Publications by ESM Partners
2021:
Logemann, K., Linardakis, L., Korn, P., Schrum: Global tide simulations with ICON-O: testing the model performance on highly irregular meshes. Ocean Dynamics https://doi.org/10.1007/s10236-020-01428-7
Van Hinsbergen, D.J.J., Steinberger, B., Guilmette, C., Maffione, M., G\"urer, D., Peters, K., Plunder, A.V., McPhee, P.J., Gaina, C., Advokaat, E.L., Vissers, R.L.M. & Spakman, W.A record of plume-induced plate rotation triggering subduction initiation. Nature Geoscience, doi:10.1038/s41561-021-00780-7
Torsvik, T.H., Svensen, H.H., Steinberger, B., Royer, D.L., Jerram, D.A., Jones, M.T. and Domeier, M.: Connecting the Deep Earth and the Atmosphere. In Mantle Convection and Surface Expressions (eds H. Marquardt, M. Ballmer, S. Cottaar and J. Konter). https://doi.org/10.1002/9781119528609.ch16
Mitchell, R.N., Zhang, N., Salminen, J., Liu, Y., Spencer, C.J., Steinberger, B., Murphy, J.B. & Li, Z.-X.: The supercontinent cycle. Nat Rev Earth Environ 2, 358–374. doi.org/10.1038/s43017-021-00160-0
Koppers, A.A.P., Becker, T.W., Jackson, M.G., Konrad, K., Müller, R.D., Romanowicz, B., Steinberger, B. & Whittaker, J.M. Mantle plumes and their role in Earth processes. Nat Rev Earth Environ 2, 382–401. doi.org/10.1038/s43017-021-00168-6
Rosanka, S., Franco, B., Clarisse, L., Coheur, P.-F., Pozzer, A., Wahner, A., and Taraborrelli, D. The impact of organic pollutants from Indonesian peatland fires on the tropospheric and lower stratospheric composition. Atmos. Chem. Phys., 21, 11257–11288, doi.org/10.5194/acp-21-11257-2021, 2021
Rosanka, S., Sander, R., Franco, B., Wespes, C., Wahner, A., and Taraborrelli, D. Oxidation of low-molecular weight organic compounds in cloud droplets: global impact on tropospheric oxidants. Atmos. Chem. Phys., 21, 9909–9930, https://doi.org/10.5194/acp-21-9909-2021
Rosanka, S., Sander, R., Wahner, A., and Taraborrelli, D. Oxidation of low-molecular-weight organic compounds in cloud droplets: development of the Jülich Aqueous-phase Mechanism of Organic Chemistry (JAMOC) in CAABA/MECCA (version 4.5.0) Geosci. Model Dev., 14, 4103–4115, https://doi.org/10.5194/gmd-14-4103-2021
Tanaka Y., Klemann V., Martinec Z. Surface Loading of a Self-Gravitating, Laterally Heterogeneous Elastic Sphere: Preliminary Result for the 2D Case International Association of Geodesy Symposia. Springer, Berlin, Heidelberg, doi:10.1007/1345_2019_62
Staneva J., S. Grayek, A. Behrens and H. Günther Skill assessments of coupling wave and circulation models (NEMO-WAM).Journal of Physics: doi:10.1088/1742-6596/1730/1/012071
Mai, J., Tolson, B.A., Shen, H., Gaborit, E., Fortin, V., Gasset, N., Awoye, H., Stadnyk, T.A., Fry, L.M., Bradley, E.A., Seglenieks, F., Temgoua, A.G.T., Princz, D.G., Gharari, S., Haghnegahdar, A., Elshamy, M.E., Razavi, S., Gauch, M., Lin, J., Ni, X., Yuan, Y., McLeod, M., Basu, N.B., Kumar, R., Rakovec, O., Samaniego, L., Attinger, S., Shrestha, N.K., Daggupati, P., Roy, T., Wi, S., Hunter, T., Craig, J.R., Pietroniro, A. Great Lakes Runoff Intercomparison Project phase 3: Lake Erie (GRIP-E). https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0002097
Lohmann, G., 2021: Mathematics and Climate Change. In: Handbook of the Mathematics of the Arts and Sciences. Sriraman B. (ed.), doi:10.1007/978-3-319-70658-0_145-1, 32pp., ISBNs 978-3-31-970658-0. Springer, Cham. (link) (pdf@homepage)
Lohmann, G., A. Wagner, M. Prange, 2021: Resolution of the atmospheric model matters for the Northern Hemisphere Mid-Holocene climate. Dynamics of Atmospheres and Oceans, doi:10.1016/j.dynatmoce.2021.101206
2020:
Eleftheratos, K., Kapsomenakis, J., Zerefos, C. S., Bais, A. F., Fountoulakis, I., Dameris, M., Jöckel, P., Haslerud, A. S., Godin- Beekmann, S., Steinbrecht, W., Petropavlovskikh, I., Brogniez, C., Leblanc, T., Liley, J. B., Querel, R., & Swart, D. P. J. (2020): Possible Effects of Greenhouse Gases to Ozone Profiles and DNA Active UV-B Irradiance at Ground Level. Atmosphere, 11, https://doi.org/10.3390/atmos11030228
Hagemann, S., Stacke, T., and Ho-Hagemann, H.T.M. (2020). High Resolution Discharge Simulations over Europe and the Baltic Sea Catchment. Front. Earth Sci., 8:12. https://doi.org/10.3389/feart.2020.00012
Keber, T., Bönisch, H., Hartick, C., Hauck, M., Lefrancois, F., Obersteiner, F., Ringsdorf, A., Schohl, N., Schuck, T., Hossaini, R., Graf, P., Jöckel, P., & Engel, A. (2020): Bromine from short-lived source gases in the extratropical northern hemispheric upper troposphere and lower stratosphere (UTLS). Atmospheric Chemistry and Physics, 20, 4105–4132, doi: 10.5194/acp-20- 4105-2020
Kuai, L., Bowman, K. W., Miyazaki, K., Deushi, M., Revell, L., Rozanov, E., Paulot, F., Strode, S., Conley, A., Lamarque, J.-F., Jöckel, P., Plummer, D. A., Oman, L. D., Worden, H., Kulawik, S., Paynter, D., Stenke, A., Kunze, M. (2020): Attribution of Chemistry-Climate Model Initiative (CCMI) ozone radiative flux bias from satellites. Atmospheric Chemistry and Physics, 20, 281–301, doi: 10.5194/acp-20-281-2020.
Lohmann, G.: Temperatures from energy balance models: the effective heat capacity matters, Earth Syst. Dynam., 11, 1195–1208, https://doi.org/10.5194/esd-11-1195-2020, 2020. (link) (pdf)
Mertens, M., Kerkweg, A., Grewe, V., Jöckel, P., Sausen, R. (2020): Are contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50). Geoscientific Model Development, 13, 363–383, doi: 10.5194/gmd-13-363-2020
Mu, L., Nerger, L., Tang, Q., Losa, S.N., Sidorenko, D., Wang, Q., Semmler, T., Zampieri, L., Losch, M. and Goessling, H.F. (2020). Towards a data assimilation system for seamless sea ice prediction based o the AWI climate model. Journal of Advances in Modelling Earth Systems, 12(4). https://doi.org/10.1029/2019MS001937
Nicely, J. M., Duncan, B. N., Hanisco, T. F., Wolfe, G. M., Salawitch, R. J., Deushi, M., Haslerud, A. S., Jöckel, P., Josse, B., Kinnison, D. E., Klekociuk, A., Manyin, M. E., Marécal, V., Morgenstern, O., Murray, L. T., Myhre, G., Oman, L. D., Pitari, G., Pozzer, A., Quaglia, I., Revell, L. E., Rozanov, E., Stenke, A., Stone, K., Strahan, S., Tilmes, S., Tost, H., Westervelt, D. M., Zeng, G. (2020): A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1. Atmospheric Chemistry and Physics, 20, 1341–1361, doi: 10.5194/acp-20-1341-2020.
Orbe, C., Plummer, D. A., Waugh, D. W., Yang, H., Jöckel, P., Kinnison, D. E., Josse, B., Marecal, V., Deushi, M., Abraham, N. L., Archibald, A. T., Chipperfield, M. P., Dhomse, S., Feng, W., Bekki, S. (2020): Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative. Atmospheric Chemistry and Physics, 20, 3809–3840, doi: 10.5194/acp-20-3809-2020.
Peña, C., O. Heidbach, M. Moreno, J. Bedford, M. O. Ziegler, A. Tassara, and O. Oncken (2020). Impact of power-law rheology on the viscoelastic relaxtion pattern and afterslip distribution following the 2010 Mw 8.8 Maule earthquake. Earth Planet. Sci. Lett., 542, doi:10.1016/j.epsl.2020.116292
Zimmermann, P. H., Brenninkmeijer, C. A. M., Pozzer, A., Jöckel, P., Winterstein, F., Zahn, A., Houweling, S., & Lelieveld, J. (2020): Model simulations of atmospheric methane (1997–2016) and their evaluation using NOAA and AGAGE surface and IAGOS-CARIBIC aircraft observations. Atmospheric Chemistry and Physics, 20, 5787–5809, doi: 10.5194/acp-20-5787-2020.
2019:
Akritidis, D., Pozzer, A., & Zanis, P. (2019): On the impact of future climate change on tropopause folds and tropospheric ozone, Atmospheric Chemistry and Physics, 19, 14 387–14 401, doi: 10.5194/acp-19-14387-2019, URL https://www.atmos-chem-phys.net/19/14387/2019/
Álvarez Fanjul, E., Pascual Collar, Á. de, Pérez Gómez, B., De Alfonso, M., García Sotillo, M., Staneva, J., Clementi, E., Grandi, A., Zacharioudaki, A., Korres, G., Ravdas, M., Renshaw, R., Tinker, J., Raudsepp, U., Lagemaa, P., Maljutenko, I., Geyer, G., Müller, M., & Çağlar Yumruktepe, V. (2019): Sea level, sea surface temperature and SWH extreme percentiles: combined analysis from model results and in situ observations. Journal of Operational Oceanography, doi:10.1080/1755876X.2019.1633075
Androsov, A., Nerger, L., Schnur, R., Schröter, J., Albertella, A., Rummel, R., Savcenko, R., Bosch, W., Skachko, S., Danilov, S. (2018) On the assimilation of absolute geodetic dynamic topography in a global ocean model: impact on the deep ocean state. Journal of Geodesy, doi:10.1007/s00190-018-1151-1
Bais, A. F., Bernhard, G., McKenzie, R. L., Aucamp, P. J., Young, P. J., Ilyas, M., Jöckel, P., & Deushi, M. (2019): Ozone-climate interactions and effects on solar ultraviolet radiation, Photochem. Photobiol. Sci., pp. –, doi: 10.1039/C8PP90059K, URL http://dx.doi.org/10.1039/C8PP90059K
Brinkop, S. and Jöckel, P. (2019): ATTILA 4.0: Lagrangian advective and convective transport of passive tracers within the ECHAM5/MESSy (2.53.0) chemistry–climate model, Geosci. Model Dev., 12, 1991-2008, https://doi.org/10.5194/gmd-12-1991-2019.
Campos, Á., García-Valdecasas, J. M., Molina, R., Castillo, C., Álvarez-Fanjul, E., & Staneva, J.(2019): Addressing Long-Term Operational Risk Management in Port Docks under Climate Change Scenarios – A Spanish Case Study. Water. – 2019. – Т. 11. – №. 10. – С. 2153,
https://doi.org/10.3390/w11102153
Chrysanthou, A., Maycock, A. C., Chipperfield, M. P., Dhomse, S., Garny, H., Kinnison, D., Akiyoshi, H., Deushi, M., Garcia, R. R., Jöckel, P., Kirner, O., Pitari, G., Plummer, D. A., Revell, L., Rozanov, E., Stenke, A., Tanaka, T. Y., Visioni, D., & Yamashita, Y. (2019): The effect of atmospheric nudging on the stratospheric residual circulation in chemistry–climate models, Atmospheric Chemistry and Physics, 19, 11 559–11 586, doi: 10.5194/acp-19-11559-2019, URL https://www.atmos-chem-phys.net/19/11559/2019/
Daewel, U., Schrum, C., and Macdonald, J. I. (2019): Towards end-to-end (E2E) modelling in a consistent NPZD-F modelling framework (ECOSMO E2E_v1.0): application to the North Sea and Baltic Sea, Geosci. Model Dev., 12, 1765–1789, https://doi.org/10.5194/gmd-12-1765-2019
Dale, A.W., Bourbonnais, A., Altabet, M., Wallmann, K., Sommer, S. (2019): Isotopic fingerprints of benthic nitrogen cycling in the Peruvian oxygen minimum zone, Geochimica et Cosmochimica Acta, Volume 245, Pages 406-425, doi.org/10.1016/j.gca.2018.10.025.
Davidson, F. J., Chassignet, E., Vinayachandran, P. N., Lu, Y., Smith, G. C., Zhu, X., ... & Hernandez, F. (2019): Synergies in Operational Oceanography: The Intrinsic Need for Sustained Ocean Observations. Frontiers in Marine Science. – 2019. – Т. 6. – №. JUL.
https://doi.org/10.3389/fmars.2019.00450
Eichinger, R., Dietmüller, S., Garny, H., Šácha, P., Birner, T., Bönisch, H., Pitari, G., Visioni, D., Stenke, A., Rozanov, E., Revell, L., Plummer, D. A., Jöckel, P., Oman, L., Deushi, M., Kinnison, D. E., Garcia, R., Morgenstern, O., Zeng, G., Stone, K. A., & Schofield, R. (2019): The influence of mixing on the stratospheric age of air changes in the 21st century, Atmospheric Chemistry and Physics, 19, 921–940, doi: 10.5194/acp-19-921-2019, URL https://www.atmos-chem-phys.net/19/921/2019/
Fujii, Y., Rémy, E., Zuo, H., Oke, P., Halliwell, G., Gasparin, F., Benkiran, M., Loose, N., Cummings, J., Xie, J., Xue, Y., Masuda, S., Smith, G.C., Balmaseda, M., Germineaud, C., Lea, D.J., Larnicol, G., Bertino, L., Bonaduce, A., Brasseur, P., Donlon, C., Heimbach, P., Kim, Y., Kourafalou, V., Le Traon, P.-Y., Martin, M., Paturi, S., Trancant, B., & Usui, N. (2019): Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks. Front. Mar. Sci., 6:417, doi:10.3389/fmars.2019.00417
Gillett, Z. E., Arblaster, J. M., Dittus, A. J., Deushi, M., Jöckel, P., Kinnison, D. E., Morgenstern, O., Plummer, D. A., Revell, L. E., Rozanov, E., Schofield, R., Stenke, A., Stone, K. A., & Tilmes, S. (2019): Evaluating the Relationship between Interannual Variations in the Antarctic Ozone Hole and Southern Hemisphere Surface Climate in Chemistry Climate Models, Journal of Climate, 32, 3131–3151, doi: 10.1175/JCLI-D-18-0273.1, URL https://doi.org/10.1175/JCLI-D-18-0273.1
Gommenginger, C., Chapron, B., et al. (2019): SEASTAR: A Mission to Study Ocean Submesoscale Dynamics and Small-Scale Atmosphere-Ocean Processes in Coastal, Shelf and Polar Seas. Frontiers in Marine Science. – 2019. – Т. 6. – №. 457. – С. 1. doi:10.3389/fmars.2019.00457
Harari, O., Garfinkel, C. I., Ziskin Ziv, S., Morgenstern, O., Zeng, G., Tilmes, S., Kinnison, D., Deushi, M., Jöckel, P., Pozzer, A., O’Connor, F. M., & Davis, S. (2019): Influence of Arctic stratospheric ozone on surface climate in CCMI models, Atmospheric Chemistry and Physics, 19, 9253–9268, doi: 10.5194/acp-19-9253-2019, URL https://www.atmos-chem-phys.net/19/9253/2019/
Höpfner, M., Ungermann, J., Borrmann, S. et al. (2019): Ammonium nitrate particles formed in upper troposphere from ground ammonia sources during Asian monsoons. Nat. Geosci. 12, 608–612. https://doi.org/10.1038/s41561-019-0385-8
Lamy, K., Portafaix, T., Josse, B., Brogniez, C., Godin-Beekmann, S., Bencherif, H., Revell, L., Akiyoshi, H., Bekki, S., Hegglin, M. I., Jöckel, P., Kirner, O., Liley, B., Marecal, V., Morgenstern, O., Stenke, A., Zeng, G., Abraham, N. L., Archibald, A. T., Butchart, N., Chipperfield, M. P., Di Genova, G., Deushi, M., Dhomse, S. S., Hu, R.-M., Kinnison, D., Kotkamp, M., McKenzie, R., Michou, M., O’Connor, F. M., Oman, L. D., Pitari, G., Plummer, D. A., Pyle, J. A., Rozanov, E., Saint-Martin, D., Sudo, K., Tanaka, T. Y., Visioni, D., & Yoshida, K (2019).: Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmospheric Chemistry and Physics, 19, 10 087–10 110, doi: 10.5194/acp-19-10087-2019, URL https://www.atmos-chem-phys.net/19/10087/2019/
Lemos, G., Semedo, A., Dobrynin, M., Behrens, A., Staneva, J., Bidlot, J.-R., & Miranda, P.M.A. (2019): Mid-twenty-first century global wave climate projections: Results from a dynamic CMIP5 based ensemble. Global and Planetary Change, Volume 172, Pages 69-87, doi:10.1016/j.gloplacha.2018.09.011
Lewis, H.W., Castillo Sanchez, J.M., Siddorn, J., King, R.R., Tonani, M., Saulter, A., Sykes, P., Pequignet, A.-C., Weedon, G.P., Palmer, T., Staneva, J., & Bricheno, L. (2019): Can wave coupling improve operational regional ocean forecasts for the north-west European Shelf? Ocean Sci., 15, 669-690, doi:10.5194/os-15-669-2019
Liu, J., Chan, Z., Hu, Y., Zhang, Y., Ding, Y., Cheng, Y., Cheng, X., Yang, Q., Nerger, L., Spreen, G., Horton, R., Inoue, R., Yang, C., Li, M., Song, M. (2019) Towards reliable Arctic sea ice prediction using multivariate data assimilation. Science Bulletin, 64, 63-72, doi:10.1016/j.scib.2018.11.018
Lomnitz, U., Hensen, C., Dale, A.W., Scholz, F., Clemens, D., Sommer, S., Noffke, A., Wallmann, K. (2019): Dissolved benthic phosphate, iron and carbon fluxes in the Mauritanian upwelling system and implications for ongoing deoxygenation. Deep Sea Research Part I: Oceanographic Research Papers, Volume 143, Pages 70-84, https://doi.org/10.1016/j.dsr.2018.11.008.
Mey-Frémaux, P. de, Ayoub, N., Barth, A., Brewin, R., Charria, G., Campuzano, F., Ciavatta, S., Cirano, M., Edwards, C.A., Federico, I., Gao, S., Hermosa, I.G., Sotillo, M.G., Hewitt, H., Hole, L.R., Holt, J., King, R., Kourafalou, V., Lu, Y., Mourre, B., Pascual, A., Staneva, J., Stanev, E.V., Wang, H., & Zhu, X. (2019): Model-Observations Synergy in the Coastal Ocean. Mar. Sci., 23 July 2019, doi:10.3389/fmars.2019.00436
Morim, J., Hemer, M., Wang, X.L., Cartwright, N., Trenham, C., Semedo, A., Young, I., Bricheno, L., Camus, P., Casas-Prat, M., Erikson, L., Mentaschi, L., Mori, N., Shimura, T., Timmermans, B., Aarnes, O., Breivik, Ø., Behrens, A., Dobrynin, M., Menendez, M., Staneva, J., Wehner, M., Wolf, J., Kamranzad, B., Webb, A., Stopa, J. & Andutta, F. (2019): Robustness and uncertainties in global multivariate wind-wave climate projections. Nature Climate Change, volume 9, pages 711–718, doi:10.1038/s41558-019-0542-5
Pein, J., Eisele, A., Hofmeister, R., Sanders, T., Daewel, U., Stanev, E. V., ... & Schrum, C. (2019): Nitrogen cycling in the Elbe estuary from a joint 3D-modelling and observational perspective. Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-265 201
Petropavlovskikh, I., Godin-Beekmann, S., Hubert, D., Damadeo, R., Hassler, B., & Sofieva, V.(2019): SPARC/IO3C/GAW Report on Long-term Ozone Trends and Uncertainties in the Stratosphere, Tech. rep., doi: 10.17874/f899e57a20b, URL https://elib.dlr.de/126666/, 9th assessment report of the SPARC project, published by the International Project Office at DLR-IPA. also: GAW Report No. 241; WCRP Report 17/2018
Polvani, L. M., Wang, L., Abalos, M., Butchart, N., Chipperfield, M. P., Dameris, M., Deushi, M., Dhomse, S. S., Jöckel, P., Kinnison, D., Michou, M., Morgenstern, O., Oman, L. D., Plummer, D. A., & Stone, K. A. (2019): Large Impacts, Past and Future, of Ozone-Depleting Substances on Brewer-Dobson Circulation Trends: A Multimodel Assessment, Journal of Geophysical Research: Atmospheres, 0, doi: 10.1029/2018JD029516, URL https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JD029516
Pradhan, H.K., Voelker, C., Losa, S.N., Bracher, A., Nerger, L. (2019) Assimilation of global total chlorophyll OC-CCI data and its impact on individual phytoplankton fields. J. Geophys. Res. Oceans, 124, 470-490, doi:10.1029/2018JC014329
Remedio, A. R., Teichmann, C., Buntemeyer, L., Sieck, K., Weber, T., Rechid, D., ... & Jacob, D. (2019): Evaluation of REMO CORDEX-CORE simulations. Atmosphere. – 2019. – Т. 10. – №. 11. – С. 726. DOI:10.3390/atmos10110726
Šácha, P., Eichinger, R., Garny, H., Pišoft, P., Dietmüller, S., de la Torre, L., Plummer, D. A., Jöckel, P., Morgenstern, O., Zeng, G., Butchart, N., & Añel, J. A.(2019): Extratropical age of air trends and causative factors in climate projection simulations, Atmospheric Chemistry and Physics, 19, 7627–7647, doi: 10.5194/acp-19-7627-2019, URL https://www.atmos-chem-phys.net/19/7627/2019/
Šachl, L., Martinec, Z., Velímský, J., Irrgang, C., Petereit, J., Saynisch, J., Einšpigel, D. Schnepf. N. R. (2019): Modelling of electromagnetic signatures of global ocean circulation: physical approximations and numerical issues. Earth, Planets and Space, 71:58, https://doi.org/10.1186/s40623-019-1033-7
Schroller-Lomnitz, U., Hensen, C., Dale, A. W., Scholz, F., Clemens, D., Sommer, S., ... & Wallmann, K. (2019): Dissolved benthic phosphate, iron and carbon fluxes in the Mauritanian upwelling system and implications for ongoing deoxygenation. Deep Sea Research Part I: Oceanographic Research Papers. – 2019. – Т. 143. – С. 70-84. https://doi.org/10.1016/j.dsr.2018.11.008
Schulz-Stellenfleth, J. and Staneva, J.(2019): A multi-collocation method for coastal zone observations with applications to Sentinel-3A altimeter wave height data, Ocean Sci., 15, 249–268, https://doi.org/10.5194/os-15-249-2019.
Staneva, J., Behrens, A., Gayer, G., & Aouf, L. (2019): Synergy between CMEMS products and newly available data from SENTINEL. In: Schuckmann, K., et al. (2019): Copernicus Marine Service Ocean State Report, Issue 3, Chapter 3.3, Journal of Operational Oceanography, doi:10.1080/1755876X.2019.1633075
Stopa, J.E., Semedo, A., Staneva, J., Dobrynin, M., Behrens, A., & Lemos, G. (2019): A sampling technique to compare climate simulations with sparse satellite observations: Performance evaluation of a CMIP5 EC-Earth forced dynamical wave climate ensemble with altimeter observations. Ocean Modelling, Volume 134, Pages 18-29, doi:10.1016/j.ocemod.2018.12.002
Vogel, B., Müller, R., Günther, G., Spang, R., Hanumanthu, S., Li, D., Riese, M., and Stiller, G. P. (2019): Lagrangian simulations of the transport of young air masses to the top of the Asian monsoon anticyclone and into the tropical pipe, Atmos. Chem. Phys., 19, 6007–6034, https://doi.org/10.5194/acp-19-6007-2019.
Wang, S., Q. Wang, Q. Shu, P. Scholz, G. Lohmann, F. Qiao, 2019: Improving the Upper-ocean Temperature in an Ocean Climate Model (FESOM 1.4): Shortwave Penetration vs. Mixing Induced by Non-breaking Surface Waves. Journal of Advances in Modeling Earth Systems, 11, DOI:10.1029/2018MS001494. (link)
Wiese, A., Stanev, E., Koch, W., Behrens, A., Geyer, B., & Staneva, J. (2019): The Impact of the Two-Way Coupling between Wind Wave and Atmospheric Models. Atmosphere 2019, 10, 386, doi:10.3390/atmos10070386
Williams, R. S., Hegglin, M. I., Kerridge, B. J., Jöckel, P., Latter, B. G., & Plummer, D. A.(2019): Characterising the seasonal and geographical variability in tropospheric ozone, stratospheric influence and recent changes, Atmospheric Chemistry and Physics, 19, 3589–3620, doi: 10.5194/acp-19-3589-2019, URL https://www.atmos-chem-phys.net/19/3589/2019/
Winterstein, F., F. Tanalski, P. Jöckel, M. Dameris, and M. Ponater (2019), Implication of strongly increased atmospheric methane concentrations for chemistry-climate connections, Atmos. Chem. Phys., 19, 7151-7163, https://doi.org/10.5194/acp-19-7151-2019
Wu, L., Staneva, J., Breivik, Ø., Rutgersson, A., Nurser, A.J.G., Clementi, E., & Madec, G. (2019): Wave effects on coastal upwelling and water level. Ocean Modelling, Volume 140, doi:10.1016/j.ocemod.2019.101405
Yang, H., Waugh, D. W., Orbe, C., Patra, P. K., Jöckel, P., Lamarque, J.-F., Tilmes, S., Kinnison, D., Elkins, J. W., & Dlugokencky, E. J.(2019a): Evaluating Simulations of Interhemispheric Transport: Interhemispheric Exchange Time versus SF6 Age, Geophysical Research Letters, 46, doi: 10.1029/2018GL080960, URL https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018GL080960
Yang, H., Waugh, D. W., Orbe, C., Zeng, G., Morgenstern, O., Kinnison, D. E., Lamarque, J.-F., Tilmes, S., Plummer, D. A., Jöckel, P., Strahan, S. E., Stone, K. A., & Schofield, R.(2019b): Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmospheric Chemistry and Physics, 19, 5511–5528, doi: 10.5194/acp-19-5511-2019, URL https://www.atmos-chem-phys.net/19/5511/2019/
Zhang, Wenyan, Kai Wirtz, Ute Daewel, Alexa Wrede, Andreas Neumann, Ingrid Kröncke, Julia Meyer, Mengyao Ma and Corinna Schrum (2019): The budget of macrobenthic reworked organic carbon - a modelling case study of the North Sea. Journal of Geophysical Research: Biogeosciences. – 2019. – Т. 124. – №. 6. – С. 1446-1471. https://doi.org/10.1029/2019JG005109
Zhao, Y., Saunois, M., Bousquet, P., Lin, X., Berchet, A., Hegglin, M. I., Canadell, J. G., Jackson, R. B., Hauglustaine, D. A., Szopa, S., Stavert, A. R., Abraham, N. L., Archibald, A. T., Bekki, S., Deushi, M., Jöckel, P., Josse, B., Kinnison, D., Kirner, O., Marécal, V., O’Connor, F. M., Plummer, D. A., Revell, L. E., Rozanov, E., Stenke, A., Strode, S., Tilmes, S., Dlugokencky, E. J., & Zheng, B. (2019): Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period, Atmospheric Chemistry and Physics, 19, 13 701–13 723, doi: 10.5194/acp-19-13701-2019, URL https://www.atmos-chem-phys.net/19/13701/2019/
Zhao, Changjin, Ute Daewel, Corinna Schrum (2019): Tidal impacts to primary production in the North Sea. Earth Syst. Dynam., 10, 287-317, 2019, https://doi.org/10.5194/esd-10-287-2019
2018:
Antonov, A., G. Lohmann, M. Ionita, M. Dima, and L. Linsen, 2018: Interactive Visual Exploration of Teleconnections in Atmospheric Datasets. Workshop on Visualisation in Environmental Sciences (EnvirVis), eds: K. Rink, D. Zeckzer, R. Bujack and S. Jänicke. The Eurographics Association, ISBN 978-3-03868-063-5, DOI:10.2312/envirvis.20181131 (link)
Ayarzagüena, B., Polvani, L. M., Langematz, U., Akiyoshi, H., Bekki, S., Butchart, N., Dameris, M., Deushi, M., Hardiman, S. C., Jöckel, P., Klekociuk, A., Marchand, M., Michou, M., Morgenstern, O., O’Connor, F. M., Oman, L. D., Plummer, D. A., Revell, L., Rozanov, E., Saint-Martin, D., Scinocca, J., Stenke, A., Stone, K., Yamashita, Y., Yoshida, K., & Zeng, G. (2018): No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI. Atmospheric Chemistry and Physics, 18, 11 277–11 287, doi: 10.5194/acp-18-11277-2018
Bieser J., Schrum C. (2018): Evaluation of the Impact of Air-Sea Exchange on Atmospheric Mercury Concentrations. In: Mensink C., Kallos G. (eds) Air Pollution Modeling and its Application XXV. ITM 2016. Springer Proceedings in Complexity. Springer, Cham, doi:10.1007/978-3-319-57645-9_69
Bonaduce, A., Benkiran, M., Remy, E., Le Traon, P. Y., and Garric, G. (2018): Contribution of future wide-swath altimetry missions to ocean analysis and forecasting. Ocean Sci., 14, 1405-1421. doi.org/10.5194/os-14-1405-2018
Chaudhuri, A., H.J. Hendricks Franssen, and M. Sekhar (2018), Iterative filter based estimation of fully 3D heterogeneous fields of permeability and Mualem-van Genuchten parameters. Advances in Water Resources, 122, 340-354, doi.org/10.1016/j.advwatres.2018.10.023
Chen, W., & Swart, H.E. de (2018): Estuarine residual flow induced by eddy viscosity-shear covariance: Dependence on axial bottom slope, tidal intensity and constituents. Continental Shelf Research, Volume 167, 1 September 2018, Pages 1-13. doi:10.1016/j.csr.2018.07.011
Chen, W., & Swart, H.E. de (2018): Longitudinal variation in lateral trapping of fine sediment in tidal estuaries: observations and a 3D exploratory model. Ocean Dynamics, pp 1–18. doi:10.1007/s10236-018-1134-z
Colleoni, F., L. De Santis, C. S. Siddoway, A. Bergamasco, N. Golledge, G. Lohmann, S. Passchier, and M. Siegert, 2018: Spatio-temporal variability of processes across Antarctic ice-bed-ocean interfaces. Nature comm. 9: 2289, DOI: 10.1038/s41467-018-04583-0 (link)
Coppola, E., Sobolowski, S., Pichelli, E. et al. A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean. Clim Dyn (2018). https://doi.org/10.1007/s00382-018-4521-8
Dhomse, S. S., Kinnison, D., Chipperfield, M. P., Salawitch, R. J., Cionni, I., Hegglin, M. I., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Bednarz, E. M., Bekki, S., Braesicke, P., Butchart, N., Dameris, M., Deushi, M., Frith, S., Hardiman, S. C., Hassler, B., Horowitz, L. W., Hu, R.-M., Jöckel, P., Josse, B., Kirner, O., Kremser, S., Langematz, U., Lewis, J., Marchand, M., Lin, M., Mancini, E., Marécal, V., Michou, M., Morgenstern, O., O’Connor, F. M., Oman, L., Pitari, G., Plummer, D. A., Pyle, J. A., Revell, L. E., Rozanov, E., Schofield, R., Stenke, A., Stone, K., Sudo, K., Tilmes, S., Visioni, D., Yamashita, Y., & Zeng, G. (2018): Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations. Atmospheric Chemistry and Physics, 18, 8409–8438, doi: 10.5194/acp-18-8409-2018
Dietmüller, S., Eichinger, R., Garny, H., Birner, T., Boenisch, H., Pitari, G., Mancini, E., Visioni, D., Stenke, A., Revell, L., Rozanov, E., Plummer, D. A., Scinocca, J., Jöckel, P., Oman, L., Deushi, M., Kiyotaka, S., Kinnison, D. E., Garcia, R., Morgenstern, O., Zeng, G., Stone, K. A., & Schofield, R. (2018): Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models.
Atmospheric Chemistry and Physics, 18, 6699–6720, doi: 10.5194/acp-18-6699-2018
Dill, R., Klemann, V., and Dobslaw, H. (2018): Relocation of river storage from global hydrological models to georeferenced river channels for improved load-induced surface displacements. Journal of Geophysical Research: Solid Earth, 123, 7151–7164. https://doi.org/10.1029/2018JB016141
Dima, M., G. Lohmann, G. Knorr, 2018: North Atlantic versus Global Control on Dansgaard-Oeschger Events. Geophysical Research Letters 45 (23), 12991-12998. DOI:10.1029/2018GL080035 link
Engel, A., Bönisch, H., Ostermöller, J., Chipperfield, M. P., Dhomse, S., & Jöckel, P. (2018): A refined method for calculating equivalent effective stratospheric chlorine.
Atmospheric Chemistry and Physics, 18, 601–619, doi: 10.5194/acp-18-601-2018
Gottschaldt, K.-D., Schlager, H., Baumann, R., Cai, D. S., Eyring, V., Graf, P., Grewe, V., Jöckel, P., Jurkat-Witschas, T., Voigt, C., Zahn, A., and Ziereis, H. (2018): Dynamics and composition of the Asian summer monsoon anticyclone. Atmospheric Chemistry and Physics, 18, 5655–5675, doi: 10.5194/acp-18-5655-2018
Heymans, J. J., Skogen, M., Schrum, C., & Solidoro, C.(2018): Enhancing Europe’s capability in marine ecosystem modelling for societal benefit. Future science brief. – 2018. – Т. 4.
Irrgang, C., Saynisch, J., Thomas, M. (2018): Depth of origin of ocean-circulation-induced magnetic signals. - Annales Geophysicae, 36, 1, pp. 167 180. DOI: http://doi.org/10.5194/angeo-36-167-2018
Keller, J., H.J. Hendricks Franssen, and G. Marquart (2018), Comparing seven variants of the Ensemble Kalman Filter: how many synthetic experiments are needed?, Water Resources Research, Volume 54, Issue 9, doi.org/10.1029/2018WR023374
Kollet, S., F. Gasper, S. Brdar, K. Goergen, H.J. Hendricks Franssen, J. Keune, W. Kurtz, V. Küll, F. Pappenberger, S. Poll, S. Trömel, P. Shrestha, C. Simmer, and M. Sulis (2018), Introduction of an experimental terrestrial forecasting/monitoring system at regional to continental scales based on the Terrestrial Systems Monitoring Platform (v.1.1.0). Water 10(11), 1697, doi.org/10.3390/w10111697
Krebs-Kanzow, U., Gierz, P., and Lohmann, G., 2018: Brief communication: An ice surface melt scheme including the diurnal cycle of solar radiation, The Cryosphere, 12, 3923-3930. doi:10.5194/tc-12-3923-2018 link
Lemos, G., Semedo, A., Dobrynin, M., Behrens, A., Staneva, J., Bidlot, J.-R., & Miranda, P.M.A. (2018): Mid-twenty-first century global wave climate projections: Results from a dynamic CMIP5 based ensemble. Global and Planetary Change. doi:10.1016/j.gloplacha.2018.09.011
Li, D., H.J. Hendricks Franssen, X. Han, M.A. Jimenez-Bello, F. Martinez-Alzamora and H. Vereecken (2018), Evaluation of an operational real-time irrigation scheduling scheme for drip irrigated citrus fields in Picassent, Spain. Agricultural Water management 208, 45-477, doi.org/10.1016/j.agwat.2018.06.022
Liu, T.; Klotzsche, A.; Pondkule, M.; Vereecken, H.; Su, Y. & van der Kruk, J. (2018), Radius estimation of subsurface cylindrical objects from ground-penetrating-radar data using full-waveform inversion, Geophysics, Society of Exploration Geophysicists, 83, H43-H54, doi.org/10.1190/geo2017-0815.1
Lohmann, G., 2018: ESD Ideas: The stochastic climate model shows that underestimated Holocene trends and variability represent two sides of the same coin. Earth Syst. Dynam. 9, 1279-1281. doi:10.5194/esd-9-1279-2018 link (pdf)
Maier, E., X. Zhang, A. Abelmann, R. Gersonde, S. Mulitza, M. Werner, M. Méheust, J. Ren, B. Chapligin, H. Meyer, R. Stein, R. Tiedemann, G. Lohmann, 2018: North Pacific freshwater events linked to glacial ocean circulation changes. Nature 559, 241–245. Doi:10.1038/s41586-018-0276-y (news and views) (link)
Martinec Z, Klemann V, van der Wal W, Riva REM, Spada G, Sun Y, Melini D, Kachuck SB, Barletta V, Simon K, A G, James TS (2018). A benchmark study of numerical implementations of the sea level equation in GIA modelling, Geophys. J. Int., 2015:389-414, doi:10.1093/gji/ggy280
Maycock, A. C., Matthes, K., Tegtmeier, S., Schmidt, H., Thiéblemont, R., Hood, L., Akiyoshi, H., Bekki, S., Deushi, M., Jöckel, P., Kirner, O., Kunze, M., Marchand, M., Marsh, D. R., Michou, M., Plummer, D., Revell, L. E., Rozanov, E., Stenke, A., Yamashita, Y., & Yoshida, K. (2018): The representation of solar cycle signals in stratospheric ozone–Part 1: A comparison of recently updated satellite observations. Atmospheric Chemistry and Physics, 18, 11 323–11 343, doi: 10.5194/acp-18-11323-2018
Maycock, A. C., Randel, W. J., Steiner, A. K., Karpechko, A. Y., Christy, J., Saunders, R., Thompson, D. W. J., Zou, C.-Z., Chrysanthou, A., Luke Abraham, N., Akiyoshi, H., Archibald, A. T., Butchart, N., Chipperfield, M., Dameris, M., Deushi, M., Dhomse, S., Di Genova, G., Jöckel, P., Kinnison, D. E., Kirner, O., Ladstädter, F., Michou, M., Morgenstern, O., O’Connor, F., Oman, L., Pitari, G., Plummer, D. A., Revell, L. E., Rozanov, E., Stenke, A., Visioni, D., Yamashita, Y., & Zeng, G. (2018): Revisiting the Mystery of Recent Stratospheric Temperature Trends. Geophysical Research Letters, 0, doi: 10.1029/2018GL078035
Meul, S., Langematz, U., Kröger, P., Oberländer-Hayn, S., & Jöckel, P. (2018): Future changes in the stratosphere-to-troposphere ozone mass flux and the contribution from climate change and ozone recovery. Atmospheric Chemistry and Physics, 18, 7721–7738, doi: 10.5194/acp-18-7721-2018
Mu, L., Losch, M., Yang, Q., Ricker, R., Losa, S., Nerger, L., and Zhang, J. (2018) Arctic-wide sea-ice thickness estimates from combining satellite remote sensing data and a dynamic ice-ocean model with data assimilation during the CryoSat-2 period. J. Geophys. Res. Oceans, 123, 7764-7780, doi:10.1029/2018JC014316
Mu, L., Yang, Q., Losch, M., Losa, S.N., Ricker, R., Nerger, L., Liang, X. (2018) Improving sea ice thickness estimates by assimilating CryoSat-2 and SMOS sea ice thickness data simultaneously. Quarterly Journal of the Royal Meteorological Society. 144, 529-538, doi:10.1002/qj.3225
Petereit, J., Saynisch, J., Irrgang, C., Weber, T., Thomas, M. (2018): Electromagnetic characteristics of ENSO. - Ocean Science, 14, pp. 515-524. DOI: http://doi.org/10.5194/os-14-515-2018
Pietikäinen, J.-P., Markkanen, T., Sieck, K., Jacob, D., Korhonen, J., Räisänen, P., Gao, Y., Ahola, J., Korhonen, H., Laaksonen, A., and Kaurola, J. (2018): The regional climate model REMO (v2015) coupled with the 1-D freshwater lake model FLake (v1): Fenno-Scandinavian climate and lakes. Geosci. Model Dev., 11, 1321–1342, https://doi.org/10.5194/gmd-11-1321-2018
Post, H., H.J. Hendricks Franssen, X. Han, R. Baatz, C. Montzka, M. Schmidt, and H. Vereecken (2018), Evaluation and uncertainty analysis of regional scale CLM4.5 net carbon flux estimates. Biogeosciences, 15, 187-208, doi.org/10.5194/bg-15-187-2018
Revell, L. E., Stenke, A., Tummon, F., Feinberg, A., Rozanov, E., Peter, T., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Butchart, N., Deushi, M., Jöckel, P., Kinnison, D., Michou, M., Morgenstern, O., O’Connor, F. M., Oman, L. D., Pitari, G., Plummer, D. A., Schofield, R., Stone, K., Tilmes, S., Visioni, D., Yamashita, Y., & Zeng, G. (2018): Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model. Atmospheric Chemistry and Physics, 18, 16 155–16 172, doi: 10.5194/acp-18-16155-2018
Saynisch, J., Irrgang, C., Thomas, M. (2018): Estimating ocean tide model uncertainties for electromagnetic inversion studies. - Annales Geophysicae, 36, pp. 1009-1014. DOI: http://doi.org/10.5194/angeo-36-1009-2018
Saynisch, J., Irrgang, C., Thomas, M. (2018): On the Use of Satellite Altimetry to Detect Ocean Circulation's Magnetic Signals. - Journal of Geophysical Research, 123, 3, pp. 2305 2314. DOI: http://doi.org/10.1002/2017JC013742
Schröter, J., Rieger, D., Stassen, C., Vogel, H., Weimer, M., Werchner, S., Förstner, J., Prill, F., Reinert, D., Zängl, G., Giorgetta, M., Ruhnke, R., Vogel, B., and Braesicke, P. (2018): ICON-ART 2.1: a flexible tracerframework and its application for composition studies in numerical weather forecasting and climate simulations. Geoscientific Model Development. – 2018. – Т. 11. – №. 10. https://doi.org/10.5194/gmd-11-4043-2018.
Semedo, A., Dobrynin, M., Lemos, G., Behrens, A., Staneva, J., Vries, H. de, Sterl, A., Bidlot, J.-R., Miranda, P.M.A., & Murawski, J. (2018): CMIP5-Derived Single-Forcing, Single-Model, and Single-Scenario Wind-Wave Climate Ensemble: Configuration and Performance Evaluation. J. Mar. Sci. Eng. 2018, 6(3), 90, doi:10.3390/jmse6030090
Sharples, W., Zhukov, I., Geimer, M., Goergen, K., Luehrs, S., Breuer, T., Naz, B., Kulkarni, K., Brdar, S., and Kollet, S (2018), A run control framework to streamline profiling, porting, and tuning simulation runs and provenance tracking of geoscientific applications, Geosci. Model Dev., 11, 2875-2895, doi.org/10.5194/gmd-11-2875-2018
Shrestha, P., W. Kurtz, G. Vogel, J.P. Schulz, M. Sulis, H.J. Hendricks Franssen, S. Kollet, and C. Simmer (2018), Connection between root zone soil moisture and surface energy flux partitioning using modelling, observations, and data assimilation for a temperate grassland site in Germany. Journal of Geophysical Research-Biogeosciences 123, doi.org/10.1029/2016JG003753
Son, S.-W., Han, B.-R., Garfinkel, C., Kim, S.-Y., Park, R., Abraham, N. L., Akiyoshi, H., Archibald, A., Butchart, N., Chipperfield, M., Dameris, M., Deushi, M., Dhomse, S. S., Hardiman, S., Jöckel, P., Kinnison, D., Michou, M., Morgenstern, O., O’Connor, F. M., Oman, L. D., Plummer, D. A., Pozzer, A., Revell, L. E., Rozanov, E., Stenke, A., Stone, K., Tilmes, S., Yamashita, Y., & Zeng, G. (2018): Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models. Environmental Research Letters, https://doi.org/10.1088/1748-9326/aabf21
Stanev, E.V., Pein, J., Grashorn, S., Zhang, Y., Schrum, C. (2018). Dynamics of the Baltic Sea Straits via Numerical Simulation of Exchange Flows. Ocean Modelling, 131, 40-58.
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Staneva J., A. Behrens, M. Ricker, O. Krüger, A. Wiesse, R. Carrasco, Ø. Breivik and C. Schrum (2018): Particle transport model sensitivity on wave-induced processes in the forecasting, coupled model system, Operational Oceanography serving Sustainable Marine Development. Proceedings of the Eight E. Buch, V. Fernández, D. Eparkhina, P. Gorringe and G. Nolan (Eds.), EuroGOOS. D / 2018 / 14.040 / 1, ISBN 978-2-9601883-3-2. 516 pp
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Stolpovsky, K., Dale, A. W., Wallmann, K. (2018): A new look at the multi-G model for organic carbon degradation in surface marine sediments for coupled benthic–pelagic simulations of the global ocean. Biogeosciences, 15, 3391-3407, doi.org/10.5194/bg-15-3391-2018
Tang, Q., O.S. Schilling, W. Kurtz, P. Brunner, H. Vereecken, and H.J. Hendricks Franssen (2018), Simulating flood induced riverbed transience using unmanned aerial vehicles, physically-based hydrological modelling and the ensemble Kalman filter. Water Resources Research, 54(11), 9342-9363, doi.org/10.1029/2018WR023067
Vetra-Carvalho, S., van Leeuwen, P. J., Nerger, L., Barth, A., Altaf, M. U., Brasseur, P., Kirchgessner, P., Beckers, J.-M. (2018) State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems. Tellus A, 70:1, 1445364, doi:10.1080/16000870.2018.1445364
Werner, M., J. Jouzel, V. Masson-Delmotte, G. Lohmann, 2018: Reconciling glacial-interglacial changes of Antarctic water stable isotopes, ice sheet topography, and the isotopic paleothermometer. Nature comm. 9, 3537. DOI:10.1038/s41467-018-05430-y (link)
Wiese, A., Staneva, J., Schulz-Stellenfleth, J., Behrens, A., Fenoglio-Marc, L., & Bidlot, J.-R. (2018): Synergy of wind wave model simulations and satellite observations during extreme events. Ocean Science. – 2018. – Т. 14. – №. 6. – С. 1503-1521. DOI:10.5194/os-14-1503-2018
Yan, Y., Pozzer, A., Ojha, N., Lin, J., & Lelieveld, J. (2018): Analysis of European ozone trends in the period 1995–2014. Atmospheric Chemistry and Physics, 18, 5589–5605, doi: 10.5194/acp-18-5589-2018
Zhang, H., W. Kurtz, S. Kollet, H. Vereecken and H.J. Hendricks Franssen (2018), Comparison of different assimilation methodologies of groundwater levels to improve predictions of root zone soil moisture with an integrated terrestrial systems model. Advances in Water Resources, 111, 224-238, doi.org/10.1016/j.advwatres.2017.11.003
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2017:
Anderson, D. C., Nicely, J. M., Wolfe, G. M., Hanisco, T. F., Salawitch, R. J., Canty, T. P., Dickerson, R. R., Apel, E. C., Baidar, S., Bannan, T. J., Blake, N. J., Chen, D., Dix, B., Fernandez, R. P., Hall, S. R., Hornbrook, R. S., Gregory Huey, L., Josse, B., Jöckel, P., Kinnison, D. E., Koenig, T. K., Le Breton, M., Marécal, V., Morgenstern, O., Oman, L. D., Pan, L. L., Percival, C., Plummer, D., Revell, L. E., Rozanov, E., Saiz-Lopez, A., Stenke, A., Sudo, K., Tilmes, S., Ullmann, K., Volkamer, R., Weinheimer, A. J., & Zeng, G. (2017): Formaldehyde in the Tropical Western Pacific: Chemical Sources and Sinks, Convective Transport, and Representation in CAM-Chem and the CCMI Models. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2016JD026121.
Dietmüller, S., Garny, H., Plöger, F., Jöckel, P., & Cai, D. (2017): Effects of mixing on resolved and unresolved scales on stratospheric age of air. Atmospheric Chemistry and Physics, 17, 7703–7719, doi: 10.5194/acp-17-7703-2017
Eckstein, J., Ruhnke, R., Zahn, A., Neumaier, M., Kirner, O., & Braesicke, P. (2017): An assessment of the climatological representativeness of IAGOS-CARIBIC trace gas measurements using EMAC model simulations. Atmos. Chem. Phys., 17, 2775–2794, https://doi.org/10.5194/acp-17-2775-2017
Falk, S., Sinnhuber, B.-M., Krysztofiak, G., Jöckel, P., Graf, P., & Lennartz, S. T. (2017): Brominated VSLS and their influence on ozone under a changing climate. Atmospheric Chemistry and Physics, 17, 11 313–11 329, doi: 10.5194/acp-17-11313-2017
Gottschaldt, K.-D., Schlager, H., Baumann, R., Bozem, H., Eyring, V., Hoor, P., Jöckel, P., Jurkat, T., Voigt, C., Zahn, A., & Ziereis, H. (2017): Trace gas composition in the Asian summer monsoon anticyclone: a case study based on aircraft observations and model simulations. Atmospheric Chemistry and Physics, 17, 6091–6111, doi: 10.5194/acp-17-6091-2017
Hüneke, T., Aderhold, O.-A., Bounin, J., Dorf, M., Gentry, E., Grossmann, K., Grooß, J.-U., Hoor, P., Jöckel, P., Kenntner, M., Knapp, M., Knecht, M., Lörks, D., Ludmann, S., Matthes, S., Raecke, R., Reichert, M., Weimar, J., Werner, B., Zahn, A., Ziereis, H., & Pfeilsticker, K. (2017): The novel HALO mini-DOAS instrument: inferring trace gas concentrations from airborne UV/visible limb spectroscopy under all skies using the scaling method. Atmospheric Measurement Techniques, 10, 4209–4234, doi: 10.5194/amt-10-4209-2017
Irrgang, C., Saynisch, J., Thomas, M. (2017): Utilizing oceanic electromagnetic induction to constrain an ocean general circulation model: A data assimilation twin experiment. - Journal of Advances in Modeling Earth Systems, 9, 3, pp. 1703-1720. DOI: http://doi.org/10.1002/2017MS000951
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