scholarly journals Stochastically perturbed bred vectors in single‐scale systems

2020 ◽  
Vol 146 (733) ◽  
pp. 4038-4054
Author(s):  
Brent Giggins ◽  
Georg A. Gottwald
Keyword(s):  
Single Scale ◽  
Bred Vectors ◽  
Stochastically Perturbed

Fear of Being Single Scale

2013 ◽  
Author(s):  
Stephanie S. Spielmann ◽  
Geoff MacDonald ◽  
Jessica A. Maxwell ◽  
Samantha Joel ◽  
Diana Peragine ◽  
...  
Keyword(s):  
Single Scale

3D Printing of Biphasic Inks: Beyond Single-Scale Architectural Control

2021 ◽  
Author(s):  
Gianluca Cidonio ◽  
Marco Costantini ◽  
Filippo Pierini ◽  
Chiara Scognamiglio ◽  
Tarun Agarwal ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Disruptive Technology ◽  
Main Research ◽  
Single Scale

To date, Additive Manufacturing (AM) has come to the fore as a major disruptive technology embodying two main research lines - developing increasingly sophisticated printing technologies and new processable materials....

scholarly journals Fabrication of Superhydrophobic Ti–6Al–4V Surfaces with Single-Scale Micotextures by using Two-Step Laser Irradiation and Silanization

Materials ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 3816
Author(s):  
Haidong He ◽  
Risheng Hua ◽  
Xuan Li ◽  
Chunju Wang ◽  
Xuezhong Ning ◽  
...  
Keyword(s):  
Laser Irradiation ◽  
Laser Fluence ◽  
Rolling Direction ◽  
Contact Angles ◽  
Second Step ◽  
Water Contact ◽  
Single Scale ◽  
The Common ◽  
The Rich ◽  
Hierarchical Multiscale

Laser irradiation is a popular method to produce microtextures on metal surfaces. However, the common laser-produced microtextures were hierarchical (multiscale), which may limit their applicability. In this paper, a method of two-step laser irradiation, combining first-step strong ablation and sequentially second-step gentle ablation, was presented to produce micron-rough surface with single-scale microtextures. The effect of laser fluence on the Ti–6Al–4V surface morphology and wettability were investigated in detail. The morphology results revealed that the microtextures produced using this method gradually evolved from multiscale to single-scale meanwhile from microprotrusions to microholes with increasing the second-step laser fluence from 0.0 to 2.4 J/cm2. The wettability and EDS/XPS results indicated that attributing to the rich TiO2 content and micron roughness produced by laser irradiation, all the two-step laser-irradiated surfaces exhibited superhydrophilicity. In addition, after silanization, all these superhydrophilic surfaces immediately turned to be superhydrophobic with close water contact angles of 155–162°. However, due to the absence of nanotextures, the water-rolling angle on the superhydrophobic surfaces with single-scale microtextures distinctly larger than those with multiscale ones. Finally, using the two-step laser-irradiation method and assisted with silanization, multifunctional superhydrophobic Ti–6Al–4V surfaces were achieved, including self-cleaning, guiding of the water-rolling direction and anisotropic water-rolling angles (like the rice-leaf), etc.

Bred vectors of the Lorenz63 system

2015 ◽  
Vol 32 (11) ◽  
pp. 1533-1538 ◽  
Author(s):  
Ying Zhang ◽  
Kayo Ide ◽  
Eugenia Kalnay
Keyword(s):  
Bred Vectors

scholarly journals Arc erosion behavior of TiB2/Cu composites with single-scale and dual-scale TiB2 particles

2019 ◽  
Vol 8 (1) ◽  
pp. 619-627 ◽  
Author(s):  
Shaolin Li ◽  
Xiuhua Guo ◽  
Shengli Zhang ◽  
Jiang Feng ◽  
Kexing Song ◽  
...  
Keyword(s):  
Erosion Resistance ◽  
Copper Matrix ◽  
Mechanical And Thermal Properties ◽  
Structure Defects ◽  
Arc Erosion ◽  
Single Scale ◽  
The Matrix ◽  
Tib2 Particles ◽  
Thermal Stability Of ◽  
Dual Scale

AbstractArc erosion behaviors of TiB2/Cu composites with single-scale and dual-scale TiB2 particles fabricated by powder metallurgy were studied. It was revealed that the dual-scale TiB2/Cu composites had fewer structure defects compared with the single-scale TiB2/Cu composites, and TiB2 particles with different size were uniformly distributed in the copper matrix. When the ratio of 2 μm over 50 μm TiB2 particles is 1:2, the density of TiB2/Cu composite is 98.5% and shows best mechanical and thermal properties. The arc duration and energy of TiB2/Cu composites increase with the increase of electric current in contact material testing. Compared with the single-scale TiB2/Cu composites, the arc erosion of dual-scale TiB2/Cu composite with 2 μm+50 μm (1:2) TiB2 was slighter. The anode bulge area and cathode erosion pit of dual-scale TiB2/Cu composite was smaller. The dual-scale TiB2 particles optimize the microstructure and thermal stability of the composite, which is conducive to alleviating arc erosion. The synergistic effect of different sized TiB2 particles in the matrix improved the arc erosion resistance of TiB2/Cu composite during arcing.

Development of stochastically perturbed parameterization scheme for the Noah Land Surface Model with the optimized random forcing parameters using the micro-genetic algorithm

2021 ◽  
Author(s):  
Sujeong Lim ◽  
Claudio Cassardo ◽  
Seon Ki Park
Keyword(s):  
Genetic Algorithm ◽  
Land Surface ◽  
Weather Forecasting ◽  
Land Surface Model ◽  
Surface Model ◽  
Ensemble Spread ◽  
Near Surface ◽  
Random Forcing ◽  
Micro Genetic Algorithm ◽  
Stochastically Perturbed

<p>The ensemble data assimilation system is beneficial to represent the initial uncertainties and flow-dependent background error covariance (BEC). In particular, the inevitable model uncertainties can be expressed by ensemble spread, that is the standard deviation of ensemble BEC. However, the ensemble spread generally suffers from under-estimated problems. To alleviate this problem, recent studies employed stochastic perturbation schemes to increases the ensemble spreads by adding the random forcing in the model tendencies (i.e., physical or dynamical tendencies) or parameterization schemes (i.e., PBL, convective scheme, etc.). In this study, we focus on the near-surface uncertainties which are affected by the interactions between the land and atmosphere process. The land surface model (LSM) provides various fluxes as the lower boundary condition to the atmosphere, influencing the accuracy of hourly-to-seasonal scale weather forecasting, but the surface uncertainties were not much addressed yet. In this study, we developed the stochastically perturbed parameterization (SPP) scheme for the Noah LSM. The Weather Research and Forecasting (WRF) ensemble system is used for regional weather forecasting over East Asia, especially over the Korean Peninsula. As a testbed experiment with the newly-developed Noah LSM-SPP system, we first perturbed the soil temperature — a crucial variable for the near-surface forecasts by affecting sensible heat fluxes, land surface skin temperature and surface air temperature, and hence lower-tropospheric temperature. Here, the random forcing used in perturbation is made by the tuning parameters for amplitude, length scale, and time scales: they are commonly determined empirically by trial and error. In order to find optimal tuning parameter values, we applied a global optimization algorithm — the micro-genetic algorithm (micro-GA) — to achieve the smallest root-mean-squared errors. Our results indicate that optimization of the random forcing parameters contributes to an increase in the ensemble spread and a decrease in the ensemble mean errors in the near-surface and lower-troposphere uncertainties. Further experiments will be conducted by including soil moisture in the testbed.</p>

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