Changes between Version 175 and Version 176 of PublicationsandPresentations
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- May 9, 2021, 5:02:41 PM (4 years ago)
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PublicationsandPresentations
v175 v176 55 55 Pardini, F., Corradini, S., Costa, A., Esposti Ongaro, T., Merucci, L., Neri, A., Stelitano, D., de' Michieli Vitturi, M. (2020) Ensemble-based data assimilation of volcanic ash clouds from satellite observations: Application to the 24 December 2018 Mt. Etna explosive eruption. Atmosphere, 11 359 [https://doi.org/10.3390/atmos11040359 doi:10.3390/atmos11040359] 56 56 57 Brune, S., Baehr, J. (2020) Preserving the coupled atmosphere-ocean feedback in initializations of decadal climate predictios. Wile tInterdisciplinary Reviews - Climate Change, e637 [https://doi.org/10.1002/wcc.637 doi:10.1002/wcc.637]57 Brune, S., Baehr, J. (2020) Preserving the coupled atmosphere-ocean feedback in initializations of decadal climate predictios. Wiley Interdisciplinary Reviews - Climate Change, e637 [https://doi.org/10.1002/wcc.637 doi:10.1002/wcc.637] 58 58 59 59 Mu, L., Nerger, L., Tang, Q., Losa, S. N., Sidorenko, D., Wang, Q., Semmler, T., Zampieri, L., Losch, M., Goessling, H. F. (2020) Towards a data assimilation system for seamless sea ice prediction based o the AWI climate model. Journal of Advances in Modeling Earth Systems, 12, e2019MS001937 [https://doi.org/10.1029/2019MS001937 doi:10.1029/2019MS001937] … … 62 62 63 63 Naz, B. S., Kollet, S., Hendricks-Franssen, H.-J., Montzka,C. Kurtz, W. (2020) A 3 km spatially and temporally consustent European daily soil moisture reanalysis from 2000 to 2015. Scientific Data 7, 111 [https://doi.org/10.1038/s41597-020-0450-6 doi:10.1038/s41597-020-0450-6] 64 64 65 Brune, S., Baehr, J. (2020) Preserving th ecoupled atmosphere-ocean feedback in initialization of decadal climate predictions. WIREs Clim Change 2020:e637 [https://doi.org/10.1002/wcc.637 doi:10.1002/wcc.637] 65 66 … … 93 94 94 95 === 2018 === 96 97 Janjic, T., N. Bormann, M. Bocquet, J. A. Carton, S. E. Cohn, S. L. Dance, S. N. Losa, N. K. Nichols, R. Potthast, J. A. Waller, P. Weston (2018) On the representation error in data assimilation. Q. J. Royal Metorol. Soc., 144, 1257-1278 [https://doi.org/10.1002/qj.3130 doi:10.1002/qj.3130] (PDAF is not cited, but the experiments for the Baltic sea are performed using PDAF) 95 98 96 99 Shrestha, P., Kurtz, W., Vogel, G., Schulz, J.-P., Sulis, M., Hendricks Franssen, H.-J., Kollet, S., Simmern, C. (2018). Connection between root 97 100 zone soil moisture and surface energy flux partitioning using modeling, observations, and data assimilation for a temperate grassland site in Germany. 98 Journal of Geophysical Research: Biogeosciences, 123 (2018) 2839-2862 [https://doi.org/10.1029/2016JG003753 ]101 Journal of Geophysical Research: Biogeosciences, 123 (2018) 2839-2862 [https://doi.org/10.1029/2016JG003753 doi:10.1029/2016JG003753] 99 102 100 103 Liu, Y, W. Fu (2018). Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea. Ocean Science 14(2018) 525-541 [https://doi.org/10.5194/os-14-525-2018] (The paper doesn't mention PDAF, but the author's confirmed that PDAF with offline-coupling to NEMO was used)