Seeing is Believing? An Examination of Perceptions of Local Weather Conditions and Climate Change Among Residents in the U.S. Gulf Coast

Risk Analysis ◽  
2016 ◽  
Vol 36 (11) ◽  
pp. 2136-2157 ◽  
Author(s):  
Wanyun Shao ◽  
Kirby Goidel
Keyword(s):  
Climate Change ◽  
Gulf Coast ◽  
Weather Conditions ◽  
Local Weather ◽  
The U.S

scholarly journals How Would We Cycle Today If We Had the Weather of Tomorrow? An Analysis of the Impact of Climate Change on Bicycle Traffic

2021 ◽  
Vol 13 (18) ◽  
pp. 10254
Author(s):  
Anton Galich ◽  
Simon Nieland ◽  
Barbara Lenz ◽  
Jan Blechschmidt
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Winter Season ◽  
Model Performance ◽  
Weather Conditions ◽  
Planning And Design ◽  
Validation Procedure ◽  
The Impact ◽  
The City ◽  
Local Weather

Bicycle usage is significantly affected by weather conditions. Climate change is, therefore, expected to have an impact on the volume of bicycle traffic, which is an important factor in the planning and design of bicycle infrastructures. To predict bicycle traffic in a changed climate in the city of Berlin, this paper compares a traditional statistical approach to three machine learning models. For this purpose, a cross-validation procedure is developed that evaluates model performance on the basis of prediction accuracy. XGBoost showed the best performance and is used for the prediction of bicycle counts. Our results indicate that we can expect an overall annual increase in bicycle traffic of 1–4% in the city of Berlin due to the changes in local weather conditions caused by global climate change. The biggest changes are expected to occur in the winter season with increases of 11–14% due to rising temperatures and only slight increases in precipitation.

scholarly journals Experiencing climate change: revisiting the role of local weather in affecting climate change awareness and related policy preferences

2021 ◽  
Vol 167 (3-4) ◽  
Author(s):  
Lea Gärtner ◽  
Harald Schoen
Keyword(s):  
Climate Change ◽  
Fixed Effects ◽  
Reference Frames ◽  
Weather Conditions ◽  
Policy Preferences ◽  
Weather Data ◽  
Standard Errors ◽  
Theoretical Argument ◽  
Local Weather

AbstractOver the last few years, climate change has risen to the top of the agenda in many Western democracies, backed by a growing share of voters supporting climate protection policies. To understand how and why these changes came about, we revisit the question whether personal experiences with increasingly unusual local weather conditions affect people’s beliefs about climate change and their related attitudes. We first take a closer look at the theoretical underpinnings and extend the theoretical argument to account for the differential impact of different weather phenomena, as well as the role of prior beliefs and individual reference frames. Applying mixed-effects regressions to a novel dataset combining individual-level multi-wave panel survey data from up to 18,010 German voters collected from 2016 to 2019 with weather data from 514 weather stations, we show that personally experiencing unusual or extreme local weather did not shape people’s awareness of climate change as a political problem or their climate policy preferences in a sustained manner. Even among people who may be considered most likely to exhibit such effects, we did not detect them. Moreover, we demonstrate that the common modeling strategy of combining fixed-effects regression with clustered standard errors leads to severely reduced standard errors and substantively different results. We conclude that it cannot be taken for granted that personally experiencing extreme weather phenomena makes a difference in perceptions of climate change and related policy preferences.

Hydroclimatology of the U.S. Gulf Coast Under Global Climate Change Scenarios

2011 ◽  
Vol 32 (6) ◽  
pp. 561-582 ◽  
Author(s):  
Barry D. Keim ◽  
Royce Fontenot ◽  
Claudia Tebaldi ◽  
David Shankman
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Gulf Coast ◽  
Global Climate ◽  
Climate Change Scenarios ◽  
The U.S

Buster Keaton’s Climate Change

2018 ◽  
Author(s):  
Jennifer Fay
Keyword(s):  
Climate Change ◽  
World War I ◽  
Storm Surges ◽  
Weather Conditions ◽  
Detailed Knowledge ◽  
World War ◽  
Precise Control ◽  
Naturally Occurring ◽  
Peter Sloterdijk ◽  
Slapstick Comedy

Much of Buster Keaton’s slapstick comedy revolves around his elaborate outdoor sets and the crafty weather design that destroys them. In contrast to D. W. Griffith, who insisted on filming in naturally occurring weather, and the Hollywood norm of fabricating weather in the controlled space of the studio, Keaton opted to simulate weather on location. His elaborately choreographed gags with their storm surges and collapsing buildings required precise control of manufactured rain and wind, along with detailed knowledge of the weather conditions and climatological norms on site. Steamboat Bill, Jr. (1928) is one of many examples of Keaton’s weather design in which characters find themselves victims of elements that are clearly produced by the off-screen director. Keaton’s weather design finds parallels in World War I strategies of creating microclimates of death (using poison gas) as theorized by Peter Sloterdijk.

scholarly journals Overheating Risk and Energy Demand of Nordic Old and New Apartment Buildings during Average and Extreme Weather Conditions under a Changing Climate

2021 ◽  
Vol 11 (9) ◽  
pp. 3972
Author(s):  
Azin Velashjerdi Farahani ◽  
Juha Jokisalo ◽  
Natalia Korhonen ◽  
Kirsti Jylhä ◽  
Kimmo Ruosteenoja ◽  
...  
Keyword(s):  
Climate Change ◽  
Energy Demand ◽  
Energy Use ◽  
Residential Buildings ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Living Room ◽  
Extra Energy ◽  
Cooling Unit ◽  
Indoor Conditions

The global average air temperature is increasing as a manifestation of climate change and more intense and frequent heatwaves are expected to be associated with this rise worldwide, including northern Europe. Summertime indoor conditions in residential buildings and the health of occupants are influenced by climate change, particularly if no mechanical cooling is used. The energy use of buildings contributes to climate change through greenhouse gas emissions. It is, therefore, necessary to analyze the effects of climate change on the overheating risk and energy demand of residential buildings and to assess the efficiency of various measures to alleviate the overheating. In this study, simulations of dynamic energy and indoor conditions in a new and an old apartment building are performed using two climate scenarios for southern Finland, one for average and the other for extreme weather conditions in 2050. The evaluated measures against overheating included orientations, blinds, site shading, window properties, openable windows, the split cooling unit, and the ventilation cooling and ventilation boost. In both buildings, the overheating risk is high in the current and projected future average climate and, in particular, during exceptionally hot summers. The indoor conditions are occasionally even injurious for the health of occupants. The openable windows and ventilation cooling with ventilation boost were effective in improving the indoor conditions, during both current and future average and extreme weather conditions. However, the split cooling unit installed in the living room was the only studied solution able to completely prevent overheating in all the spaces with a fairly small amount of extra energy usage.

scholarly journals The Roles of Labor and Profitability in Choosing a Grazing Strategy for Beef Production in the U.S. Gulf Coast Region

2008 ◽  
Vol 40 (1) ◽  
pp. 301-313 ◽  
Author(s):  
Jeffrey M. Gillespie ◽  
Wayne Wyatt ◽  
Brad Venuto ◽  
David Blouin ◽  
Robert Boucher
Keyword(s):  
Gulf Coast ◽  
Stocking Rate ◽  
Rotational Grazing ◽  
Data Set ◽  
Time And Motion ◽  
Continuous Grazing ◽  
Labor Requirements ◽  
Gulf Coast Region ◽  
Coast Region ◽  
The U.S

Comparisons are made concerning labor required and profitability associated with continuous grazing at three stocking rates and rotational grazing at a high stocking rate in the U.S. Gulf Coast region. A unique data set was collected using a time and motion study method to determine labor requirements. Profits are lowest for low stocking rate–continuous grazing and high stocking rate–rotational grazing. Total labor and labor in three specific categories are greater on per acre and/or per cow bases with rotational-grazing than with continuous-grazing strategies. These results help to explain relatively low adoption rates of rotational grazing in the region.

Does climate change affect the chronobiological trends in occurrence of acute coronary syndromes?

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
L Kuzma ◽  
A Kurasz ◽  
M Niwinska ◽  
EJ Dabrowski ◽  
M Swieczkowski ◽  
...  
Keyword(s):  
Climate Change ◽  
Acute Coronary Syndromes ◽  
Hospital Admissions ◽  
Global Climate ◽  
Weather Conditions ◽  
Temperature Changes ◽  
Funding Sources ◽  
Relative Risks ◽  
Coronary Syndromes ◽  
Atmospheric Changes

Abstract Funding Acknowledgements Type of funding sources: None. Background Acute coronary syndromes (ACS) are the leading cause of death all over the world, in the last years chronobiology of their occurrence has been changing. Purpose The aim of this study was to assess the influence of climate change on hospital admissions due to ACS. Methods Medical records of 10,529 patients hospitalized for ACS in 2008–2017 were examined. Weather conditions data were obtained from the Institute of Meteorology. Results Among the patients, 3537 (33.6%) were hospitalized for STEMI, 3947 (37.5%) for NSTEMI, and 3045 (28.9%) for UA. The highest seasonal mean for ACS was recorded in spring (N = 2782, mean = 2.52, SD = 1.7; OR 1.07; 95% CI 1.0-1.2; P = 0.049) and it was a season with the highest temperature changes day to day (Δ temp.=11.7). On the other hand, every 10ºC change in temperature was associated with an increased admission due to ACS by 13% (RR 1.13; 95% CI 1.04-1.3; P = 0.008). Analysis of weekly changes showed that the highest frequency of ACS occurred on Thursday (N = 1703, mean = 2.7, SD = 1.9; OR 1.16; 95% CI 1.0-1.23; P = 0.004), in STEMI subgroup it was Monday (N = 592, mean = 0.9, SD = 1.6, OR 1.2; 95% CI 1.1-1.4; P = 0.002). Sunday was associated with decreased admissions due to all types of ACS (N = 1098, mean = 1.7, SD = 1.4; OR 0.69; 95% CI 0.6-0.8, P < 0.001). In the second half of the study period (2013-2018) the relative risks of hospital admissions due to ACS were 1.043 (95%CI: 1.009-1.079, P = 0.014, lag 0) and 0.957 (95%CI: 0.925-0.990, P = 0.010, lag 1) for each 10ºC decrease in temperature; 1.049 (95% CI: 1.015-1.084, P = 0.004, lag 0) and 1.045 (95%CI: 1.011-1.080, P = 0.008, lag 1) for each 10 hPa decrease in atmospheric pressure and 1.180 (95% CI: 1.078-1.324, P = 0.007, lag 0) for every 10ºC change in temperature. For the first half of the study the risk was significantly lower. Conclusion We observed a shift in the seasonal peak of ACS occurrence from winter to spring which may be related to temperature fluctuation associated with climate change in this season. The lowest frequency of ACS took place on weekends. Atmospheric changes had a much more pronounced effect on admissions due to ACS in the second half of the analyzed period, which is in line with the dynamics of global climate change.

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