Results 61 to 70 of about 605,555 (344)
Development and Evaluation of a New Method for AMSU-A Cloud Detection over Land
Remote 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
Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model: Conventional Observation [PDF]
, 2014 This paper presents an approach for employing artificial neural networks (NN) to emulate an ensemble Kalman filter (EnKF) as a method of data assimilation.
Cintra, Rosangela S. +1 more
core
Prediction of Sunspot Cycles by Data Assimilation Method [PDF]
, 2008 Despite the known general properties of the solar cycles, a reliable forecast of the 11-year sunspot number variations is still a problem. The difficulties are caused by the apparent chaotic behavior of the sunspot numbers from cycle to cycle and by the ...
Kitiashvili, I. N., Kosovichev, A. G.
core +2 more sources
Advanced Healthcare Materials, EarlyView.A 3D‐printed PCL scaffold coated with Arginine was laminated with electrospun polyvinyl alcohol (PVA) nanofibers containing cationic cellulose nanocrystals (PVA@cCNC). This created nanoisland‐like regions of aligned and random cCNC‐rich fibers. The composite scaffold, under fluid shear stimulation, modulated macrophage polarization from M1 to M2 ...
Keya Ganguly +8 more
wiley +1 more source
Data assimilation: The Schrödinger perspective [PDF]
Acta Numerica, 2019 Data assimilation addresses the general problem of how to combine model-based predictions with partial and noisy observations of the process in an optimal manner. This survey focuses on sequential data assimilation techniques using probabilistic particle-based algorithms.
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Data assimilation for plume models [PDF]
Nonlinear Processes in Geophysics, 2005 Abstract. We use a four-dimensional variational data assimilation (4D-VAR) algorithm to observe the growth of 2-D plumes from a point heat source. In order to test the predictability of the 4D-VAR technique for 2-D plumes, we perturb the initial conditions and compare the resulting predictions to the predictions given by a direct numerical simulation ...
Alain Vincent +6 more
openaire +4 more sources
Advanced Healthcare Materials, EarlyView.A synthetic 4‐arm maleimide‐terminated poly(ethylene glycol) (PEG‐4MAL) hydrogel system that combines hydrolytic ester‐linked macromer (PEG‐4eMAL) with nondegradable amide‐linked macromer (PEG‐4aMAL) in various stoichiometric ratios to tune the degradability rate. The macromers are crosslinked with dithiothreitol via thiol‐maleimide click reaction. The
Michael D. Hunckler +7 more
wiley +1 more source
Remote Sensing, 2022 Soil moisture is a key variable of the climate system. Microwave remote sensing has become an essential means of obtaining soil moisture because of the unique advantages of its all-day and all-weather observation capability.
Xuesong Bai +3 more
doaj +1 more source
Content in the Context of 4D-Var Data Assimilation. II: Application to Global Ozone Assimilation [PDF]
, 2011 Data assimilation obtains improved estimates of the state of a physical system by combining imperfect model results with sparse and noisy observations of reality. Not all observations used in data assimilation are equally valuable.
Bowman, Kevin +4 more
core +1 more source
Particle Filters and Data Assimilation [PDF]
Annual Review of Statistics and Its Application, 2018 State-space models can be used to incorporate subject knowledge on the underlying dynamics of a time series by the introduction of a latent Markov state process. A user can specify the dynamics of this process together with how the state relates to partial and noisy observations that have been made.
Fearnhead, Paul, Künsch, Hans
openaire +3 more sources