Upmanu Lall

Publications
Influence

A Nearest Neighbor Bootstrap For Resampling Hydrologic Time Series

Upmanu Lall, A. Sharma
Mathematics
1 March 1996

A nonparametric method for resampling scalar or vector-valued time series is introduced. Multivariate nearest neighbor probability density estimation provides the basis for the resampling scheme… Expand

A k‐nearest‐neighbor simulator for daily precipitation and other weather variables

B. Rajagopalan, Upmanu Lall
Geology
1 October 1999

A multivariate, nonparametric time series simulation method is provided to generate random sequences of daily weather variables that "honor" the statistical properties of the historical data of the… Expand

A rainwater harvesting system reliability model based on nonparametric stochastic rainfall generator.

M. Basinger, F. Montalto, Upmanu Lall
Environmental Science
15 October 2010

Summary The reliability with which harvested rainwater can be used as a means of flushing toilets, irrigating gardens, and topping off air-conditioner serving multifamily residential buildings in New… Expand

Streamflow simulation: A nonparametric approach

A. Sharma, D. Tarboton, Upmanu Lall
Mathematics
1 February 1997

In this paper kernel estimates of the joint and conditional probability density functions are used to generate synthetic streamflow sequences. Streamflow is assumed to be a Markov process with time… Expand

Multi-variate flood damage assessment: a tree-based data-mining approach

B. Merz, H. Kreibich, Upmanu Lall
Computer Science
11 January 2013

We apply a group of data-mining techniques, known as tree-structured models, to flood damage assessment to identify the important damage-influencing variables and to derive multi-variate flood damage models. Expand

Water and economic development : The role of variability and a framework for resilience

C. Brown, Upmanu Lall
Geography
1 November 2006

The article advances the hypothesis that the seasonal and inter-annual variability of rainfall is a significant and measurable factor in the economic development of nations. An analysis of global… Expand

Seasonal to interannual ensemble streamflow forecasts for Ceara

F. O. Souza, Upmanu Lall
Environmental Science, Geology
1 November 2003

[1] A semiparametric approach for forecasting streamflow at multiple gaging locations on a river network conditional on climate precursors is developed. The strategy considers statistical forecasts… Expand

A stochastic nonparametric technique for space‐time disaggregation of streamflows

J. Prairie, B. Rajagopalan, Upmanu Lall, T. Fulp
Computer Science, Geology
1 March 2007

We present a K-nearest-neighbor approach to resample monthly flows conditioned on an annual value in a temporal disaggregation or multiple upstream locations conditioned on a downstream location for a spatial disaggregation. Expand

Using Bayesian networks to model watershed management decisions: an East Canyon Creek case study

D. Ames, B. Neilson, D. K. Stevens, Upmanu Lall
Environmental Science, Computer Science
WWW
1 October 2005

An approach to developing and using Bayesian networks to model watershed management decisions is presented with a case study application to phosphorus management in Northern Utah, USA. Expand

Floods in a changing climate: Does the past represent the future?

S. Jain, Upmanu Lall
Environmental Science
1 December 2001

Hydrologists have traditionally assumed that the annual maximum flood process at a location is independent and identically distributed. While nonstationarities in the flood process due to land use… Expand

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