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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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Journal ArticleDOI
Global hydroclimatic response to tropical volcanic eruptions over the last millennium.
TL;DR: This article analyzed the global hydroclimatic response to all the tropical volcanic eruptions over the past millennium that were larger than the Mount Pinatubo eruption of 1991 using the Paleo Hydrodynamics Data Assimilation product (PHYDA).
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Teleconnections and relationship between the El Niño–Southern Oscillation (ENSO) and the Southern Annular Mode (SAM) in reconstructions and models over the past millennium
Christoph Dätwyler,Martin Grosjean,Nathan J. Steiger,Raphael Neukom,Raphael Neukom,Raphael Neukom +5 more
TL;DR: In this article, the authors used proxy-based reconstructions and last-millennium climate model simulations to investigate the relationship between the Southern Annular Mode (SAM) and the El Nino-Southern Oscillation (ENSO) over time.
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Assessing the robustness of Antarctic temperature reconstructions over the past 2 millennia using pseudoproxy and data assimilation experiments
François Klein,Nerilie J. Abram,Mark A. J. Curran,Mark A. J. Curran,Hugues Goosse,Sentia Goursaud,Sentia Goursaud,Valérie Masson-Delmotte,Andrew D. Moy,Andrew D. Moy,Raphael Neukom,Anais Orsi,Jesper Sjolte,Nathan J. Steiger,Barbara Stenni,Martin Werner +15 more
TL;DR: In this paper, Stenni et al. used pseudoproxy experiments and data assimilation experiments to assess the potential for reconstructing the Antarctic temperature over the last 2 millennia based on a database of stable oxygen isotopes in ice cores compiled in the framework of Antarctica2k.
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A pseudoproxy assessment of data assimilation for reconstructing the atmosphere-ocean dynamics of hydroclimate extremes
TL;DR: In this article, the authors explore whether or not data assimilation can be used to skillfully reconstruct global hydroclimate variability along with the driving climate dynamics through a set of idealized pseudoproxy experiments and find that the skill of such reconstructions is generally highest near the proxy sites.
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Multi-timescale data assimilation for atmosphere–ocean state estimates
TL;DR: In this article, the authors present a data assimilation approach that can explicitly incorporate proxy data at arbitrary timescales, and they find that atmosphere-ocean states are most skillfully reconstructed by incorporating proxies across multiple scales compared to using proxies at short (annual) or long (∼ ǫdecadal) timescale alone.