Results 21 to 30 of about 1,061,321 (345)
Atmospheric Science Letters, 2023 The Korean Integrated Model (KIM) forecast system, based on a hybrid four‐dimensional ensemble‐variational method, was extended to assimilate Horizontal Line‐Of‐Sight (HLOS) wind observations from the Atmospheric Laser Doppler Instrument (ALADIN) on ...
Sihye Lee +3 more
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Assimilating monthly precipitation data in a paleoclimate data assimilation framework [PDF]
Climate of the Past, 2019 Abstract. Data assimilation approaches such as the ensemble Kalman filter method have become an important technique for paleoclimatological reconstructions and reanalysis. Different sources of information from proxy records and documentary data to instrumental measurements were assimilated in previous studies to reconstruct past climate fields. However,
Yuri Brugnara +7 more
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On Two Localized Particle Filter Methods for Lorenz 1963 and 1996 Models
Frontiers in Applied Mathematics and Statistics, 2022 Nonlinear data assimilation methods like particle filters aim to improve the numerical weather prediction (NWP) in non-Gaussian setting. In this manuscript, two recent versions of particle filters, namely the Localized Adaptive Particle Filter (LAPF) and
Nora Schenk +5 more
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The Efficiency of Data Assimilation [PDF]
Water Resources Research, 2018 AbstractData assimilation is the application of Bayes' theorem to condition the states of a dynamical systems model on observations. Any real‐world application of Bayes' theorem is approximate, and therefore, we cannot expect that data assimilation will preserve all of the information available from models and observations.
Jicheng Liu +7 more
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Scale-dependent background-error covariance localisation [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2015 A new approach is presented and evaluated for efficiently applying scale-dependent spatial localisation to ensemble background-error covariances within an ensemble-variational data assimilation system.
Mark Buehner, Anna Shlyaeva
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Remote Sensing, 2021 Microwave temperature sounding observations from polar-orbiting meteorological satellites have been widely used for research on climate trends of atmospheric temperature at different heights around the world.
Xinlu Xia, Xiaolei Zou
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An Efficient Continuous Data Assimilation Algorithm for the Sabra Shell Model of Turbulence [PDF]
, 2021 Complex nonlinear turbulent dynamical systems are ubiquitous in many areas. Recovering unobserved state variables is an important topic for the data assimilation of turbulent systems. In this article, an efficient continuous in time data assimilation scheme is developed, which exploits closed analytic formulae for updating the unobserved state ...
arxiv +1 more source
Journal of Advances in Modeling Earth Systems, 2022 AbstractData Assimilation aims at estimating the posterior conditional probability density functions based on error statistics of the noisy observations and the dynamical system. State of the art methods are sub‐optimal due to the common use of Gaussian error statistics and the linearization of the non‐linear dynamics.
Boudier, Pierre +4 more
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A High Resolution Reanalysis for the Mediterranean Sea
Frontiers in Earth Science, 2021 In order to be able to forecast the weather and estimate future climate changes in the ocean, it is crucial to understand the past and the mechanisms responsible for the ocean variability.
Romain Escudier +13 more
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Data assimilation in glaciology [PDF]
, 2014 Abstract This chapter addresses an inverse problem in glaciology, namely how to infer a climatic scenario (i.e. how to reconstruct past polar temperature) from ice volume records. Ice volume observations are available from oceanic records, giving information about sea level, and therefore about the amount of water stored in ice sheets ...
Bonan, Bertrand +3 more
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