On the impact of divergent part of the wind computed from INSAT OLR data on global analysis and forecast fields

AbstractThe stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings show that the stay-at-home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime.

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Global analysis of the Sivers functions at NLO+NNLL in QCD

Journal of High Energy Physics ◽

10.1007/jhep01(2021)126 ◽

2021 ◽

Vol 2021 (1) ◽

Cited By ~ 2

Author(s):

Miguel G. Echevarria ◽

Zhong-Bo Kang ◽

John Terry

Keyword(s):

Pair Production ◽

Global Analysis ◽

Vector Boson ◽

Lepton Pair ◽

Transverse Spin ◽

Dglap Evolution ◽

Spin Asymmetries ◽

Lepton Pair Production ◽

Asymmetry Data ◽

The Impact

Abstract We perform global fit to the quark Sivers function within the transverse momentum dependent (TMD) factorization formalism in QCD. We simultaneously fit Sivers asymmetry data from Semi-Inclusive Deep Inelastic Scattering (SIDIS) at COMPASS, HERMES, and JLab, from Drell-Yan lepton pair production at COMPASS, and from W/Z boson at RHIC. This extraction is performed at next-to-leading order (NLO) and next-to-next-to leading logarithmic (NNLL) accuracy. We find excellent agreement between our extracted asymmetry and the experimental data for SIDIS and Drell-Yan lepton pair production, while tension arises when trying to describe the spin asymmetries of W/Z bosons at RHIC. We carefully assess the situation, and we study in details the impact of the RHIC data and their implications through different ways of performing the fit. In addition, we find that the quality of the description of W/Z vector boson asymmetry data could be strongly sensitive to the DGLAP evolution of Qiu-Sterman function, besides the usual TMD evolution. We present discussion on this and the implications for measurements of the transverse-spin asymmetries at the future Electron Ion Collider.

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Decision-Making Processes in Controlling Exposure to Sunlight Supported by Simulation Tools: A Case Study in Warm Weather

Energies ◽

10.3390/en14144100 ◽

2021 ◽

Vol 14 (14) ◽

pp. 4100

Author(s):

Mariana Huskinson ◽

Antonio Galiano-Garrigós ◽

Ángel Benigno González-Avilés ◽

M. Isabel Pérez-Millán

Keyword(s):

Decision Making ◽

Global Analysis ◽

Energy Performance ◽

Information Modeling ◽

The European Union ◽

Evaluation Tool ◽

Simulation Tools ◽

Building Information ◽

The Impact

Improving the energy performance of existing buildings is one of the main strategies defined by the European Union to reduce global energy costs. Amongst the actions to be carried out in buildings to achieve this objective is working with passive measures adapted to each type of climate. To assist designers in the process of finding appropriate solutions for each building and location, different tools have been developed and since the implementation of building information modeling (BIM), it has been possible to perform an analysis of a building’s life cycle from an energy perspective and other types of analysis such as a comfort analysis. In the case of Spain, the first BIM environment tool has been implemented that deals with the global analysis of a building’s behavior and serves as an alternative to previous methods characterized by their lack of both flexibility and information offered to designers. This paper evaluates and compares the official Spanish energy performance evaluation tool (Cypetherm) released in 2018 using a case study involving the installation of sunlight control devices as part of a building refurbishment. It is intended to determine how databases and simplifications affect the designer’s decision-making. Additionally, the yielded energy results are complemented by a comfort analysis to explore the impact of these improvements from a users’ wellbeing viewpoint. At the end of the process the yielded results still confirm that the simulation remains far from reality and that simulation tools can indeed influence the decision-making process.

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Public Sector Employment, Quality of Government, and Well-Being: A Global Analysis

International Area Studies Review ◽

10.1177/22338659211011747 ◽

2021 ◽

pp. 223386592110117

Author(s):

Robert Davidson ◽

Alexander Pacek ◽

Benjamin Radcliff

Keyword(s):

Public Sector ◽

Global Analysis ◽

Well Being ◽

Subjective Well Being ◽

Cross Sectional ◽

Political Factors ◽

The Public ◽

Employment Quality ◽

The Impact

While a growing literature within the study of subjective well-being demonstrates the impact of socio-political factors on subjective well-being, scholars have conspicuously failed to consider the role of the size and scope of government as determinants of well-being. Where such studies exist, the focus is largely on the advanced industrial democracies of the Organization for Economic Co-Operation and Development. In this study, we examine the size of the public sector as a determinant of cross-national variation in life satisfaction across a worldwide sample. Our findings strongly suggest that as the public sector grows, subjective well-being increases as well, conditional on the extent of quality of government. Using cross-sectional data on 84 countries, we show this relationship has an independent and separable impact from other economic and political factors.

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

Monthly Weather Review ◽

10.1175/mwr-d-11-00345.1 ◽

2012 ◽

Vol 140 (10) ◽

pp. 3300-3326 ◽

Cited By ~ 15

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.

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Global Analysis of the Double Impact Oscillator Dynamics

Volume 7A: 17th Biennial Conference on Mechanical Vibration and Noise ◽

10.1115/detc99/vib-8039 ◽

1999 ◽

Author(s):

František Peterka

Keyword(s):

Global Analysis ◽

Impact Oscillator ◽

System Parameters ◽

Impact Oscillators ◽

Real Value ◽

Simulation Results ◽

The Impact ◽

Impact Motion ◽

Double Impact ◽

Phase Motion

Abstract The double impact oscillator represents two symmetrically arranged single impact oscillators. It is the model of a forming machine, which does not spread the impact impulses into its neighbourhood. The anti-phase impact motion of this system has the identical dynamics as the single system. The in-phase motion and the influence of asymmetries of the system parameters are studied using numerical simulations. Theoretical and simulation results are verified experimentally and the real value of the restitution coefficient is determined by this method.

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An ANP-Balanced Scorecard Methodology to Quantify the Impact of TQM Elements on Organisational Strategic Sustainable Development: Application to an Oil Firm

Sustainability ◽

10.3390/su12156207 ◽

2020 ◽

Vol 12 (15) ◽

pp. 6207

Author(s):

Carla Andrade Arteaga ◽

Raúl Rodríguez-Rodríguez ◽

Juan-José Alfaro-Saiz ◽

María-José Verdecho

Keyword(s):

Sustainable Development ◽

Balanced Scorecard ◽

Global Analysis ◽

Building Blocks ◽

Analytic Network Process ◽

Management Tool ◽

Integrated Analysis ◽

Total Quality ◽

Strategic Objectives ◽

The Impact

This paper presents a methodology for quantifying the impact of Total Quality Management TQM elements on organisational strategic sustainable development, integrating within it the well-known strategic management tool of Balanced Scorecard to represent the strategic part of the organisations, and the multi-criteria technique Analytic Network Process (ANP) to identify and quantify the mentioned impact. Additionally, the application of TQM generates directly some organisational improvements—or outputs—which help model a decisional ANP network constituted by all three building blocks—TQM elements, strategic objectives and outputs—and their interrelationships. The application of the methodology to an oil firm carried out by an expert group offered, from a decision-making point of view, meaningful results that were developed following three different analyses: Global analysis, which identified the global weight of each variable; Analysis of Influences, which established sound cause–effect relationships between the variables to identify the elements—TQM and outputs—that are more important to achieve the strategic objectives; and the Integrated analysis, which pointed out which TQM elements should be fostered in order to achieve the most important sustainable strategic objectives. Finally, it is suggested to apply the methodology to other types of size and sector activity organisations, as well as to use other techniques that introduce fuzzy elements.

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The impact of COVID-19 pandemic on pornography habits: a global analysis of Google Trends

International Journal of Impotence Research ◽

10.1038/s41443-020-00380-w ◽

2020 ◽

Author(s):

Fabio Zattoni ◽

Murat Gül ◽

Matteo Soligo ◽

Alessandro Morlacco ◽

Giovanni Motterle ◽

...

Keyword(s):

Global Analysis ◽

Google Trends ◽

The Impact

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Impact of Bathythermograph Temperature Bias Models on an Ocean Reanalysis

Journal of Climate ◽

10.1175/2010jcli3534.1 ◽

2011 ◽

Vol 24 (1) ◽

pp. 84-93 ◽

Cited By ~ 13

Author(s):

Benjamin S. Giese ◽

Gennady A. Chepurin ◽

James A. Carton ◽

Tim P. Boyer ◽

Howard F. Seidel

Keyword(s):

Global Analysis ◽

Heat Content ◽

Time Dependent ◽

Ocean Reanalysis ◽

Warm Bias ◽

Temperature Bias ◽

Ocean Data Assimilation ◽

Eastern Equatorial Pacific ◽

The Pacific ◽

The Impact

Abstract Historical bathythermograph datasets are known to be biased, and there have been several efforts to model this bias. Three different correction models of temperature bias in the historical bathythermograph dataset are compared here: the steady model of Hanawa et al. and the time-dependent models of Levitus et al. and Wijffels et al. The impact of these different models is examined in the context of global analysis experiments using the Simple Ocean Data Assimilation system. The results show that the two time-dependent bias models significantly reduce warm bias in global heat content, notably in the 10 years starting in the early 1970s and again in the early 1990s. Overall, the Levitus et al. model has its greatest impact near the surface and the Wijffels et al. model has its greatest impact at subtropical thermocline depths. Examination of the vertical structure of temperature error shows that at thermocline depths the Wijffels et al. model overcompensates, leading to a slight cool bias, while at shallow levels the same model causes a slight warm bias in the central and eastern subtropics and at thermocline depths on the equator in the Pacific Ocean as a result of reduced vertical entrainment. The results also show that the bias-correction models may alter the representation of interannual variability. During the 1997/98 El Niño and the subsequent La Niña the Levitus et al. model, which has its main impact at shallow depths, reduces the 50-m temperature anomalies in the eastern equatorial Pacific by 10%–20% and strengthens the zonal currents by up to 50%. The Wijffels et al. correction, which has its main impact at deeper levels, has much less effect on the oceanic expression of ENSO.

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