List of Publications
Publications describing the software
- Barbi, D., Wieters, N., Gierz, P., Andrés-Martínez, M., Ural, D., Chegini, F., Khosravi, S., and Cristini, L.: ESM-Tools version 5.0: a modular infrastructure for stand-alone and coupled Earth system modelling (ESM), Geosci. Model Dev., 14, 4051–4067, doi.org/10.5194/gmd-14-4051-2021, 2021.
Publications citing the usage of the software
- Fernanda DI Alzira Oliveira Matos, Dmitry Sidorenko, Paul Gierz, et al.: z- and ρ-AMOC under pre-industrial, historical and abrupt4xCO2 climates in AWI-ESM2.1, ESS Open Archive, DOI: 10.1002/essoar.10512223.1, August 23, 2022. (Preprint)
- Hinrichs, C., Wang, Q., Koldunov, N., Mu, L., Semmler, T., Sidorenko, D., & Jung, T.:. Atmospheric wind biases: A challenge for simulating the Arctic Ocean in coupled models?, Journal of Geophysical Research: Oceans, 126, e2021JC017565, doi.org/10.1029/2021JC017565, 2021.
- Kjellsson, Joakim , Streffing, Jan, Carver, Glenn und Köhler, Marcus: From weather forecasting to climate modelling using OpenIFS, ECMWF Newsletter, 164, pp. 38-41, DOI 10.21957/469hc10jk5, 2020.
- Matthes, K., Biastoch, A., Wahl, S., Harlaß, J., Martin, T., Brücher, T., Drews, A., Ehlert, D., Getzlaff, K., Krüger, F., Rath, W., Scheinert, M., Schwarzkopf, F. U., Bayr, T., Schmidt, H., and Park, W.: The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability, Geosci. Model Dev., 13, 2533–2568, doi.org/10.5194/gmd-13-2533-2020, 2020.
- Lu Niu, Gerrit Lohmann, Paul Gierz, Evan J. Gowan, Gregor Knorr: Coupled climate-ice sheet modelling of MIS-13 reveals a sensitive Cordilleran Ice Sheet, Global and Planetary Change, Volume 200, 103474,ISSN 0921-8181, doi.org/10.1016/j.gloplacha.2021.103474, 2021.
- Pithan, F., Athanase, M., Dahlke, S., Sánchez-Benítez, A., Shupe, M. D., Sledd, A., Streffing, J., Svensson, G., and Jung, T.: Nudging allows direct evaluation of coupled climate models with in situ observations: a case study from the MOSAiC expedition, Geosci. Model Dev., 16, 1857–1873, doi.org/10.5194/gmd-16-1857-2023, 2023.
- Sánchez-Benítez, A., H. Goessling, F. Pithan, T. Semmler, and T. Jung: The July 2019 European Heat Wave in a Warmer Climate: Storyline Scenarios with a Coupled Model Using Spectral Nudging, J. Climate, 35, 2373–2390, doi.org/10.1175/JCLI-D-21-0573.1, 2022.
- Pengyang Song, Patrick Scholz, Gregor Knorr et al.: Thresholds of accelerated basal melting of the Antarctic Ice Sheet in climate projections, 20 December 2023, PREPRINT (Version 1) available at Research Square doi.org/10.21203/rs.3.rs-3774797/v1
- Streffing, J., Sidorenko, D., Semmler, T., Zampieri, L., Scholz, P., Andrés-Martínez, M., Koldunov, N., Rackow, T., Kjellsson, J., Goessling, H., Athanase, M., Wang, Q., Hegewald, J., Sein, D. V., Mu, L., Fladrich, U., Barbi, D., Gierz, P., Danilov, S., Juricke, S., Lohmann, G., and Jung, T.: AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model, Geosci. Model Dev., 15, 6399–6427, doi.org/10.5194/gmd-15-6399-2022, 2022.
- Tang, Q., Mu, L., Goessling, H. F., Semmler, T., & Nerger, L.: Strongly coupled data assimilation of ocean observations into an ocean-atmosphere model, Geophysical Research Letters, 48, e2021GL094941. doi.org/10.1029/2021GL094941, 2021.
- Edward B Lochocki and others, BioCro II: a software package for modular crop growth simulations, in silico Plants, Volume 4, Issue 1, diac003, doi.org/10.1093/insilicoplants/diac003, 2022.
- Valcke, S.: Highlights from a Workshop on the Latest Updates on Coupling Technologies and Coupled Applications in Earth System Modeling, Bull. Amer. Meteor. Soc., 103, E657–E664, doi.org/10.1175/BAMS-D-21-0045.1, 2022.