Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons
By M. Watkins, David Wiese, D. Yuan, Carmen Boening, F. Landerer. 2015
1,046 citations recorded by the source corpus.
Subfields: Geophysics, Molecular Biology, Oceanography
View Paper: https://www.semanticscholar.org/paper/e64c481cfd06cd8f093196476496c75a4199b22c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Geophysics
- Byron D. Tapley
- M. Watkins
- Srinivas V. Bettadpur
- H. Save
- David Wiese
- F. Landerer
- Bryant D Loomis
- Scott B. Luthcke
In Molecular Biology
- Byron D. Tapley
- H. Save
- Srinivas V. Bettadpur
- Bryant D Loomis
- David Wiese
- Scott B. Luthcke
- Robert Hallberg
- Kenneth Rachlin
In Oceanography
- Robert Hallberg
- David Wiese
- S. Griffies
- F. Landerer
- Byron D. Tapley
- H. Save
- Bryant D Loomis
- Anny Cazenave
Citations in the corpus
- Replacing GRACE/GRACE‐FO C30 With Satellite Laser Ranging: Impacts on Antarctic Ice Sheet Mass Change (2020, background): “14) approximately reproduces the time series of the JPL RL06 mascon solution (Watkins et al., 2015).”
- Measuring Global Ocean Heat Content to Estimate the Earth Energy Imbalance (2019, background): “(2016a) that is based on the JPL mascon product (Watkins et al., 2015).”
- Challenges and Prospects in Ocean Circulation Models (2019, background): “, 2018), GRACE measurements (Watkins et al., 2015; Save et al., 2016), and data assimilating models spanning annual to decadal time scales (Ponte et al.”
- Lake storage variation on the endorheic Tibetan Plateau and its attribution to climate change since the new millennium (2018, methodology): “5 degree scale factors simulated by the Community Land Model (CLM) [45] (supplementary table S2).”
- PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model (2017, methodology): “We used the JPL GRACE Mascon product RL05M (Wiese, 2015; Watkins et al., 2015; Wiese et al., 2016).”
- Climate-change–driven accelerated sea-level rise detected in the altimeter era (2018, background): “The Gravity Recovery and Climate Experiment (GRACE) mission provides estimates of the cryospheric contributions to the acceleration of sea-level rise, including Greenland, Antarctica, and small ice caps and mountain glaciers (22), although these measurements only start in 2002.”
- Extending the Global Mass Change Data Record: GRACE Follow‐On Instrument and Science Data Performance (2020, background): “…gravitational potential are derived in the form of unconstrained spherical harmonic geopotential coefficients (both degree and order 60 × 60 and 96 × 96), or for mass concentration blocks with a priori constraints to most effectively reduce errors (e.g., Save et al., 2016; Watkins et al., 2015).”
- Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution (2016, background): “, 2012], as well as mascon basis functions [Luthcke et al., 2013; Watkins et al., 2015].”
- Improved Earth Oblateness Rate Reveals Increased Ice Sheet Losses and Mass‐Driven Sea Level Rise (2019, methodology): “The level 3 global mascon products provided by the NASA Goddard Space Flight Center (GSFC), the Jet Propulsion Laboratory (JPL), and the Center for Space Research at the University of Texas (CSR) also utilize this C20 replacement approach (Loomis et al., 2019; Save et al., 2016; Watkins et al., 2015”
- High‐resolution CSR GRACE RL05 mascons (2016, methodology): “The Center for Space Research (CSR) mascon solutions, like JPL mascons [Watkins et al., 2015] and GSFC mascons [Luthcke et al., 2013], are global and can be used for all applications such as hydrology, oceanography, and the cryosphere without any postprocessing and/or filtering and without applying…”
- GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science (2018, methodology): “, 2011) (see supporting information Table S2), we can see that 1σ for GIA modeled Ċ20 is a full 50% of the SLR retrieved value, which is commonly used as a replacement for GRACE analysis (Chen, Wilson, et al., 2017; Watkins et al., 2015; Wouters et al., 2014).”