Results 51 to 60 of about 605,555 (344)
Fundamentals of Data Assimilation [PDF]
, 2016 Abstract. This article lays out the fundamentals of data assimilation as used in biogeochemistry. It demonstrates that all of the methods in widespread use within the field are special cases of the underlying Bayesian formalism. Methods differ in the assumptions they make and information they provide on the probability distributions used in Bayesian ...
Peter Rayner +2 more
openaire +3 more sources
Super-resolution data assimilation
Ocean 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
Remote Sensing, 2020 The Hyperspectral Infrared Atmospheric Sounder (HIRAS) onboard the Feng Yun-3D (FY-3D) satellite is the first Chinese hyperspectral infrared instrument.
Xinlu Xia, Xiaolei Zou
doaj +1 more source
Earth and Space Science, 2023 Microwave observations of brightness temperature (TB) from multiple polar‐orbiting operational environmental satellite imagers and infrared observations of geostationary operational environmental satellite Himawari‐8 imager are used to investigate ...
Yanyang Hu, Xiaolei Zou
doaj +1 more source
Intra-hour cloud index forecasting with data assimilation [PDF]
, 2019 We introduce a computational framework to forecast cloud index (CI)fields for up to one hour on a spatial domain that covers a city. Such intra-hour CI forecasts are important to produce solar power forecasts of utility scale solar power and distributed ...
Harty, TM +3 more
core +1 more source
Seasonal forecasting of subsurface marine heatwaves
Communications 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
A multiscale method for data assimilation [PDF]
Computational 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
Physically-based data assimilation [PDF]
Geoscientific Model Development, 2010 Abstract. Ideally, a validation and assimilation scheme should maintain the physical principles embodied in the model and be able to evaluate and assimilate lower dimensional features (e.g., discontinuities) contained within a bulk simulation, even when these features are not directly observed or represented by model variables. We present such a scheme
Deborah Sulsky +4 more
openaire +5 more sources
Continuous Data Assimilation with Stochastically Noisy Data [PDF]
, 2014 We analyze the performance of a data-assimilation algorithm based on a linear feedback control when used with observational data that contains measurement errors.
Bessaih, Hakima +2 more
core +3 more sources
Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions
Advanced Functional Materials, EarlyView.Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley +1 more source