Publications at the Department for Meteorology and Geophysics
Showing entries 61 - 80 out of 679
Hu, G., Dance, S. L., Bannister, R. N., Chipilski, H. G., Guillet, O., Macpherson, B., Weissmann, M., & Yussouf, N. (2023). Progress, challenges, and future steps in data assimilation for convection-permitting numerical weather prediction: Report on the virtual meeting held on 10 and 12 November 2021. Atmospheric Science Letters, 24(1), [e1130]. https://doi.org/10.1002/asl.1130
Nomokonova, T., Griewank, P., Loehnert, U., Miyoshi, T., Necker, T., & Weissmann, M. (2023). Estimating the benefit of Doppler wind lidars for short-term low-level wind ensemble forecasts. Quarterly Journal of the Royal Meteorological Society, 149(750), 192-210. https://doi.org/10.1002/qj.4402
Schutt, D. L., Porritt, R. W., Esteve, C., Audet, P., Gosselin, J. M., Schaeffer, A. J., Aster, R. C., Freymueller, J. T., & Cubley, J. F. (2023). Lithospheric S Wave Velocity Variations Beneath the Mackenzie Mountains and Northern Canadian Cordillera. Journal of Geophysical Research - Solid Earth, 128(1), [e2022JB025517]. https://doi.org/10.1029/2022JB025517
Soto Bravo, F. A., & Zhang, C. (2023). A critical mini-review on the low-field nuclear magnetic resonance investigation of pore coupling effects in near-surface environments. Frontiers in Water, 5, [1059128]. https://doi.org/10.3389/frwa.2023.1059128
Boyce, A., Liddell, M. V., Pugh, S., Brown, J., McMurchie, E., Parsons, A., Esteve, C., Burdick, S., Darbyshire, F. A., Cottaar, S., Bastow, I. D., Schaeffer, A. J., Audet, P., Schutt, D. L., & Aster, R. C. (2023). A new P-wave Tomographic Model (CAP22) for North America: Implications for the Subduction and Cratonic Metasomatic Modification History of Western Canada and Alaska. Journal of Geophysical Research - Solid Earth, 128(3), [e2022JB025745]. https://doi.org/10.1029/2022JB025745
Gasparini, B., Quante, M., & Lohmann, U. (2023). Ausdünnung der Cirrusbewölkung um dem Klimawandel entgegenzuwirken? In J. L. Lozán, H. Graßl, S-W. Breckle, D. Kasang, & M. Quante (Eds.), WARNSIGNAL-KLIMA: Hilft Technik gegen die Erderwärmung?: Climate Engineering in der Diskussion (pp. 256-263). Wissenschaftliche Auswertungen in Kooperation mit GEO Magazin-Hamburg. WARNSIGNAL-KLIMA https://doi.org/10.25592/warnsignal.klima.climate.engineering.39
Brunner, L., & Sippel, S. (2023). Identifying climate models based on their daily output using machine learning. Environmental Data Science, 2, [e22]. https://doi.org/10.1017/eds.2023.23
Liu, Y., Yao, Y., Liu, D., & Zhang, C. (2023). Nuclear Magnetic Resonance Investigation of Forced Imbibitions in Longmaxi Shales: Consideration of Different Boundary Conditions. Energy & Fuels, 37(8), 5853-5866. https://doi.org/10.1021/acs.energyfuels.3c00404
Eckhardt, S., Pisso, I., Evangeliou, N., Groot Zwaaftink, C., Plach, A., McConnell, J. R., Sigl, M., Ruppel, M. M., Zdanowicz, C., Lim, S., Chellman, N. J., Opel, T., Meyer, H., Steffensen, J. P., Schwikowski, M., & Stohl, A. (2023). Revised historical Northern Hemisphere black carbon emissions based on inverse modeling of ice core records. Nature Communications, 14(1), [271]. https://doi.org/10.1038/s41467-022-35660-0
Quante, M., Gasparini, B., & Belge, B. (2023). Vom Regenmachen zur Klimaintervention – Ein Blick auf die Ideen- und Entwicklungsgeschichte des Climate Engineering. In J. L. Lozán, H. Graßl, S-W. Breckle, D. Kasang, & M. Quante (Eds.), WARNSIGNAL-KLIMA: Hilft Technik gegen die Erderwärmung?: Climate Engineering in der Diskussion (pp. 34-42). Wissenschaftliche Auswertungen in Kooperation mit GEO Magazin-Hamburg. https://doi.org/10.25592/warnsignal.klima.climate.engineering.05
Liptai, N., Gráczer, Z., Szanyi, G., Cloetingh, S. A. P. L., Süle, B., Aradi, L., Falus, G., Bokelmann, G., Timkó, M., Timár, G., Szabó, C., Istvan, K., & AlpArray Working Group (2022). Seismic anisotropy in the mantle of a tectonically inverted extensional basin: A shear-wave splitting and mantle xenolith study on the western Carpathian-Pannonian region. Tectonics, 845, [229643]. https://doi.org/10.1016/j.tecto.2022.229643
Baier, K., Dütsch, M., Mayer, M., Bakels, L., Haimberger, L., & Stohl, A. (2022). The Role of Atmospheric Transport for El Niño-Southern Oscillation Teleconnections. Geophysical Research Letters, 49(23), [e2022GL100906]. https://doi.org/10.1029/2022GL100906
Badgeley, J. A., Steig, E. J., & Dütsch, M. (2022). Uncertainty in Reconstructing Paleo‐Elevation of the Antarctic Ice Sheet From Temperature‐Sensitive Ice Core Records. Geophysical Research Letters, 49(23), [e2022GL100334]. https://doi.org/10.1029/2022GL100334
Krüger, K., Schäfler, A., Wirth, M., Weissmann, M., & Craig, G. C. (2022). Vertical structure of the lower-stratospheric moist bias in the ERA5 reanalysis and its connection to mixing processes. Atmospheric Chemistry and Physics, 22(23), 15559-15577. https://doi.org/10.5194/acp-22-15559-2022
Vojta, M., Plach, A., Thompson, R. L., & Stohl, A. (2022). A comprehensive evaluation of the use of Lagrangian particle dispersion models for inverse modeling of greenhouse gas emissions. Geoscientific Model Development, 15(22), 8295-8323. [22]. https://doi.org/10.5194/gmd-15-8295-2022
Braun, C., Voigt, A., Hoose, C., Ekman, A. M. L., & Pinto, J. G. G. (2022). Controls on Subtropical Cloud Reflectivity during a Waterbelt Scenario for the Cryogenian Glaciations. Journal of Climate, 35(21), 3457-3476. https://doi.org/10.1175/JCLI-D-22-0241.1
Villanueva, D., Possner, A., Neubauer, D., Gasparini, B., Lohmann, U., & Tesche, M. (2022). Mixed-phase regime cloud thinning could help restore sea ice. Environmental Research Letters, 17(11), [114057]. https://doi.org/10.1088/1748-9326/aca16d
Choudhary, A., & Voigt, A. (2022). Impact of grid spacing, convective parameterization and cloud microphysics in ICON simulations of a warm conveyor belt. Weather and Climate Dynamics, 3(4), 1199-1214. https://doi.org/10.5194/wcd-3-1199-2022
Sullivan, S., Voigt, A., Miltenberger, A., Rolf, C., & Krämer, M. (2022). A Lagrangian Perspective of Microphysical Impact on Ice Cloud Evolution and Radiative Heating. Journal of Advances in Modeling Earth Systems, 14(11), [e2022MS003226]. https://doi.org/10.1029/2022MS003226
Voigt, A., Schwer, P., Rotberg, N. V., & Knopf, N. (2022). TriCCo v1.1.0 – a cubulation-based method for computing connected components on triangular grids. Geoscientific Model Development, 15(19), 7489-7504. https://doi.org/10.5194/gmd-15-7489-2022
Showing entries 61 - 80 out of 679