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.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

221 to 230 of 2,252 Results
Network Common Data Form - 1.0 MB - MD5: 4b70e8bfd9eacea177dbdb169493077e
Plain Text - 141.9 KB - MD5: 3d44d9f9b28e9fe6c9e68d529b438031
Network Common Data Form - 864.5 KB - MD5: 679bbcbcf6e8d628c535e3f0d800af1d
Plain Text - 141.7 KB - MD5: 7072339dba5fc9e986f1a7ebed91b4a1
Network Common Data Form - 1.0 MB - MD5: e6da7a09935a0307575bff88f4a944e3
Plain Text - 134.0 KB - MD5: 65f42559374c3b2711bfe12448e359c7
Network Common Data Form - 1.1 MB - MD5: c538e3decd3fcb7a3ef96bf93a517036
Plain Text - 186.0 KB - MD5: 9963b1f9ff37a034ee85d56f293db80b
Network Common Data Form - 897.5 KB - MD5: ee4b4f13063f671d84e827623795f05b
Plain Text - 161.7 KB - MD5: efe8d1e7f32e2c08409a4b6b4183a478
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.