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Environmental Sciences
China
2023

D-Index & Metrics

Environmental Sciences

D-Index
64
Citations
14601
World Ranking
2326
National Ranking
234

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in China Leader Award

Overview

In-Sik Kang is affiliated with the Second Institute of Oceanography in China and has contributed extensively to the fields of Earth and Planetary Sciences as well as Environmental Science. Their research spans various subfields including Global and Planetary Change, Oceanography, Atmospheric Science, Computer Vision and Pattern Recognition, and Information Systems and Management.

The scientist's main research topics involve Climate variability and models, Oceanographic and Atmospheric Processes, Meteorological Phenomena and Simulations, Arctic and Antarctic ice dynamics, Scientific Computing and Data Management, Distributed and Parallel Computing Systems, and Environmental and Agricultural Sciences.

Frequent publication venues where Kang's work appears include the Journal of Climate, npj Climate and Atmospheric Science, Proceedings of the National Academy of Sciences, Nature Geoscience, and Earth System Science Data.

  • Journal of Climate
  • npj Climate and Atmospheric Science
  • Proceedings of the National Academy of Sciences
  • Nature Geoscience
  • Earth system science data

Kang has collaborated frequently with several researchers, among them:

  • Sarah M. Kang
  • Yue Yu
  • Paulo Ceppi
  • Fred Kucharski
  • Saroj K. Mishra

Recent notable papers authored or co-authored by In-Sik Kang include:

  • Global impacts of recent Southern Ocean cooling, 2023, Proceedings of the National Academy of Sciences
  • Separating the Indian and Pacific Ocean Impacts on the Euro-Atlantic Response to ENSO and Its Transition from Early to Late Winter, 2020, Journal of Climate
  • Recent global climate feedback controlled by Southern Ocean cooling, 2023, Nature Geoscience
  • Atlantic Ocean influence on Middle East summer surface air temperature, 2020, npj Climate and Atmospheric Science
  • Earth Virtualization Engines (EVE), 2024, Earth system science data

Best Publications

  • The Asian Summer Monsoon: An Intercomparison of CMIP5 vs. CMIP3 Simulations of the Late 20th Century

    K. R. Sperber;H. Annamalai;I. Kang;A. Kitoh

  • Fundamental challenge in simulation and prediction of summer monsoon rainfall

    Bin Wang;Qinghua Ding;Xiouhua Fu;In-Sik Kang

  • Current status of ENSO prediction skill in coupled ocean-atmosphere models

    Emilia K. Jin;James L. Kinter;B. Wang;C.-K. Park

  • Real-time multivariate indices for the boreal summer intraseasonal oscillation over the Asian summer monsoon region

    June Yi Lee;Bin Wang;Matthew C. Wheeler;Xiouhua Fu

  • Intercomparison of the climatological variations of Asian summer monsoon precipitation simulated by 10 GCMs

    I.-S. Kang;K. Jin;B. Wang;K.-M. Lau

  • Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980–2004)

    Bin Wang;June Yi Lee;In Sik Kang;J. Shukla

  • MJO Simulation Diagnostics

    D Waliser;K Sperber;H Hendon;D Kim

  • Ensemble Simulations of Asian–Australian Monsoon Variability by 11 AGCMs*

    Bin Wang;In-Sik Kang;June-Yi Lee

  • Application of MJO Simulation Diagnostics to Climate Models

    D. Kim;K. Sperber;W. Stern;D. Waliser

  • Interactive Feedback between ENSO and the Indian Ocean

    Jong-Seong Kug;In-Sik Kang

  • AGCM simulations of intraseasonal variability associated with the Asian summer monsoon

    D. E. Waliser;K. Jin;I.-S. Kang;W. F. Stern

  • Western tropical Pacific multidecadal variability forced by the Atlantic multidecadal oscillation.

    Cheng Sun;Fred Kucharski;Jianping Li;Fei-Fei Jin

  • El Niño and La Niña sea surface temperature anomalies: Asymmetry characteristics associated with their wind stress anomalies

    In-Sik Kang;Jong-Seong Kug

  • Potential Predictability of Summer Mean Precipitation in a Dynamical Seasonal Prediction System with Systematic Error Correction

    In-Sik Kang;June-Yi Lee;Chung-Kyu Park

  • Principal Modes of Climatological Seasonal and Intraseasonal Variations of the Asian Summer Monsoon

    In-Sik Kang;Chang-Hoi Ho;Young-Kwon Lim;K. M. Lau

  • A Systematic Relationship between Intraseasonal Variability and Mean State Bias in AGCM Simulations

    Daehyun Kim;Adam H. Sobel;Eric D. Maloney;Dargan M. W. Frierson

  • MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis

    Min-Seop Ahn;Daehyun Kim;Kenneth R. Sperber;In-Sik Kang;In-Sik Kang

  • How are seasonal prediction skills related to models’ performance on mean state and annual cycle?

    June-Yi Lee;Bin Wang;I.-S. Kang;J. Shukla

  • Role of the ENSO–Indian Ocean coupling on ENSO variability in a coupled GCM

    Jong Seong Kug;Tim Li;Soon Il An;In Sik Kang

  • How accurately do coupled climate models predict the leading modes of Asian-Australian monsoon interannual variability?

    Bin Wang;June-Yi Lee;I.-S. Kang;J. Shukla

  • CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models

    Minghua Zhang;Christopher S. Bretherton;Peter N. Blossey;Phillip H. Austin

Frequent Co-Authors

Jong-Seong Kug
Jong-Seong Kug Seoul National University
Fred Kucharski
Fred Kucharski International Centre for Theoretical Physics
Fei-Fei Jin
Fei-Fei Jin University of Hawaii at Manoa
Soon-Il An
Soon-Il An Yonsei University
June-Yi Lee
June-Yi Lee Pusan National University
Daehyun Kim
Daehyun Kim University of Washington
Yoo-Geun Ham
Yoo-Geun Ham Seoul National University
Bin Wang
Bin Wang University of Hawaii at Manoa
Mansour Almazroui
Mansour Almazroui King Abdulaziz University
Myong-In Lee
Myong-In Lee Ulsan National Institute of Science and Technology

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