Publications by ESM partners

2019:

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

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

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.

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.

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.

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.

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.

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

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

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

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

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)

 

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)

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

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)

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 

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

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

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

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

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

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

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

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

Staneva et al. (2018) A North Sea-Baltic Sea regional coupled models: Atmosphere, wind waves and ocean, Proceedings of the Eigh 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., 223-233.

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)

Wieters, N. and Fritzsch, B.: 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, 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

 

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

Saynisch, J., Petereit, J., Irrgang, C., Thomas, M. (2017): Impact of oceanic warming on electromagnetic oceanic tidal signals - a CMIP5 climate model based sensitivity study. - Geophysical Research Letters, 44, 10, pp. 4994-5000. DOI: http://doi.org/10.1002/2017GL073683