His primary areas of investigation include Climatology, Environmental science, Sea surface temperature, Monsoon and Atmospheric sciences. His work carried out in the field of Climatology brings together such families of science as Atmosphere, Convection, Climate model and Atmospheric model. There are a combination of areas like Predictability, Anomaly, Meteorology, Teleconnection and General Circulation Model integrated together with his Environmental science study.
His study in Predictability is interdisciplinary in nature, drawing from both Forecast skill and Hindcast. His Sea surface temperature research is multidisciplinary, incorporating elements of La Niña, Extratropical cyclone and GCM transcription factors. His biological study spans a wide range of topics, including Empirical orthogonal functions and Precipitation, Rainband.
In-Sik Kang mainly focuses on Climatology, Environmental science, Meteorology, Atmospheric sciences and Sea surface temperature. His work deals with themes such as Madden–Julian oscillation, Predictability and Precipitation, which intersect with Climatology. In-Sik Kang has included themes like Atmosphere and Hindcast in his Predictability study.
Environmental science is intertwined with Convection, Monsoon, Forecast skill, Atmospheric model and Climate model in his research. The study incorporates disciplines such as Outgoing longwave radiation and Convective momentum transport in addition to Atmospheric sciences. His studies in Sea surface temperature integrate themes in fields like Teleconnection and Forcing.
In-Sik Kang mainly investigates Climatology, Environmental science, Precipitation, Oceanography and Predictability. His research in Climatology intersects with topics in Madden–Julian oscillation, General Circulation Model and Geopotential height. His Precipitation research incorporates elements of Scale, Flooding and Atmospheric sciences.
His work on Atlantic multidecadal oscillation as part of general Oceanography research is frequently linked to South china and Surface cooling, bridging the gap between disciplines. His study explores the link between Predictability and topics such as Winter monsoon that cross with problems in Forecast skill, Hindcast and Trough. His study focuses on the intersection of Sea surface temperature and fields such as Teleconnection with connections in the field of Westerlies, Interdecadal Pacific Oscillation and Rossby wave.
His primary scientific interests are in Climatology, Environmental science, Oceanography, Atlantic multidecadal oscillation and North Atlantic Deep Water. In-Sik Kang focuses mostly in the field of Climatology, narrowing it down to topics relating to General Circulation Model and, in certain cases, Seasonal forecasting. His Environmental science research overlaps with other disciplines such as Anomaly, Convection, Precipitation, Atmospheric sciences and Predictability.
To a larger extent, In-Sik Kang studies Sea surface temperature with the aim of understanding Atlantic multidecadal oscillation. His research integrates issues of Ocean dynamics, Teleconnection and Anticyclone in his study of Sea surface temperature. In-Sik Kang combines subjects such as Tropical Atlantic, Pacific decadal oscillation and Forcing with his study of North Atlantic Deep Water.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Fundamental challenge in simulation and prediction of summer monsoon rainfall
Bin Wang;Qinghua Ding;Xiouhua Fu;In-Sik Kang.
Geophysical Research Letters (2005)
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.
Climate Dynamics (2013)
Intercomparison of the climatological variations of Asian summer monsoon precipitation simulated by 10 GCMs
I.-S. Kang;K. Jin;B. Wang;K.-M. Lau.
Climate Dynamics (2002)
Current status of ENSO prediction skill in coupled ocean-atmosphere models
Emilia K. Jin;James L. Kinter;B. Wang;C.-K. Park.
Climate Dynamics (2008)
Ensemble Simulations of Asian–Australian Monsoon Variability by 11 AGCMs*
Bin Wang;In-Sik Kang;June-Yi Lee.
Journal of Climate (2004)
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.
Climate Dynamics (2009)
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.
Climate Dynamics (2013)
Interactive Feedback between ENSO and the Indian Ocean
Jong-Seong Kug;In-Sik Kang.
Journal of Climate (2006)
AGCM simulations of intraseasonal variability associated with the Asian summer monsoon
D. E. Waliser;K. Jin;I.-S. Kang;W. F. Stern.
Climate Dynamics (2003)
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.
Journal of Climate (2004)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Pohang University of Science and Technology
International Centre for Theoretical Physics
University of Hawaii System
Yonsei University
Pusan National University
University of Washington
Chonnam National University
University of Hawaii at Manoa
Goddard Space Flight Center
University of Miami
University of Toronto
University of Washington
Microsoft (United States)
Cornell University
University of Montreal
University of Milan
International Centre of Insect Physiology and Ecology
Binghamton University
University of Freiburg
University of Pennsylvania
University of California System
MRC Laboratory of Molecular Biology
University of North Carolina at Chapel Hill
Utrecht University
Memorial Sloan Kettering Cancer Center
University of Otago