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

1,591 to 1,600 of 2,252 Results
Plain Text - 159.3 KB - MD5: 0cb6c9c45da56ad19f25cdd97c9c16df
Network Common Data Form - 1.3 MB - MD5: 6f2bf889053f15929632c799cd8124cd
Plain Text - 269.7 KB - MD5: b98513ac57da6f97e5b6d89c47b01c75
Network Common Data Form - 1.1 MB - MD5: 3eafba6bda7ff35860e37274d3ca595d
Plain Text - 199.4 KB - MD5: 4b34d7ab25d31c5d7470e39cf41257b3
Network Common Data Form - 1.2 MB - MD5: 2f68066de4f22e1c77a99c95ccb17235
Plain Text - 236.1 KB - MD5: 892338bac054b0e703bf8a5987885db9
Network Common Data Form - 899.8 KB - MD5: 2a9bb09ded2c6f97efabc5dd1209a523
Plain Text - 165.8 KB - MD5: a2a50c3fe396505da9b974734a233993
Network Common Data Form - 1.3 MB - MD5: 9651d584aff0d2410172fa56a44f403e
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.