Raphael Neukom

Raphael Neukom

Auto-generated profile, based on publicly available information

Raphael Neukom

Institute of Geography and Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
21 April 2013 in Nature Geoscience
Verified
Journal Article
Closed access
PDF file
MAMoinuddin Ahmed
Moinuddin Ahmed
KAKevin J Anchukaitis
Kevin J Anchukaitis
AAAsfawossen Asrat
Asfawossen Asrat
HBHemant P Borgaonkar
Hemant P Borgaonkar
MBMartina Braida
Martina Braida
EZEduardo Zorita
Eduardo Zorita

24 July 2019 in Nature
Verified
Journal Article
Closed access
PDF file
RNRaphael Neukom
Raphael Neukom
NSNathan Steiger
Nathan Steiger
JGJuan José Gómez-Navarro
Juan José Gómez-Navarro
JWJianghao Wang
Jianghao Wang
JWJohannes P. Werner
Johannes P. Werner

24 July 2019 in Nature Geoscience
Verified
Journal Article
Closed access
PDF file
PCPAGES 2k Consortium
PAGES 2k Consortium
RNRaphael Neukom
Raphael Neukom
LCLuis A. Barboza Chinchilla
Luis A. Barboza Chinchilla
MEMichael P. Erb
Michael P. Erb
FSFeng Shi
Feng Shi
LGLucien von Gunten
Lucien von Gunten

11 July 2017 in Scientific Data
Verified
Journal Article
Open access
PDF file
PCPAGES2k Consortium
PAGES2k Consortium
JEJulien Emile-Geay
Julien Emile-Geay
NMNicholas P. McKay
Nicholas P. McKay
DKDarrell S. Kaufman
Darrell S. Kaufman
LGLucien von Gunten
Lucien von Gunten
JZJens Zinke
Jens Zinke
Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850–2014. Global temperature composites show a remarkable degree of coherence between high- and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.

30 March 2014 in Nature Climate Change
Verified
Journal Article
Closed access
RNRaphael Neukom
Raphael Neukom
JGJoëlle Gergis
Joëlle Gergis
DKDavid J. Karoly
David J. Karoly
HWHeinz Wanner
Heinz Wanner
MCMark Curran
Mark Curran
DFDavid Frank
David Frank

17 November 2017 in Climate of the Past
Verified
Journal Article
Open access
PDF file
BSBarbara Stenni
Barbara Stenni
MCMark A. J. Curran
Mark A. J. Curran
NANerilie J. Abram
Nerilie J. Abram
AOAnais Orsi
Anais Orsi
SGSentia Goursaud
Sentia Goursaud
MFMassimo FREZZOTTI
Massimo FREZZOTTI
Climate trends in the Antarctic region remain poorly characterized, owing to the brevity and scarcity of direct climate observations and the large magnitude of interannual to decadal-scale climate variability. Here, within the framework of the PAGES Antarctica2k working group, we build an enlarged database of ice core water stable isotope records from Antarctica, consisting of 112 records. We produce both unweighted and weighted isotopic (δ18O) composites and temperature reconstructions since 0 CE, binned at 5- and 10-year resolution, for seven climatically distinct regions covering the Antarctic continent. Following earlier work of the Antarctica2k working group, we also produce composites and reconstructions for the broader regions of East Antarctica, West Antarctica and the whole continent. We use three methods for our temperature reconstructions: (i) a temperature scaling based on the δ18O–temperature relationship output from an ECHAM5-wiso model simulation nudged to ERA-Interim atmospheric reanalyses from 1979 to 2013, and adjusted for the West Antarctic Ice Sheet region to borehole temperature data, (ii) a temperature scaling of the isotopic normalized anomalies to the variance of the regional reanalysis temperature and (iii) a composite-plus-scaling approach used in a previous continent-scale reconstruction of Antarctic temperature since 1 CE but applied to the new Antarctic ice core database. Our new reconstructions confirm a significant cooling trend from 0 to 1900 CE across all Antarctic regions where records extend back into the 1st millennium, with the exception of the Wilkes Land coast and Weddell Sea coast regions. Within this long-term cooling trend from 0 to 1900 CE, we find that the warmest period occurs between 300 and 1000 CE, and the coldest interval occurs from 1200 to 1900 CE. Since 1900 CE, significant warming trends are identified for the West Antarctic Ice Sheet, the Dronning Maud Land coast and the Antarctic Peninsula regions, and these trends are robust across the distribution of records that contribute to the unweighted isotopic composites and also significant in the weighted temperature reconstructions. Only for the Antarctic Peninsula is this most recent century-scale trend unusual in the context of natural variability over the last 2000 years. However, projected warming of the Antarctic continent during the 21st century may soon see significant and unusual warming develop across other parts of the Antarctic continent. The extended Antarctica2k ice core isotope database developed by this working group opens up many avenues for developing a deeper understanding of the response of Antarctic climate to natural and anthropogenic climate forcings. The first long-term quantification of regional climate in Antarctica presented herein is a basis for data–model comparison and assessments of past, present and future driving factors of Antarctic climate.