Publications of the ESM Project

2020:

Haid, V., Stanev, E.V., Pein, J., Staneva, J., Chen, W. (2020): Secondary circulation in shallow ocean straits: Observations and numerical modeling of the Danish Straits. Ocean Modelling, https://doi.org/10.1016/j.ocemod.2020.101585

Ho-Hagemann, H. T. M., Hagemann, S., Grayek, S., Petrik, R., Rockel, B., Staneva, J., Feser, F., Schrum, C. (2020): Internal variability in the regional coupled system model GCOAST-AHOI, Atmosphere 2020, 11, 227; doi:10.3390/atmos11030227; pdf: https://www.mdpi.com/2073-4433/11/3/227/pdf

Irrgang, C., Saynisch‐Wagner, J., & Thomas, M. (2020). Machine learning‐based prediction of spatio‐temporal uncertainties in global wind velocity reanalyses. Journal of Advances in Modeling Earth Systems, 12, e2019MS001876. https://doi.org/10.1029/2019MS001876

Irrgang, C., Saynisch‐Wagner, J., Dill, R., Boergens, E., Thomas, M. (2020). Self‐validating deep learning for recovering terrestrial water storage from gravity and altimetry measurements. Geophysical Research Letters, doi: 10.1029/2020GL089258

Jacquey, A. B., Cacace, M. (2020): Multiphysics Modeling of a Brittle‐Ductile Lithosphere Part I ‐Explicit Visco‐Elasto‐Plastic Formulation and its Numerical Implementation. Journal of Geophysical Research: Solid Earth, 125, 1, e2019JB018474. https://doi.org/10.1029/2019JB018474https://gfzpublic.gfz-potsdam.de/cone/persons/resource/ajacquey

Jacquey, A. B., Cacace, M. (2020): Multiphysics Modeling of a Brittle‐Ductile Lithosphere Part II ‐Semi‐Brittle, Semi‐Ductile Deformation and Damage Rheology. Journal of Geophysical Research: Solid Earth, 125, 1, e2019JB018475. https://doi.org/10.1029/2019JB018475

Kjellsson, J., Streffing, J., Carver, G., Köhler, M. (2020): From weather forecasting to climate modelling using OpenIFS. ECMWF Newsletter, 164, 38-41. doi: 10.21957/469hc10jk5

Klausner, T., Mertens, M., Huntrieser, H., Galkowski, M., Kuhlmann, G., Baumann, R., Fiehn, A., Jöckel, P., Pühl, M., & Roiger, A. (2020): Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018, Elem. Sci. Anth., 8(1), p.15, doi: 10.1525/elementa.411

Mertens, M., Kerkweg, A., Grewe, V., Jöckel, P., and Sausen, R. (2020): Attributing ozone and its precursors to land transport emissions in Europe and Germany, Atmos. Chem. Phys., 20, 7843–7873, https://doi.org/10.5194/acp-20-7843-2020.

Naliboff, J. B., A. Glerum, S. Brune, G. Péron‐Pinvidic, T. Wrona (2020): Development of 3‐D Rift Heterogeneity Through Fault Network Evolution. Geophysical Research letters, 47(13), https://doi.org/10.1029/2019GL086611

Nerger, L., Tang, Q., Mu, L. (2020). Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: Example of AWI-CM. Geoscientific Model Development, 13, 4305–4321, ​doi:10.5194/gmd-13-4305-2020

Nickl, A.-L., Mertens, M., Roiger, A., Fix, A., Amediek, A., Fiehn, A., Gerbig, C., Galkowski, M., Kerkweg, A., Klausner, T., Eckl, M., & Jöckel, P. (2020): Hindcasting and forecasting of regional methane from coal mine emissions in the Upper Silesian Coal Basin using the online nested global regional chemistry–climate model MECO(n) (MESSy v2.53), Geoscientific Model Development, 13, 1925–1943, doi: 10.5194/gmd-13-1925-2020, URL https://www.geosci-model-dev.net/13/1925/2020/

Palmer, M.D., J. M. Gregory, M. Bagge, D. Calvert, J. M. Hagedoorn, T. Howard, V. Klemann J. A. Lowe, C. D. Roberts, A. B. A. Slangen, G. Spada (2020): Exploring the Drivers of Global and Local Sea‐Level Change over the 21st Century and Beyond. Earth's Future, https://doi.org/10.1029/2019EF001413.

Righi, M., Hendricks, J., Lohmann, U., Beer, C. G., Hahn, V., Heinold, B., Heller, R., Krämer, M., Ponater, M., Rolf, C., Tegen, I., and Voigt, C. (2020): Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model, Geosci. Model Dev., 13, 1635–1661, https://doi.org/10.5194/gmd-13-1635-2020.

Rosanka, S., Vu, G. H. T., Nguyen, H. M. T., Pham, T. V., Javed, U., Taraborrelli, D., and Vereecken, L. (2020): Atmospheric chemical loss processes of isocyanic acid (HNCO): a combined theoretical kinetic and global modelling study, Atmos. Chem. Phys., 20, 6671–6686, https://doi.org/10.5194/acp-20-6671-2020.

Saynisch‐Wagner, J., Petereit, J., Irrgang, C., & Thomas, M. (2020). Phase changes of electromagnetic oceanic tidal signals. Journal of Geophysical Research: Oceans, 125, e2019JC015960. https://doi.org/10.1029/2019JC015960

Stanev, E.V., Ricker, M. (2020). Interactions between barotropic tides and mesoscale processes in deep ocean and shelf regions. Ocean dynamics https://doi.org/10.1007/s10236-020-01348-6

Tang, Q., Mu, L., Sidorenko, D., Goessling, H., Semmler, T. and Nerger, L. (2020), Improving the ocean and atmosphere in a coupled oceanatmosphere model by assimilating satellite sea surface temperature and subsurface profile data. Q J R Meteorol Soc. doi:10.1002/qj.3885

Wrona, T., H. Fossen, I. Lecomte, C.H. Eide, R.L. Gawthorpe (2020): Seismic expression of shear zones: Insights from 2-D point-spread-function-based convolution modelling. Journal of Structural Geology, https://doi.org/10.1016/j.jsg.2020.104121.

Ziebarth, M.J., von Sprecht, S., Heidbach, O., Cotton, F., Anderson, J.G. (2020): Applying Conservation of Energy to Estimate Earthquake Frequencies from Strain Rates and Stresses. JGR Solid Earth, 125(8), https://doi.org/10.1029/2020JB020186.

2019:

Bonaduce, A., Staneva, J., Behrens, A., Bidlot, J.-R., & Wilcke, R.A.I. (2019): Wave Climate Change in the North Sea and Baltic Sea. J. Mar. Sci. Eng. 2019, 7, 166, doi:10.3390/jmse7060166

Breivik, Ø., Carrasco, A., Staneva, J., Behrens, A., Semedo, A., Bidlot, J., & Aarnes, O.J. (2019): Global Stokes Drift Climate under the RCP8.5 Scenario. J. Climate, 32, 1677–1691, doi:10.1175/JCLI-D-18-0435.1

Dameris, M., Jöckel, P., and Nützel, M.(2019): Possible implications of enhanced chlorofluorocarbon-11 concentrations on ozone, Atmos. Chem. Phys., 19, 13759–13771, https://doi.org/10.5194/acp-19-13759-2019.

Furusho-Percot, C., Goergen, K., Hartick, C. et al. (2019): Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation. Sci Data 6, 320. https://doi.org/10.1038/s41597-019-0328-7

Irrgang, C., Saynisch, J., Thomas, M. (2019): Estimating global ocean heat content from tidal magnetic satellite observations. Scientific reports 9, no. 7893, https://doi.org/10.1038/s41598-019-44397-8

Kaiser, J. C., Hendricks, J., Righi, M., Jöckel, P., Tost, H., Kandler, K., Weinzierl, B., Sauer, D., Heimerl, K., Schwarz, J. P., Perring, A. E., and Popp, T.: Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation, Geosci. Model Dev., 12, 541-579, https://doi.org/10.5194/gmd-12-541-2019, 2019.

Nützel, M., Podglajen, A., Garny, H., and Ploeger, F. (2019): Quantification of water vapour transport from the Asian monsoon to the stratosphere, Atmos. Chem. Phys., 19, 8947-8966, https://doi.org/10.5194/acp-19-8947-2019.

Parisio, F., Vilarrasa, V., Wang, W., Kolditz, O., Nagel, T. (2019): The risk of long-term re-injection in supercritical geothermal systems. Nature Communications, 10. DOI: https://doi.org/10.1038/s41467-019-12146-0.

Petereit, J., Saynisch-Wagner, J., Irrgang, C., Thomas, M. (2019): Analysis of Ocean Tide‐Induced Magnetic Fields Derived From Oceanic In Situ Observations: Climate Trends and the Remarkable Sensitivity of Shelf Regions. JGR Oceans, 124(11), 8257-8270. https://doi.org/10.1029/2018JC014768

Ponte, R.M., Carson, M., Cirano, M., Domingues, C.M., Jevrejeva, S., Marcos, M., Mitchum, G., Wal, R.S.W. van de, Woodworth, P.L., Ablain, M., Ardhuin, F., Ballu, V., Becker, M., Benveniste, J., Birol, F., Bradshaw, E., Cazenave, A., Mey-Frémaux, P. de, Durand, F., Ezer, T., Fu, L.-L., Fukumori, I., Gordon, K., Gravelle, M., Griffies, S.M., Han, W., Hibbert, A., Hughes, C.W., Idier, D., Kourafalou, V.H., Little, C.M., Matthews, A., Melet, A., Merrifield, M., Meyssignac, B., Minobe, S., Penduff, T., Picot, N., Piecuch, C., Ray, R.D., Rickards, L., Santamaría-Gómez, A., Stammer, D., Staneva, J., Testut, L., Thompson, K., Thompson, P., Vignudelli, S., Williams, J., Williams, S.D.P., Wöppelmann, G., Zanna, L., & Zhang, X. (2019): Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level. Front. Mar. Sci. 6:437, doi:10.3389/fmars.2019.00437

Rakovec, O., Mizukami, N., Kumar, R., Newman, A., Thober, S., Wood, A. W., et al. (2019). Diagnostic evaluation of large‐domain hydrologic models calibrated across the contiguous United States. Journal of Geophysical Research: Atmospheres, 2019; 124: 13991– 14007. https://doi.org/10.1029/2019JD030767

Storto, A., Bonaduce, A., Feng, X., & Yang, C. (2019): Steric Sea Level Changes from Ocean Reanalyses at Global and Regional Scales. Water 2019, 11, 1987, doi:10.3390/w11101987

Tanaka Y., Klemann V., Martinec Z. (2019) 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

Wallmann, K., Flögel, S., Scholz, F., Dale, A. W., Kemena, T. P., Steinig, S., Kuhnt, W. (2019): Periodic changes in the Cretaceous ocean and climate caused by marine redox see-saw. Nature Geoscience 12, 456461, doi.org/10.1038/s41561-019-0359-x

2018:

Neelmeijer, J., Schöne, T., Dill, R., Klemann, V. and Motagh, M. (2018): Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data—A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series. Remote Sensing, 10, 462, doi:10.3390/rs10030462

Wieters, N. and Fritzsch, B.(2018): Opportunities and limitations of software project management in geoscience and climate modelling, Adv. Geosci., 45, 383-387, https://doi.org/10.5194/adgeo-45-383-2018