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ZENODO
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ZENODO
Dataset . 2022
License: CC BY
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ZENODO
Dataset . 2022
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Precipitation objects under the current and future climate: WRF 6-km hydroclimate simulation of the western US

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

Precipitation objects under the current and future climate: WRF 6-km hydroclimate simulation of the western US

Abstract

This folder includes the data for the following manuscript: Chen et al., Sharpening of Future Western US Cold Season Storms Modifies Area‐Intensity Relationship for Safe Design. It is generated using WRF V3.8.1 at PNNL. A historical simulation ("NARR") is done for 1981-2010, and five future simulations ("CanESM2", "CESM1-CAM5", "GFDL-ESM2M", "HadGEM2-ES", "MPI-ESM-MR") are done for 2041-2070 using the Psuedo Global Warming (PGW) approach. For the WRF model configuration and the simulation details, please refer to the abovementioned manuscript. This is the preliminary version of the dataset that contains the precipitation object features as analyzed in the manuscript. More data (including the WRF raw output) will be included here before the manuscript is published.

{"references": ["Chen, X. et al. (2018). Predictability of Extreme Precipitation in Western U.S. Watersheds Based on Atmospheric River Occurrence, Intensity, and Duration, Geophys. Res. Lett. doi: 10.1029/2018GL079831."]}

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Keywords

climate change, Weather Research and Forecasting (WRF), precipitation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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