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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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3890646", 
  "author": [
    {
      "family": "S, Vishnu"
    }, 
    {
      "family": "W. R. Boos"
    }, 
    {
      "family": "P. A. Ullrich"
    }, 
    {
      "family": "T. A. O'Brien"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        6, 
        12
      ]
    ]
  }, 
  "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>\n\n<p>&nbsp;</p>\n\n<p><strong>Files:</strong></p>\n\n<ul>\n\t<li><em><strong>Header.txt</strong>: contains the names of columns of the LPS dataset files</em></li>\n\t<li><em><strong>LPS_Global_ERA5.dat</strong>: LPS track file for ERA5, 1979-2019, hourly resolution</em></li>\n\t<li><em><strong>LPS_Global_ERA-Interim.dat</strong>: LPS track file for ERA-Interim, 1979-2018, six-hourly resolution</em></li>\n\t<li><em><strong>LPS_Global_JRA55.dat</strong>: LPS track file for JRA55, 1958-2019, six-hourly resolution</em></li>\n\t<li><em><strong>LPS_Global_CFSR.dat</strong>: LPS track file for CFSR, 1979-2010, six-hourly&nbsp;resolution</em></li>\n\t<li><em><strong>LPS_Global_MERRA2.dat</strong>: LPS track file for MERRA2, 1980-2019, three-hourly resolution</em></li>\n</ul>\n\n<p><strong>Script:</strong></p>\n\n<ul>\n\t<li><em><strong>Run_tempest_lps.sh</strong>: TempestExtremes script to track LPS in reanalysis dataset.&nbsp;</em></li>\n</ul>\n\n<p>Additionally, four python scripts are available to subset the dataset:</p>\n\n<ol>\n\t<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>\n\t<li><em><strong>Python_Low_Depression.py</strong>: Python script to create two separate files for monsoon lows and monsoon depressions</em></li>\n\t<li><em><strong>Python_Region.py</strong>: Python script to create a separate file for a region</em></li>\n\t<li><em><strong>Python_Season.py</strong>: Python script to create a separate file for a season</em></li>\n</ol>\n\n<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>\n\n<p>For further details, contact S. Vishnu (<em>vishnuedv@gmail.com</em>) or William R Boos&nbsp; (<em>billboos@alum.mit.edu</em>).</p>", 
  "title": "Global track dataset of monsoon low pressure systems", 
  "type": "dataset", 
  "id": "3890646"
}
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