2020

Senf, F.

Metadata for ‚2020_data_cre-north-atlantic-paper.tgz‘

World Data Center for Climate (WDCC) at DKRZ

Senf, F.

NAWDEX Analysis Tools: Python Package for Analysis of CRE in the North Atlantic - Publication Release (Version v1.0.1) (Zenodo)

Senf, F.

Post-Processed Simulation Data of ICON-LEM-DE Absorbing Aerosol Perturbation Experiments

World Data Center for Climate (WDCC) at DKRZ

Sporre, M. K., Blichner, S. M., Schrödner, R., Karset, I. H. H., Berntsen, T. K., van Noije, T., Bergman, T., O’Donnell, D., Makkonen, R.

Large difference in aerosol radiative effects from BVOC-SOA treatment in three Earth system models

Atmos. Chem. Phys., 20, 8953-8973

doi:10.5194/acp-20-8953-2020

Thiel, N., Münch, S., Behrens, W., Junker, V., Faust, M., Biniasch, O., Kabelitz, T., Siller, P., Boedeker, C., Schumann, P., Roesler, U., Amon, T., Schepanski, K., Funk, R., Nübel, U.

Airborne bacterial emission fluxes from manure-fertilized agricultural soil

Microb. Biotechnol., 13, 1631-1647 , ISBN: 1751-7915

doi:10.1111/1751-7915.13632

van Pinxteren, M., Fomba, K. W., Triesch, N., Stolle, C., Wurl, O., Bahlmann, E., Gong, X., Voigtländer, J., Wex, H., Robinson, T.-B., Barthel, S., Zeppenfeld, S., Hoffmann, E. H., Roveretto, M., Li, C., Grosselin, B., Daële, V., Senf, F., van Pinxteren, D., Manzi, M., Zabalegui, N., Frka, S., Gašparović, B., Pereira, R., Li, T., Wen, L., Li, J., Zhu, C., Chen, C., Chen, J., Fiedler, B., von Tümpling, W., Read, K. A., Punjabi, S., Lewis, A. C., Hopkins, J. R., Carpenter, L. J., Peeken, I., Rixen, T., Schulz-Bull, D., Monge, M. E., Mellouki, A., George, C., Stratmann, F., Herrmann, H.

Marine organic matter in the remote environment of the Cape Verde Islands – An introduction and overview to the MarParCloud campaign

Atmos. Chem. Phys., 20, 6921-6951

doi:10.5194/acp-20-6921-2020

Vandenbussche, S., Callewaert, S., Schepanski, K., De Mazière, M.

North African mineral dust sources: New insights from a combined analysis based on 3D dust aerosol distributions, surface winds and ancillary soil parameters

Atmos. Chem. Phys., 20, 15127-15246

doi:10.5194/acp-20-15127-2020

Villanueva, D., Heinold, B., Seifert, P., Deneke, H., Radenz, M., Tegen, I.

The day-to-day co-variability between mineral dust and cloud glaciation: A proxy for heterogeneous freezing

Atmos. Chem. Phys., 20, 2177-2199

doi:10.5194/acp-20-2177-2020

Vogel, D.

Solving the Shallow water equation on the cubed sphere using the finite element method

B.Sc., Leipzig University of Applied Sciences, Faculty of Computer Science, Mathematics and Natural Sciences, x, 54 pp.

Wagner, Robert

Dust emissions driven by pyro-convection - A model perspective

Ph. D., University of Leipzig, Faculty of Physics and Earth Sciences, iii, 144 pp.

Weger, M., Heinold, B., Knoth, O.

CAIRDIO City-Scale Air Dispersion Model with Diffusive Obstacles (Version 1.0) (Zenodo)

Weger, M., Heinold, B., Knoth, O.

CAIRDIO City-Scale Air Dispersion Model with Diffusive Obstacles (Version 1.0) (Zenodo)

Weger, M., Heinold, B., Knoth, O.

CAIRDIO City-Scale Air Dispersion Model with Diffusive Obstacles (Version 1.0) (Zenodo)

Wolke, R., Chen, Y., Schröder, W., Spindler, G., Wiedensohler, A.

A parameterization of heterogeneous hydrolysis of N2O5 for 3-D atmospheric modelling

Mensink, C., Gong, W., Hakami, A. (Ed.), In: Air pollution modeling and its application XXVI : Proceedings of the 36th International Technical Meeting on Air Pollution Modelling and Its Application (Ottawa, Canada, 14-18 May 2018), Springer International Publishing, Cham, Switzerland, p. 377-382 (Chapter 60), (Springer Proceedings in Complexity ; 26) , ISBN: ISBN 978-3-030-22054-9 (Print), ISBN 978-3-030-22055-6 (Online)

2019

Banks, J. R., Hünerbein, A., Heinold, B., Brindley, H. E., Deneke, H., Schepanski, K.

The sensitivity of the colour of dust in MSG-SEVIRI Desert Dust infrared composite imagery to surface and atmospheric conditions

Atmos. Chem. Phys., 19, 6893-6911

doi:10.5194/acp-19-6893-2019

Barthel, S., Tegen, I., Wolke, R.

Do new sea spray aerosol source functions improve the results of a regional aerosol model?

Atmos. Environ., 198, 265-278

doi:10.1016/j.atmosenv.2018.10.016

Bohrer, Jan Kai

Modeling and simulation of atmospheric cloud droplets

M.Sc., Albert-Ludwigs-University Freiburg im Breisgau, Faculty of Mathematics and Physics, xvi, 116 pp.

Bräuer, P., Mouchel-Vallon, C., Tilgner, A., Mutzel, A., Böge, O., Rodigast, M., Poulain, L., van Pinxteren, D., Wolke, R., Aumont, B., Herrmann, H.

Development of a protocol for the auto-generation of explicit aqueous-phase oxidation schemes of organic compounds

Atmos. Chem. Phys., 19, 9209-9239

doi:10.5194/acp-19-9209-2019

Feuerstein, S., Schepanski, K.

Identification of dust sources in a Saharan dust hot-spot and their implementation in a dust-emission model

Remote Sens., 11, 4-27

doi:10.3390/rs11010004

Formenti, P., D’Anna, B., Flamant, C., Mallet, M., Piketh, S. J., Schepanski, K., Waquet, F., Auriol, F., Brogniez, G., Burnet, F., Chaboureau, J.-P., Chauvigné, A., Chazette, P., Denjean, C., Desboeufs, K., Doussin, J.-F., Enguidi, N., Feuerstein, S., Gaetani, M., Giorio, C., Klopper, D., Mallet, M. D., Nabat, P., Monod, A., Solmon, F., Mamwoonde, A., Chikwililwa, C., Mushi, R., Welton, E. J., Holben, B.

The aerosols, radiation and clouds in southern Africa field campaign in Namibia: Overview, illustrative observations, and way forward

Bull. Amer. Meteor. Soc., 100, 1277–1298

doi:10.1175/BAMS-D-17-0278.1

Gatzsche, Kathrin

Investigation of gasSOA formation by parcel and 3-D modeling

Ph. D., University of Leipzig, Faculty of Physics and Earth Sciences, xix, 146 pp.

Heikenfeld, M., Marinescu, P. J., Christensen, M., Watson-Parris, D., Senf, F., van den Heever, S. C., Stier, P.

tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets

Geosci. Model Dev., 12, 4551-4570

doi:10.5194/gmd-12-4551-2019

Hoffmann, E. H., Tilgner, A., Wolke, R., Herrmann, H.

Enhanced chlorine and bromine atom activation by hydrolysis of halogen nitrates from marine aerosols at polluted coastal areas

Environ. Sci. Technol., 53, 771-778

doi:10.1021/acs.est.8b05165

Hoffmann, E. H., Tilgner, A., Vogelsberg, U., Wolke, R., Herrmann, H.

Near-explicit multiphase modeling of halogen chemistry in a mixed urban and maritime coastal area

ACS Earth Space Chem., 3, 2452-2471

doi:10.1021/acsearthspacechem.9b00184

Neubauer, D., Ferrachat, S., Siegenthaler-Le Drian, C., Stoll, J., Folini, D. S., Tegen, I., Wieners, K.-H., Mauritsen, T., Stemmler, I., Barthel, S., Bey, I., Daskalakis, N., Heinold, B., Kokkola, H., Partridge, D., Rast, S., Schmidt, H., Schutgens, N., Stanelle, T., Stier, P., Watson-Parris, D., Lohmann, U.

HAMMOZ-Consortium MPI-ESM1.2-HAM model output prepared for CMIP6 AerChemMIP ssp370-lowNTCF

Earth System Grid Federation

doi:10.22033/ESGF/CMIP6.5040

Neubauer, D., Ferrachat, S., Siegenthaler-Le Drian, C., Stoll, J., Folini, D. S., Tegen, I., Wieners, K.-H., Mauritsen, T., Stemmler, I., Barthel, S., Bey, I., Daskalakis, N., Heinold, B., Kokkola, H., Partridge, D., Rast, S., Schmidt, H., Schutgens, N., Stanelle, T., Stier, P., Watson-Parris, D., Lohmann, U.

HAMMOZ-Consortium MPI-ESM1.2-HAM model output prepared for CMIP6 CMIP piControl

Earth System Grid Federation

doi:10.22033/ESGF/CMIP6.5037

Neubauer, D., Ferrachat, S., Siegenthaler-Le Drian, C., Stier, P., Partridge, D. G., Tegen, I., Bey, I., Stanelle, T., Kokkola, H., Lohmann, U.

The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing, and climate sensitivity

Geosci. Model Dev., 12, 3609-3639

doi:10.5194/gmd-12-3609-2019

Schacht, J., Heinold, B., Tegen, I.

ECHAM-HAM simulations for evaluation and quantification of BC effects in the Arctic under different emission data sets [dataset]

Leibniz-Institut für Troposphärenforschung e.V., Leipzig; PANGAEA

doi:10.1594/PANGAEA.903547

Schacht, J., Heinold, B., Quaas, J., Backman, J., Cherian, R., Ehrlich, A., Herber, A., Huang, W. T. K., Kondo, Y., Massling, A., Sinha, P. R., Weinzierl, B., Zanatta, M., Tegen, I.

The importance of the representation of air pollution emissions for the modeled distribution and radiative effects of black carbon in the Arctic

Atmos. Chem. Phys., 19, 11159–11183

doi:10.5194/acp-19-11159-2019

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