S
Sonya K. Miller
Researcher at Pennsylvania State University
Publications - 33
Citations - 2896
Sonya K. Miller is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Stratosphere & Tropospheric ozone. The author has an hindex of 20, co-authored 32 publications receiving 2483 citations. Previous affiliations of Sonya K. Miller include Business International Corporation & Goddard Space Flight Center.
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Proxy-based reconstructions of hemispheric and global surface temperature variations over the past two millennia
Michael E. Mann,Zhihua Zhang,Malcolm K. Hughes,Raymond S. Bradley,Sonya K. Miller,Scott Rutherford,Fenbiao Ni +6 more
TL;DR: The results extend previous conclusions that recent Northern Hemisphere surface temperature increases are likely anomalous in a long-term context to at least the past 1,700 years, but with additional strong caveats.
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Atlantic and Pacific multidecadal oscillations and Northern Hemisphere temperatures
TL;DR: A semi-empirical approach that combines climate observations and model simulations to estimate Atlantic- and Pacific-based internal multidecadal variability (termed “AMO” and “PMO,” respectively) is applied and the AMO and PMO are found to explain a large proportion of internal variability in Northern Hemisphere mean temperatures.
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Influence of Anthropogenic Climate Change on Planetary Wave Resonance and Extreme Weather Events
Michael E. Mann,Stefan Rahmstorf,Kai Kornhuber,Byron A. Steinman,Sonya K. Miller,Dim Coumou,Dim Coumou +6 more
TL;DR: In this article, a specific fingerprint in the zonal mean surface temperature profile that is associated with quasi-resonant amplification of synoptic-scale waves with that wavenumber range becoming trapped within an effective mid-latitude atmospheric waveguide was identified.
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Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures
Kevin Cowtan,Zeke Hausfather,Ed Hawkins,Peter G. Jacobs,Michael E. Mann,Sonya K. Miller,Byron A. Steinman,Martin B. Stolpe,Robert G. Way +8 more
TL;DR: The authors quantifies a systematic bias in model-observation comparisons arising from differential warming rates between sea surface temperatures and surface air temperatures over oceans, and a further bias arises from the treatment of temperatures in regions where the sea ice boundary has changed.
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On forced temperature changes, internal variability, and the AMO
TL;DR: In this paper, the authors estimate the low-frequency internal variability of NH mean temperature using observed temperature variations, which include both forced and internal variability components, and several alternative model simulations of the (natural + anthropogenic) forced component alone.