Results 21 to 30 of about 24,876,673 (286)

On analysis error covariances in variational data assimilation [PDF]

open access: yes, 2008
The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find the initial condition function (analysis).
Shutyaev, V.   +2 more
core   +2 more sources

Differential influence of instruments in nuclear core activity evaluation by data assimilation [PDF]

open access: yes, 2011
The global activity fields of a nuclear core can be reconstructed using data assimilation. Data assimilation allows to combine measurements from instruments, and information from a model, to evaluate the best possible activity within the core. We present
Bouriquet, Bertrand   +13 more
core   +1 more source

Ultra Rapid Data Assimilation Based on Ensemble Filters

open access: yesFrontiers 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
doaj   +1 more source

Mitigation of Significant Data Noise in F17 SSMIS Observations since October 2017

open access: yesRemote Sensing, 2022
Special Sensor Microwave Imager Sounder (SSMIS) temperature sounding observations have been made available since the launch of the Defense Meteorological Satellite Program (DMSP), F16, on 18 October 2003. These conical-scanning observations of brightness
Huijie Dong, Xiaolei Zou
doaj   +1 more source

Determining Tropical Cyclone Center and Rainband Size in Geostationary Satellite Imagery

open access: yesRemote 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

Sampling error of observation impact statistics [PDF]

open access: yesTellus: 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
doaj   +1 more source

Tracking the Early Movements of Northeast China Cold Vortices Using FY-3D MWTS-2 Observations of Brightness Temperature

open access: yesRemote 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
doaj   +1 more source

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]

open access: yesGeoscientific 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
doaj   +1 more source

Drivers and impact of the seasonal variability of the organic carbon offshore transport in the Canary upwelling system [PDF]

open access: yesBiogeosciences, 2021
The Canary upwelling system (CanUS) is a productive coastal region characterized by strong seasonality and an intense offshore transport of organic carbon (Corg) to the adjacent oligotrophic offshore waters.
G. Bonino   +5 more
doaj   +1 more source

The Analog Data Assimilation

open access: yesMonthly Weather Review, 2017
In light of growing interest in data-driven methods for oceanic, atmospheric, and climate sciences, this work focuses on the field of data assimilation and presents the analog data assimilation (AnDA). The proposed framework produces a reconstruction of the system dynamics in a fully data-driven manner where no explicit knowledge of the dynamical model
Lguensat, Redouane   +4 more
openaire   +4 more sources

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