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Nathan J. Steiger

Researcher at Lamont–Doherty Earth Observatory

Publications -  33
Citations -  1156

Nathan J. Steiger is an academic researcher from Lamont–Doherty Earth Observatory. The author has contributed to research in topics: Climate model & Pseudoproxy. The author has an hindex of 13, co-authored 26 publications receiving 797 citations. Previous affiliations of Nathan J. Steiger include University of Washington & Hebrew University of Jerusalem.

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No evidence for globally coherent warm and cold periods over the preindustrial Common Era

TL;DR: No evidence for preindustrial globally coherent cold and warm epochs is found, indicating that preindustrial forcing was not sufficient to produce globally synchronous extreme temperatures at multidecadal and centennial timescales, and provides strong evidence that anthropogenic global warming is not only unparalleled in terms of absolute temperatures, but also unprecedented in spatial consistency within the context of the past 2,000 years.
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The last millennium climate reanalysis project: Framework and first results

TL;DR: In this article, the authors use linear, univariate forward models (PSMs) that map climate variables to proxy measurements by fitting proxy data to 2m air temperature from gridded instrumental temperature data; the linear PSMs are then used to predict proxy values from the prior estimate.
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Comparing proxy and model estimates of hydroclimate variability and change over the Common Era

Jason E. Smerdon, +54 more
- 20 Dec 2017 - 
TL;DR: In this article, a review of the principal proxy data available for hydroclimatic reconstructions over the Common Era (CE) and last-millennium model simulations is presented.
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Assimilation of Time-Averaged Pseudoproxies for Climate Reconstruction

TL;DR: In this article, the efficacy of a novel ensemble data assimilation (DA) technique is examined in the climate field reconstruction (CFR) of surface temperature, where a minimalistic, computationally inexpensive DA technique is employed that requires only a static ensemble of climatologically plausible states.
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A reconstruction of global hydroclimate and dynamical variables over the Common Era

TL;DR: This database, called the Paleo Hydrodynamics Data Assimilation product (PHYDA), will provide a critical new platform for investigating the causes of past climate variability and extremes, while informing interpretations of future hydroclimate projections.