This dataverse provides

  • a global database of water vapor atmospheric rivers (ARs) based on multiple reanalysis products;
  • a global database of aerosol ARs based on the MERRA-2 reanalysis;
  • the AR detection code; and
  • codes for a suite of AR model evaluation metrics.

Water vapor AR detection is based on the tARget algorithm originally introduced in Guan and Waliser (2015, JGR; Version 1), refined in Guan et al. (2018, JHM; Version 2), enhanced in Guan and Waliser (2019, JGR; Version 3) with tracking capability, and further refined in Guan and Waliser (2024, Sci. Data; Version 4) to better handle "zonal" ARs as well as ARs in tropical and polar areas.

Aerosol AR detection is largely based on the tARget algorithm originally introduced in Guan and Waliser (2015, JGR; Version 1) for water vapor ARs, with a few modifications as described in Chakraborty et al. (2021, GRL) and Chakraborty et al. (2022, ACP).

For a list of studies using the AR data or the AR detection algorithm/code from this dataverse, see here.

Latest version of the AR data/code:

AR data and code were developed with support from NASA and the California Department of Water Resources, and are provided here in consistency with the communities' and NASA’s interest in open-source science.

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31 to 40 of 2,252 Results
Jun 2, 2023
GUAN, BIN, 2021, "[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 3", https://doi.org/10.25346/S6/B89KXF, UCLA Dataverse, V4
[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 3
MATLAB Source Code - 73.5 KB - MD5: 0de221867bb590051fb242041ace1888
Jun 2, 2023
GUAN, BIN, 2021, "[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 2", https://doi.org/10.25346/S6/PSP5N0, UCLA Dataverse, V3
[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 2
MATLAB Source Code - 49.3 KB - MD5: de811fbde6487b21c3ae3eeb1dd68c9b
Feb 10, 2023
GUAN, BIN, 2023, "[Data] Global Atmospheric River Scale Database", https://doi.org/10.25346/S6/MQRHJE, UCLA Dataverse, V1
[Data] Global Atmospheric River Scale Database
Unknown - 1.0 GB - MD5: daac0494c64fb73c301d0d2c4a394622
Unknown - 1.0 GB - MD5: 1c8360caf3ac14c41a534fd40a21eaf2
Unknown - 559.9 MB - MD5: 32682277ce730a854a37eac111f58f05
Unknown - 1.0 GB - MD5: 582854410640ea91ed02ee2766719c71
Unknown - 1.0 GB - MD5: 58d2bd4f7043e427bdf095a61f933647
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