Showing 401 - 420 results of 1,402 for search 'center fielder~', query time: 6.68s Refine Results
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    Influence of the Main Border Faults on the 3D Hydraulic Field of the Central Upper Rhine Graben by Jessica Freymark, Judith Bott, Mauro Cacace, Moritz Ziegler, Magdalena Scheck-Wenderoth

    Published 2019-01-01
    “…To assess the influence of the main faults bordering the graben on the hydraulic and the deep thermal field, we carried out a sensitivity analysis on fault width and permeability. …”
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    Design of a flattening filter using Fiber Bragg Gratings for EDFA gain equalization: an artificial neural network application by David Esteban Montoya Alba, Jhonatan Mcniven Cagua Herrera, Gustavo Adolfo Puerto Leguizam´ón

    Published 2019-06-01
    “…The proposal optimizes FBG parameters such as center frequency, rejection level and length in order to determine a filtering response based on a reduced number of FBGS that will be used to flatten the non-linear response of the amplifier gain and avoid the per-carrier treatment of a standard flattening filter. …”
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    Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin by LIN Sinuo, ZHANG Yinchi, SUN Shao, GUAN Xiaojun, JIANG Caiying, GAO Lu

    Published 2023-01-01
    “…,weather research and forecasting (WRF) model,16 sets of microphysical processes and cumulus convection parameterization schemes are cross-combined to simulate the sensitivity of a continuous rainstorm process in the Minjiang River Basin from May 17 to 24,2021.The results show that the WRF model can reproduce the spatio-temporal distribution characteristics of this rainfall process,but it significantly overestimates the intensity and extent of the storm center,with the overall better performance of EXP9 (Lin-NT combination).For the mass sensitivity test of initial fields,the simulation results based on the optimal combination of parameterization schemes reveal that the fifth-generation atmospheric reanalysis of the European Center for Medium-Range Weather Forecasts (ERA5) has a sound effect for all magnitudes of rainfalls.Meanwhile,it best matches the spatio-temporal characteristics of the observed data,followed by global data assimilation system/final operational global analysis (GDAS/FNL),while climate forecast system operational analysis (CFS) is the worst.This study can provide methodological references for improving the accuracy of extreme rainfall simulation and forecasting.…”
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