Please Note: This dataset is retired, and is displayed for archive purposes only, and may not reflect the most updated information.
However, a newer version exists.
CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04. DOI: https://doi.org/10.5067/GFLND-3AC64
For Version History information click here >>
However, a newer version exists.
CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04. DOI: https://doi.org/10.5067/GFLND-3AC64
For Version History information click here >>
CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface-Mass Anomaly Release 6.0 in netCDF/ASCII/GeoTIFF Formats (GFLND)
(TELLUS_GRFO_L3_CSR_RL06_LND)
1 Publication Cited this Dataset
Citation metrics available for years (2014-2022)
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Publications citing CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface-Mass Anomaly Release 6.0 in netCDF/ASCII/GeoTIFF Formats (GFLND)
Citation metrics available for years (2014-2022)
Year | Citation |
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2021 | Laboratory, N., and J. Propulsion. 2019a. “CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface-Mass Anomaly Release 6.0 In netCDF/ASCII/GeoTIFF Formats.” NASA Physical Oceanography DAAC. https:// podaac.jpl.nasa.gov/dataset/TELLUS_GRFO_L3_CSR_RL06_ LND Integrating InSAR and deep-learning for modeling and predicting subsidence over the adjacent area of Lake Urmia, Iran, Journal ,10.1080/15481603.2021.1991689 |
DOI | 10.5067/GFLND-3AC06 |
Short Name | TELLUS_GRFO_L3_CSR_RL06_LND |
Description | The CSR monthly land mass grids contain land water mass anomaly given as equivalent water thickness derived from GRACE time-variable gravity observations during the specified timespan in ASCII/netCDF/GeoTIFF formats. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1) and C20 (degree-20) are incorporated. Post-processing filters have been applied to reduce correlated errors. From the RL06 version, all GRACE-FO products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PO.DAAC metadata best practices. |
Version | 6.0 |
Dataset Type | DEPRECATED |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Please contact podaac@podaac.jpl.nasa.gov for more info.
Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
Citation | Felix Landerer. 2019. TELLUS_GRFO_L3_CSR_RL06_LND. Ver. RL06v01. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GFLND-3AC06
For more information see Data Citations and Acknowledgments.
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Journal Reference | Landerer F. W. and S. C. Swenson, Accuracy of scaled GRACE terrestrial water storage estimates. Water Resources Research, Vol 48, W04531, 11 PP, doi:10.1029/2011WR011453, 2012. . |