Examination of Convection-Allowing Configurations of the WRF Model for the Prediction of Severe Convective Weather: The SPC/NSSL Spring Program 2004

2006 ◽  
Vol 21 (2) ◽  
pp. 167-181 ◽  
Author(s):  
John S. Kain ◽  
S. J. Weiss ◽  
J. J. Levit ◽  
M. E. Baldwin ◽  
D. R. Bright

Abstract Convection-allowing configurations of the Weather Research and Forecast (WRF) model were evaluated during the 2004 Storm Prediction Center–National Severe Storms Laboratory Spring Program in a simulated severe weather forecasting environment. The utility of the WRF forecasts was assessed in two different ways. First, WRF output was used in the preparation of daily experimental human forecasts for severe weather. These forecasts were compared with corresponding predictions made without access to WRF data to provide a measure of the impact of the experimental data on the human decision-making process. Second, WRF output was compared directly with output from current operational forecast models. Results indicate that human forecasts showed a small, but measurable, improvement when forecasters had access to the high-resolution WRF output and, in the mean, the WRF output received higher ratings than the operational Eta Model on subjective performance measures related to convective initiation, evolution, and mode. The results suggest that convection-allowing models have the potential to provide a value-added benefit to the traditional guidance package used by severe weather forecasters.

Author(s):  
Jose Maria Da Rocha ◽  
Javier García-Cutrín ◽  
Maria-Jose Gutiérrez ◽  
Raul Prellezo ◽  
Eduardo Sanchez

AbstractIntegrated economic models have become popular for assessing climate change. In this paper we show how these methods can be used to assess the impact of a discard ban in a fishery. We state that a discard ban can be understood as a confiscatory tax equivalent to a value-added tax. Under this framework, we show that a discard ban improves the sustainability of the fishery in the short run and increases economic welfare in the long run. In particular, we show that consumption, capital and wages show an initial decrease just after the implementation of the discard ban then recover after some periods to reach their steady-sate values, which are 16–20% higher than the initial values, depending on the valuation of the landed discards. The discard ban also improves biological variables, increasing landings by 14% and reducing discards by 29% on the initial figures. These patterns highlight the two channels through which discard bans affect a fishery: the tax channel, which shows that the confiscation of landed discards reduces the incentive to invest in the fishery; and the productivity channel, which increases the abundance of the stock. Thus, during the first few years after the implementation of a discard ban, the negative effect from the tax channel dominates the positive effect from the productivity channel, because the stock needs time to recover. Once stock abundance improves, the productivity channel dominates the tax channel and the economic variables rise above their initial levels. Our results also show that a landed discards valorisation policy is optimal from the social welfare point of view provided that incentives to increase discards are not created.


Author(s):  
Luke J. LeBel ◽  
Brian H. Tang ◽  
Ross A. Lazear

AbstractThe complex terrain at the intersection of the Mohawk and Hudson valleys of New York has an impact on the development and evolution of severe convection in the region. Specifically, previous research has concluded that terrain-channeled flow in the Mohawk and Hudson valleys likely contributes to increased low-level wind shear and instability in the valleys during severe weather events such as the historic 31 May 1998 event that produced a strong (F3) tornado in Mechanicville, New York.The goal of this study is to further examine the impact of terrain channeling on severe convection by analyzing a high-resolution WRF model simulation of the 31 May 1998 event. Results from the simulation suggest that terrain-channeled flow resulted in the localized formation of an enhanced low-level moisture gradient, resembling a dryline, at the intersection of the Mohawk and Hudson valleys. East of this boundary, the environment was characterized by stronger low-level wind shear and greater low-level moisture and instability, increasing tornadogenesis potential. A simulated supercell intensified after crossing the boundary, as the larger instability and streamwise vorticity of the low-level inflow was ingested into the supercell updraft. These results suggest that terrain can have a key role in producing mesoscale inhomogeneities that impact the evolution of severe convection. Recognition of these terrain-induced boundaries may help in anticipating where the risk of severe weather may be locally enhanced.


2021 ◽  
Author(s):  
Desislava Borislavova Vlahova-Vangelova ◽  
Desislav Balev ◽  
Nikolay Delchev Kolev ◽  
Dilyana Gradinarska ◽  
Stefan Dragoev

In the recent years crickets, as well as cricket powder (CP) are interesting food ingredients in the European market. Some benefits of CP are high content of quality proteins, fats, vitamins and minerals and little environmental footprint. The aim of this work is to explore the impact of CP additive (2% and 4%) on the color characteristics, technological and sensory properties of dry-fermented poultry bars. The use of CP as meat additive significantly decrease L* and a* value of the product. Structural strength, plastic strength and pH were significantly increased (p˂0.05) in CP enriched raw and dry-fermented poultry bars. aW and moisture content in the final CP supplemented poultry products increased (p˂0.05). The incorporation of 2% CP had slight impact on sensory properties of final product and can be successfully used for processing of value added meat products. CP addition up to 4% had negative effect on the color, sensory properties, structural and plastic strength on the filling mass and dry-fermented meat bars.


2019 ◽  
Vol 10 (3) ◽  
pp. 383-400 ◽  
Author(s):  
Jiyeon Jeon ◽  
Myongjee Yoo ◽  
Natasa Christodoulidou

Purpose The purpose of this study is to explore the impact of Wi-Fi service on the millennial generation’s loyalty to restaurants. Additionally, this study examines the impact of Wi-Fi service on three different types of restaurants (coffee shops, fast-food restaurants and casual dining restaurants). Furthermore, this study examines the similarities and differences that exist cross-culturally between Americans and Koreans. Design/methodology/approach A total number of 480 questionnaires were collected to empirically test the study model. A factor analysis that used a principal components analysis with varimax rotation was performed to condense the loyalty items into a few underlying constructs, and the Cronbach’s alpha was checked to test for reliability. A multiple regression analysis and t-test were performed to test the study hypotheses. Findings The results show that Wi-Fi service has a significant impact on millennials’ loyalty behavior on all three types of restaurants in this study. However, the differences between Americans and Koreans on how they perceive the Wi-Fi services turned out to be significant only for coffee shops. Research limitations/implications The authors used a non-probability convenience sampling method for data collection. The findings cannot be generalized to other types of restaurants, such as fine dining and luxury restaurants. Although the results indicate a positive relation between Wi-Fi usage and a customer’s loyalty, loyalty is a multifaceted concept where a variety of factors, such as frequency or convenience can have an impact. Practical implications The findings should encourage marketers in the restaurant industry to use Wi-Fi as a value-added service for their customers. Originality/value There are limited studies on how significant Wi-Fi service is for the hospitality industry, and in particular, for restaurants. This study builds on the scholarship of Cobanoglu et al. (2012) on the value of the customer loyalty by providing new insights into customers’ views on Wi-Fi service in the restaurant industry.


2021 ◽  
Vol 882 (1) ◽  
pp. 012079
Author(s):  
I Suherman ◽  
S Rochani ◽  
D Cahyaningtyas

Abstract The establishment of the Indonesian Battery Corporation is a step forward to make Indonesia a global player in the electric vehicle battery industry. This state-owned consortium is mandated to develop an integrated electric vehicle battery industry ecosystem from upstream to downstream. Indonesia has around six companies developing High-Pressure Acid Leach processing and refining projects. Battery production for Indonesian electric vehicles is estimated to contribute approximately 12.7% to the global market by 2035. A value-added analysis approach model is estimated to increase Gross Domestic Product by $21,434 billion. In addition, the impact on job creation is around 42,603 people. This estimation can be implemented with some supports, such as partners with proven technology and significant capital to build the precursor and cathode industries, battery cell and battery industries, and the electric vehicle industry and policies related to development.


2021 ◽  
Vol 292 ◽  
pp. 02042
Author(s):  
Yajie Zhao

Innovation is the source of power for the development of an enterprise. The enterprise aims to increase investment in research and development to maintain technological innovation capabilities, thereby enhancing its own competitive advantage. In order to explore the impact of capitalization intensity on corporate performance, this paper selects 2,829 Chinese non-financial listed companies from 2008 to 2020 as research samples, establishes a regression model of R&D expenditure capitalization intensity and corporate performance, and conducts multiple linear regression analysis. The research in this paper finds that the capitalization of R&D expenditure has both a value depreciation effect and a value appreciation effect. From the direct impact point of view, the accounting treatment of capitalization of R&D expenditure reduces the company’s “tax-saving” cash flow and affects the company’s internal resource allocation, thereby reducing the current financial performance; and from the perspective of future effects, capitalized R&D expenditure has passed to the market The signal of R&D “success”, the higher the degree of capitalization of R&D expenditure, the stronger the value-added ability of R&D expenditure in the current period and in the future period.


2020 ◽  
Author(s):  
Vincenzo Mazzarella ◽  
Rossella Ferretti

<p>Nowadays, the use of 4D-VAR assimilation technique has been investigated in several scientific papers with the aim of improving the localization and timing of precipitation in complex orography regions. The results show the positive impact in rainfall forecast but, the need to resolve the tangent linear and adjoint model makes the 4D-VAR computationally too expensive. Hence, it is used in operationally only in large forecast centres. To the aim of exploring a more reasonable method, a comparison between a cycling 3D-VAR, that needs less computational resources, and 4D-VAR techniques is performed for a severe weather event occurred in Central Italy. A cut-off low (992 hPa), located in western side of Sicily region, was associated with a strong south-easterly flow over Central Adriatic region, which supplied a large amount of warm and moist air. This mesoscale configuration, coupled with the Apennines mountain range that further increased the air column instability, produced heavy rainfall in Abruzzo region (Central Italy).</p><p>The numerical simulations are carried out using the Weather Research and Forecasting (WRF) model. In-situ surface and upper-air observations are assimilated in combination with radar reflectivity and radial velocity data over a high-resolution domain. Several experiments have been performed in order to evaluate the impact of 4D-VAR and cycling 3D-VAR in the precipitation forecast. In addition, a statistical analysis has been carried out to objectively compare the simulations. Two different verification approaches are used: Receiver Operating Characteristic (ROC) curve and Fraction Skill Score (FSS). Both statistical scores are calculated for different threshold values in the study area and in the sub-regions where the maximum rainfall occurred.</p>


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