Dataset Open Access

Global track dataset of monsoon low pressure systems

S, Vishnu; W. R. Boos; P. A. Ullrich; T. A. O'Brien


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        <foaf:name>S, Vishnu</foaf:name>
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        <foaf:name>P. A. Ullrich</foaf:name>
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    <dct:title>Global track dataset of monsoon low pressure systems</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
    <dcat:keyword>Low Pressure System</dcat:keyword>
    <dcat:keyword>Track data</dcat:keyword>
    <dcat:keyword>Heat low</dcat:keyword>
    <dcat:keyword>Tropical storm</dcat:keyword>
    <dcat:keyword>TempestExtremes</dcat:keyword>
    <dcat:keyword>Monsoon depression</dcat:keyword>
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    <dct:description>&lt;p&gt;This dataset contains the tracks and intensities of low pressure system (LPS) in the global tropics (35&amp;ordm;S-35&amp;ordm;N), as identified in five atmospheric reanalyses (ERA5, ERA-Interim, JRA55, MERRA2, and CFSR) using the algorithm described in the paper titled&amp;nbsp;&lt;strong&gt;Assessing historical variability of South Asian monsoon lows and depressions with an optimized tracking algorithm&lt;/strong&gt;.&amp;nbsp; Tracking of LPS was performed using an automated Lagrangian pointwise feature tracker, TempestExtremes (Ullrich &amp;amp; Zarzycki, 2017), with criteria chosen to best match a subjectively analyzed LPS dataset while minimizing disagreement&amp;nbsp; between four atmospheric reanalyses. A full description of the algorithm and dataset is described in the preprint *(&lt;a href="https://doi.org/10.1029/2020JD032977"&gt;https://doi.org/10.1029/2020JD032977&lt;/a&gt;)&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Files:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;Header.txt&lt;/strong&gt;: contains the names of columns of the LPS dataset files&lt;/em&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;LPS_Global_ERA5.dat&lt;/strong&gt;: LPS track file for ERA5, 1979-2019, hourly resolution&lt;/em&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;LPS_Global_ERA-Interim.dat&lt;/strong&gt;: LPS track file for ERA-Interim, 1979-2018, six-hourly resolution&lt;/em&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;LPS_Global_JRA55.dat&lt;/strong&gt;: LPS track file for JRA55, 1958-2019, six-hourly resolution&lt;/em&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;LPS_Global_CFSR.dat&lt;/strong&gt;: LPS track file for CFSR, 1979-2010, six-hourly&amp;nbsp;resolution&lt;/em&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;LPS_Global_MERRA2.dat&lt;/strong&gt;: LPS track file for MERRA2, 1980-2019, three-hourly resolution&lt;/em&gt;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Script:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;Run_tempest_lps.sh&lt;/strong&gt;: TempestExtremes script to track LPS in reanalysis dataset.&amp;nbsp;&lt;/em&gt;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Additionally, four python scripts are available to subset the dataset:&lt;/p&gt; &lt;ol&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;Python_Moist_LPS_heat_low.py&lt;/strong&gt;: Python script to create two separate files for&amp;nbsp; moist LPS and heat lows&lt;/em&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;Python_Low_Depression.py&lt;/strong&gt;: Python script to create two separate files for monsoon lows and monsoon depressions&lt;/em&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;Python_Region.py&lt;/strong&gt;: Python script to create a separate file for a region&lt;/em&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;&lt;strong&gt;Python_Season.py&lt;/strong&gt;: Python script to create a separate file for a season&lt;/em&gt;&lt;/li&gt; &lt;/ol&gt; &lt;p&gt;Note: The TempestExtremes software can be obtained from GitHub at &lt;a href="https://github.com/ClimateGlobalChange/tempestextremes"&gt;https://github.com/ClimateGlobalChange/tempestextremes&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;For further details, contact S. Vishnu (&lt;em&gt;vishnuedv@gmail.com&lt;/em&gt;) or William R Boos&amp;nbsp; (&lt;em&gt;billboos@alum.mit.edu&lt;/em&gt;).&lt;/p&gt;</dct:description>
    <dct:description>{"references": ["Vishnu, S., Boos, W.R., Ullrich, P.A.&amp; 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., &amp; Zarzycki, C. M. (2017). TempestExtremes: A framework for scale- insensitive pointwise feature tracking on unstructured grids. Geoscientific Model De- velopment, 10(3), 1069."]}</dct:description>
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