G
Gilbert P. Compo
Researcher at National Oceanic and Atmospheric Administration
Publications - 90
Citations - 20949
Gilbert P. Compo is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Data assimilation & Climate change. The author has an hindex of 33, co-authored 79 publications receiving 18347 citations. Previous affiliations of Gilbert P. Compo include Cooperative Institute for Research in Environmental Sciences & University of Colorado Boulder.
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Journal ArticleDOI
Continental heat anomalies and the extreme melting of the Greenland ice surface in 2012 and 1889
William Neff,William Neff,Gilbert P. Compo,Gilbert P. Compo,F. Martin Ralph,Matthew D. Shupe,Matthew D. Shupe +6 more
TL;DR: In this paper, the authors explore other potential factors in July 2012 associated with Greenland's unusual melting, such as warm air originating from a record North American heat wave, transitions in the Arctic Oscillation, transport of water vapor via an Atmospheric River over the Atlantic to Greenland, and the presence of warm ocean waters south of Greenland.
Oceanic Influences on Recent Continental Warming
TL;DR: This paper showed that the recent worldwide land warming has occurred largely in response to a worldwide warming of the oceans rather than as a direct response to increasing greenhouse gases (GHGs) over land.
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An ensemble of ocean reanalyses for 1815–2013 with sparse observational input
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Pacific Walker Circulation variability in coupled and uncoupled climate models
S. Sandeep,S. Sandeep,Frode Stordal,Prashant D. Sardeshmukh,Prashant D. Sardeshmukh,Gilbert P. Compo,Gilbert P. Compo +6 more
TL;DR: In this article, the Pacific Walker Circulation (PWC) was analyzed to investigate twentieth century changes in the PWC and their physical mechanisms, and it was shown that PWC strengthened during twentieth century global warming, but also that this strengthening was partly masked by a weakening trend associated with ENSO-related PWC variability.
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A Comparison of Variational and Ensemble-Based Data Assimilation Systems for Reanalysis of Sparse Observations
TL;DR: In this paper, an observing system experiment, simulating a surface-only observing network representative of the 1930s, is carried out with three and four-dimensional variational data assimilation systems (3D-VAR and 4D-VMAR) and an ensemble-based Data Assimilation System (EnsDA).