Dataset Open Access
S, Vishnu;
W. R. Boos;
P. A. Ullrich;
T. A. O'Brien
{ "description": "<p>This dataset contains the tracks and intensities of low pressure system (LPS) in the global tropics (35ºS-35ºN), as identified in five atmospheric reanalyses (ERA5, ERA-Interim, JRA55, MERRA2, and CFSR) using the algorithm described in the paper titled <strong>Assessing historical variability of South Asian monsoon lows and depressions with an optimized tracking algorithm</strong>. Tracking of LPS was performed using an automated Lagrangian pointwise feature tracker, TempestExtremes (Ullrich & Zarzycki, 2017), with criteria chosen to best match a subjectively analyzed LPS dataset while minimizing disagreement 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> </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 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. </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 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 (<em>billboos@alum.mit.edu</em>).</p>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California, USA", "@id": "https://orcid.org/0000-0003-1466-4281", "@type": "Person", "name": "S, Vishnu" }, { "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", "@id": "https://orcid.org/0000-0001-9076-3551", "@type": "Person", "name": "W. R. Boos" }, { "affiliation": "Department of Land, Air, and Water Resources, University of California, Davis, Davis, California, USA", "@id": "https://orcid.org/0000-0003-4118-4590", "@type": "Person", "name": "P. A. Ullrich" }, { "affiliation": "Earth and Atmospheric Sciences Department, Indiana University, Bloomington, Indiana, USA &. Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA", "@id": "https://orcid.org/0000-0002-6643-1175", "@type": "Person", "name": "T. A. O'Brien" } ], "url": "https://zenodo.org/record/3890646", "datePublished": "2020-06-12", "keywords": [ "Low Pressure System", "Track data", "Heat low", "Tropical storm", "TempestExtremes", "Monsoon depression" ], "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/Header.dat", "encodingFormat": "dat", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/LPS_Global_CFSR.dat", "encodingFormat": "dat", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/LPS_Global_ERA5.dat", "encodingFormat": "dat", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/LPS_Global_ERA-Interim.dat", "encodingFormat": "dat", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/LPS_Global_JRA55.dat", "encodingFormat": "dat", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/LPS_Global_MERRA2.dat", "encodingFormat": "dat", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/Python_Low_Depression.py", "encodingFormat": "py", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/Python_Moist_LPS_heat_low.py", "encodingFormat": "py", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/Python_Region.py", "encodingFormat": "py", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/Python_Season.py", "encodingFormat": "py", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/d4e1bcab-ba55-4e09-8800-eef011b0c712/Run_tempest_lps.sh", "encodingFormat": "sh", "@type": "DataDownload" } ], "identifier": "https://doi.org/10.5281/zenodo.3890646", "@id": "https://doi.org/10.5281/zenodo.3890646", "@type": "Dataset", "name": "Global track dataset of monsoon low pressure systems" }
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