scholarly journals A high-resolution simulation of the ocean during the POMME experiment: Simulation results and comparison with observations

2005 ◽  
Vol 110 (C7) ◽  
Author(s):  
A. Paci
Keyword(s):  
High Resolution ◽  
Simulation Results ◽  
Resolution Simulation

A Planar Capacitive Sensor for Large Scale Measurement

2008 ◽  
Vol 381-382 ◽  
pp. 509-512 ◽  
Author(s):  
Wen Wang ◽  
X.X. Li ◽  
Zi Chen Chen
Keyword(s):  
High Resolution ◽  
Large Scale ◽  
Capacitive Sensor ◽  
Axial Displacement ◽  
Axial Movement ◽  
Direction Detection ◽  
Simulation Results ◽  
Resolution Simulation ◽  
Planar Measurement

A planar capacitive sensor (PCS) is proposed for X and Y directions measurement. One axial displacement can be measured without the coupling of another axial movement. Two groups electrodes with 90 degree out-of-phase, forming triangle sine and triangle cosine wave, can be applied for direction detection and interpolation, aiming at high resolution. Simulation results show that proposed PCS is available for planar measurement.

scholarly journals The Impact of Forcing Datasets on the High-Resolution Simulation of Tropical Storm Ivan (2004) in the Southern Appalachians

2012 ◽  
Vol 140 (10) ◽  
pp. 3300-3326 ◽  
Author(s):  
Xiaoming Sun ◽  
Ana P. Barros
Keyword(s):  
High Resolution ◽  
Global Analysis ◽  
Surface Wind ◽  
Tropical Storm ◽  
Southern Appalachians ◽  
Low Level ◽  
Simulated Precipitation ◽  
Forced Simulation ◽  
The Impact ◽  
Resolution Simulation

Abstract The influence of large-scale forcing on the high-resolution simulation of Tropical Storm Ivan (2004) in the southern Appalachians was investigated using the Weather Research and Forecasting model (WRF). Two forcing datasets were employed: the North American Regional Reanalysis (NARR; 32 km × 32 km) and the NCEP Final Operational Global Analysis (NCEP FNL; 1° × 1°). Simulated fields were evaluated against rain gauge, radar, and satellite data; sounding observations; and the best track from the National Hurricane Center (NHC). Overall, the NCEP FNL forced simulation (WRF_FNL) captures storm structure and evolution more accurately than the NARR forced simulation (WRF_NARR), benefiting from the hurricane initialization scheme in the NCEP FNL. Further, the performance of WRF_NARR is also negatively affected by a previously documented low-level warm bias in NARR. These factors lead to excessive precipitation in the Piedmont region, delayed rainfall in Alabama, as well as spatially displaced and unrealistically extreme rainbands during its passage over the southern Appalachians. Spatial filtering of the simulated precipitation fields confirms that the storm characteristics inherited from the forcing are critical to capture the storm’s impact at local places. Compared with the NHC observations, the storm is weaker in both NARR and NCEP FNL (up to Δp ~ 5 hPa), yet it is persistently deeper in all WRF simulations forced by either dataset. The surface wind fields are largely overestimated. This is attributed to the underestimation of surface roughness length over land, leading to underestimation of surface drag, reducing low-level convergence, and weakening the dissipation of the simulated cyclone.

Finescale spiral rainbands modeled in a high-resolution simulation of Typhoon Rananim (2004)

2010 ◽  
Vol 27 (3) ◽  
pp. 685-704 ◽  
Author(s):  
Qingqing Li ◽  
Yihong Duan ◽  
Hui Yu ◽  
Gang Fu
Keyword(s):  
High Resolution ◽  
Spiral Rainbands ◽  
Resolution Simulation
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