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Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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U.S. west coast mountain hydroclimate dataset under local sea surface temperature perturbations: 2003-2015

Authors: Chen, Xiaodong; Leung, Ruby L.; Gao, Yang; Liu, Ying;

U.S. west coast mountain hydroclimate dataset under local sea surface temperature perturbations: 2003-2015

Abstract

This repository contains the data used in the following paper: Chen, X., L. R. Leung, Y. Gao, and Y. Liu (2021), Response of U.S. west coast mountain snowpack to local sea surface temperature perturbations: Insights from numerical modeling and machine learning, J. Hydrometeor. doi:10.1175/JHM-D-20-0127.1 It includes the hydroclimate data (P, T, SWE) over the western U.S. under two simulations: one historical reconstruction and one local SST perturbed simulation. The dataset covers the daily conditions during 2003-2015 on a 6-km grids that is used by the Weather Research and Forecasting model. There are other variables generated from this study, and for these additional data please contact Dr. Xiaodong Chen or Dr. Ruby Leung. If you would like to use this dataset, please cite the above paper along with the following related study: Chen, X. and L. R. Leung (2020), Response of landfalling atmospheric rivers on the U.S. west coast to local sea surface temperature perturbations, Geophys. Res. Lett., doi:10.1029/2020GL089254

{"references": ["Chen, X., L. R. Leung, Y. Gao, and Y. Liu (2021), Response of U.S. west coast mountain snowpack to local sea surface temperature perturbations: Insights from numerical modeling and machine learning, J. Hydrometeor. doi:10.1175/JHM-D-20-0127.1", "Chen, X.\u00a0and L. R. Leung\u00a0(2020), Response of landfalling atmospheric rivers on the U.S. west coast to local sea surface temperature perturbations,\u00a0Geophys. Res. Lett., doi:10.1029/2020GL089254"]}

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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