DOI: 10.5281/zenodo.7612988
title: Southern Hemisphere Lamb Weather Types from historical GCM experiments and various reanalyses

description: This dataset comprises six-hourly Lamb Weather Type (LWT) time series covering the period 1979-2005 for a) historical experiments run with 61 distinct GCMs from CMIP5 and 6 (specified in "get_historical_metadata.py" published at https://doi.org/10.5281/zenodo.4555367) and b) 3 distinct reanalyses (ERA-Interim, JRA-55 and ERA5, the latter extended to 2020). The LWT time series are provided on a 2.5º regular latitude-longitude grid covering the southern hemisphere between 30ºS and 70ºS. The full LWT approach covering 27 classes is applied and the corresponding results for the Northern Hemisphere were stored in a companion dataset at https://doi.org/10.5281/zenodo.4452080. The format of the files is netCDF-4, compressed with the netCDF Kitchen Sink command "ncks -4 -L 1". The Python code used to generate this dataset is available from https://doi.org/10.5281/zenodo.4555367 contact: Swen Brands, brandssf@ifca.unican.es <strong>Principal Research Articles, Software and Complementary Datasets Associated with this Dataset</strong> Brands, S. (2022). A circulation-based performance atlas of the CMIP5 and<br> 6 models for regional climate studies in the Northern Hemisphere mid-to-<br> high latitudes. Geoscientific Model Development, 15 (4), 1375–1411.<br> doi: https://doi.org/10.5194/gmd-15-1375-2022 Brands, S. (2022). A circulation-based performance atlas of the CMIP5 and 6 mod-<br> els for regional climate studies in the northern hemisphere [data set]. Zenodo.<br> doi: https://doi.org/10.5281/zenodo.4452080 Brands, S. (2022). Common error patterns in the regional atmospheric circulation<br> simulated by the CMIP multi-model ensemble. Geophysical Research Letters,<br> 49 (23), e2022GL101446. doi: https://doi.org/10.1029/2022GL101446 Brands, S. (2022). Python code to calculate Lamb circulation types for the North-<br> ern Hemisphere derived from historical CMIP simulations and reanalysis data<br> [code]. Zenodo. doi: https://doi.org/10.5281/zenodo.4555367 Brands, S., Fernández-Granja, J. A., Bedia, J., Casanueva, A., & Fernández,<br> J. (2023). Auxiliary online material to Brands et al. (2023): A global<br> climate model performance atlas for the Southern Hemisphere extratrop-<br> ics based on regional atmospheric circulation patterns. figshare. doi:<br> https://doi.org/10.6084/m9.figshare.22193443.v1 Brands, S., Fernández-Granja, J. A., Bedia, J., Casanueva, A., & Fernández,<br> J. (2023b). Southern Hemisphere Lamb Weather Types from historical<br> GCM experiments and various reanalyses (1.0) [data set]. Zenodo. doi:<br> https://doi.org/10.5281/zenodo.7612988 Brands, S., Tatebe, H., Danek, C., Fernández, J., Swart, N., Volodin, E., . . . Tong-<br> wen, W. (2023). GCM metadata archive get historical metadata.py (v1.1).<br> Zenodo. doi: https://doi.org/10.5281/zenodo.7715383 Fernández-Granja, J. A., Brands, S., Bedia, J., Casanueva, A., & Fernández, J.<br> (2023). Exploring the limits of the Jenkinson–Collison weather types clas-<br> sification scheme: a global assessment based on various reanalyses.<br> Climate Dynamics. doi: 10.1007/s00382-022-06658-7 <strong>References of the source GCMs</strong> <strong>and Early References of the Lamb Weather Typing Method</strong> Bentsen, M., Bethke, I., Debernard, J. B., Iversen, T., Kirkevåg, A., Seland, Ø., . . .<br> Kristjánsson, J. E. (2013). The Norwegian Earth System Model, NorESM1-M<br> – part 1: Description and basic evaluation of the physical climate.<br> Geoscientific Model Development, 6 (3), 687–720. doi: 10.5194/gmd-6-687-2013 Bi, D., Dix, M., Marsland, S., O’Farrell, S., Sullivan, A., Bodman, R., . . . Heerde-<br> gen, A. (2020). Configuration and spin-up of ACCESS-CM2, the new gener-<br> ation Australian Community Climate and Earth System Simulator Coupled<br> Model. Journal of Southern Hemisphere Earth Systems Science, 70 (1), 225-<br> 251. doi: doi:10.1071/ES19040 Bi, D., Dix, M., Marsland, S. J., O’Farrell, S., Rashid, H., Uotila, P., . . . Puri, K.<br> (2013). The ACCESS coupled model: description, control climate and evaluation. Australian Meteorological and Oceanographic Journal , 63 , 41-64. doi: 0.22499/2.6301.004 Boucher, O., Servonnat, J., Albright, A. L., Aumont, O., Balkanski, Y., Bastrikov,<br> V., . . . Vuichard, N. (2020). Presentation and evaluation of the IPSL-CM6A-<br> LR climate model. Journal of Advances in Modeling Earth Systems, 12 (7),<br> e2019MS002010. doi: 10.1029/2019MS002010<br> Cao, J., Wang, B., Yang, Y.-M., Ma, L., Li, J., Sun, B., . . . Wu, L.<br> (2018). The NUIST Earth System Model (NESM) version 3: description and prelimi-<br> nary evaluation. Geoscientific Model Development, 11 (7), 2975–2993.<br> doi: 10.5194/gmd-11-2975-2018 Cherchi, A., Fogli, P. G., Lovato, T., Peano, D., Iovino, D., Gualdi, S., . . . Navarra,<br> A. (2019). Global mean climate and main patterns of variability in the CMCC-<br> CM2 coupled model. Journal of Advances in Modeling Earth Systems, 11 (1),<br> 185-209. doi: 10.1029/2018MS001369 Chylek, P., Li, J., Dubey, M. K., Wang, M., & Lesins, G. (2011).<br> Observed and model simulated 20th century arctic temperature variability: Canadian Earth<br> System Model CanESM2. Atmospheric Chemistry and Physics Discussions,<br> 11 , 22893–22907. doi: 10.5194/acpd-11-22893-2011 Collins, W. J., Bellouin, N., Doutriaux-Boucher, M., Gedney, N., Halloran, P., Hinton, T., . . . Woodward, S. (2011). Development and evaluation of an Earth-System model – HadGEM2. Geoscientific Model Development, 4 (4),1051–1075.doi: 10.5194/gmd-4-1051-2011 Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., . . .<br> Vitart, F. (2011). The ERA-Interim reanalysis: configuration and performance<br> of the data assimilation system. Q. J. R. Meteorol. Soc., 137 (656, Part a),<br> 553-597. doi: 10.1002/qj.828 Döscher, R., Acosta, M., Alessandri, A., Anthoni, P., Arneth, A., Arsouze, T., . . .<br> Zhang, Q. (2021). The EC-Earth3 Earth System Model for the Coupled Model<br> Intercomparison Project 6. Geoscientific Model Development Discussions,<br> 2021 , 1–90. doi: 10.5194/gmd-2020-446 Dufresne, J.-L., Foujols, M.-A., Denvil, S., Caubel, A., Marti, O., Aumont, O., . . .<br> Vuichard, N. (2013). Climate change projections using the IPSL-CM5 Earth<br> System Model: from CMIP3 to CMIP5. Clim. Dyn., 40 (9-10), 2123-2165. doi:<br> 10.1007/s00382-012-1636-1 Dunne, J. P., Horowitz, L. W., Adcroft, A. J., Ginoux, P., Held, I. M., John, J. G.,<br> . . . Zhao, M. (2020). The GFDL Earth System Model version 4.1 (GFDL-<br> ESM 4.1): Overall coupled model description and simulation characteristics.<br> Journal of Advances in Modeling Earth Systems, 12 (11), e2019MS002015. doi:<br> https://doi.org/10.1029/2019MS002015 Dunne, J. P., John, J. G., Adcroft, A. J., Griffies, S. M., Hallberg, R. W., Shevli-<br> akova, E., . . . Zadeh, N. (2012). GFDL’s ESM2 Global Coupled Climate-<br> Carbon Earth System Models. Part I: Physical formulation and baseline<br> simulation characteristics.Journal of Climate, 25 (19), 6646–6665.<br> doi: https://doi.org/10.1175/JCLI-D-11-00560.1 Griffies, S., Winton, M., Donner, L., Horowitz, L., Downes, S., Farneti, R., . . .<br> Zadeh, N. (2011). The GFDL-CM3 coupled climate model: Characteristics<br> of the ocean and sea ice simulations. Journal of Climate, 24 , 3520-3544. doi:<br> 10.1175/2011JCLI3964.1 Hajima, T., Watanabe, M., Yamamoto, A., Tatebe, H., Noguchi, M. A., Abe, M., . . .<br> Kawamiya, M. (2020). Development of the MIROC-ES2L Earth system model<br> and the evaluation of biogeochemical processes and feedbacks.<br> Geoscientific Model Development, 13 (5), 2197–2244. doi: 10.5194/gmd-13-2197-2020 Hazeleger, W., Wang, X., Severijns, C., Briceag, S., Bintanja, R., Sterl, A., . . .<br> van der Wiel, K. (2011). Ec-earth v2.2: Description and validation of a new<br> seamless earth system prediction model.Climate Dynamics, 39 , 1-19.<br> doi: 10.1007/s00382-011-1228-5 Held, I. M., Guo, H., Adcroft, A., Dunne, J. P., Horowitz, L. W., Krasting, J., . . .<br> Zadeh, N. (2019). Structure and performance of GFDL’s CM4.0 climate<br> model. Journal of Advances in Modeling Earth Systems, 11 (11), 3691-3727.<br> doi: 10.1029/2019MS001829 Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater,<br> J., . . . Thépaut, J.-N. (2020). The ERA5 global reanalysis. Quarterly<br> Journal of the Royal Meteorological Society, 146 (730), 1999-2049.<br> doi:https://doi.org/10.1002/qj.3803 Jones, P. D., Hulme, M., & Briffa, K. R. (1993). A comparison of Lamb circulation<br> types with an objective classification scheme. International Journal of Clima-<br> tology, 13 (6), 655-663. doi: https://doi.org/10.1002/joc.3370130606 Kelley, M., Schmidt, G. A., Nazarenko, L. S., Bauer, S. E., Ruedy, R., Russell,<br> G. L., . . . Yao, M.-S. (2020). GISS-E2.1: Configurations and climatology.<br> Journal of Advances in Modeling Earth Systems, 12 (8), e2019MS002025. doi:<br> 10.1029/2019MS002025 Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., . . . Taka-<br> hashi, K. (2015). The JRA-55 Reanalysis: General specifications and basic<br> characteristics. Journal of the Meteorological Society of Japan. Ser. II , 93 (1),<br> 5-48. doi: 10.2151/jmsj.2015-001 Lamb, H. (1972). British Isles weather types and a register of daily sequence of cir-<br> culation patterns, 1861-1971. Geophysical Memoir , 116 , 85pp. (HMSO) Lee, J., Kim, J., Sun, M.-A., Kim, B.-H., Moon, H., Sung, H. M., . . . Byun, Y.-<br> H. (2019). Evaluation of the Korea Meteorological Administration Ad-<br> vanced Community Earth-System model (K-ACE). Asia-Pacific Journal of Atmospheric Sciences, 56 , 381–395.<br> doi: https://doi.org/10.1007/ Lee, W.-L., Wang, Y.-C., Shiu, C.-J., Tsai, I., Tu, C.-Y., Lan, Y.-Y., . . . Hsu, H.-H.<br> (2020). Taiwan Earth System Model version 1: description and evaluation<br> of mean state. Geoscientific Model Development, 13 (9), 3887–3904. doi:<br> 10.5194/gmd-13-3887-2020 Li, L., Lin, P., Yu, Y.-Q., Zhou, T., Liu, L., Liu, J., . . . Qiao, F.-L.<br> (2013). The Flexible Global Ocean-Atmosphere-Land System Model, Grid-point ver-<br> sion 2: FGOALS-g2. Advances in Atmospheric Sciences, 30 , 543-560.doi:<br> 10.1007/s00376-012-2140-6 Li, L., Yu, Y., Tang, Y., Lin, P., Xie, J., Song, M., . . . Wei, J. (2020). The Flex-<br> ible Global Ocean-Atmosphere-Land System Model Grid-point version 3<br> (FGOALS-g3): Description and evaluation. Journal of Advances in Model-<br> ing Earth Systems, 12 (9), e2019MS002012. doi: https://doi.org/10.1029/<br> 2019MS002012 Martin, T. H. D. T. G. M., Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran,<br> P. R., Hardiman, S. C., . . . Wiltshire, A. (2011). The HadGEM2 family of Met<br> Office Unified Model climate configurations. Geoscientific Model Development,<br> 4 (3), 723–757. doi: 10.5194/gmd-4-723-2011 Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R., . . .<br> Roeckner, E. (2019). Developments in the MPI-M Earth System Model version<br> 1.2 (MPI-ESM1.2) and its response to increasing CO2. Journal of Advances in<br> Modeling Earth Systems, 11 (4), 998-1038. doi: 10.1029/2018MS001400 Pak, G., Noh, Y., Lee, M.-I., Yeh, S.-W., Kim, D., Kim, S.-Y., . . . Kim, Y. H.<br> (2021). Korea Institute of Ocean Science and Technology Earth System Model<br> and its simulation characteristics. Ocean Science Journal , 56 , 18-45.<br> doi: 10.1007/s12601-021-00001-7 Park, S., Shin, J., Kim, S., Oh, E., & Kim, Y.<br> (2019). Global climate simulated by the Seoul National University Atmosphere Model version 0 with a unified<br> convection scheme (SAM0-UNICON). Journal of Climate, 32 (10), 2917-2949.<br> doi: 10.1175/JCLI-D-18-0796.1 Roberts, M., Baker, A., Blockley, E., Calvert, D., Coward, A., Hewitt, H., . . . Vi-<br> dale, P. (2019). Description of the resolution hierarchy of the global coupled<br> HadGEM3-GC3.1 model as used in CMIP6 HighResMIP experiments. Geosci-<br> entific Model Development Discussions, 1-47. doi: 10.5194/gmd-2019-148 Schmidt, G. A., Kelley, M., Nazarenko, L., Ruedy, R., Russell, G. L., Aleinov, I.,<br> . . . Zhang, J. (2014). Configuration and assessment of the GISS ModelE2<br> contributions to the CMIP5 archive. Journal of Advances in Modeling Earth<br> Systems, 6 (1), 141-184. doi: 10.1002/2013MS000265 Scoccimarro, E., Gualdi, S., Bellucci, A., Sanna, A., Giuseppe Fogli, P., Manzini, E.,<br> . . . Navarra, A. (2011). Effects of tropical cyclones on ocean heat transport<br> in a high-resolution coupled general circulation model.<br> Journal of Climate, 24 (16), 4368-4384. doi: 10.1175/2011JCLI4104.1 Seland, Ø., Bentsen, M., Seland Graff, L., Olivié, D., Toniazzo, T., Gjermundsen,<br> A., . . . Schulz, M. (2020). The Norwegian Earth System Model, NorESM2 –<br> evaluation of the CMIP6 DECK and historical simulations. Geoscientific Model<br> Development, 2020 , 1–68. doi: 10.5194/gmd-2019-378 Semmler, T., Danilov, S., Gierz, P., Goessling, H. F., Hegewald, J., Hinrichs, C.,<br> . . . Jung, T. (2020). Simulations for CMIP6 with the AWI Climate Model AWI-CM-1-1.<br> Journal of Advances in Modeling Earth Systems, 12 (9), e2019MS002009. doi: 10.1029/2019MS002009 Swapna, P., Koll, R., Aparna, K., Kulkarni, K., Ag, P., Ashok, K., . . . Goswami,<br> B. N. (2015). The IITM Earth System Model: Transformation of a seasonal<br> prediction model to a long term climate model. Bulletin of the American<br> Meteorological Society, 96 , 1351–1367. doi: 10.1175/BAMS-D-13-00276.1 Séférian, R., Nabat, P., Michou, M., Saint-Martin, D., Voldoire, A., Colin, J., . . .<br> Madec, G. (2019). Evaluation of CNRM Earth System Model, CNRM-ESM2-1: Role of Earth system processes in present-day and future climate. Journal of Advances in Modeling Earth Systems, 11 (12), 4182-4227.<br> doi: 10.1029/2019MS001791 Tamura, T., Ohshima, K. I., & Nihashi, S. (2008). Mapping of sea ice production for<br> antarctic coastal polynyas. Geophysical Research Letters, 35 (7). doi: https://<br> doi.org/10.1029/2007GL032903 Tatebe, H., Ogura, T., Nitta, T., Komuro, Y., Ogochi, K., Takemura, T., . . . Ki-<br> moto, M. (2019). Description and basic evaluation of simulated mean state,<br> internal variability, and climate sensitivity in MIROC6.<br> Geoscientific Model Development, 12 (7), 2727–2765. doi: 10.5194/gmd-12-2727-2019 Tegen, I., Neubauer, D., Ferrachat, S., Siegenthaler-Le Drian, C., Bey, I., Schutgens,<br> N., . . . Lohmann, U. (2019). The global aerosol–climate model ECHAM6.3–<br> HAM2.3 – part 1: Aerosol evaluation. Geoscientific Model Development, 12 (4),<br> 1643–1677. doi: 10.5194/gmd-12-1643-2019 Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M.,<br> . . . Waldman, R. (2019). Evaluation of CMIP6 DECK experiments with<br> CNRM-CM6-1. Journal of Advances in Modeling Earth Systems, 11 (7), 2177-<br> 2213. doi: 10.1029/2019MS001683 <br> Voldoire, A., Sanchez-Gomez, E., Salas y Melia, D., Decharme, B., Cassou, C., Sen-<br> esi, S., . . . Chauvin, F. (2013). The CNRM-CM5.1 global climate model:<br> description and basic evaluation. Clim. Dyn., 40 (9-10), 2091-2121.<br> doi: 10.1007/s00382-011-1259-y Volodin, E., Diansky, N., & Gusev, A. (2010). Simulating present-day climate<br> with the INMCM4.0 coupled model of the atmospheric and oceanic general<br> circulations. Izvestiya, Atmospheric and Oceanic Physics, 46 , 414-431. doi:<br> https://doi.org/10.1134/S000143381004002X Volodin, E., Mortikov, E., Kostrykin, S., Galin, V., Lykossov, V., Gritsun, A.,<br> . . . Iakovlev, N. (2017). Simulation of the present-day climate with<br> the climate model INMCM5. Climate Dynamics, 49 , 3715–3734.<br> doi: https://doi.org/10.1007/s00382-017-3539-7 Watanabe, M., Suzuki, T., O’ishi, R., Komuro, Y., Watanabe, S., Emori, S., . . .<br> Kimoto, M. (2010). Improved climate simulation by MIROC5: Mean states,<br> variability, and climate sensitivity. Journal of Climate, 23 , 6312-6335. doi:<br> 10.1175/2010JCLI3679.1 Watanabe, S., Hajima, T., Sudo, K., Nagashima, T., Takemura, T., Okajima, H., . . .<br> Kawamiya, M. (2011). MIROC-ESM 2010: model description and basic results<br> of CMIP5-20c3m experiments. Geoscientific Model Development, 4 , 845-872.<br> doi: 10.5194/gmd-4-845-2011 Wu, T., Lu, Y., Fang, Y., Xin, X., Li, L., Li, W., . . . Liu, X. (2019). The Beijing<br> Climate Center Climate System Model (BCC-CSM): the main progress from<br> CMIP5 to CMIP6. Geoscientific Model Development, 12 (4), 1573–1600. doi:<br> 10.5194/gmd-12-1573-2019 Wu, T., Song, L., Li, W., Wang, Z., Zhang, H., Xin, X., . . . Zhou, M.<br> (2014). An overview of BCC Climate System Model development and application<br> for climate change studies. Acta Meteorologica Sinica, 28 , 34–56. doi:<br> 10.1007/s13351-014-3041-7 Yukimoto, S., Kawai, H., Koshiro, T., Oshima, N., Yoshida, K., Urakawa, S., . . .<br> Ishii, M. (2019). The Meteorological Research Institute Earth System Model<br> version 2.0, MRI-ESM2.0: Description and basic evaluation of the physical<br> component. Journal of the Meteorological Society of Japan. Ser. II , 97 (5),<br> 931-965. doi: 10.2151/jmsj.2019-051 Yukimoto, S., Yoshimura, H., Hosaka, M., Sakami, T., Tsujino, H., Hirabara, M.,<br> . . . Kitoh, A. (2011). Meteorological Research Institute-Earth System Model version 1 (MRI-ESM1) — model description —.Technical Reports of the Meteorological Research Institute, 64 , 1-96. Ziehn, T., Chamberlain, M. A., Law, R. M., Lenton, A., Bodman, R. W., Dix, M.,<br> . . . Srbinovsky, J. (2020). The Australian Earth System Model: ACCESS-<br> ESM1.5. Journal of Southern Hemisphere Earth Systems Science, 70 , 193-214.<br> doi: https://doi.org/10.1071/ES19035
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