Publikationen am Institut für Meteorologie und Geophysik
Zeige Ergebnisse 161 - 180 von 900
Diefenbach, T., Craig, G., Keil, C., Scheck, L., & Weissmann, M. (2023). Partial Analysis Increments as Diagnostic for LETKF Data Assimilation Systems. Quarterly Journal of the Royal Meteorological Society, 149(752), 740-756. https://doi.org/10.1002/qj.4419
Li, Z., Yao, Y., Zhang, C., & Liu, Y. (2023). A novel method for evaluation of the spontaneous imbibition process in tight reservoir rocks: Mathematical model and experimental verification. Geoenergy Science and Engineering, 223, Artikel 211554. https://doi.org/10.1016/j.geoen.2023.211554
Martin, A., Weissmann, M., & Cress, A. (2023). Investigation of links between dynamical scenarios and particularly high impact of Aeolus on numerical weather prediction (NWP) forecasts. Weather and Climate Dynamics, 4(1), 249–264. https://doi.org/10.5194/wcd-4-249-2023
Bate, B., Cao, J., Yang, Y., Cao, J., Zhang, C., & Zhang, S. (2023). Investigation of Cu Adsorption and Migration with Spectral Induced Polarization in Activated Carbon. Proceedings MDPI, 11(3), Artikel 221. https://doi.org/10.3390/toxics11030221
Radi, Z., Yelles-Chaouche, A., Guettouche, S., & Bokelmann, G. (2023). Upper Mantle Anisotropy beneath Northern Algeria from Shear-Wave Splitting. Annals of Geophysics, 66. https://doi.org/10.4401/ag-8839
Gillespie, I. M., Haimberger, L., Compo, G. P., & Thorne, P. (2023). Assessing homogeneity of land surface air temperature observations using sparse-input reanalyses. International Journal of Climatology, 43(2), 736-760. https://doi.org/10.1002/joc.7822
Bailey, A., Aemisegger, F., Villiger, L., Los, S. A., Reverdin, G., Quiñones Meléndez, E., Acquistapace, C., Baranowski, D. B., Böck, T., Bony, S., Bordsdorff, T., Coffman, D., De Szoeke, S. P., Diekmann, C. J., Dütsch, M., Ertl, B., Galewsky, J., Henze, D., Makuch, P., ... Thompson, E. J. (2023). Isotopic measurements in water vapor, precipitation, and seawater during EUREC4A. Earth System Science Data, 15(1), 465-495. https://doi.org/10.5194/essd-15-465-2023
Legrand, M., McConnell, J. R., Bergametti, G., Preunkert, S., Chellman, N., Desboeufs, K., Lestel, L., Plach, A., & Stohl, A. (2023). Alpine-ice record of bismuth pollution implies a major role of military use during World War II. Scientific Reports, 13(1), Artikel 1166. https://doi.org/10.1038/s41598-023-28319-3
Keshtgar, B., Voigt, A., Hoose, C., Riemer, M., & Mayer, B. (2023). Cloud-radiative impact on the dynamics and predictability of an idealized extratropical cyclone. Weather and Climate Dynamics, 4(1), 115 - 132. https://doi.org/10.5194/wcd-4-115-2023
Boyer, M., Aliaga, D., Pernov, J. B., Angot, H., Quelever, L. L. J., Dada, L., Heutte, B., Dall'Osto, M., Beddows, D. C. S., Brasseur, Z., Beck, I., Bucci, S., Dütsch, M., Stohl, A., Laurila, T. M., Asmi, E., Massling, A., Thomas, D. C., Nøjgaard, J. K., ... Jokinen, T. (2023). A full year of aerosol size distribution data from the central Arctic under an extreme positive Arctic Oscillation: insights from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. Atmospheric Chemistry and Physics, 23(1), 389–415. Artikel 23. https://doi.org/10.5194/acp-23-389-2023
Necker, T., Hinger, D., Griewank, P., Miyoshi, T., & Weissmann, M. (2023). Guidance on how to improve vertical covariance localization based on a 1000-member ensemble. Nonlinear Processes in Geophysics, 30(1), 13-29. https://doi.org/10.5194/npg-30-13-2023
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), Artikel 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), Artikel 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, Artikel 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), Artikel 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 (Hrsg.), WARNSIGNAL-KLIMA: Hilft Technik gegen die Erderwärmung?: Climate Engineering in der Diskussion (S. 256-263). Wissenschaftliche Auswertungen in Kooperation mit GEO Magazin-Hamburg. https://doi.org/10.25592/warnsignal.klima.climate.engineering.39
Farokhmanesh, F., Höhlein, K., Necker, T., & Weissmann, M. (2023). Deep Learning–Based Parameter Transfer in Meteorological Data. Artificial Intelligence for the Earth Systems, 2(1), Artikel e220024. https://doi.org/10.1175/AIES-D-22-0024.1
Feng1*, G.-L., Guo, L., Zhao, J., Zhang, C., & Zheng, Z. (2023). Editorial: Geological disasters in deep engineering: mechanism, warning, and risk mitigation—volume II. Frontiers in Earth Science, 11, Artikel 1268516. https://doi.org/10.3389/feart.2023.1268516
Brunner, L., & Sippel, S. (2023). Identifying climate models based on their daily output using machine learning. Environmental Data Science, 2, Artikel e22. https://doi.org/10.1017/eds.2023.23
Zeige Ergebnisse 161 - 180 von 900