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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1 to 10 of 2,252 Results
May 18, 2024
GUAN, BIN, 2024, "[Data] Global Atmospheric Rivers Database, Version 4", https://doi.org/10.25346/S6/ZSW7UN, UCLA Dataverse, V4
[Data] Global Atmospheric Rivers Database, Version 4
Plain Text - 403 B - MD5: de35c0365a4a7d00c3238bc2ba4e1508
Unknown - 1.3 GB - MD5: 33aa8017878cc7337dc37097aeb47efa
Unknown - 1.3 GB - MD5: cea1e915644c61eda04131bd2595ba4e
May 5, 2024
GUAN, BIN, 2024, "[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 4", https://doi.org/10.25346/S6/SF4AFW, UCLA Dataverse, V2
[Code] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 4
Plain Text - 2.7 KB - MD5: 22f6ccb1536bb1354d362b67a7eb3030
Unknown - 1.8 GB - MD5: 7c51d99782469e471e160281bbd178ff
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Unknown - 1.8 GB - MD5: a8072d84e0a888e20768f0b3508ee84e
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