Global track dataset of monsoon low pressure systems

<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><em>Extented Data for ERA5:</em></strong></p> <ul> <li><em>ERA5 tracks for 1940-2022 are available on <strong><a href="https://boos.berkeley.edu">https://boos.berkeley.edu</a> </strong>in the "Data &amp; Tools" section.</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>&nbsp;</p> <ul> <li>&nbsp;</li> </ul> <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>