emissions, Atmospheric Chemistry and Physics Discussions, 21, doi:10.5194/acp-2021-114, 2021.
667.
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.
668.
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.
669.
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.
670.
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.
671.
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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