What is he best known for?
The fields of study he is best known for:
- Climatology
- Meteorology
- Climate change
Jagadish Shukla spends much of his time researching Climatology, Atmospheric circulation, Sea surface temperature, Monsoon and Atmospheric sciences.
Jagadish Shukla combines subjects such as Atmosphere and Predictability with his study of Climatology.
His Predictability research is multidisciplinary, incorporating elements of Forecast skill, Meteorology and Northern Hemisphere.
His Meteorology research includes elements of Replicate and Ocean current.
His Atmospheric circulation research is multidisciplinary, incorporating perspectives in Tropical Atlantic, Tropical Atlantic Variability and Atmospheric models.
In his research, Climate change is intimately related to Precipitation, which falls under the overarching field of Monsoon.
His most cited work include:
- Monsoons: Processes, predictability, and the prospects for prediction (2025 citations)
- Influence of land-surface evapotranspiration on the earth's climate (899 citations)
- Amazon Deforestation and Climate Change (772 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Climatology, Atmospheric sciences, Sea surface temperature, Atmospheric circulation and Monsoon.
His Climatology research incorporates elements of Climate model, Predictability and Precipitation.
Jagadish Shukla works mostly in the field of Atmospheric sciences, limiting it down to topics relating to Atmosphere and, in certain cases, Annual cycle.
His Sea surface temperature study also includes
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Wind stress which is related to area like Tropical Atlantic,
-
Forcing which intersects with area such as Empirical orthogonal functions.
His study on Atmospheric circulation also encompasses disciplines like
-
Atmospheric models, which have a strong connection to Atmospheric temperature,
-
Albedo together with Latent heat.
Jagadish Shukla has included themes like Southern oscillation and Instability in his Monsoon study.
He most often published in these fields:
- Climatology (77.16%)
- Atmospheric sciences (35.19%)
- Sea surface temperature (29.01%)
What were the highlights of his more recent work (between 2008-2020)?
- Climatology (77.16%)
- Climate model (15.43%)
- Predictability (17.90%)
In recent papers he was focusing on the following fields of study:
His main research concerns Climatology, Climate model, Predictability, Sea surface temperature and Atmospheric sciences.
His work carried out in the field of Climatology brings together such families of science as Global warming and Meteorology.
His Climate model research focuses on Precipitation and how it relates to Community Climate System Model and Madden–Julian oscillation.
Jagadish Shukla has researched Predictability in several fields, including El Niño Southern Oscillation, Limit, Climate Forecast System and Indian summer monsoon.
The concepts of his Sea surface temperature study are interwoven with issues in Anomaly and Dog days.
His Atmospheric sciences research includes themes of Atmosphere and Ensemble average.
Between 2008 and 2020, his most popular works were:
- Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980–2004) (307 citations)
- A Significant Component of Unforced Multidecadal Variability in the Recent Acceleration of Global Warming (146 citations)
- Collaboration of the Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction (125 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Climatology
- Climate change
Climatology, Climate model, Sea surface temperature, Forecast skill and Global warming are his primary areas of study.
His Climatology study combines topics in areas such as Climate change, Downscaling and Data assimilation.
His Climate model study incorporates themes from Monsoon, Political economy of climate change, Precipitation and Environmental planning.
His Sea surface temperature research is classified as research in Meteorology.
His Forecast skill study integrates concerns from other disciplines, such as Regression analysis, Sample, Hindcast and Predictability.
Jagadish Shukla interconnects Atlantic multidecadal oscillation and Forcing in the investigation of issues within Global warming.
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