Journal ArticleDOI
Quantification of linkages between large-scale climatic patterns and precipitation in the Colorado River Basin
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In this paper, the authors analyzed the linkages between large-scale climate patterns and regional precipitation variability, in particular the interannual variation of seasonal precipitation in the Colorado River Basin.About:
This article is published in Journal of Hydrology.The article was published on 2006-04-30. It has received 57 citations till now. The article focuses on the topics: Pacific decadal oscillation & Precipitation.read more
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Analysis of rainfall severity and duration in Victoria, Australia using non-parametric copulas and marginal distributions
TL;DR: This paper introduces and compares several copula–based approaches, each involving a combination of parametric or nonparametric marginal distributions conjoined by aparametric ornonparametric copula, and shows that a nonparametrical approach can often give better results than a purely parametric approach.
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Exploring the Predictability of 30-Day Extreme Precipitation Occurrence Using a Global SST–SLP Correlation Network
TL;DR: In this paper, the spatiotemporal relationship among sea surface temperature (SST), sea level pressure (SLP), and extreme global precipitation is explored using a graph-based approach that uses the concept of reciprocity to generate cluster pairs of locations with similar spatio-temporal patterns at any time lag.
Journal ArticleDOI
Basis for Extending Long-Term Streamflow Forecasts in the Colorado River Basin
TL;DR: In this paper, the authors identify a new sea surface temperature (SST) index which demonstrates significant, long-lead covariance with streamflow in the Colorado River Basin and compare with other existing climate indices by using the nonparametric rank sum test and by also using the index in a forecasting scenario.
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Improving seasonal predictions of climate variability and water availability at the catchment scale
TL;DR: In this article, the statistically unique relationship between sea surface temperatures (SSTs) and particular basins' hydroclimates is explored, and the SSTs from these regions of highest correlation are subsequently used as hydroclimatic predictors for the two basins.
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Hydroclimate variability and long-lead forecasting of rainfall over Thailand by large-scale atmospheric variables
TL;DR: In this paper, the development of statistical relationships between local hydroclimates and large-scale atmospheric variables enhances the understanding of hydroclimate variability, and a modified k-NN model is developed using the identified predictors to forecast rainfall, and evaluated by likelihood function, shows a long-lead forecast of monsoon rainfall at 7-9 months.
References
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BookDOI
Density estimation for statistics and data analysis
TL;DR: The Kernel Method for Multivariate Data: Three Important Methods and Density Estimation in Action.
Journal ArticleDOI
Applied smoothing techniques for data analysis : the kernel approach with S-plus illustrations
Adrian Bowman,Adelchi Azzalini +1 more
TL;DR: 1. Density estimation for exploring data 2. D density estimation for inference 3. Nonparametric regression for explore data 4. Inference with nonparametric regressors 5. Checking parametric regression models 6. Comparing regression curves and surfaces
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North American Precipitation and Temperature Patterns Associated with the El Niño/Southern Oscillation (ENSO)
TL;DR: In this article, the authors describe an investigation of the typical North American precipitation and temperature patterns associated with the El Nino/Southern Oscillation (ENSO) and analyze monthly surface temperature and precipitation data using a method designed to identify regions of the globe that have responses associated with ENSO.
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Precipitation Patterns Associated with the High Index Phase of the Southern Oscillation
TL;DR: In this paper, the authors examined the relationship between precipitation and the high index phase of the Southern Oscillation (SO) for 19 regions of the globe which have documented low SO index-precipitation relationships (Ropelewski and Halpert 1986, 1987).
Journal ArticleDOI
Comparing the palmer drought index and the standardized precipitation index
TL;DR: The spectral characteristics of the Palmer Drought Index vary from site to site throughout the U.S., while those of the Standardized Precipitation Index do not vary from sites to sites as mentioned in this paper.