Results 71 to 80 of about 1,061,321 (345)

Seasonal forecasting of subsurface marine heatwaves

open access: yesCommunications Earth & Environment, 2023
Marine heatwaves damage marine ecosystems and services, with effects identified mostly below the ocean surface. To create a truly user-relevant detection system, it is necessary to provide subsurface forecasts.
Ronan McAdam   +2 more
doaj   +1 more source

Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators [PDF]

open access: yesPLoS ONE 14(7): e0219247, 2019, 2019
Simulator imperfection, often known as model error, is ubiquitous in practical data assimilation problems. Despite the enormous efforts dedicated to addressing this problem, properly handling simulator imperfection in data assimilation remains to be a challenging task.
arxiv   +1 more source

Data assimilation in a multi-scale model [PDF]

open access: yes, 2017
Data assimilation for multi-scale models is an important contemporary research topic. Especially the role of unresolved scales and model error in data assimilation needs to be systematically addressed.
Anderson   +50 more
core   +1 more source

The Onsager--Machlup functional for data assimilation [PDF]

open access: yes, 2017
When taking the model error into account in data assimilation, one needs to evaluate the prior distribution represented by the Onsager--Machlup functional.
Sugiura, Nozomi
core   +3 more sources

A multiscale method for data assimilation [PDF]

open access: yesComputational Geosciences, 2018
In data assimilation problems, various types of data are naturally linked to different spatial resolutions (e.g., seismic and electromagnetic data), and these scales are usually not coincident to the subsurface simulation model scale. Alternatives like upscaling/downscaling of the data and/or the simulation model can be used, but with potential loss of
Hadi Hajibeygi   +3 more
openaire   +6 more sources

Super-resolution data assimilation

open access: yesOcean Dynamics, 2022
AbstractIncreasing model resolution can improve the performance of a data assimilation system because it reduces model error, the system can more optimally use high-resolution observations, and with an ensemble data assimilation method the forecast error covariances are improved.
Sébastien Barthélémy   +3 more
openaire   +4 more sources

Spot‐14 and its paralog Spot‐14R regulate expression of metabolic and thermogenic pathway genes in murine brown and beige adipocytes

open access: yesFEBS Letters, EarlyView.
Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez   +3 more
wiley   +1 more source

How Asian slum emissions impact local microclimates in polluted air masses

open access: yesAtmospheric Science Letters, Volume 23, Issue 12, December 2022., 2022
Cook stove emissions over urban sprawl in South India and expected microphysical implications. Combustion‐mediated soot and black carbon from biomass burning in shantytowns modulate the local cloud cover. Abstract Urban sprawl comprising densely populated slums over South Asian cities yields copious amounts of soot and black carbon from archaic cooking
Satyajit Ghosh   +4 more
wiley   +1 more source

Consistent assimilation of multiple data streams in a carbon cycle data assimilation system [PDF]

open access: yesGeoscientific Model Development, 2016
Abstract. Data assimilation methods provide a rigorous statistical framework for constraining parametric uncertainty in land surface models (LSMs), which in turn helps to improve their predictive capability and to identify areas in which the representation of physical processes is inadequate.
Macbean, Natasha   +4 more
openaire   +7 more sources

Development and Evaluation of a New Method for AMSU-A Cloud Detection over Land

open access: yesRemote Sensing, 2021
Satellite data are the main source of information for operational data assimilation systems, and Advanced Microwave Sounding Unit-A (AMSU-A) data are one of the types of satellite data that contribute most to the reduction of numerical forecast errors ...
Zhiwen Wu, Juan Li, Zhengkun Qin
doaj   +1 more source

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