[{"doi":"10.1007/s00382-022-06337-7","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","day":"01","author":[{"last_name":"Goswami","first_name":"Bidyut B","id":"3a4ac09c-6d61-11ec-bf66-884cde66b64b","full_name":"Goswami, Bidyut B","orcid":"0000-0001-8602-3083"}],"month":"01","status":"public","isi":1,"related_material":{"link":[{"url":" https://doi.org/10.1007/s00382-022-06401-2","relation":"erratum"}]},"quality_controlled":"1","publication":"Climate Dynamics","scopus_import":"1","citation":{"ieee":"B. B. GOSWAMI, “Role of the eastern equatorial Indian Ocean warming in the Indian summer monsoon rainfall trend,” <i>Climate Dynamics</i>, vol. 60. Springer Nature, pp. 427–442, 2023.","ama":"GOSWAMI BB. Role of the eastern equatorial Indian Ocean warming in the Indian summer monsoon rainfall trend. <i>Climate Dynamics</i>. 2023;60:427-442. doi:<a href=\"https://doi.org/10.1007/s00382-022-06337-7\">10.1007/s00382-022-06337-7</a>","ista":"GOSWAMI BB. 2023. Role of the eastern equatorial Indian Ocean warming in the Indian summer monsoon rainfall trend. Climate Dynamics. 60, 427–442.","short":"B.B. GOSWAMI, Climate Dynamics 60 (2023) 427–442.","apa":"GOSWAMI, B. B. (2023). Role of the eastern equatorial Indian Ocean warming in the Indian summer monsoon rainfall trend. <i>Climate Dynamics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00382-022-06337-7\">https://doi.org/10.1007/s00382-022-06337-7</a>","mla":"GOSWAMI, BIDYUT B. “Role of the Eastern Equatorial Indian Ocean Warming in the Indian Summer Monsoon Rainfall Trend.” <i>Climate Dynamics</i>, vol. 60, Springer Nature, 2023, pp. 427–42, doi:<a href=\"https://doi.org/10.1007/s00382-022-06337-7\">10.1007/s00382-022-06337-7</a>.","chicago":"GOSWAMI, BIDYUT B. “Role of the Eastern Equatorial Indian Ocean Warming in the Indian Summer Monsoon Rainfall Trend.” <i>Climate Dynamics</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1007/s00382-022-06337-7\">https://doi.org/10.1007/s00382-022-06337-7</a>."},"acknowledgement":"This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2018R1A5A1024958). Model simulation and data transfer were supported by the National Supercomputing Center with supercomputing resources including technical support (KSC-2019-CHA-0005), the National Center for Meteorological Supercomputer of Korea Meteorological Administration, and by the Korea Research Environment Open NETwork (KREONET), respectively. The authors declare no conflicts of interest.","date_published":"2023-01-01T00:00:00Z","external_id":{"isi":["000803119400002"]},"corr_author":"1","article_processing_charge":"No","publication_status":"published","fulldoi":"https://doi.org/10.1007/s00382-022-06337-7","oa_version":"None","date_created":"2022-06-05T22:01:50Z","publication_identifier":{"eissn":["1432-0894"],"issn":["0930-7575"]},"_id":"11434","title":"Role of the eastern equatorial Indian Ocean warming in the Indian summer monsoon rainfall trend","department":[{"_id":"CaMu"}],"date_updated":"2024-10-09T20:53:52Z","intvolume":"        60","page":"427-442","volume":60,"abstract":[{"text":"The Indian summer monsoon rainfall (ISMR) has been declining since the 1950s. However, since 2002 it is reported to have revived. For these observed changes in the ISMR, several explanations have been reported. Among these explanations, however, the role of the eastern equatorial Indian Ocean (EEIO) is missing despite being one of the warmest regions in the Indian Ocean, and monotonously warming. A recent study reported that EEIO warming impacts the rainfall over northern India. Here we report that warming in the EEIO weakens the low-level Indian summer monsoon circulation and reduces ISMR. A warm EEIO drives easterly winds in the Indo–Pacific sector as a Gill response. The warm EEIO also enhances nocturnal convection offshore the western coast of Sumatra. The latent heating associated with the increased convection augments the Gill response and the resultant circulation opposes the monsoon low-level circulation and weakens the seasonal rainfall.","lang":"eng"}],"language":[{"iso":"eng"}],"year":"2023","type":"journal_article","publisher":"Springer Nature"},{"abstract":[{"lang":"eng","text":"In this study we investigate the scaling of precipitation extremes with temperature in the Mediterranean region by assessing against observations the present day and future regional climate simulations performed in the frame of the HyMeX and MED-CORDEX programs. Over the 1979–2008 period, despite differences in quantitative precipitation simulation across the various models, the change in precipitation extremes with respect to temperature is robust and consistent. The spatial variability of the temperature–precipitation extremes relationship displays a hook shape across the Mediterranean, with negative slope at high temperatures and a slope following Clausius–Clapeyron (CC)-scaling at low temperatures. The temperature at which the slope of the temperature–precipitation extreme relation sharply changes (or temperature break), ranges from about 20 °C in the western Mediterranean to <10 °C in Greece. In addition, this slope is always negative in the arid regions of the Mediterranean. The scaling of the simulated precipitation extremes is insensitive to ocean–atmosphere coupling, while it depends very weakly on the resolution at high temperatures for short precipitation accumulation times. In future climate scenario simulations covering the 2070–2100 period, the temperature break shifts to higher temperatures by a value which is on average the mean regional temperature change due to global warming. The slope of the simulated future temperature–precipitation extremes relationship is close to CC-scaling at temperatures below the temperature break, while at high temperatures, the negative slope is close, but somewhat flatter or steeper, than in the current climate depending on the model. Overall, models predict more intense precipitation extremes in the future. Adjusting the temperature–precipitation extremes relationship in the present climate using the CC law and the temperature shift in the future allows the recovery of the temperature–precipitation extremes relationship in the future climate. This implies negligible regional changes of relative humidity in the future despite the large warming and drying over the Mediterranean. This suggests that the Mediterranean Sea is the primary source of moisture which counteracts the drying and warming impacts on relative humidity in parts of the Mediterranean region."}],"page":"1237-1257","volume":51,"date_updated":"2022-01-24T12:40:40Z","intvolume":"        51","extern":"1","type":"journal_article","publisher":"Springer Nature","language":[{"iso":"eng"}],"year":"2018","fulldoi":"https://doi.org/10.1007/s00382-016-3083-x","oa_version":"Published Version","publication_status":"published","article_processing_charge":"No","oa":1,"_id":"9136","title":"Scaling precipitation extremes with temperature in the Mediterranean: Past climate assessment and projection in anthropogenic scenarios","publication_identifier":{"issn":["0930-7575","1432-0894"]},"date_created":"2021-02-15T14:18:53Z","citation":{"ieee":"P. Drobinski <i>et al.</i>, “Scaling precipitation extremes with temperature in the Mediterranean: Past climate assessment and projection in anthropogenic scenarios,” <i>Climate Dynamics</i>, vol. 51, no. 3. Springer Nature, pp. 1237–1257, 2018.","ama":"Drobinski P, Silva ND, Panthou G, et al. Scaling precipitation extremes with temperature in the Mediterranean: Past climate assessment and projection in anthropogenic scenarios. <i>Climate Dynamics</i>. 2018;51(3):1237-1257. doi:<a href=\"https://doi.org/10.1007/s00382-016-3083-x\">10.1007/s00382-016-3083-x</a>","chicago":"Drobinski, Philippe, Nicolas Da Silva, Gérémy Panthou, Sophie Bastin, Caroline J Muller, Bodo Ahrens, Marco Borga, et al. “Scaling Precipitation Extremes with Temperature in the Mediterranean: Past Climate Assessment and Projection in Anthropogenic Scenarios.” <i>Climate Dynamics</i>. Springer Nature, 2018. <a href=\"https://doi.org/10.1007/s00382-016-3083-x\">https://doi.org/10.1007/s00382-016-3083-x</a>.","mla":"Drobinski, Philippe, et al. “Scaling Precipitation Extremes with Temperature in the Mediterranean: Past Climate Assessment and Projection in Anthropogenic Scenarios.” <i>Climate Dynamics</i>, vol. 51, no. 3, Springer Nature, 2018, pp. 1237–57, doi:<a href=\"https://doi.org/10.1007/s00382-016-3083-x\">10.1007/s00382-016-3083-x</a>.","apa":"Drobinski, P., Silva, N. D., Panthou, G., Bastin, S., Muller, C. J., Ahrens, B., … Torma, C. Z. (2018). Scaling precipitation extremes with temperature in the Mediterranean: Past climate assessment and projection in anthropogenic scenarios. <i>Climate Dynamics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00382-016-3083-x\">https://doi.org/10.1007/s00382-016-3083-x</a>","short":"P. Drobinski, N.D. Silva, G. Panthou, S. Bastin, C.J. Muller, B. Ahrens, M. Borga, D. Conte, G. Fosser, F. Giorgi, I. Güttler, V. Kotroni, L. Li, E. Morin, B. Önol, P. Quintana-Segui, R. Romera, C.Z. Torma, Climate Dynamics 51 (2018) 1237–1257.","ista":"Drobinski P, Silva ND, Panthou G, Bastin S, Muller CJ, Ahrens B, Borga M, Conte D, Fosser G, Giorgi F, Güttler I, Kotroni V, Li L, Morin E, Önol B, Quintana-Segui P, Romera R, Torma CZ. 2018. Scaling precipitation extremes with temperature in the Mediterranean: Past climate assessment and projection in anthropogenic scenarios. Climate Dynamics. 51(3), 1237–1257."},"date_published":"2018-08-01T00:00:00Z","article_type":"original","day":"01","keyword":["Atmospheric Science"],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","doi":"10.1007/s00382-016-3083-x","publication":"Climate Dynamics","quality_controlled":"1","author":[{"full_name":"Drobinski, Philippe","first_name":"Philippe","last_name":"Drobinski"},{"last_name":"Silva","first_name":"Nicolas Da","full_name":"Silva, Nicolas Da"},{"full_name":"Panthou, Gérémy","first_name":"Gérémy","last_name":"Panthou"},{"first_name":"Sophie","full_name":"Bastin, Sophie","last_name":"Bastin"},{"last_name":"Muller","orcid":"0000-0001-5836-5350","full_name":"Muller, Caroline J","id":"f978ccb0-3f7f-11eb-b193-b0e2bd13182b","first_name":"Caroline J"},{"last_name":"Ahrens","full_name":"Ahrens, Bodo","first_name":"Bodo"},{"last_name":"Borga","first_name":"Marco","full_name":"Borga, Marco"},{"first_name":"Dario","full_name":"Conte, Dario","last_name":"Conte"},{"first_name":"Giorgia","full_name":"Fosser, Giorgia","last_name":"Fosser"},{"last_name":"Giorgi","full_name":"Giorgi, Filippo","first_name":"Filippo"},{"last_name":"Güttler","full_name":"Güttler, Ivan","first_name":"Ivan"},{"last_name":"Kotroni","first_name":"Vassiliki","full_name":"Kotroni, Vassiliki"},{"first_name":"Laurent","full_name":"Li, Laurent","last_name":"Li"},{"last_name":"Morin","first_name":"Efrat","full_name":"Morin, Efrat"},{"last_name":"Önol","first_name":"Bariş","full_name":"Önol, Bariş"},{"full_name":"Quintana-Segui, Pere","first_name":"Pere","last_name":"Quintana-Segui"},{"last_name":"Romera","first_name":"Raquel","full_name":"Romera, Raquel"},{"full_name":"Torma, Csaba Zsolt","first_name":"Csaba Zsolt","last_name":"Torma"}],"month":"08","status":"public","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1007/s00382-016-3083-x"}],"issue":"3"},{"publication_status":"published","fulldoi":"https://doi.org/10.1007/s00382-012-1627-2","oa_version":"None","article_processing_charge":"No","_id":"22475","title":"Assessment of a stochastic downscaling methodology in generating an ensemble of hourly future climate time series","date_created":"2026-07-27T12:30:23Z","publication_identifier":{"issn":["0930-7575"],"eissn":["1432-0894"]},"page":"1841-1861","volume":40,"abstract":[{"text":"This study extends a stochastic downscaling methodology to generation of an ensemble of hourly time series of meteorological variables that express possible future climate conditions at a point-scale. The stochastic downscaling uses general circulation model (GCM) realizations and an hourly weather generator, the Advanced WEather GENerator (AWE-GEN). Marginal distributions of factors of change are computed for several climate statistics using a Bayesian methodology that can weight GCM realizations based on the model relative performance with respect to a historical climate and a degree of disagreement in projecting future conditions. A Monte Carlo technique is used to sample the factors of change from their respective marginal distributions. As a comparison with traditional approaches, factors of change are also estimated by averaging GCM realizations. With either approach, the derived factors of change are applied to the climate statistics inferred from historical observations to re-evaluate parameters of the weather generator. The re-parameterized generator yields hourly time series of meteorological variables that can be considered to be representative of future climate conditions. In this study, the time series are generated in an ensemble mode to fully reflect the uncertainty of GCM projections, climate stochasticity, as well as uncertainties of the downscaling procedure. Applications of the methodology in reproducing future climate conditions for the periods of 2000–2009, 2046–2065 and 2081–2100, using the period of 1962–1992 as the historical baseline are discussed for the location of Firenze (Italy). The inferences of the methodology for the period of 2000–2009 are tested against observations to assess reliability of the stochastic downscaling procedure in reproducing statistics of meteorological variables at different time scales.","lang":"eng"}],"extern":"1","intvolume":"        40","OA_type":"closed access","date_updated":"2026-08-12T14:05:37Z","language":[{"iso":"eng"}],"year":"2013","type":"journal_article","publisher":"Springer Nature","article_type":"original","day":"01","doi":"10.1007/s00382-012-1627-2","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","keyword":["Stochastic downscaling","Weather generator","Uncertainty assessment","Firenze","Italy"],"quality_controlled":"1","publication":"Climate Dynamics","author":[{"last_name":"Fatichi","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","full_name":"Fatichi, Simone","first_name":"Simone"},{"full_name":"Ivanov, V. Y.","first_name":"V. Y.","last_name":"Ivanov"},{"last_name":"Caporali","first_name":"E.","full_name":"Caporali, E."}],"status":"public","month":"04","citation":{"ieee":"S. Fatichi, V. Y. Ivanov, and E. Caporali, “Assessment of a stochastic downscaling methodology in generating an ensemble of hourly future climate time series,” <i>Climate Dynamics</i>, vol. 40. Springer Nature, pp. 1841–1861, 2013.","ama":"Fatichi S, Ivanov VY, Caporali E. Assessment of a stochastic downscaling methodology in generating an ensemble of hourly future climate time series. <i>Climate Dynamics</i>. 2013;40:1841-1861. doi:<a href=\"https://doi.org/10.1007/s00382-012-1627-2\">10.1007/s00382-012-1627-2</a>","chicago":"Fatichi, Simone, V. Y. Ivanov, and E. Caporali. “Assessment of a Stochastic Downscaling Methodology in Generating an Ensemble of Hourly Future Climate Time Series.” <i>Climate Dynamics</i>. Springer Nature, 2013. <a href=\"https://doi.org/10.1007/s00382-012-1627-2\">https://doi.org/10.1007/s00382-012-1627-2</a>.","mla":"Fatichi, Simone, et al. “Assessment of a Stochastic Downscaling Methodology in Generating an Ensemble of Hourly Future Climate Time Series.” <i>Climate Dynamics</i>, vol. 40, Springer Nature, 2013, pp. 1841–61, doi:<a href=\"https://doi.org/10.1007/s00382-012-1627-2\">10.1007/s00382-012-1627-2</a>.","apa":"Fatichi, S., Ivanov, V. Y., &#38; Caporali, E. (2013). Assessment of a stochastic downscaling methodology in generating an ensemble of hourly future climate time series. <i>Climate Dynamics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00382-012-1627-2\">https://doi.org/10.1007/s00382-012-1627-2</a>","short":"S. Fatichi, V.Y. Ivanov, E. Caporali, Climate Dynamics 40 (2013) 1841–1861.","ista":"Fatichi S, Ivanov VY, Caporali E. 2013. Assessment of a stochastic downscaling methodology in generating an ensemble of hourly future climate time series. Climate Dynamics. 40, 1841–1861."},"scopus_import":"1","das_tickbox":"1","date_published":"2013-04-01T00:00:00Z"}]