S
Shih-Yu Wang
Researcher at Utah State University
Publications - 213
Citations - 7560
Shih-Yu Wang is an academic researcher from Utah State University. The author has contributed to research in topics: Precipitation & Monsoon. The author has an hindex of 42, co-authored 203 publications receiving 5898 citations. Previous affiliations of Shih-Yu Wang include National Central University & Iowa State University.
Papers
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The Changing Monsoon Extremes and Dynamics: Example in Pakistan
TL;DR: In this paper, Shih-Yu (Simon) Wang, Utah Climate Center & Department of Plants, Soils, and Climate, Utah State University, Logan, UT; E-mail: simon.wang@usu.edu.
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Swapping of the Pacific and Atlantic Niño influences on north central India summer monsoon
TL;DR: In this paper, a pathway of the changing ENSO influences on summer monsoon rainfall is revealed from observational data analysis and numerical experiments, and the extent to which these teleconnections are represented in climate forecast models to aid the seasonal prediction of north central India rainfall.
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Added Value From 576 Years of Tree-ring Records in the Prediction of the Great Salt Lake Level
TL;DR: In this paper, the authors developed a model using the observational GSL elevation record of 137 years to predict itself and incorporated the recently reconstructed GSL elevation that utilized 576 years worth of tree-ring records into the predictive model.
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Statistical treatment for the wet bias in tree-ring chronologies: A case study from the InteriorWest, USA
TL;DR: In this paper, two modified linear regression models, namely a linear spline regression (LSR) and a likelihood-based wet bias adjusted linear regression (WBALR), were proposed to improve tree-ring-climate modeling.
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Stronger influence of growth rate than severity of drought stress on mortality of large ponderosa pines during the 2012-2015 California drought.
TL;DR: Compared to beetle-killed trees, surviving trees had higher growth rates and grew in plots with lower ponderosa pine basal area, but there were no detectable differences in tree-ring ∆13C, δ18O, or stable isotope sensitivity to drought-related meteorological variables.