Results 11 to 20 of about 1,031,036 (328)
The Antarctic Marginal Ice Zone and Pack Ice Area in CMEMS GREP Ensemble Reanalysis Product
Global ocean reanalyses provide consistent and comprehensive records of ocean and sea ice variables and are therefore of pivotal significance for climate studies, particularly in data-sparse regions such as Antarctica.
Doroteaciro Iovino+4 more
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Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization
Skillful sea-ice prediction in the Antarctic Ocean remains a big challenge due to paucity of sea-ice observations and insufficient representation of sea-ice processes in climate models.
Yushi Morioka+4 more
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Decadal Sea Ice Prediction in the West Antarctic Seas with Ocean and Sea Ice Initializations
Decadal sea ice variability in the west Antarctic seas can be skillfully predicted, with highest skill in a decadal reforecast experiment where sea surface temperature, sea ice concentration and subsurface ocean temperature and salinity are initialized ...
Yushi Morioka+4 more
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Southern Europe and western Asian marine heatwaves (SEWA-MHWs): a dataset based on macroevents [PDF]
Marine heatwaves (MHWs) induce significant impacts on marine ecosystems. There is a growing need for knowledge about extreme climate events to better inform decision-makers on future climate-related risks.
G. Bonino+4 more
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Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann+2 more
wiley +1 more source
The Korean Integrated Model (KIM) forecast system, based on a hybrid four‐dimensional ensemble‐variational method, was extended to assimilate Horizontal Line‐Of‐Sight (HLOS) wind observations from the Atmospheric Laser Doppler Instrument (ALADIN) on ...
Sihye Lee+3 more
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Assimilating monthly precipitation data in a paleoclimate data assimilation framework [PDF]
Abstract. Data assimilation approaches such as the ensemble Kalman filter method have become an important technique for paleoclimatological reconstructions and reanalysis. Different sources of information from proxy records and documentary data to instrumental measurements were assimilated in previous studies to reconstruct past climate fields. However,
Yuri Brugnara+7 more
openaire +4 more sources
The Efficiency of Data Assimilation [PDF]
AbstractData assimilation is the application of Bayes' theorem to condition the states of a dynamical systems model on observations. Any real‐world application of Bayes' theorem is approximate, and therefore, we cannot expect that data assimilation will preserve all of the information available from models and observations.
Jicheng Liu+7 more
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On Two Localized Particle Filter Methods for Lorenz 1963 and 1996 Models
Nonlinear data assimilation methods like particle filters aim to improve the numerical weather prediction (NWP) in non-Gaussian setting. In this manuscript, two recent versions of particle filters, namely the Localized Adaptive Particle Filter (LAPF) and
Nora Schenk+5 more
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Scale-dependent background-error covariance localisation [PDF]
A new approach is presented and evaluated for efficiently applying scale-dependent spatial localisation to ensemble background-error covariances within an ensemble-variational data assimilation system.
Mark Buehner, Anna Shlyaeva
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