Swadhin K. Behera 研究室

主宰者：Swadhin K. Behera

海洋研究開発機構

AI 要約（直近 5 年の研究成果）

Behera研究室は、熱帯海洋の変動と大気・陸域現象の相互作用を理解し、その予測精度を向上させることに取り組んでいます。具体的には、エルニーニョ現象やインド洋の海水温度変動といった大規模な気候パターンが、季節スケールでのモンスーン降水や気温などの地域的な気象現象にどのように影響を及ぼすかを調査しています。また、熱帯低気圧や海氷変動のような極端現象の発生メカニズムについても研究を進めています。これらの研究課題に対して、様々なアプローチを組み合わせて取り組んでいます。従来の力学的シミュレーション（気象予測モデルなど）に加えて、機械学習や深層学習といった新しい解析手法を積極的に導入しています。特に、複数の予測モデルの結果を統合的に活用したり、衛星観測データを取り込んだりして、予報の精度改善を図っています。例えば、人工知能を用いてモンスーン降水や水温変動を数ヶ月先まで予測し、その成功例を検証しています。これらの研究成果は、農業や水資源管理、防災対策といった社会的課題への応用可能性を持っています。モンスーン降水の予測精度向上はインドの食糧安全保障に直結し、海氷変動の理解は気候変動の広がりを明らかにし、疾病予測への応用は公衆衛生対策を支援するなど、基礎研究と実践的課題が結びついた研究体系が構築されています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（58 件）

[2026] Prediction of Rapid Intensification, Eyewall Replacement Cycle, and Inner-Core Structure of ESCS Phailin
DOI: https://doi.org/10.1175/waf-d-25-0023.1
[2026] Weakening of Regional Hadley Circulation Delays Indian Summer Monsoon Rainfall Onset
DOI: https://doi.org/10.1029/2025gl120701
[2026] A simple statistical technique to improve seasonal predictions of northeast monsoon rainfall over India using selective ensemble mean
DOI: https://doi.org/10.1038/s41598-026-49693-8
[2026] Digital twin of the ocean as a catalyst for blue economy innovation
DOI: https://doi.org/10.1093/nsr/nwag012
[2025] Towards extended seasonal forecasting of cholera-conducive coastal conditions in the Bengal delta
DOI: https://doi.org/10.3389/fenvs.2025.1680090
[2025] Skillful prediction of Indian Ocean Dipole index using machine learning models
DOI: https://doi.org/10.1016/j.acags.2025.100228
[2025] Impacts of the atmospheric mean state on austral early-winter Indian Ocean teleconnections with Chile in CMIP5/CMIP6 models
DOI: https://doi.org/10.1016/j.atmosres.2025.108509
[2025] An Artificial Intelligence‐Based Framework for Modeling Vegetation Photosynthesis Anomalies in India Corresponding to Tropical Oceanic Variability
DOI: https://doi.org/10.1111/gcb.70636
[2025] Study of accumulated cyclone energy and associated drivers affecting tropical cyclone activities over the North Indian Ocean during the pre- and post monsoon season
DOI: https://doi.org/10.1007/s11069-025-07393-y
[2025] Enhancing Indian summer monsoon prediction: Deep learning approach for skillful long-lead forecasts of rainfall
DOI: https://doi.org/10.1016/j.acags.2025.100257

続きを表示（残り 48 件）

[2024] Understanding the impact of climate change on extreme events
DOI: https://doi.org/10.3389/fsci.2024.1433766
[2024] Artificial intelligence predicts normal summer monsoon rainfall for India in 2023
DOI: https://doi.org/10.1038/s41598-023-44284-3
[2024] Antarctic sea ice multidecadal variability triggered by Southern Annular Mode and deep convection
DOI: https://doi.org/10.1038/s43247-024-01783-z
[2024] Seasonal amplification of subweekly temperature variability over extratropical Southern Hemisphere land masses
DOI: https://doi.org/10.1038/s41612-024-00804-0
[2024] Anatomy of the 2022 Scorching Summer in the Yangtze River Basin Using the SINTEX‐F2 Seasonal Prediction System
DOI: https://doi.org/10.1029/2024gl109554
[2024] Role of anthropogenic forcing in Antarctic sea ice variability simulated in climate models
DOI: https://doi.org/10.1038/s41467-024-54485-7
[2024] Emerging threats from climate change on our oceans demand proactive action
DOI: https://doi.org/10.1007/s11625-024-01605-3
[2024] Predicting Monthly Precipitation in the Wet Season over Saudi Arabia Using a Seasonal Prediction System
DOI: https://doi.org/10.1175/waf-d-24-0062.1
[2024] Skillful prediction of the maximum air temperature over India using a seasonal prediction system
DOI: https://doi.org/10.1007/s00382-024-07422-9
[2024] Revisiting the Role of Atmospheric Initial Signals in Predicting ENSO
DOI: https://doi.org/10.1175/jcli-d-23-0702.1
[2024] Southern Hemisphere Circumpolar Wavenumber‐4 Pattern Simulated in SINTEX‐F2 Coupled Model
DOI: https://doi.org/10.1029/2023jc020801
[2024] Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction
DOI: https://doi.org/10.1038/s41612-024-00679-1
[2024] Tropical ocean teleconnections with gross primary productivity of monsoon-Asia
DOI: https://doi.org/10.1016/j.scitotenv.2024.173337
[2024] Indian Ocean Dipole Changes During the Last Interglacial Modulated by the Mean Oceanic Climatology
DOI: https://doi.org/10.1029/2023gl106153
[2024] Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses
DOI: https://doi.org/10.5194/wcd-5-1-2024
[2024] Seasonal predictability of the extreme Pakistani rainfall of 2022 possible contributions from the northern coastal Arabian Sea temperature
DOI: https://doi.org/10.1038/s41612-023-00557-2
[2023] Multidecadal variability and predictability of Antarctic sea ice in the GFDL SPEAR_LO model
DOI: https://doi.org/10.5194/tc-17-5219-2023
[2023] Predicting maximum temperatures over India 10-days ahead using machine learning models
DOI: https://doi.org/10.1038/s41598-023-44286-1
[2023] Harnessing AI and computing to advance climate modelling and prediction
DOI: https://doi.org/10.1038/s41558-023-01769-3
[2023] Significant Inverse Influence of Tropical Indian Ocean SST on SIF of Indian Vegetation during the Summer Monsoon Onset Phase
DOI: https://doi.org/10.3390/rs15071756
[2023] Predictability of Extremely Pluvial Winters Over the Yangtze–Huai River Basin in China
DOI: https://doi.org/10.1029/2023jd039039
[2023] Predicting extreme floods and droughts in East Africa using a deep learning approach
DOI: https://doi.org/10.1038/s41612-023-00435-x
[2023] Tropical Pacific Influence on Summertime South African High‐Frequency Temperature Variability and Heat Waves
DOI: https://doi.org/10.1029/2022gl101983
[2023] Deep learning for skillful long-lead ENSO forecasts
DOI: https://doi.org/10.3389/fclim.2022.1058677
[2023] Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model
DOI: https://doi.org/10.1038/s41598-023-50176-3
[2022] Decadal Variability of Southern Subtropical SST Wavenumber‐4 Pattern and Its Impact
DOI: https://doi.org/10.1029/2022gl099046
[2022] Using Selected Members of a Large Ensemble to Improve Prediction of Surface Air Temperature Anomalies Over Japan in the Winter Months From Mid-Autumn
DOI: https://doi.org/10.3389/fclim.2022.919084
[2022] Impacts of Interannual Variations of Chlorophyll on Seasonal Predictions of the Tropical Pacific
DOI: https://doi.org/10.3389/fclim.2022.868594
[2022] Unraveling Intricacies of Monsoon Attributes in Homogenous Monsoon Regions of India
DOI: https://doi.org/10.3389/feart.2022.794634
[2022] Combining Dynamical and Statistical Modeling to Improve the Prediction of Surface Air Temperatures 2 Months in Advance: A Hybrid Approach
DOI: https://doi.org/10.3389/fclim.2022.862707
[2022] On the Predictability of the Extreme Drought in East Africa During the Short Rains Season
DOI: https://doi.org/10.1029/2022gl100905
[2022] An urgent need for COP27: confronting converging crises
DOI: https://doi.org/10.1007/s11625-022-01253-5
[2022] What Mainly Drives the Interannual Climate Variability Over the Barents‐Kara Seas in Boreal Early Autumn?
DOI: https://doi.org/10.1029/2021jd036216
[2022] The Spatio-Temporal Onset Characteristics of Indian Summer Monsoon Rainfall and Their Relationship with Climate Indices
DOI: https://doi.org/10.3390/atmos13101581
[2022] Can signal-to-noise ratio indicate prediction skill? Based on skill assessment of 1-month lead prediction of monthly temperature anomaly over Japan
DOI: https://doi.org/10.3389/fclim.2022.887782
[2022] Decadal Sea Ice Prediction in the West Antarctic Seas with Ocean and Sea Ice Initializations
DOI: https://doi.org/10.1038/s43247-022-00529-z
[2022] Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning
DOI: https://doi.org/10.3389/fpubh.2022.962377
[2021] Winter Surface Air Temperature Prediction over Japan Using Artificial Neural Networks
DOI: https://doi.org/10.1175/waf-d-20-0218.1
[2021] Long-term variability of Sea Surface Temperature in the Tropical Indian Ocean in relation to climate change and variability
DOI: https://doi.org/10.1016/j.gloplacha.2021.103436
[2021] Global wave number-4 pattern in the southern subtropical sea surface temperature
DOI: https://doi.org/10.1038/s41598-020-80492-x
[2021] Machine Learning for Weather and Climate: Predictions and Applications III Poster
[2021] Origin and dynamics of global atmospheric wavenumber-4 in the Southern mid-latitude during austral summer
DOI: https://doi.org/10.1007/s00382-021-06040-z
[2021] The Indo-Pacific climate dynamics and teleconnections with a special emphasis on the Indian summer monsoon rainfall
DOI: https://doi.org/10.54302/mausam.v70i1.169
[2021] Addressing our planetary crisis
DOI: https://doi.org/10.1007/s11625-021-01059-x
[2021] Climate Precursors of Satellite Water Marker Index for Spring Cholera Outbreak in Northern Bay of Bengal Coastal Regions
DOI: https://doi.org/10.3390/ijerph181910201
[2021] Remote and Local Processes Controlling Decadal Sea Ice Variability in the Weddell Sea
DOI: https://doi.org/10.1029/2020jc017036
[2021] Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization
DOI: https://doi.org/10.1038/s41598-021-91042-4
[2021] Comparison of <scp>MMCFS</scp> and <scp>SINTEX‐F2</scp> for seasonal prediction of Indian summer monsoon rainfall
DOI: https://doi.org/10.1002/joc.7169

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（58 件）

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