2018 - Fellow of American Geophysical Union (AGU)
Balaji Rajagopalan mostly deals with Climatology, Sea surface temperature, Precipitation, Streamflow and Meteorology. Balaji Rajagopalan specializes in Climatology, namely Monsoon. His study in Sea surface temperature is interdisciplinary in nature, drawing from both Smoothing and Covariance.
His Precipitation study combines topics from a wide range of disciplines, such as Land cover, Statistics, Kriging and Evapotranspiration. The concepts of his Streamflow study are interwoven with issues in Snow, Structural basin, Geopotential height and Water resources. His biological study deals with issues like Subsidence, which deal with fields such as Climate model, Forcing and Atmospheric sciences.
His primary areas of study are Climatology, Precipitation, Streamflow, Meteorology and Statistics. As part of his studies on Climatology, Balaji Rajagopalan often connects relevant subjects like Climate change. Balaji Rajagopalan has included themes like Watershed, Surface runoff and Kriging in his Precipitation study.
His work in Streamflow covers topics such as Water resources which are related to areas like Snow. His Statistics research includes elements of Feature vector and k-nearest neighbors algorithm. His research in Monsoon is mostly focused on Monsoon of South Asia.
His primary scientific interests are in Climatology, Precipitation, Hydrology, Streamflow and Climate change. His Climatology research is multidisciplinary, relying on both Arctic and Holocene. His research in Precipitation intersects with topics in Covariate, Generalized linear model and Climate model.
His study looks at the relationship between Hydrology and topics such as Sewage treatment, which overlap with Random forest. His Streamflow research is multidisciplinary, incorporating perspectives in Stochastic simulation, Wavelet, Surface runoff and Hidden Markov model. The Climate change study combines topics in areas such as Water balance and Seasonality.
Climatology, Climate change, Precipitation, Meteorology and Parametric statistics are his primary areas of study. His studies in Climatology integrate themes in fields like Streamflow, Downscaling and Mode. His work carried out in the field of Climate change brings together such families of science as Seasonality, Spatial variability, Monsoon of South Asia, Water balance and El Niño Southern Oscillation.
His Precipitation research is multidisciplinary, relying on both Climate model, Forcing, Evapotranspiration and Weather Research and Forecasting Model. While the research belongs to areas of Meteorology, he spends his time largely on the problem of Data set, intersecting his research to questions surrounding Interpolation, Inverse distance weighting and Visual inspection. His work deals with themes such as Random variable, Calibration, Structural engineering, Finite element method and Covariance matrix, which intersect with Parametric statistics.
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.
Analyses of global sea surface temperature 1856–1991
Alexey Kaplan;Mark A. Cane;Yochanan Kushnir;Amy C. Clement.
Journal of Geophysical Research (1998)
On the Weakening Relationship Between the Indian Monsoon and ENSO
K. Krishna Kumar;Balaji Rajagopalan;Mark A. Cane.
Unraveling the Mystery of Indian Monsoon Failure During El Niño
K. Krishna Kumar;Balaji Rajagopalan;Balaji Rajagopalan;Martin Hoerling;Gary Bates.
Knowledge-sharing and influence in online social networks via viral marketing
Mani R. Subramani;Balaji Rajagopalan.
Communications of The ACM (2003)
Seasonal Cycle Shifts in Hydroclimatology over the Western United States
Satish Kumar Regonda;Balaji Rajagopalan;Martyn Clark;John Pitlick.
Journal of Climate (2005)
A k‐nearest‐neighbor simulator for daily precipitation and other weather variables
Balaji Rajagopalan;Upmanu Lall.
Water Resources Research (1999)
Estimation of mutual information using kernel density estimators.
Young-Il Moon;Balaji Rajagopalan;Upmanu Lall.
Physical Review E (1995)
A framework for creating hybrid‐open source software communities
Srinarayan Sharma;Vijayan Sugumaran;Balaji Rajagopalan.
Information Systems Journal (2002)
A technique for generating regional climate scenarios using a nearest‐neighbor algorithm
David Yates;David Yates;Subhrendu Gangopadhyay;Balaji Rajagopalan;Kenneth Strzepek.
Water Resources Research (2003)
The Schaake Shuffle: A Method for Reconstructing Space–Time Variability in Forecasted Precipitation and Temperature Fields
Martyn Clark;Subhrendu Gangopadhyay;Lauren Hay;Balaji Rajagopalan.
Journal of Hydrometeorology (2004)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
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: