What is he best known for?
The fields of study he is best known for:
- Statistics
- Ecology
- Climate change
Ashish Sharma spends much of his time researching Climatology, Precipitation, Climate change, Statistics and Nonparametric statistics.
Ashish Sharma interconnects Global warming, Range, Meteorology and Water resources in the investigation of issues within Climatology.
His Precipitation study incorporates themes from Bin, Atmosphere, Atmospheric sciences and Scaling.
He has researched Climate change in several fields, including Evapotranspiration and Surface runoff.
His research investigates the connection with Statistics and areas like Econometrics which intersect with concerns in Representation, Markov chain Monte Carlo and Streamflow.
The study incorporates disciplines such as Kernel density estimation, Probability density function and Spatial dependence in addition to Nonparametric statistics.
His most cited work include:
- A Nearest Neighbor Bootstrap For Resampling Hydrologic Time Series (544 citations)
- A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting (239 citations)
- Observed relationships between extreme sub‐daily precipitation, surface temperature, and relative humidity (223 citations)
What are the main themes of his work throughout his whole career to date?
Climatology, Meteorology, Precipitation, Climate change and Statistics are his primary areas of study.
Ashish Sharma works mostly in the field of Climatology, limiting it down to topics relating to Downscaling and, in certain cases, Weather Research and Forecasting Model, as a part of the same area of interest.
His Meteorology study integrates concerns from other disciplines, such as Radar, Range and Spatial dependence.
His research links Atmospheric sciences with Precipitation.
His Climate change research incorporates elements of Flood myth and Environmental resource management.
Ashish Sharma studies Nonparametric statistics which is a part of Statistics.
He most often published in these fields:
- Climatology (33.06%)
- Meteorology (16.53%)
- Precipitation (14.72%)
What were the highlights of his more recent work (between 2019-2021)?
- Climatology (33.06%)
- Climate change (14.92%)
- Climate model (6.45%)
In recent papers he was focusing on the following fields of study:
Ashish Sharma mostly deals with Climatology, Climate change, Climate model, Precipitation and Artificial intelligence.
His Climatology research is multidisciplinary, incorporating elements of Flooding, Downscaling and Spatial dependence.
His Climate change research includes elements of Streamflow, Flash flood, Environmental resource management and Hydrological modelling.
His study in Climate model is interdisciplinary in nature, drawing from both Sea surface temperature, Bias correction and Air quality index.
The various areas that Ashish Sharma examines in his Precipitation study include Snow and Atmospheric sciences.
His research integrates issues of Machine learning and Pattern recognition in his study of Artificial intelligence.
Between 2019 and 2021, his most popular works were:
- Anthropogenic intensification of short-duration rainfall extremes (7 citations)
- An Improved Covariate for Projecting Future Rainfall Extremes (7 citations)
- A Network Approach for Delineating Homogeneous Regions in Regional Flood Frequency Analysis (7 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Ecology
- Climate change
His primary scientific interests are in Climate change, Climatology, Precipitation, Climate model and Flash flood.
His studies in Climate change integrate themes in fields like Reliability, Reservoir storage, Multivariate statistics and Environmental resource management.
His primary area of study in Climatology is in the field of Atmospheric temperature.
Ashish Sharma interconnects Atmospheric sciences, Snow, HEC-HMS, Hydrological modelling and Hydropower in the investigation of issues within Precipitation.
He has included themes like Sea surface temperature and Precipitation index in his Climate model study.
His Flash flood study which covers Flooding that intersects with Storm, Flood myth, Temperature stratification, Atmospheric moisture and Atmospheric circulation.
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