2018 - Fellow of the American Association for the Advancement of Science (AAAS)
2017 - Fellow of American Geophysical Union (AGU)
His main research concerns Climatology, Precipitation, Statistics, Nonparametric statistics and Flood myth. He has included themes like Streamflow, Climate change and Meteorology in his Climatology study. His research integrates issues of Surface-water hydrology, Groundwater recharge, Aquifer and Groundwater in his study of Precipitation.
In the field of Statistics, his study on Estimator, Density estimation and Kernel density estimation overlaps with subjects such as Multivariate kernel density estimation. His Nonparametric statistics research incorporates themes from Resampling, Parametric statistics, Autoregressive model and Nonlinear system. His work on 100-year flood as part of general Flood myth study is frequently linked to Warning system, bridging the gap between disciplines.
His scientific interests lie mostly in Climatology, Streamflow, Precipitation, Hydrology and Flood myth. Upmanu Lall combines subjects such as Meteorology and Flood forecasting with his study of Climatology. His Streamflow study combines topics from a wide range of disciplines, such as Inflow and Water resources.
Upmanu Lall is involved in the study of Precipitation that focuses on Teleconnection in particular. His study in Groundwater and Hydrology is carried out as part of his studies in Hydrology. He mostly deals with 100-year flood in his studies of Flood myth.
Climatology, Hydrology, Water resource management, Precipitation and Streamflow are his primary areas of study. His Climatology research is multidisciplinary, incorporating perspectives in Flood myth and Climate change. His work deals with themes such as Global change, Environmental resource management and Natural hazard, which intersect with Hydrology.
His research integrates issues of Agriculture and Groundwater in his study of Water resource management. His Precipitation study frequently links to adjacent areas such as Atmospheric sciences. His Streamflow study introduces a deeper knowledge of Hydrology.
His main research concerns Climatology, Precipitation, Flood myth, Streamflow and Water resource management. His research in the fields of Atmospheric circulation overlaps with other disciplines such as Context. His Precipitation research includes themes of Inference, Atmospheric sciences, Hydrology and Conditional simulation.
His Flood myth study integrates concerns from other disciplines, such as Sea surface temperature, Natural resource economics, Environmental resource management and Scale. His Streamflow research is multidisciplinary, relying on both Geological survey, Physical geography and Forward contract. His Water resource management study also includes fields such as
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A Nearest Neighbor Bootstrap For Resampling Hydrologic Time Series
Upmanu Lall;Ashish Sharma.
Water Resources Research (1996)
Estimation of mutual information using kernel density estimators.
Young-Il Moon;Balaji Rajagopalan;Upmanu Lall.
Physical Review E (1995)
A k‐nearest‐neighbor simulator for daily precipitation and other weather variables
Balaji Rajagopalan;Upmanu Lall.
Water Resources Research (1999)
Streamflow simulation: A nonparametric approach
Ashish Sharma;David G. Tarboton;Upmanu L. Lall.
Water Resources Research (1997)
Flood Risks and Impacts: A Case Study of Thailand’s Floods in 2011 and Research Questions for Supply Chain Decision Making
Masahiko Haraguchi;Upmanu Lall.
International journal of disaster risk reduction (2015)
Floods in a changing climate: Does the past represent the future?
Shaleen Jain;Upmanu Lall.
Water Resources Research (2001)
Use of satellite imagery for water quality studies in New York Harbor
F.L. Hellweger;P. Schlosser;P. Schlosser;U. Lall;U. Lall;J.K. Weissel.
Estuarine Coastal and Shelf Science (2004)
Floods and climate: emerging perspectives for flood risk assessment and management
B. Merz;J. Aerts;K. Arnbjerg-Nielsen;M. Baldi.
(2014)
Water and economic development : The role of variability and a framework for resilience
Casey Brown;Upmanu Lall.
Natural Resources Forum (2006)
A rainwater harvesting system reliability model based on nonparametric stochastic rainfall generator.
Matt Basinger;Franco Montalto;Upmanu Lall.
Journal of Hydrology (2010)
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