2012/01/25 An Editor's Award for the Journal of Climate, "For providing a thoughtful and decisive review of a difficult paper on short notice", 米国気象学会(AMS), Jan. 2012
研究業績
査読有り(JAMSTECでの成果)
Ingo Richter, Jayanthi V Ratnam, Patrick Martineau, Pascal Oettli, Takeshi Doi, Tomomichi Ogata, Takahito Kataoka, François Counillon. A Simple Statistical Postprocessing Scheme for Enhancing the Skill of Seasonal SST Predictions in the Tropics. MONTHLY WEATHER REVIEW, 2024, 152, 4, doi: 10.1175/MWR-D-23-0266.1
Takeshi Doi, Swadhin K. Behera, and Toshio Yamagata. Seasonal predictability of the extreme Pakistani rainfall of 2022 possible contributions from the northern coastal Arabian Sea temperature. npj Climate and Atmospheric Science, 2024, 7, doi: 10.1038/s41612-023-00557-2
Jiye Wu, Yue Li, Jing-Jia Luo, Yi Zhang, Takeshi Doi & Toshio Yamagata. Prediction and predictability of boreal winter MJO using a multi-member subseasonal to seasonal forecast system of NUIST (NUIST CFS 1.1). CLIMATE DYNAMICS, 2023, doi: 10.1007/s00382-023-07047-4
Jiaying He, Takeshi Doi, Swadhin Behera, Jing-Jia Luo, Toshio Yamagata. Predictability of Extremely Pluvial Winters Over the Yangtze–Huai River Basin in China. JOURNAL OF GEOPHYSICAL RESEARCH - Atmospheres, 2023, 128, doi: 10.1029/2023JD039039
Kalpesh Ravindra Patil, Takeshi Doi & Swadhin K. Behera. Predicting extreme floods and droughts in East Africa using a deep learning approach. npj Climate and Atmospheric Science, 2023, 6, doi: 10.1038/s41612-023-00435-x
Patil Kalpesh Ravindra, Doi Takeshi, Jayanthi Venkata Ratnam and Behera Swadhin. Deep learning for skillful long-lead ENSO forecasts. Frontiers in Climate, 2023, 4, p. 1-18, doi: 10.3389/fclim.2022.1058677
Jiaying He, Jing-Jia Luo, Takeshi Doi, Shanshan Liu, Shaolei Tang & Xiang Wang . Understanding extremely pluvial winters over Yangtze–Huia river basin in China: their complexity and tropical oceans influences. CLIMATE DYNAMICS, 2022, doi: 10.1007/s00382-022-06614-5
Takeshi Doi, Swadhin K. Behera, Toshio Yamagata. On the Predictability of the Extreme Drought in East Africa During the Short Rains Season. GEOPHYSICAL RESEARCH LETTERS, 2022, 49, doi: 10.1029/2022GL100905
Takeshi Doi, Masami Nonaka, Swadhin K. Behera. Can signal-to-noise ratio indicate prediction skill? Based on skill assessment of 1-month lead prediction of monthly temperature anomaly over Japan. Frontiers in Climate, 2022, 4, doi: 10.3389/fclim.2022.887782
J.V. Ratnam, Takeshi Doi, Ingo Richter, Pascal Oettli, Masami Nonaka and Swadhin K. Behera. Using Selected Members of a Large Ensemble to Improve Prediction of Surface Air Temperature Anomalies Over Japan in the Winter Months From Mid-Autumn. Frontiers in Climate, 2022, 4, doi: 10.3389/fclim.2022.919084
Takeshi Doi, Swadhin Behera. Impacts of Interannual Variations of Chlorophyll on Seasonal Predictions of the Tropical Pacific. Frontiers in Climate, 2022, 4, doi: 10.3389/fclim.2022.868594
Richter Ingo, Tokinaga Hiroki, Kosaka Yu, Doi Takeshi, Kataoka Takahito. Revisiting the tropical Atlantic influence on El Niño-Southern Oscillation. JOURNAL OF CLIMATE, 2021, 34, 21, p. 8533-8548, doi: 10.1175/JCLI-D-21-0088.1
Jiaqing Xue, Takeshi Doi, Jing-Jia Luo, Chaoxia Yuan, Toshio Yamagata. Predictability of the Chile Niño/Niña. GEOPHYSICAL RESEARCH LETTERS, 2021, 48, 21, doi: 10.1029/2021GL095309
Maheswar Pradhan, Suryachandra A. Rao, Takeshi Doi, Prasanth A. Pillai, Ankur Srivastava, Swadhin Behera. Comparison of MMCFS and SINTEX-F2 for seasonal prediction of Indian summer monsoon rainfall. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2021, doi: 10.1002/joc.7169
Xinyu Lu, Chaoxia Yuan, Mengzhou Yang, Takeshi Doi, Md Wahiduzzaman, Jing-Jia Luo. Prediction of summer extreme hot days in China using the SINTEX-F2. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2021, 41, 10, p. 4966-4976, doi: 10.1002/joc.7110
J.V. Ratnam, Takeshi Doi, Yushi Morioka, Pascal Oettli, Masami Nonaka, Swadhin K. Beheera. Improving predictions of surface air temperature anomalies over Japan by Selective Ensemble Mean technique. WEATHER AND FORECASTING, 2020, 36, 1, doi: 10.1175/WAF-D-20-0109.1
Takeshi Doi, Masami Nonaka and Swadhin Behera. Skill Assessment of Seasonal-to-Interannual Prediction of Sea Level Anomaly in the North Pacific Based on the SINTEX-F Climate Model. Frontiers in marine science, 2020, 7, doi: 10.3389/fmars.2020.546587
Takeshi Doi, Swadhin Behera, Toshio Yamagata. Wintertime Impacts of the 2019 Super IOD on East Asia. GEOPHYSICAL RESEARCH LETTERS, 2020, 47, 18, doi: 10.1029/2020GL089456
Takeshi Doi, Gen Sakurai, Iizumi Toshicica. Seasonal predictability of four major crop yields worldwide by a hybrid system of dynamical climate prediction and eco-physiological crop-growth simulation. Frontiers in Sustainable Food Systems, 2020, 4, doi: 10.3389/fsufs.2020.00084
Takeshi Doi, Swadhin K. Behera, Toshio Yamagata. Predictability of the super IOD event in 2019 and its link with El Niño Modoki. GEOPHYSICAL RESEARCH LETTERS, 2020, 47, 7, doi: 10.1029/2019GL086713
Doi, T., A. Storto, T. Fukuoka, H. Suganuma, and K. Sato. Impacts of temperature measurements from sea turtles on seasonal prediction around the Arafura Sea. Frontiers in marine science, 2019, 6, doi: 10.3389/fmars.2019.00719
Yoonhee Kim, J. V. Ratnam, Takeshi Doi, Yushi Morioka, Swadhin Behera, Ataru Tsuzuki, Noboru Minakawa, Neville Sweijd, Philip Kruger, Rajendra Maharaj, Chisato Chrissy Imai, Chris Fook Sheng Ng, Yeonseung Chung and Masahiro Hashizume. Malaria predictions based on seasonal climate forecasts in South Africa: A time series distributed lag nonlinear model. Scientific Reports, 2019, 9, doi: 10.1038/s41598-019-53838-3
Yitian Qian, Hiroyuki Murakami, Masuo Nakano, Pang-Chi Hsu,Thomas L. Delworth, Sarah B. Kapnick, V. Rammaswamy,Takashi Mochizuki, Yushi Morioka, Takeshi Doi, Takahito Kataoka, Tomoe Nasuno, Kohei Yoshida. On the Mechanisms of the Active 2018 Tropical Cyclone Season in the North Pacific. GEOPHYSICAL RESEARCH LETTERS, 2019, 46, 21, p. 12293-12302, doi: 10.1029/2019GL084566
J. V. Ratnam, H. A. Dijkstra, Takeshi Doi, Yushi Morioka, Masami Nonaka and Swadhin K. Behera. Improving seasonal forecasts of air temperature using a genetic algorithm. Scientific Reports, 2019, 9, doi: 10.1038/s41598-019-49281-z
J. C. Hermes, Y. Masumoto, L. M. Beal, M. K. Roxy, J. Vialard, M. Andres, H. Annamalai, S. Behera, N. D’Adamo, T. Doi, M. Feng, W. Han, N. Hardman-Mountford, H. Hendon, R. Hood, S. Kido, C. Lee, T. Lee, M. Lengaigne, J. Li, R. Lumpkin, K. N. Navaneeth, B. Milligan, M. J. McPhaden, M. Ravichandran, T. Shinoda, A. Singh, B. Sloyan, P. G. Strutton, A. C. Subramanian, S. Thurston, T. Tozuka, C. C. Ummenhofer, A. S. Unnikrishnan, R. Venkatesan, D. Wang, J. Wiggert, L. Yu and W. Yu. A sustained ocean observing system in the Indian Ocean for climate related scientific knowledge and societal needs. Frontiers in marine science, 2019, 28, doi: 10.3389/fmars.2019.00355
Ingo Richter, Takeshi Doi. Estimating the role of SST in atmospheric surface wind variability over the tropical Atlantic and Pacific. JOURNAL OF CLIMATE, 2019, 32, 13, p. 3899-3915, doi: 10.1175/JCLI-D-18-0468.1
C. Kodama, A. Kuwano-Yoshida, S. Watanabe, T. Doi, H. Kashimura, and T. Nasuno. JAMSTEC Model Intercomparision Project (JMIP). JAMSTEC Report of Research and Development, 2019, 28, p. 5-34, doi: 10.5918/jamstecr.28.5
Yushi Morioka, Takeshi Doi, Doroteaciro Iovino, Simona Masina, Swadhin K. Behera. Role of sea-ice initialization in climate predictability over the Weddell Sea. Scientific Reports, 2019, 9, doi: 10.1038/s41598-019-39421-w
J.V. Ratnam, Takeshi Doi, Swadhin Behera. Improving austral summer precipitation forecasts of SINTEX‐F2 coupled ocean-atmosphere general circulation model over southern Africa by simple bias correction techniques. Atmospheric Science Letters, 2019, 20, 3, doi: 10.1002/asl.885
Takeshi Doi, Swadhin Behera, Toshio Yamagata. Merits of a 108-member ensemble system in ENSO and IOD predictions. JOURNAL OF CLIMATE, 2019, 32, 3, p. 957-972, doi: 10.1175/JCLI-D-18-0193.1
Miyazawa, Y., A. Kuwano-Yoshida, T. Doi, H. Nishikawa, T. Narazaki, T. Fukuoka, and K. Sato. Temperature profiling measurements by sea turtles improve ocean state estimation in the Kuroshio-Oyashio Confluence region. OCEAN DYNAMICS, 2018, 69, 2, p. 267-282, doi: 10.1007/s10236-018-1238-5
J.V. Ratnam, Takeshi Doi, Willem A. Landman, Swadhin K. Behera. Seasonal forecasting of onset of summer rains over South Africa. Journal of Applied Meteorology and Climatology, 2018, 57, 12, p. 2697-2711, doi: 10.1175/JAMC-D-18-0067.1
Behera, S. K., Y. Morioka, T. Ikeda, T. Doi, J. Ratnam, M. Nonaka, A. Tsuzuki, C. Imai, Y. Kim, M. Hashizume, S. Iwami, P. Kruger, R. Maharaj, N. Sweijd and N. Minakawa. Malaria incidences in South Africa linked to a climate mode in southwestern Indian Ocean. Environmental Development, 2018, 27, p. 47-57, doi: 10.1016/j.envdev.2018.07.002
Yushi Morioka, Takeshi Doi, Andrea Storto, Simona Masina, Swadhin K. Behera. Role of subsurface ocean in decadal climate predictability over the South Atlantic. Scientific Reports, 2018, 8, doi: 10.1038/s41598-018-26899-z
Tomomichi Ogata, Takeshi Doi, Yushi Morioka, Swadhin Behera. Mid-latitude source of the ENSO-spread in SINTEX-F ensemble predictions. CLIMATE DYNAMICS, 2018, doi: https://doi.org/10.1007/s00382-018-4280-6
土井威志. 熱帯と沿岸域の湧昇現象の変動とその予測の研究. 海の研究, 2018, 27, 3, p. 141-154, doi: 10.5928/kaiyou.27.3_141
Yushi Morioka, Takeshi Doi, Swadhin K. Behera. Decadal climate predictability in the southern Indian Ocean captured by SINTEX-F using a simple SST-nudging scheme. Scientific Reports, 2018, 8, doi: 10.1038/s41598-018-19349-3
J. V. Ratnam, Swadhin K. Behera, R. Krishnan, Takeshi Doi, Satyaban B. Ratna. Sensitivity of Indian summer monsoon simulation to physical parameterization schemes in the WRF model. CLIMATE RESEARCH, 2017, 74, 1, p. 43-66, doi: https://doi.org/10.3354/cr01484
Doi, T., A. Storto, S.K. Behera, A. Navarra, and T. Yamagata. Improved Prediction of the Indian Ocean Dipole Mode by Use of Subsurface Ocean Observations.. JOURNAL OF CLIMATE, 2017, 30, p. 7953-7970, doi: https://doi.org/10.1175/JCLI-D-16-0915.1
Richter Ingo, Doi Takeshi, Behera, Keenlyside. On the link between mean state biases and prediction skill in the tropics: an atmospheric perspective. CLIMATE DYNAMICS, 2017, doi: 10.1007/s00382-017-3809-4
J.V.Ratnam, Takeshi Doi and Swadhin K. Behera. Dynamical downscaling of SINTEX-F2v CGCM seasonal retrospective austral summer forecasts over Australia. Journal of Climate, 2017, doi: http://dx.doi.org/10.1175/JCLI-D-16-0585.1
T. Doi, S. K. Behera, and T. Yamagata. Improved seasonal prediction using the SINTEX-F2 coupled model. J. Adv. Model. Earth Syst., 2016, doi: 10.1002/2016MS000744
Tanizaki C., T. Tozuka, T. Doi, and T. Yamagata. Relative importance of the processes contributing to the development of SST anomalies in the eastern pole of the Indian Ocean Dipole and its implication for predictability. Climate Dynamics, 2016, doi: 10.1007/s00382-016-3382-2
Ingo Richter, Shang-Ping Xie, Yushi Morioka, Takeshi Doi, Bunmei Taguchi, Swadhin Behera. Phase locking of equatorial Atlantic variability through seasonal migration of the ITCZ. CLIMATE DYNAMICS, 2016, 48, 11-12, p. 3615-3629, doi: 10.1007/s00382-016-3289-y
Chen L., T. Li, S. K, Behera, T. Doi. Distinctive precursory air-sea signals between regular and super El Ninos. Advances in Atmospheric Sciences, 2016, 33, p. 996-1004
J.V.Ratnam, Swadhin K. Behera, Takeshi Doi, Satyaban B. Ratna and Willem A. Landman. Improvements to the WRF seasonal hindcasts over South Africa by bias correcting the driving SINTEX-F2v CGCM fields. Journal of Climate, 2016, doi: http://dx.doi.org/10.1175/JCLI-D-15-0435.1
TAKESHI DOI, CHAOXIA YUAN, SWADHIN K. BEHERA, AND TOSHIO YAMAGATA. Predictability of the California Nino/Nina. J. Climate, 2015, 28, p. 7237-7249, doi: 10.1175/JCLI-D-15-0112.1
DOI TAKESHI(Application Laboratory (APL)) , BEHERA SWADHIN K.(Application Laboratory (APL)) , YAMAGATA TOSHIO(Application Laboratory (APL)). An interdecadal regime shift in rainfall predictability related to the Ningaloo Nino in the late 1990s. J. Geophys. Res. Oceans, 2015, 120, doi: 10.1002/2014JC010562.
Wataru Sasaki , Takeshi Doi, Kelvin J. Richards, and Yukio Masumoto. Impact of the equatorial Atlantic sea surface temperature on the tropical Pacific in a CGCM. Climate Dynamics, 2014, 43, 9, p. 2359-2552, doi: 10.1007/s00382-014-2072-1
Richter, I., S. K. Behera, T. Doi, B. Taguchi, Y. Masumoto, and S.-P. Xie. What controls equatorial Atlantic winds in boreal spring?. Climate Dynamics, 2014, 43, 11, p. 3091-3104, doi: 10.1007/s00382-014-2170-0
Wataru Sasaki , Takeshi Doi, Kelvin J. Richards, Yukio Masumoto. The influence of ENSO on the equatorial Atlantic precipitation through the Walker circulation in a CGCM. Climate Dynamics, 2014, 44, 1, p. 191-202, doi: 10.1007/s00382-014-2133-5
DOI TAKESHI , BEHERA SWADHIN K. , YAMAGATA TOSHIO. Predictability of the Ningaloo Nino/Nina. Scientific Reports, 2013, 3, doi: 10.1038/srep02892
DOI TAKESHI , Gabriel Vecchi , Antohony Rosati , Thomas Delworth. Response to CO2 doubling of the Atlantic Hurricane Main Development Region in a High-Resolution Climate Model.. J.Climate, 2013, 26, p. 4322-4334
Equatorial Atlantic variability and its relation to mean state biases in CMIP5. Climate Dynamics, 2012, doi: doi:10.1007/s00382-012-1624-5
図書(JAMSTECでの成果)
Swadhin Behera, Takeshi Doi, J Venkata Ratnam. Air–sea interactions in tropical Indian Ocean: The Indian Ocean Dipole. Tropical and Extratropical Air-Sea Interactions/Elsevier, 2020, p. 115-139, doi: 10.1016/B978-0-12-818156-0.00001-0
Swadhin Behera, Takeshi Doi, Jing-Jia Luo. 3 - Air–sea interaction in tropical Pacific: The dynamics of El Niño/Southern Oscillation. Tropical and Extratropical Air-Sea Interactions/Elsevier, 2020, p. 61-92, doi: 10.1016/B978-0-12-818156-0.00005-8
Ingo Richter, P. Chang, Z. Xu, T. Doi, T. Kataoka, M. Nagura, Pascal Oettli, S. de Szoeke, and T. Tozuka. An overview of coupled GCM performance in the tropics.. Indo-Pacific Climate Variability and Predictability, World Scientific Series on Asia-Pacific Weather and Climate, T. Yamagata and S. K. Behera, eds., 2016, 7, 8, p. 213-263, doi: doi:10.1142/9664
2020/10-2021/12 Associate Editor of "Predictions and Projections", Frontiers in Climate https://www.frontiersin.org/journals/climate/sections/predictions-and-projections#editorial-board
2020/08-2021/08 Asia Oceania Geosciences Society (AOGS), OS Section Secretaries