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@@ -8,7 +8,7 @@ The offline Noah-MP LSM is a standalone, uncoupled model used to execute land su
 
 The Noah-MP LSM has evolved through community efforts to pursue and refine a modern-era LSM suitable for use in the National Centers for Environmental Prediction (NCEP) operational weather and climate prediction models. This collaborative effort continues with participation from entities such as NCAR, NCEP, NASA, and university groups. The development branch of the Land DA System is continually evolving as the system undergoes open development. The latest Land DA release (v1.2.0) represents a snapshot of this continuously evolving system. 
 
-The Land DA System User's Guide associated with the development branch is at: https://land-da.readthedocs.io/en/develop/, while the guide specific to the Land DA v1.2.0 release can be found at: https://land-da-workflow.readthedocs.io/en/release-public-v1.2.0/. Users may download data for use with the most recent release from the [Land DA data bucket](https://noaa-ufs-land-da-pds.s3.amazonaws.com/index.html#current_land_da_release_data/v1.2.0). The [Land DA Docker Hub](https://hub.docker.com/r/noaaepic/ubuntu20.04-intel-landda) hosts Land DA containers. These containers package the Land DA System together with all its software dependencies for an easier experience building and running Land DA.
+The Land DA System User's Guide associated with the development branch is at: https://land-da-workflow.readthedocs.io/en/develop/, while the guide specific to the Land DA v1.2.0 release can be found at: https://land-da-workflow.readthedocs.io/en/release-public-v1.2.0/. Users may download data for use with the most recent release from the [Land DA data bucket](https://registry.opendata.aws/noaa-ufs-land-da/). The [Land DA Docker Hub](https://hub.docker.com/r/noaaepic/ubuntu20.04-intel-landda) hosts Land DA containers. These containers package the Land DA System together with all its software dependencies for an easier experience building and running Land DA.
 
 For any publications based on work with the UFS Offline Land Data Assimilation System, please include a citation to the DOI below: