CDDIS: NASA's Archive of Space Geodesy Data
MEaSUREs Products Change in Water Storage Time Series

doi: 10.5067/GNSS/gnss_measures_water_storage_001

Data Center Citation

Noll, Carey E., The Crustal Dynamics Data Information System: A resource to support scientific analysis using space geodesy, Advances in Space Research, Volume 45, Issue 12, 15 June 2010, Pages 1421-1440, ISSN 0273-1177, http://dx.doi.org/10.1016/j.asr.2010.01.018.

Data Citation

MEaSUREs Products change in water storage time series product, Greenbelt, MD, USA: NASA Crustal Dynamics Data Information System (CDDIS), Accessed [[enter user data access date]] at doi:10.5067/GNSS/gnss_measures_water_storage_001.

Other standard citation formats may be used for this data set and can be found at the DOI Citation Formatter website.

More information about CDDIS data citations and acknowledgments is available.

Summary

  • Name: MEaSUREs Products change in water storage time series product
  • Format: SINEX
  • Spatial Coverage: Global
  • Temporal Coverage: January 2006 through July 2021
  • Temporal Resolution: Daily
  • File Size: Compressed file - 124 MB; individual files, 644 KB and 842 KB
  • Platforms: multiple GNSS

Description*

Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA's Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and Jet Propulsion Laboratory/California Institute of Technology (JPL/Caltech). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S.

The water storage product is a Weighted Mean Combination of JPL and SIO solutions. The water storage product is composed of seven components as described below (atmosphere, ground, mass, reservoir, snow, soil, water.gps):

  • Change in total water storage inferred from GPS – "water.gps"
  • Change in equivalent water thickness – "atmosphere"
  • Change in snow water equivalent (SWE) – "snow"

    Snow depth and snow water equivalent (SWE) data are available from NOAA's National Weather Service's National Operational Hydrologic Remote Sensing Center (NOHRSC) SNOw Data Assimilation System (SNODAS). https://nsidc.org/data/g02158
  • Change in soil moisture content (SMC) – "soil"

    LDAS_NOAH is a monthly climatology data set contains a series of land surface parameters, including Soil Moisture Content (SMC), simulated from the Noah land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). https://disc.gsfc.nasa.gov/datasets/NLDAS_NOAH0125_MC_V002/summary
  • Change in artificial reservoir surface water – "reservoir"

    These hydrological data are from the California Data Exchange Center (CDEC) Weather Gauging Stations, including automatic snow reporting gages for the Cooperative Snow Surveys Program and precipitation and river stage sensors for flood forecasting. https://www.calfish.org/ProgramsData/ReferenceLayersNaturalResources/(CDEC)WeatherGagingStations.aspx
  • Change in total mass – "mass"

    Total mass = water.gps + reservoir + atmosphere
  • Change in water in the ground not in hydrology models – "ground"

    Inferred to be water.gps - snow - soil moisture 

* Reference: Argus, D. F., Landerer, F. W., Wiese, D. N., Martens, H. R., Fu, Y., Famiglietti, J. S., … Watkins, M. M. (2017). Sustained water loss in California's mountain ranges during severe drought from 2012 to 2015 inferred from GPS. Journal of Geophysical Research: Solid Earth, 122, 10,559– 10,585. https://doi.org/10.1002/2017JB014424

Data Access

The MEaSUREs Products change in water storage time series products are online:

Append the filename to the base directory as follows:

WaterStorage_YYYYMMDD_combwm.tar.gz

as described in the table below.

Code Meaning
YYYY4-digit year
MM2-digit month
DD2-digit day of month
.tar Unix tar compressed file
.gz gzipped compressed file

Documentation

https://cddis.nasa.gov/Data_and_Derived_Products/GNSS/MEaSUREs_products.html

See the ESESES Algorithm Theoretical Basis Document (ATBD) for detailed descriptions of the products: http://garner.ucsd.edu/pub/measuresESESES_products/ATBD/ESESES-ATBD.pdf