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Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Sensitivity of atmospheric river vapor transport and precipitation to uniform sea-surface temperature increases

Authors: Elizabeth McClenny; Paul Ullrich; Richard Grotjahn;

Sensitivity of atmospheric river vapor transport and precipitation to uniform sea-surface temperature increases

Abstract

This is the companion data for the manuscript of the same title, originally submitted to JGR: Atmospheres on 02/08/2020 and resubmitted on 06/30/2020. Specifically, this dataset corresponds to the resubmitted version. Note that the only change is the addition of code example to generate kernel density estimates of Hadley cell edge, subtropical jet, and eddy-driven jet positions. modelParameters: this folder contains the scripts I ran on NERSC Cori in 2019 to initialize the CESM2.0/CAM5 model runs. qobs_script_newcase.sh: creates all cases, for the Baseline as well as the +xK SST runs docn_comp_mod.F90: original CAM5 aquaplanet SST distributions; "QOBS" is used for my "Baseline" experiments plusxK_docn_comp_mod.F90: modified SST distributions, for x=(2,4,6); these are simply uniform additions to the QOBS SST distributions Macros.make & env_mach_specific.xml: configuration files to run CESM2.0 on Cori at the time user_nl_cam: namelist for CAM5; specifies some model run parameters as well as output variables. detectionParameters: this folder contains the scripts I ran on NERSC Cori in 2019 to detect tropical cyclones and atmospheric rivers. Use this code for reference purposes only (i.e., to see which parameters were used to detect ARs or TCs). It will not run as-is. All other subfolders provide working examples of code used to generate figures (all in Jupyter notebooks) for the manuscript; folder names are descriptive. Unfortunately, model output was large (~12 TB). Hence, I only provide mean data, used directly to generate figures, in this repository. All model output are archived on tape at NERSC. For more details, refer to the manuscript, or contact me (eelliott@ucdavis.edu).

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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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