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 Estimating the potential impact of climate change on sunflower yield in the Konya province of Turkey

2021 ◽  
pp. 1-13
Author(s):  
Hudaverdi Gurkan ◽  
Vakhtang Shelia ◽  
Nilgun Bayraktar ◽  
Y. Ersoy Yildirim ◽  
Nebi Yesilekin ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Global Climate ◽  
Model Performance ◽  
Global Climate Models ◽  
Climate Projections ◽  
Climate Change Scenarios ◽  
Adaptation To Climate Change ◽  
Impact Of Climate Change ◽  
The Impact

Abstract The impact of climate change on agricultural productivity is difficult to assess. However, determining the possible effects of climate change is an absolute necessity for planning by decision-makers. The aim of the study was the evaluation of the CSM-CROPGRO-Sunflower model of DSSAT4.7 and the assessment of impact of climate change on sunflower yield under future climate projections. For this purpose, a 2-year sunflower field experiment was conducted under semi-arid conditions in the Konya province of Turkey. Rainfed and irrigated treatments were used for model analysis. For the assessment of impact of climate change, three global climate models and two representative concentration pathways, i.e. 4.5 and 8.5 were selected. The evaluation of the model showed that the model was able to simulate yield reasonably well, with normalized root mean square error of 1.3% for the irrigated treatment and 17.7% for the rainfed treatment, a d-index of 0.98 and a modelling efficiency of 0.93 for the overall model performance. For the climate change scenarios, the model predicted that yield will decrease in a range of 2.9–39.6% under rainfed conditions and will increase in a range of 7.4–38.5% under irrigated conditions. Results suggest that temperature increases due to climate change will cause a shortening of plant growth cycles. Projection results also confirmed that increasing temperatures due to climate change will cause an increase in sunflower water requirements in the future. Thus, the results reveal the necessity to apply adequate water management strategies for adaptation to climate change for sunflower production.

The impact of global climate change on the characteristics of seasons in the Carpathian Basin

2021 ◽  
Author(s):  
Csenge Dian ◽  
Rita Pongrácz ◽  
Judit Bartholy ◽  
Attila Talamon
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Heat Waves ◽  
Global Climate ◽  
Regional Climate ◽  
Weather Conditions ◽  
Carpathian Basin ◽  
Data Series ◽  
Heating And Cooling ◽  
The Impact

<p>Similarly to many other regions, warming and extreme weather conditions (e.g. related to temperature and precipitation) are expected to increase due to the effects of climate change in the Carpathian Basin during the 21st century. Consequently, as a result of the clearly detectable warming, the number of frost days in winter decreases and the summer heat waves become more frequent. The transition between winter and summer tends to become shorter and the inter-annual variability is likely to increase. The precise definition of the transition periods between the two extremes of the annual temperature course is very important for several disciplines, e.g. building energy design, where outdoor temperature is a key input to determine the beginning and end of heating and cooling periods. The aim of this research is to examine the possible transformation of the four seasons characteristics of the Carpathian Basin in details using various specific climate indexes (e.g. monthly percentiles, daily temperature fluctuation time series) based on the data of regional climate model simulations taking into account different future scenarios. For this purpose, RCP4.5 and RCP8.5 scenarios are compared to historical runs, and simulated temperature data series are analyzed for the middle and end of the century.</p>

scholarly journals Heat Waves in the City of Gaziantep in Turkey

2017 ◽  
Vol 6 (1) ◽  
pp. 131
Author(s):  
Gülşen Kum
Keyword(s):  
Climate Change ◽  
Heat Waves ◽  
Global Climate ◽  
Thermal Conditions ◽  
Apparent Temperature ◽  
Heat Index ◽  
Index Method ◽  
Temperature Method ◽  
The Impact ◽  
The City

In this study, the duration, frequency and the impact of heat waves on comfort conditions, experienced particularly in the summers, have been examined with the purpose of revealing how the annual and monthly temperatures in Gaziantep, a city located in the South Eastern district of Turkey, are affected by the global climate change. Initially, the data on minimum, maximum and average heat in the period from 1940 to 2015, retrieved from the Meteorological Station in the city center, were analyzed using the Mann-Kendall trend analysis, which is a non-parametric test, and the increase/decrease trends in temperature parameters were determined. Afterwards, the impact of heat waves on the comfort levels was demonstrated using the ''Heat Index (apparent temperature)'' method by Steadman (1979), analyzing the heat waves that are predicted to increase in rate and frequency with the climate change, even though the statistical distributions remain the same. According to the results produced by the Heat Index method, it is estimated that the temperatures in the region will shift towards a warmer climate in terms of thermal conditions. It is believed that this study will be highly instrumental in prompting necessary precautions to avert the heat waves reaching a disaster level in Gaziantep, which is located in a position susceptible to heat waves due to its latitude and geographical conditions.

Orchestrating the nation

2018 ◽  
Author(s):  
Barley Norton
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Global Climate ◽  
East Asian ◽  
Ancestor Worship ◽  
National Heritage ◽  
The City ◽  
Historical Periods ◽  
Party State

This chapter addresses the cultural politics, history and revival of Vietnamese court orchestras, which were first established at the beginning of the Nguyễn dynasty (1802–1945). Based on fieldwork in the city of Hue, it considers the decolonizing processes that have enabled Vietnamese court orchestras to take their place alongside other East Asian court orchestras as a display of national identity in the global community of nations. The metaphor of ‘orchestrating the nation’ is used to refer to the ways in which Vietnamese orchestras have been harnessed for sociopolitical ends in several historical periods. Court orchestras as heritage have recourse to a generic, precolonial past, yet they are not entirely uncoupled from local roots. Through a case-study of the revival of the Nam Giao Sacrifice, a ritual for ‘venerating heaven’, the chapter addresses the dynamics of interaction and exchange between staged performances of national heritage and local Buddhist and ancestor worship rituals. It argues that with growing concern about global climate change, the spiritual and ecological resonances of the Nam Giao Sacrifice have provided opportunities for the Party-state to reassert its position as the supreme guardian of the nation and its people.

scholarly journals Response of altitudinal vegetation belts of the Tianshan Mountains in northwestern China to climate change during 1989–2015

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Zhang ◽  
Lu-yu Liu ◽  
Yi Liu ◽  
Man Zhang ◽  
Cheng-bang An
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Global Climate ◽  
Animal Husbandry ◽  
Forest Tree ◽  
Tianshan Mountains ◽  
Northwestern China ◽  
Temperature And Precipitation ◽  
Altitudinal Belts ◽  
The Impact

AbstractWithin the mountain altitudinal vegetation belts, the shift of forest tree lines and subalpine steppe belts to high altitudes constitutes an obvious response to global climate change. However, whether or not similar changes occur in steppe belts (low altitude) and nival belts in different areas within mountain systems remain undetermined. It is also unknown if these, responses to climate change are consistent. Here, using Landsat remote sensing images from 1989 to 2015, we obtained the spatial distribution of altitudinal vegetation belts in different periods of the Tianshan Mountains in Northwestern China. We suggest that the responses from different altitudinal vegetation belts to global climate change are different. The changes in the vegetation belts at low altitudes are spatially different. In high-altitude regions (higher than the forest belts), however, the trend of different altitudinal belts is consistent. Specifically, we focused on analyses of the impact of changes in temperature and precipitation on the nival belts, desert steppe belts, and montane steppe belts. The results demonstrated that the temperature in the study area exhibited an increasing trend, and is the main factor of altitudinal vegetation belts change in the Tianshan Mountains. In the context of a significant increase in temperature, the upper limit of the montane steppe in the eastern and central parts will shift to lower altitudes, which may limit the development of local animal husbandry. The montane steppe in the west, however, exhibits the opposite trend, which may augment the carrying capacity of pastures and promote the development of local animal husbandry. The lower limit of the nival belt will further increase in all studied areas, which may lead to an increase in surface runoff in the central and western regions.

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.

scholarly journals The Impact Assessment of Climate Change on Building Energy Consumption in Poland

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4084
Author(s):  
Hassan Bazazzadeh ◽  
Peiman Pilechiha ◽  
Adam Nadolny ◽  
Mohammadjavad Mahdavinejad ◽  
Seyedeh sara Hashemi safaei
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Thermal Load ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Building Sector ◽  
Energy Demands ◽  
Heating Load ◽  
The Impact ◽  
The City

A substantial share of the building sector in global energy demand has attracted scholars to focus on the energy efficiency of the building sector. The building’s energy consumption has been projected to increase due to mass urbanization, high living comfort standards, and, more importantly, climate change. While climate change has potential impacts on the rate of energy consumption in buildings, several studies have shown that these impacts differ from one region to another. In response, this paper aimed to investigate the impact of climate change on the heating and cooling energy demands of buildings as influential variables in building energy consumption in the city of Poznan, Poland. In this sense, through the statistical downscaling method and considering the most recent Typical Meteorological Year (2004–2018) as the baseline, the future weather data for 2050 and 2080 of the city of Poznan were produced according to the HadCM3 and A2 GHG scenario. These generated files were then used to simulate the energy demands in 16 building prototypes of the ASHRAE 90.1 standard. The results indicate an average increase in cooling load and a decrease in heating load at 135% and 40% , respectively, by 2080. Due to the higher share of heating load, the total thermal load of the buildings decreased within the study period. Therefore, while the total thermal load is currently under the decrease, to avoid its rise in the future, serious measures should be taken to control the increased cooling demand and, consequently, thermal load and GHG emissions.

scholarly journals Dynamic Downscaling of the Impact of Climate Change on the Ocean Circulation in the Galápagos Archipelago

2013 ◽  
Vol 2013 ◽  
pp. 1-18 ◽  
Author(s):  
Yanyun Liu ◽  
Lian Xie ◽  
John M. Morrison ◽  
Daniel Kamykowski
Keyword(s):  
Climate Change ◽  
Ocean Circulation ◽  
Global Climate Change ◽  
Climate Model ◽  
Global Climate ◽  
Ocean Model ◽  
Reanalysis Dataset ◽  
Equatorial Undercurrent ◽  
Galapagos Archipelago ◽  
The Impact

The regional impact of global climate change on the ocean circulation around the Galápagos Archipelago is studied using the Hybrid Coordinate Ocean Model (HYCOM) configured for a four-level nested domain system. The modeling system is validated and calibrated using daily atmospheric forcing derived from the NCEP/NCAR reanalysis dataset from 1951 to 2007. The potential impact of future anthropogenic global warming (AGW) in the Galápagos region is examined using the calibrated HYCOM with forcing derived from the IPCC-AR4 climate model. Results show that although the oceanic variability in the entire Galápagos region is significantly affected by global climate change, the degree of such effects is inhomogeneous across the region. The upwelling region to the west of the Isabella Island shows relatively slower warming trends compared to the eastern Galápagos region. Diagnostic analysis suggests that the variability in the western Galápagos upwelling region is affected mainly by equatorial undercurrent (EUC) and Panama currents, while the central/east Galápagos is predominantly affected by both Peru and EUC currents. The inhomogeneous responses in different regions of the Galápagos Archipelago to future AGW can be explained by the incoherent changes of the various current systems in the Galápagos region as a result of global climate change.

scholarly journals Climate Change Implications Found in Winter Extreme Sea Level Height Records around Korea

2021 ◽  
Vol 9 (4) ◽  
pp. 377
Author(s):  
Dong Eun Lee ◽  
Jaehee Kim ◽  
Yujin Heo ◽  
Hyunjin Kang ◽  
Eun Young Lee
Keyword(s):  
Climate Change ◽  
Thermal Expansion ◽  
Sea Level ◽  
El Niño ◽  
El Nino ◽  
Winter Season ◽  
Storm Tracks ◽  
Daily Maximum ◽  
The Impact ◽  
Level Height

The impact of climatic variability in atmospheric conditions on coastal environments accompanies adjustments in both the frequency and intensity of coastal storm surge events. The top winter season daily maximum sea level height events at 20 tidal stations around South Korea were examined to assess such impact of winter extratropical cyclone variability. As the investigation focusses on the most extreme sea level events, the impact of climate change is found to be invisible. It is revealed that the measures of extreme sea level events—frequency and intensity—do not correlate with the local sea surface temperature anomalies. Meanwhile, the frequency of winter extreme events exhibits a clear association with the concurrent climatic indices. It was determined that the annual frequency of the all-time top 5% winter daily maximum sea level events significantly and positively correlates with the NINO3.4 and Pacific Decadal Oscillation (PDO) indices at the majority of the 20 tidal stations. Hence, this indicates an increase in extreme event frequency and intensity, despite localized temperature cooling. This contradicts the expectation of increases in local extreme sea level events due to thermal expansion and global climate change. During El Nino, it is suggested that northward shifts of winter storm tracks associated with El Nino occur, disturbing the sea level around Korea more often. The current dominance of interannual storm track shifts, due to climate variability, over the impact of slow rise on the winter extreme sea level events, implies that coastal extreme sea level events will change through changes in the mechanical drivers rather than thermal expansion. The major storm tracks are predicted to continue shifting northward. The winter extreme sea level events in the midlatitude coastal region might not go through a monotonic change. They are expected to occur more often and more intensively in the near future, but might not continue doing so when northward shifting storm tracks move away from the marginal seas around Korea, as is predicted by the end of the century.

Analog Models for Empirical-Statistical Downscaling

2021 ◽  
Author(s):  
María Laura Bettolli
Keyword(s):  
Statistical Downscaling ◽  
Climate Models ◽  
Global Climate ◽  
Regional Climate ◽  
Weather Conditions ◽  
Climate Information ◽  
Analog Method ◽  
Weather Typing ◽  
Regional Climates ◽  
Local Weather

Global climate models (GCM) are fundamental tools for weather forecasting and climate predictions at different time scales, from intraseasonal prediction to climate change projections. Their design allows GCMs to simulate the global climate adequately, but they are not able to skillfully simulate local/regional climates. Consequently, downscaling and bias correction methods are increasingly needed and applied for generating useful local and regional climate information from the coarse GCM resolution. Empirical-statistical downscaling (ESD) methods generate climate information at the local scale or with a greater resolution than that achieved by GCM by means of empirical or statistical relationships between large-scale atmospheric variables and the local observed climate. As a counterpart approach, dynamical downscaling is based on regional climate models that simulate regional climate processes with a greater spatial resolution, using GCM fields as initial or boundary conditions. Various ESD methods can be classified according to different criteria, depending on their approach, implementation, and application. In general terms, ESD methods can be categorized into subgroups that include transfer functions or regression models (either linear or nonlinear), weather generators, and weather typing methods and analogs. Although these methods can be grouped into different categories, they can also be combined to generate more sophisticated downscaling methods. In the last group, weather typing and analogs, the methods relate the occurrence of particular weather classes to local and regional weather conditions. In particular, the analog method is based on finding atmospheric states in the historical record that are similar to the atmospheric state on a given target day. Then, the corresponding historical local weather conditions are used to estimate local weather conditions on the target day. The analog method is a relatively simple technique that has been extensively used as a benchmark method in statistical downscaling applications. Of easy construction and applicability to any predictand variable, it has shown to perform as well as other more sophisticated methods. These attributes have inspired its application in diverse studies around the world that explore its ability to simulate different characteristics of regional climates.

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