Dataset Open Access
S, Vishnu;
W. R. Boos;
P. A. Ullrich;
T. A. O'Brien
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.3890646</identifier> <creators> <creator> <creatorName>S, Vishnu</creatorName> <givenName>Vishnu</givenName> <familyName>S</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1466-4281</nameIdentifier> <affiliation>Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California, USA</affiliation> </creator> <creator> <creatorName>W. R. Boos</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9076-3551</nameIdentifier> <affiliation>Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California, USA & Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA</affiliation> </creator> <creator> <creatorName>P. A. Ullrich</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4118-4590</nameIdentifier> <affiliation>Department of Land, Air, and Water Resources, University of California, Davis, Davis, California, USA</affiliation> </creator> <creator> <creatorName>T. A. O'Brien</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6643-1175</nameIdentifier> <affiliation>Earth and Atmospheric Sciences Department, Indiana University, Bloomington, Indiana, USA &. Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA</affiliation> </creator> </creators> <titles> <title>Global track dataset of monsoon low pressure systems</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2020</publicationYear> <subjects> <subject>Low Pressure System</subject> <subject>Track data</subject> <subject>Heat low</subject> <subject>Tropical storm</subject> <subject>TempestExtremes</subject> <subject>Monsoon depression</subject> </subjects> <dates> <date dateType="Issued">2020-06-12</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3890646</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3890645</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>This dataset contains the tracks and intensities of low pressure system (LPS) in the global tropics (35&ordm;S-35&ordm;N), as identified in five atmospheric reanalyses (ERA5, ERA-Interim, JRA55, MERRA2, and CFSR) using the algorithm described in the paper titled&nbsp;<strong>Assessing historical variability of South Asian monsoon lows and depressions with an optimized tracking algorithm</strong>.&nbsp; Tracking of LPS was performed using an automated Lagrangian pointwise feature tracker, TempestExtremes (Ullrich &amp; Zarzycki, 2017), with criteria chosen to best match a subjectively analyzed LPS dataset while minimizing disagreement&nbsp; between four atmospheric reanalyses. A full description of the algorithm and dataset is described in the preprint *(<a href="https://doi.org/10.1029/2020JD032977">https://doi.org/10.1029/2020JD032977</a>)</p> <p>&nbsp;</p> <p><strong>Files:</strong></p> <ul> <li><em><strong>Header.txt</strong>: contains the names of columns of the LPS dataset files</em></li> <li><em><strong>LPS_Global_ERA5.dat</strong>: LPS track file for ERA5, 1979-2019, hourly resolution</em></li> <li><em><strong>LPS_Global_ERA-Interim.dat</strong>: LPS track file for ERA-Interim, 1979-2018, six-hourly resolution</em></li> <li><em><strong>LPS_Global_JRA55.dat</strong>: LPS track file for JRA55, 1958-2019, six-hourly resolution</em></li> <li><em><strong>LPS_Global_CFSR.dat</strong>: LPS track file for CFSR, 1979-2010, six-hourly&nbsp;resolution</em></li> <li><em><strong>LPS_Global_MERRA2.dat</strong>: LPS track file for MERRA2, 1980-2019, three-hourly resolution</em></li> </ul> <p><strong>Script:</strong></p> <ul> <li><em><strong>Run_tempest_lps.sh</strong>: TempestExtremes script to track LPS in reanalysis dataset.&nbsp;</em></li> </ul> <p>Additionally, four python scripts are available to subset the dataset:</p> <ol> <li><em><strong>Python_Moist_LPS_heat_low.py</strong>: Python script to create two separate files for&nbsp; moist LPS and heat lows</em></li> <li><em><strong>Python_Low_Depression.py</strong>: Python script to create two separate files for monsoon lows and monsoon depressions</em></li> <li><em><strong>Python_Region.py</strong>: Python script to create a separate file for a region</em></li> <li><em><strong>Python_Season.py</strong>: Python script to create a separate file for a season</em></li> </ol> <p>Note: The TempestExtremes software can be obtained from GitHub at <a href="https://github.com/ClimateGlobalChange/tempestextremes">https://github.com/ClimateGlobalChange/tempestextremes</a>.</p> <p>For further details, contact S. Vishnu (<em>vishnuedv@gmail.com</em>) or William R Boos&nbsp; (<em>billboos@alum.mit.edu</em>).</p></description> <description descriptionType="Other">{"references": ["Vishnu, S., Boos, W.R., Ullrich, P.A.& O'Brien, T.A., 2020. Assessing Historical Variability of South Asian Monsoon Lows and Depressions With an Optimized Tracking Algorithm. Journal of Geophysical Research: Atmospheres, 125(15), p.e2020JD032977.", "Ullrich, P. A., & Zarzycki, C. M. (2017). TempestExtremes: A framework for scale- insensitive pointwise feature tracking on unstructured grids. Geoscientific Model De- velopment, 10(3), 1069."]}</description> </descriptions> </resource>
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