Peter Wadhams

Dr. Peter Wadhams

1. Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, Cambridge CB3 0WA, UK
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Research Focus & Metrics

Academic Career Length

41Years (1986-Present)

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

Representative Publications

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16 April 2018 in Journal of Geophysical Research: Oceans
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JTJim Thomson
Jim Thomson
SAStephen Ackley
Stephen Ackley
FGFanny Girard‐Ardhuin
Fanny Girard‐Ardhuin
FAFabrice Ardhuin
Fabrice Ardhuin
ABAlexander Babanin
Alexander Babanin
Peter WadhamsPeter Wadhams
Peter Wadhams
A large collaborative program has studied the coupled air‐ice‐ocean‐wave processes occurring in the Arctic during the autumn ice advance. The program included a field campaign in the western Arctic during the autumn of 2015, with in situ data collection and both aerial and satellite remote sensing. Many of the analyses have focused on using and improving forecast models. Summarizing and synthesizing the results from a series of separate papers, the overall view is of an Arctic shifting to a more seasonal system. The dramatic increase in open water extent and duration in the autumn means that large surface waves and significant surface heat fluxes are now common. When refreezing finally does occur, it is a highly variable process in space and time. Wind and wave events drive episodic advances and retreats of the ice edge, with associated variations in sea ice formation types (e.g., pancakes, nilas). This variability becomes imprinted on the winter ice cover, which in turn affects the melt season the following year.

16 November 2017 in Journal of Geophysical Research: Oceans
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SCSukun Cheng
Sukun Cheng
WRW. Erick Rogers
W. Erick Rogers
JTJim Thomson
Jim Thomson
MSMadison Smith
Madison Smith
MDMartin J. Doble
Martin J. Doble
HAYLEY SHENHAYLEY SHEN
HAYLEY SHEN

17 February 2006 in Geophysical Research Letters
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Peter WadhamsPeter Wadhams
Peter Wadhams
JWJ. P. Wilkinson
J. P. Wilkinson
SMS. D. McPhail
S. D. McPhail

28 October 2017 in AMBIO
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JWJeremy Wilkinson
Jeremy Wilkinson
CJ Beegle-KrauseCJ Beegle-Krause
CJ Beegle-Krause
KEKarl-Ulrich Evers
Karl-Ulrich Evers
NHNicholas Hughes
Nicholas Hughes
ALAlun Lewis
Alun Lewis
Peter WadhamsPeter Wadhams
Peter Wadhams
Renewed political and commercial interest in the resources of the Arctic, the reduction in the extent and thickness of sea ice, and the recent failings that led to the Deepwater Horizon oil spill, have prompted industry and its regulatory agencies, governments, local communities and NGOs to look at all aspects of Arctic oil spill countermeasures with fresh eyes. This paper provides an overview of present oil spill response capabilities and technologies for ice-covered waters, as well as under potential future conditions driven by a changing climate. Though not an exhaustive review, we provide the key research results for oil spill response from knowledge accumulated over many decades, including significant review papers that have been prepared as well as results from recent laboratory tests, field programmes and modelling work. The three main areas covered by the review are as follows: oil weathering and modelling; oil detection and monitoring; and oil spill response techniques.

19 January 2012 in AMBIO
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Peter WadhamsPeter Wadhams
Peter Wadhams

30 March 2018 in Journal of Geophysical Research: Oceans
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Peter WadhamsPeter Wadhams
Peter Wadhams
Giuseppe AulicinoGiuseppe Aulicino
Giuseppe Aulicino
FPF. Parmiggiani
F. Parmiggiani
PPP. O. G. Persson
P. O. G. Persson
Benjamin HoltBenjamin Holt
Benjamin Holt
The early autumn voyage of RV Sikuliaq to the southern Beaufort Sea in 2015 offered very favorable opportunities for observing the properties and thicknesses of frazil‐pancake ice types. The operational region was overlaid by a dense network of retrieved satellite imagery, including synthetic aperture radar (SAR) imagery from Sentinel‐1 and COSMO‐SkyMed (CSK). This enabled us to fully test and apply the SAR‐waves technique, first developed by Wadhams and Holt (1991), for deriving the thickness of frazil‐pancake icefields from changed wave dispersion. A line of subimages from a main SAR image (usually CSK) is analyzed running into the ice along the main wave direction. Each subimage is spectrally analyzed to yield a wave number spectrum, and the change in the shape of the spectrum between open water and ice, or between two thicknesses of ice, is interpreted in terms of the viscous equations governing wave propagation in frazil‐pancake ice. For each of the case studies considered here, there was good or acceptable agreement on thickness between the extensive in situ observations and the SAR‐wave calculation. In addition, the SAR‐wave analysis gave, parametrically, effective viscosities for the ice covering a consistent and narrow range of 0.03–0.05 m2 s−1.