Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation [PDF]
On 24 September 2021, JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the Model Prediction Across Scales – Atmosphere (MPAS-A) built on the software framework of the Joint Effort for Data assimilation Integration (JEDI) was publicly released for
Z. Liu+18 more
doaj +1 more source
Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic. [PDF]
Although clouds are a major factor influencing atmospheric environments in the Arctic, numerical simulations of Arctic clouds are uncertain. In this study, the effects of microphysics scheme and data assimilation (DA) on the simulation of clouds ...
Kim DH, Kim HM.
europepmc +2 more sources
Bivariate sea-ice assimilation for global-ocean analysis–reanalysis [PDF]
In the last decade, various satellite missions have been monitoring the status of the cryosphere and its evolution. Besides sea-ice concentration data, available since the 1980s, sea-ice thickness retrievals are now ready to be used in global operational
A. Cipollone+6 more
doaj +1 more source
The bulk parameterizations of turbulent air–sea fluxes in NEMO4: the origin of sea surface temperature differences in a global model study [PDF]
Wind stress and turbulent heat fluxes are the major driving forces that modify the ocean dynamics and thermodynamics. In the Nucleus for European Modelling of the Ocean (NEMO) ocean general circulation model, these turbulent air–sea fluxes (TASFs) can ...
G. Bonino+3 more
doaj +1 more source
Deep Data Assimilation: Integrating Deep Learning with Data Assimilation [PDF]
In this paper, we propose Deep Data Assimilation (DDA), an integration of Data Assimilation (DA) with Machine Learning (ML). DA is the Bayesian approximation of the true state of some physical system at a given time by combining time-distributed observations with a dynamic model in an optimal way.
Rossella Arcucci+3 more
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
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
doaj +1 more source