scholarly journals The ‘Two oceans and one sea’ extended range numerical prediction system with an ultra-high resolution atmosphere-ocean-land regional coupled model

2018 ◽  
Vol 11 (4) ◽  
pp. 364-371 ◽  
Author(s):  
Shao-Qing Zhang ◽  
LIU Yang ◽  
Xiao-Hui Ma ◽  
Hong-Na Wang ◽  
Xue-Feng Zhang ◽  
...  
Keyword(s):  
High Resolution ◽  
Coupled Model ◽  
Numerical Prediction ◽  
Prediction System ◽  
Extended Range ◽  
Regional Coupled Model

A High-Resolution Low-Power Incremental $\Sigma\Delta$ ADC With Extended Range for Biosensor Arrays

2010 ◽  
Vol 45 (6) ◽  
pp. 1099-1110 ◽  
Author(s):  
Ali Agah ◽  
Katelijn Vleugels ◽  
Peter B. Griffin ◽  
Mostafa Ronaghi ◽  
James D. Plummer ◽  
...  
Keyword(s):  
High Resolution ◽  
Low Power ◽  
Sigma Delta ◽  
Biosensor Arrays ◽  
Extended Range ◽  
Sigma Delta Adc

scholarly journals Assessment of Doppler Radar Radial Wind Observation Quality from Different Echo Sources for Assimilation during the Sydney 2014 Forecast Demonstration Project

2018 ◽  
Vol 35 (8) ◽  
pp. 1605-1620 ◽  
Author(s):  
Susan Rennie ◽  
Peter Steinle ◽  
Alan Seed ◽  
Mark Curtis ◽  
Yi Xiao
Keyword(s):  
Quality Control ◽  
Control System ◽  
Statistical Analysis ◽  
High Resolution ◽  
Radial Velocity ◽  
Numerical Weather Prediction ◽  
Doppler Radar ◽  
Weather Prediction ◽  
Demonstration Project ◽  
Prediction System

AbstractA new quality control system, primarily using a naïve Bayesian classifier, has been developed to enable the assimilation of radial velocity observations from Doppler radar. The ultimate assessment of this system is the assimilation of observations in a pseudo-operational numerical weather prediction system during the Sydney 2014 Forecast Demonstration Project. A statistical analysis of the observations assimilated during this period provides an assessment of the data quality. This will influence how observations will be assimilated in the future, and what quality control and errors are applicable. This study compares observation-minus-background statistics for radial velocities from precipitation and insect echoes. The results show that with the applied level of quality control, these echo types have comparable biases. With the latest quality control, the clear air observations of wind are apparently of similar quality to those from precipitation and are therefore suitable for use in high-resolution NWP assimilation systems.

Regional oceanic and biogeochemical modeling strategy :forced or coupled model ?

2021 ◽  
Author(s):  
Véra Oerder ◽  
Pierre-Amaël Auger ◽  
Joaquim Bento ◽  
Samuel Hormazabal
Keyword(s):  
High Resolution ◽  
Wind Stress ◽  
Coupled Model ◽  
Heat Fluxes ◽  
Atmospheric Conditions ◽  
Coupled Simulation ◽  
Biogeochemical Modeling ◽  
Ocean Atmosphere ◽  
The Impact ◽  
Oceanic Model

<p><span> Regional high resolution biogeochemical modeling studies generaly use an oceanic model forced by prescribed atmospheric conditions. The computational cost of such approach is far lower than using an high resolution ocean-atmosphere coupled model. However, forced oceanic models cannot represent adequately the atmospheric reponse to the oceanic mesoscale (~10-100km) structures and the impact on the oceanic dynamics.</span></p><p><span>To assess the bias introduce by the use of a forced model, we compare here a regional high resolution (1/12º) ocean-atmosphere coupled model with oceanic simulations forced by the outputs of the coupled simulation. Several classical forcing strategies are compared : bulk formulae, prescribed stress, prescribed heat fluxes with or without Sea Surface Temperature (SST) restoring term, .... We study the Chile Eastern Boundary Upwelling System, and the oceanic model includes a biogeochemical component,</span></p><p><span>The coupled model oceanic mesoscale impacts the atmosphere through surface current and SST anomalies. Surface currents mainly affect the wind stress while SST impacts both the wind stress and the heat fluxes. In the forced simulations, mesoscale structures generated by the model internal variability does not correspond to those of the coupled simulation. According to the forcing strategy, the atmospheric conditions are not modified by the forced model mesoscale, or the modifications are not realistic. The regional dynamics (coastal upwelling, mesoscale activity, …) is affected, with impact on the biogeochemical activity.</span></p><p> </p><p> </p><p><em>This work was supported by the FONDECYT project 3180472 (Chile), with computational support of the NLHPC from the Universidad de Chile, the HPC from the Pontificia Universidad Catolica de Valparaiso and the Irene HPC from the GENCI at the CEA (France).</em></p>

MJO Prediction Skill Using IITM Extended Range Prediction System and Comparison with ECMWF S2S

2020 ◽  
Vol 177 (10) ◽  
pp. 5067-5079
Author(s):  
Avijit Dey ◽  
R. Chattopadhyay ◽  
A. K. Sahai ◽  
R. Mandal ◽  
S. Joseph ◽  
...  
Keyword(s):  
Prediction Skill ◽  
Prediction System ◽  
Extended Range

scholarly journals Peculiar J-type Carbon Stars and Li

2000 ◽  
Vol 198 ◽  
pp. 506-507
Author(s):  
S. Lorenz-Martins ◽  
N. A. Drake
Keyword(s):  
High Resolution ◽  
Spectral Region ◽  
Resonance Line ◽  
Spectral Synthesis ◽  
Synthesis Method ◽  
Isotopic Ratios ◽  
Carbon Stars ◽  
Carbon Isotopic ◽  
Carbon Abundance ◽  
Extended Range

We determined the carbon and lithium abundances and carbon isotopic ratios for 4 peculiar carbon stars by means of spectral synthesis method. Li abundances were derived using Li resonance line at λ6707.8 Â. For carbon abundance determinations we used the lines of the red system of CN molecule. Spectral region of λλ7994 — 8030 Â containing the lines of molecules 12CN and 13CN was used also for 12C/13C ratio measuring. The high-resolution spectra were obtained on the 1.52m telescope of ESO with the Fiber-fed Extended Range Optical Spectrograph (FEROS). These observations were obtained under the agreement between the CNPq-Observatório Nacional, Brazil, and ESO.

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