Inferring surface heat flux distributions guided by a global seismic model: particular application to Antarctica
By N. M. Shapiro, M. Ritzwoller. 2004
555 citations recorded by the source corpus.
Subfields: Atmospheric Science, Geophysics
View Paper: https://www.semanticscholar.org/paper/b9a83db379554cfb183edc76939be9afb149eede
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In Atmospheric Science
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In Geophysics
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Citations in the corpus
- A roadmap for Antarctic and Southern Ocean science for the next two decades and beyond (2014, background): “Geothermal heat flux, virtually unknown across Antarctica (Shapiro & Ritzwoller 2004, Carson et al. 2014), is a key control on ice behaviour and subglacial hydrology (Q.27) (Llubes et al. 2006) and may indicate the age and extent of crustal terranes and sedimentary basins (Q.36).”
- Analysis and Mapping of an Updated Terrestrial Heat Flow Data Set (2019, background): “tectono-thermal age from the USGS (1997) map, which distinguishes six categories: Archean (>2,500 Ma), early Proterozoic (1,600–2,500 Ma), middle Proterozoic (900–1,600 Ma), late Proterozoic, (570–900 Ma), Paleozoic (245–570 Ma), and Mesozoic-Cenozoic (0–245 Ma).”
- Antarctic subglacial conditions inferred from a hybrid ice sheet/ice stream model (2010, methodology): “The first one uses a global seismic model of the crust and the upper mantle to guide the extrapolation of existing heat-flow measurements to regions where such measurements are rare or absent (Shapiro and Ritzwoller, 2004).”
- Dependence of century-scale projections of the Greenland ice sheet on its thermal regime (2013, methodology): “We therefore adjust the geothermal flux map from Shapiro and Ritzwoller (2004) with values similar to Greve (2005) for Dye3 and GRIP.”
- Effect of GIA models with 3D composite mantle viscosity on GRACE mass balance estimates for Antarctica (2015, methodology): “In the HF approach surface heat flow maps are used from Shapiro and Ritzwoller (2004).”
- Heat Flux Distribution of Antarctica Unveiled (2017, methodology): “Although the oldest study (Shapiro & Ritzwoller, 2004) (Figure 4d) shows the largest mean difference, the standard deviation is lower than Fox Maule et al. (2005) and An et al. (2015a) (Figures 4b and 4c), indicating the broad pattern of spatial variation is resolved.”
- Global map of solid Earth surface heat flow (2013, methodology): “Proxies that have been used successfully by others to estimate heat flow include shear wave velocities in the upper mantle [Shapiro and Ritzwoller, 2004] and the strength of the magnetic field [Maule et al., 2005].”