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Global Attributes:	conventions: CF-1.12 title: PIK Atmospheric River Trajectories (PIKART) Eulerian Catalog Version 1.0 (https://ar.pik-potsdam.de) version: 1.0 source: Atmospheric river detection tool applied to MERRA2 reanalysis data institution: Potsdam Institute for Climate Impact Research (PIK) and Leipzig University references: Vallejo-Bernal, S. M., Braun, T., Marwan, N., & Kurths, J. (2025). PIKART: A Comprehensive Global Catalog of Atmospheric Rivers. Journal of Geophysical Research: Atmospheres comment: This dataset contains physical properties during atmospheric river conditions. IVT variables were computed by integrating the product of specific humidity and wind components from 300 hPa to 1000 hPa. history: Fri Apr 10 13:38:43 2026: ncks -4 -L 1 PIKART_V1.0_eulerian_uncomp/PIKART_V1.0_eulerian_MERRA2_0p5deg_0p625deg_3hr_1987.nc PIKART_V1.0_eulerian/PIKART_V1.0_eulerian_MERRA2_0p5deg_0p625deg_3hr_1987.nc Sun Jun 29 18:07:01 2025: ncks -4 -L 1 /p/projects/climxtreme/bernal/ARTMIP/output/MERRA2/0p5deg_0p625deg_3hr/PIKARTV1_eulerian/PIKARTV1_eulerian_uncompressed_MERRA2_0p5deg_0p625deg_3hr_1987.nc /p/projects/climxtreme/bernal/ARTMIP/output/MERRA2/0p5deg_0p625deg_3hr/PIKARTV1_eulerian/PIKARTV1_eulerian_MERRA2_0p5deg_0p625deg_3hr_1987.nc Created on June 29, 2025 NCO: netCDF Operators version 5.3.0 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco, Citation = 10.1016/j.envsoft.2008.03.004)

Variables:	ar_mask: Grid time: lat: lon: _Unsigned: true standard_name: atmospheric_river_binary_mask long_name: Binary indicator equal to 1 for atmospheric river conditions units: _ChunkSizes: 240, 40, 48
	duration: Grid time: lat: lon: standard_name: duration_of_atmospheric_river_conditions long_name: Duration of uninterrupted atmospheric river conditions units: h _ChunkSizes: 240, 40, 48
	intensity: Grid time: lat: lon: _FillValue: NaN least_significant_digit: 4 standard_name: intensity_of_atmospheric_river_conditions long_name: Maximum vertically integrated water vapor transport during uninterrupted atmospheric river conditions units: kg m-1 s-1 _ChunkSizes: 240, 40, 48
	ivt: Grid time: lat: lon: _FillValue: NaN least_significant_digit: 4 standard_name: vertically_integrated_water_vapor_transport long_name: Magnitude of the vertically integrated water vapor transport during atmospheric river conditions units: kg m-1 s-1 _ChunkSizes: 240, 40, 48
	ivtu: Grid time: lat: lon: _FillValue: NaN least_significant_digit: 4 standard_name: eastward_component_of_vertically_integrated_water_vapor_transport long_name: Eastward component of the vertically integrated water vapor transport during atmospheric river conditions units: kg m-1 s-1 _ChunkSizes: 240, 40, 48
	ivtv: Grid time: lat: lon: _FillValue: NaN least_significant_digit: 4 standard_name: northward_component_of_vertically_integrated_water_vapor_transport long_name: Northward component of the vertically integrated water vapor transport during atmospheric river conditions units: kg m-1 s-1 _ChunkSizes: 240, 40, 48
	lat: Array of 32 bit Reals [lat = 0..360] lat: _FillValue: NaN standard_name: latitude long_name: Latitude units: degrees_north axis: Y _ChunkSizes: 361
	lon: Array of 32 bit Reals [lon = 0..575] lon: _FillValue: NaN standard_name: longitude long_name: Longitude units: degrees_east axis: X _ChunkSizes: 576
	rank: Grid time: lat: lon: _Unsigned: false standard_name: rank_of_atmospheric_river_conditions long_name: Rank of uninterrupted atmospheric river conditions according to the strength scale by Ralph et al., (2019) units: _ChunkSizes: 240, 40, 48
	time: Array of 32 bit Unsigned Integers [time = 0..2919] time: standard_name: time long_name: Time axis: T units: hours since 1940-01-01 calendar: proleptic_gregorian _ChunkSizes: 2920

For questions or comments about this dataset, contact the administrator of this server [Support] at: marwan@pik-potsdam.de

For questions or comments about the OPeNDAP service bundled with the TDS, email THREDDS support at: support-thredds@unidata.ucar.edu

DDS:

Dataset {
    Grid {
     ARRAY:
        Byte ar_mask[time = 2920][lat = 361][lon = 576];
     MAPS:
        UInt32 time[time = 2920];
        Float32 lat[lat = 361];
        Float32 lon[lon = 576];
    } ar_mask;
    Grid {
     ARRAY:
        Int16 duration[time = 2920][lat = 361][lon = 576];
     MAPS:
        UInt32 time[time = 2920];
        Float32 lat[lat = 361];
        Float32 lon[lon = 576];
    } duration;
    Grid {
     ARRAY:
        Float32 intensity[time = 2920][lat = 361][lon = 576];
     MAPS:
        UInt32 time[time = 2920];
        Float32 lat[lat = 361];
        Float32 lon[lon = 576];
    } intensity;
    Grid {
     ARRAY:
        Float32 ivt[time = 2920][lat = 361][lon = 576];
     MAPS:
        UInt32 time[time = 2920];
        Float32 lat[lat = 361];
        Float32 lon[lon = 576];
    } ivt;
    Grid {
     ARRAY:
        Float32 ivtu[time = 2920][lat = 361][lon = 576];
     MAPS:
        UInt32 time[time = 2920];
        Float32 lat[lat = 361];
        Float32 lon[lon = 576];
    } ivtu;
    Grid {
     ARRAY:
        Float32 ivtv[time = 2920][lat = 361][lon = 576];
     MAPS:
        UInt32 time[time = 2920];
        Float32 lat[lat = 361];
        Float32 lon[lon = 576];
    } ivtv;
    Float32 lat[lat = 361];
    Float32 lon[lon = 576];
    Grid {
     ARRAY:
        Byte rank[time = 2920][lat = 361][lon = 576];
     MAPS:
        UInt32 time[time = 2920];
        Float32 lat[lat = 361];
        Float32 lon[lon = 576];
    } rank;
    UInt32 time[time = 2920];
} eulerian_merra2/PIKART_V1.0_eulerian_MERRA2_0p5deg_0p625deg_3hr_1987.nc;

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