Results 51 to 60 of about 626,301 (333)
Stabilized nonconforming finite element methods for data assimilation in incompressible flows [PDF]
We consider a stabilized nonconforming finite element method for data assimilation in incompressible flow subject to the Stokes' equations. The method uses a primal dual structure that allows for the inclusion of nonstandard data.
Burman, Erik, Hansbo, Peter
core +2 more sources
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
Prediction of Sunspot Cycles by Data Assimilation Method [PDF]
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
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
Bias Characteristics of COSMIC RO Data within Clouds Based on Different Background Fields
The Global Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) radio occultation (RO) from 2007 to 2009 were collocated with the CloudSat nadir-pointing cloud profiling radar (CPR) in time and space in this study.We ...
Yan’an YIN, Shengpeng YANG
doaj +1 more source
Assimilating SAR-derived water level data into a hydraulic model: a case study [PDF]
Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially distributed river water levels.
De Keyser, Robain +10 more
core +2 more sources
Intra-hour cloud index forecasting with data assimilation [PDF]
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
This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of algorithms;
Zhihua Zhang, John C. Moore
openaire +3 more sources
Seasonal forecasting of subsurface marine heatwaves
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
Continuous Data Assimilation with Stochastically Noisy Data [PDF]
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

