Results 21 to 30 of about 619,416 (280)
Determining Tropical Cyclone Center and Rainband Size in Geostationary Satellite Imagery
Remote Sensing, 2022 Brightness temperature (TB) observations at an infrared channel (10.3 μm) of the Advanced Baseline Imager (ABI) on board the U. S. 16th Geostationary Operational Environmental Satellite (GOES-16) are used for determining tropical cyclone (TC) center ...
Yanyang Hu, Xiaolei Zou
doaj +1 more source
Evaluating Data Assimilation Algorithms [PDF]
, 2012 Data assimilation leads naturally to a Bayesian formulation in which the posterior probability distribution of the system state, given the observations, plays a central conceptual role.
A. M. Stuart +68 more
core +3 more sources
Ultra Rapid Data Assimilation Based on Ensemble Filters
Frontiers in Applied Mathematics and Statistics, 2018 The goal of this work is to analyse and study an ultra-rapid data assimilation (URDA) method for adapting a given ensemble forecast for some particular variable of a dynamical system to given observation data which become available after the standard ...
Roland Potthast +2 more
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Remote Sensing, 2022 The Northeast China cold vortex (NCCV) often occurs in spring and summer, causing extreme weather such as rainstorm and hail in Northeast China. The brightness temperature (TB) observations of Microwave Temperature Sounder-2 (MWTS-2) on board Fengyun-3D (
Hui Liu, Xiaolei Zou
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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
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.
openaire +4 more sources
Sampling error of observation impact statistics [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2014 An observation impact is an estimate of the forecast error reduction by assimilating observations with numerical model forecasts. This study compares the sampling errors of the observation impact statistics (OBIS) of July 2011 and January 2012 using two ...
Sung-Min Kim, Hyun Mee Kim
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The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator [PDF]
Geoscientific Model Development, 2022 The Community Radiative Transfer Model (CRTM), a sensor-based radiative transfer model, has been used within the Gridpoint Statistical Interpolation (GSI) system for directly assimilating radiances from infrared and microwave sensors.
C.-H. Lu +13 more
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Variational Data Assimilation via Sparse Regularization [PDF]
, 2013 This paper studies the role of sparse regularization in a properly chosen basis for variational data assimilation (VDA) problems. Specifically, it focuses on data assimilation of noisy and down-sampled observations while the state variable of interest ...
Ebtehaj, A. M. +3 more
core +2 more sources
Frontiers in Climate, 2021 It is now widely recognized that in order to reach the target of limiting global warming to well below 2°C above pre-industrial levels (as the objective of the Paris agreement), cutting the carbon emissions even at an unprecedented pace will not be ...
Momme Butenschön +4 more
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