Accuracy of scaled GRACE terrestrial water storage estimates

By F. Landerer, S. Swenson. 2012

1,249 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Molecular Biology, Oceanography

View Paper: https://www.semanticscholar.org/paper/86709de905bb8ff61c528d2c6de3c0e84e2a00c3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

1. Srinivas V. Bettadpur
2. Byron D. Tapley
3. F. Landerer
4. H. Save
5. James S. Famiglietti
6. Matthew Rodell
7. Clark R. Wilson
8. David Wiese

In Molecular Biology

1. Byron D. Tapley
2. H. Save
3. Srinivas V. Bettadpur
4. James S. Famiglietti
5. Clark R. Wilson
6. Matthew Rodell
7. David Wiese
8. M. Watkins

In Oceanography

1. Byron D. Tapley
2. Srinivas V. Bettadpur
3. James S. Famiglietti
4. H. Save
5. F. Landerer
6. David Wiese
7. Clark R. Wilson
8. D. Chambers

Citations in the corpus

• High‐resolution modeling of human and climate impacts on global water resources (2016, neutral): “Figure 8 compares for the period 2003–2010 the simulated monthly terrestrial water storage (TWS) anomalies with those from the GRACE observations [Landerer and Swenson, 2012] for a number of major river basins influenced at different extents by human activities.”
• The Observed State of the Energy Budget in the Early Twenty-First Century (2015, methodology): “…(Susskind et al. 2011), atmospheric convergence C from MERRA and two water vapor transport datasets (Liu et al. 2006; Hilburn 2009), and estimated changes in terrestrial water storage dS from the Gravity Recovery and Climate Experiment (GRACE) (Swenson and Wahr 2002; Landerer and Swenson 2012).”
• High‐resolution CSR GRACE RL05 mascons (2016, methodology): “We perform regional and global comparison with the results from the spherical harmonic RL05 solutions from CSR postprocessed at GRACE Tellus [Swenson, 2012; Swenson and Wahr, 2006; Landerer and Swenson, 2012; Chambers, 2012; Chambers and Bonin, 2012; Chambers and Willis, 2010], RL05.”
• Reducing leakage error in GRACE-observed long-term ice mass change: a case study in West Antarctica (2015, background): “Spatial leakage tends to attenuate signal amplitudes and biases estimates ofmass loss (e.g., Chen et al. 2006, 2009; Guo et al. 2010; Landerer and Swenson 2012).”
• The Observed State of the Water Cycle in the Early Twenty-First Century (2015, methodology): “The sources of the TF13 terrestrial water balance components are GPCP for P, ERA-I for P and ET (averaged over 2003–10), Dai et al. (2009) for Q, and an off-the-shelf, gridded GRACE product for dS (Landerer and Swenson 2012).”
• Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution (2016, methodology): “However, we note that these basin-specific leakage errors are still substantially smaller than when conventional spherical harmonic postprocessing filters are applied [Landerer and Swenson, 2012].”
• Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1 (2019, methodology): “More details on the data processing and the comparison protocol with model simulations can be found in Landerer and Swenson (2012) and Decharme et al. (2019), respectively.”
• Lake storage variation on the endorheic Tibetan Plateau and its attribution to climate change since the new millennium (2018, background): “This is because (1) the CLM does not include lake or glacier components so the simulated surface storage variations on the CP may be highly uncertain, and (2) the least-square correction involved in the factor calculation tends to be dominated by the annual cycles of water storage variations [45, 57”