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Xiaolan L. Wang
Researcher at Environment Canada
Publications - 77
Citations - 10190
Xiaolan L. Wang is an academic researcher from Environment Canada. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 37, co-authored 74 publications receiving 8746 citations. Previous affiliations of Xiaolan L. Wang include Royal Netherlands Meteorological Institute & Meteorological Service of Canada.
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Journal ArticleDOI
The Twentieth Century Reanalysis Project
Gilbert P. Compo,Gilbert P. Compo,Jeffrey S. Whitaker,Prashant D. Sardeshmukh,Prashant D. Sardeshmukh,N. Matsui,N. Matsui,Rob Allan,Xiaojun Yin,Byron E. Gleason,Russell S. Vose,Glenn Rutledge,P. Bessemoulin,Stefan Brönnimann,Stefan Brönnimann,Manola Brunet,Manola Brunet,R. Crouthamel,Andrea Grant,Pavel Ya. Groisman,Pavel Ya. Groisman,Philip Jones,Michael C. Kruk,Andries Kruger,Gareth J. Marshall,Maurizio Maugeri,H. Mok,Øyvind Nordli,Tom Ross,Ricardo M. Trigo,Xiaolan L. Wang,Scott D. Woodruff,Steven J. Worley +32 more
TL;DR: The Twentieth Century Reanalysis (20CR) dataset as discussed by the authors provides the first estimates of global tropospheric variability, and of the dataset's time-varying quality, from 1871 to the present at 6-hourly temporal and 2° spatial resolutions.
Journal ArticleDOI
EC-Earth V2.2: description and validation of a new seamless earth system prediction model
Wilco Hazeleger,Wilco Hazeleger,Xiaolan L. Wang,Camiel Severijns,Simona Stefanescu,Richard Bintanja,Andreas Sterl,Klaus Wyser,Tido Semmler,Shuting Yang,B. J. J. M. van den Hurk,T. P. C. van Noije,E. C. van der Linden,K. van der Wiel +13 more
TL;DR: EC-Earth, a new Earth system model based on the operational seasonal forecast system of the European Centre for Medium-Range Weather Forecasts (ECMWF), is presented in this paper.
Journal ArticleDOI
Changes of Extreme Wave Heights in Northern Hemisphere Oceans and Related Atmospheric Circulation Regimes
Xiaolan L. Wang,Val R. Swail +1 more
TL;DR: In this article, the authors assessed trends in seasonal extremes (90- and 99-percentiles) of significant wave height (SWH) in the North Atlantic and the North Pacific, as simulated in a 40-yr global wave hindcast using the National Centers for Environmental Prediction-National Center for Atmospheric Research reanalysis wind fields.
Journal ArticleDOI
Projected changes in wave climate from a multi-model ensemble
TL;DR: In this paper, the first community-derived multi-model ensemble of wind-wave climate projections show agreement over extended regions of the global ocean and large uncertainty in available wave-climate projections is found to be due to downscaling methods.
Journal ArticleDOI
IMILAST: A Community Effort to Intercompare Extratropical Cyclone Detection and Tracking Algorithms
Urs Neu,Mirseid Akperov,Nina Bellenbaum,Rasmu S. Benestad,Richard Blender,Rodrigo Caballero,Angela Cocozza,Helen F. Dacre,Yang Feng,Klaus Fraedrich,Jens Grieger,Sergey Gulev,John Hanley,Tim Hewson,Masaru Inatsu,Kevin Keay,Sarah F. Kew,Ina Kindem,Gregor C. Leckebusch,Margarida L. R. Liberato,Piero Lionello,Igor I. Mokhov,Joaquim G. Pinto,Christoph C. Raible,Marco Reale,Irina Rudeva,Mareike Schuster,Ian Simmonds,Mark R. Sinclair,Michael Sprenger,Natalia Tilinina,Isabel F. Trigo,Sven Ulbrich,Uwe Ulbrich,Xiaolan L. Wang,Heini Wernli +35 more
TL;DR: In this article, the variability of results from different automated methods of detection and tracking of extratropical cyclones is assessed in order to identify uncertainties related to the choice of method.