Description
Scientists at NASA Goddard Space Flight Center generate groundwater and soil moisture drought indicators each week. They are based on terrestrial water storage observations derived from GRACE-FO satellite data and integrated with other observations, using a sophisticated numerical model of land surface water and energy processes.
This data product is GRACE Data Assimilation for Drought Monitoring (GRACE-DA-DM) Global Version 3.0 from a global GRACE and GRACE-FO data assimilation and drought indicator product generation (Li et al., 2019). It varies from the other GRACE-DA-DM products which are from the U.S. GRACE-based drought indicator product generation (Houborg et al., 2012).
The GRACE-DA-DM Global V3.0 is similar to the GRACE-DA-DM U.S. V4.0 product. Both products are based on the Catchment Land Surface Model (CLSM) Fortuna 2.5 version simulation that was created within the Land Information System data assimilation framework (Kumar et al., 2016). GRACE-DA-DM Global V3.0 drought indicator maps are derived from the GLDAS_CLSM025_DA1_D product, at 0.25 degree resolution, forced by ECMWF meteorological data, and assimilated RL06 GRACE and GRACE-FO data from the University of Texas at Austin (Save et al., 2016; Save, 2020). The GRACE-DA-DM U.S. V4.0 is at 0.125 degree, which is based on a model simulation (not published at GES DISC) forced by NLDAS-2 meteorological data and assimilated with RL06 GRACE/GRACE-FO data.
More information on GRACE-DA-DM U.S. V4.0 and previous versions of the data can be found in the README.
The GRACE-DA-DM Global V3.0 data product contains three drought indicators: Groundwater Percentile, Root Zone Soil Moisture Percentile, and Surface Soil Moisture Percentile. These drought indicators express wet or dry conditions as a percentile, indicating the probability of occurrence within the period of record from 1948 to 2014. The drought indicator data are daily, but available only one day (Monday) per week. The data have a spatial resolution of 0.25 x 0.25 degree with global coverage (60S, 180W, 90N, 180E), and a temporal range from February 2003 to present (with a 3-6 month latency). The data are archived in NetCDF format.
The GRACE-DA-DM is an operational project which produces groundwater and soil moisture drought indicators each week. The operational data is available weekly with a 2-9 day latency from the NASA GRACE project home page found under the Documentation tab. The GRACE-DA-DM data distributed here at GESDISC is the final archive version, which is generated after the latest GRACE-FO data are available.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| This dataset's landing page | HTML | Access the dataset landing page from the GES DISC website. | Open resource |
| View documentation related to this dataset | HTML | GES DISC Hydrology Documentation | Open resource |
| View this dataset's how-to documentation | HTML | How to read and plot the data. | Open resource |
| Get a related visualization | PNG | Groundwater storage percentile for August 03, 2020, from Groundwater and Soil Moisture Conditions from GRACE and GRACE-FO Data Assimilation L4 7-days 0.25 x 0.25 degree V3.0 Global (GRACEDADM_CLSM025GL_7D_3.0) | Open resource |
| Get a related visualization through GIOVANNI | HTML | The GES-DISC Interactive Online Visualization ANd aNalysis Interface (Giovanni) is a web-based tool that allows users to interactively visualize and analyze data. | Open resource |
| Download this dataset through a directory map | HTML | Access the data via HTTPS. | Open resource |
| View this dataset's read me document | README Document | Open resource | |
| Use OPeNDAP to access the dataset's data | HTML | Access the data via the OPeNDAP protocol. | Open resource |
| Use THREDDS DATA to download the dataset's data | HTML | Time aggregated THREDDS Data Server (TDS) | Open resource |
| The dataset's project home page | HTML | Project Web Site for Groundwater and Soil Moisture Conditions from GRACE Data Assimilation | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset through Earthdata Search | HTML | Use the Earthdata Search to find and retrieve data sets across multiple data centers. | Open resource |