scholarly journals New Normal Weather Breaks a Traditional Clothing Retail Calendar

2021 ◽  
Author(s):  
Jungmi Oh ◽  
Kyung-Ja Ha ◽  
Young-Heon Jo
Keyword(s):  
Extreme Weather Events ◽  
Maximum Temperature ◽  
Observation Data ◽  
New Normal ◽  
Temperature And Precipitation ◽  
Weather Events ◽  
Managerial Implications ◽  
Weather Changes ◽  
Increasing Demand ◽  
Weather Observation

Abstract Background: Clothing businesses have complained of sluggish sales because of new normal weather, an increased variation of temperature and precipitation and the higher occurrence of extreme weather events. Traditionally, the business runs tied to calendar dates or retailing events, and the previous year's sales draw up a sales plan. This study questioned whether the sales planning method of the clothing business is valid and reliable for today. Results: Using weather observation data and Google Trends for the past 11 years, consumers' responses to weather changes were analyzed through the decision tree to learn about consumer insights. The month is the most significant predictor of seasonal clothing demand during a season, and consumers' responses to weather vary from month to month. Minimum temperature and maximum temperature were significant predictors in a particular month. Conclusions: Our results have important managerial implications. Rapid weather changes affect consumers’ demand. Clothing retailers can apply the predictive model to quickly respond to unexpected weather changes, prepare products with rapidly increasing demand not to miss sales opportunities, and adjust quantities and prices for products with sharp declines in demand.

Emergence of projected scaled patterns of extreme weather events over Europe

2021 ◽  
Author(s):  
Tugba Ozturk ◽  
Dominic Matte ◽  
Jens Hesselbjerg Christensen
Keyword(s):  
Hot Spot ◽  
Regional Climate ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Maximum Temperature ◽  
Climate Projections ◽  
Global Mean Temperature ◽  
Temperature And Precipitation ◽  
Weather Events ◽  
Simple Scaling

<div><span>In this work, we investigate the scalability of wet and dry persisting conditions over the European domain. For this aim, we have used the EURO-CORDEX ensemble of regional climate projections at 0.11° grid-mesh for daily minimum and maximum temperature and precipitation to analyze future changes in relation with extreme weather events addressing climate warming targets of 1°C, 2°C and 3°C, respectively. A simple scaling with the annual mean global mean temperature change modeled by the driving GCM is applied. We also identify the emergence of the scaled patterns of minimum and maximum temperatures and of wet and dry persisting conditions in relation with certain extreme weather indices. In particular we focus on pattern scaling of extreme temperatures and precipitation over sub-regions over the Mediterranean basin since this region has been identified as a climate change hot spot.</span></div>

scholarly journals Impact of Extreme Weather Events on Aboveground Net Primary Productivity and Sheep Production in the Magellan Region, Southernmost Chilean Patagonia

Geosciences ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 318
Author(s):  
Pamela Soto-Rogel ◽  
Juan-Carlos Aravena ◽  
Wolfgang Jens-Henrik Meier ◽  
Pamela Gross ◽  
Claudio Pérez ◽  
...  
Keyword(s):  
Primary Productivity ◽  
Net Primary Productivity ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Maximum Temperature ◽  
Aboveground Net Primary Productivity ◽  
Weather Events ◽  
Chilean Patagonia ◽  
Magellan Region ◽  
Sheep Production

Spatio-temporal patterns of climatic variability have effects on the environmental conditions of a given land territory and consequently determine the evolution of its productive activities. One of the most direct ways to evaluate this relationship is to measure the condition of the vegetation cover and land-use information. In southernmost South America there is a limited number of long-term studies on these matters, an incomplete network of weather stations and almost no database on ecosystems productivity. In the present work, we characterized the climate variability of the Magellan Region, southernmost Chilean Patagonia, for the last 34 years, studying key variables associated with one of its main economic sectors, sheep production, and evaluating the effect of extreme weather events on ecosystem productivity and sheep production. Our results show a marked multi-decadal character of the climatic variables, with a trend to more arid conditions for the last 8 years, together with an increase in the frequency of extreme weather events. Significant percentages of aboveground net primary productivity (ANPP) variance is explained by high precipitation, mesic temperatures, and low evapotranspiration. These conditions are, however, spatially distributed in the transition zone between deciduous forests and steppe and do not represent a general pattern for the entire region. Strong precipitation and wind velocity negatively affect lamb survival, while temperature and ANPP are positively correlated. The impact of extreme weather events on ANP and sheep production (SP) was in most of the cases significantly negative, with the exception of maximum temperature that correlated with an increase of ANPP, and droughts that showed a non-significant negative trend in ANPP. The examination of these relationships is urgent under the current scenario of climate change with the acceleration of the environmental trends here detected.

scholarly journals DECISION MAKING ON DISASTER MANAGEMENT IN AGRICULTURE WITH SENTINEL APPLICATIONS

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 121-126 ◽  
Author(s):  
G. Doxani ◽  
S. Siachalou ◽  
Z. Mitraka ◽  
P. Patias
Keyword(s):  
Extreme Weather Events ◽  
Observation Data ◽  
Management Service ◽  
Great Loss ◽  
Weather Events ◽  
Before And After ◽  
Agricultural Areas ◽  
National Governments ◽  
Remote Sensing Methods

<p><strong>Abstract.</strong> Climate change and increase of extreme weather events, besides the numerous consequences, affect significantly and put in risk the agriculture sectors. Natural disasters, such as floods and wildfires, are responsible for a great loss in agriculture production. National governments together with international bodies make an important effort to cooperate towards the response and resilience when a disaster occurs. In this frame the European Earth Observation Programme - Copernicus provides a series of observation data, in-situ measurements and services related, amongst others, to different types of disasters. Concerning the availability of this big volume of observation data, the aim of DiAS (Disaster and Agriculture Sentinel Applications) project is to revise the existing knowledge on remote sensing methods for mapping the extent of natural and/or man-made disaster over agricultural areas and propose improvements. The developed methodology will be implemented in a Decision Support System (DSS), which will be freely available and easy-to-use by non-experts. In this paper, the developed methodology focuses on mapping floods over agricultural areas. Sentinel-1 and Sentinel-2 imagery are used as input information for the comparison analysis before and after the event. The reference for results’ evaluation is the corresponding information delivered by Copernicus Emergency Management Service (EMS). Although, the evaluation results are in good agreement when they could be used, a reference of higher accuracy is needed in order to estimate accurately the quality of the output products.</p>

scholarly journals LOST WATERWAYS: CLUES FROM DIGITIZED HISTORICAL MAPS OF MANILA AND OTHER PHILIPPINES CITIES

2019 ◽  
Vol XLII-4/W19 ◽  
pp. 249-254
Author(s):  
K. G. Jubilo ◽  
M. R. Algodon ◽  
E. M. Torres ◽  
Z. D. Abraham ◽  
A. Ide-Ektessabi ◽  
...  
Keyword(s):  
Extreme Weather ◽  
Extreme Weather Events ◽  
Historical Maps ◽  
Google Maps ◽  
New Normal ◽  
Weather Events ◽  
Flooding Hazards ◽  
Bodies Of Water

Abstract. We search for lost bodies of water in the cities of Manila, Tacloban, Iloilo, Cebu, Davao, and Naga by aligning their digitized Spanish-era and American-era maps to Google maps. These vanished ancient waterways can either become flooding hazards in case of extreme weather events, or liquefaction hazards, in case of earthquakes. Digitized historical maps of the cities were georectified, overlaid on current Google maps, and checked for potential missing bodies of water. Inspection through field visits and interviews with locals were conducted to verify the actual status of suspected sites. The validation identified lost, found, and even new bodies of water. There was also evidence of affected buildings, rainless flooding, and a “new normal” for the meaning of flooding among frequently inundated residents.

scholarly journals Determining the Effect of Extreme Weather Events on Human Participation in Recreation and Tourism: A Case Study of the Toronto Zoo

Atmosphere ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 99
Author(s):  
Micah Hewer
Keyword(s):  
Extreme Weather ◽  
Extreme Weather Events ◽  
Maximum Temperature ◽  
Distance Method ◽  
Daily Weather ◽  
Weather Events ◽  
Daily Weather Data ◽  
Weather Stations ◽  
Recreation And Tourism

This study devises a novel approach for defining extreme weather events and assessing their effects on human participation in recreation and tourism, based on a case study of attendance at the Toronto Zoo (Toronto, ON, Canada). Daily zoo attendance data from 1999 to 2018 was obtained and analyzed in connection with daily weather data from local weather stations for the maximum temperature, minimum temperature, total precipitation, and maximum wind speed. The “climatic distance” method, used for evaluating representative weather stations for case studies in applied climatology, was employed to rank and select surrounding weather stations that most accurately captured daily weather observations recorded at the Toronto Zoo from 1990 to 1992. Extreme weather events can be defined as lying in the outermost (most unusual) 10 percent of a place’s history. Using this definition as the foundation, a percentile approach was developed to identify and assess the effects of extreme weather events across the following thresholds: the 99th percentile, the 95th percentile, and the 90th percentile, as well as less than the 1st percentile, less than the 5th percentile, and less than the 10th percentile. Additionally, revealed, theoretical, and binary thresholds were also assessed to verify their merit and determine their effects, and were compared to the extreme weather events defined by the percentiles approach. Overall, extreme daily weather events had statistically significant negative effects on zoo attendance in Toronto, apart from a few cases, such as the positive effect of usually warm daytime temperatures in the winter and usually cool nighttime temperatures in the summer. The most influential weather event across all seasons was extremely hot temperatures, which has important implications for climate change impact assessments.

Assessment of Extremes in Air Temperature Over North-East and West Coast Regions of India

2012 ◽  
Vol 19 (1) ◽  
Author(s):  
Jamir Tondgimenba ◽  
Uday Shankar De ◽  
Gaddam Krishnakumar
Keyword(s):  
West Coast ◽  
Monsoon Season ◽  
Extreme Weather Events ◽  
Maximum Temperature ◽  
North East ◽  
East Region ◽  
Weather Events ◽  
Increasing Trend ◽  
Post Monsoon Season ◽  
Coast Region

AbstractThe projected effect of climate change is the increase of both the frequency and intensity of extreme weather events. An attempt has been made to study the extremes in temperature over two regions of India i.e. North-East Region (NER) and West Coast Region (WCR). A detailed analysis indicated that in the NER, ten stations indicate increase in annual extreme minimum but significant at four stations. Post-monsoon season is very predominant where five stations show significant increase. In the WCR, all the stations indicate increasing trend in annual extreme maximum temperature significant at nine stations. Majority of the stations indicate significant increasing trend in all the seasons except monsoon season.

scholarly journals Concrete Seawalls: Load Considerations, Ecological Performance, Durability, and Recent Innovations

2021 ◽  
Author(s):  
Nima Hosseinzadeh ◽  
Mohammad Ghiasian ◽  
Esber Andiroglu ◽  
Joel Lamere ◽  
Landolf Rhode-Barbarigos ◽  
...  
Keyword(s):  
Materials Science ◽  
Ecological Engineering ◽  
Extreme Weather Events ◽  
Coastal Protection ◽  
Wave Loads ◽  
Common Category ◽  
Current State ◽  
Ecological Performance ◽  
Weather Events ◽  
Increasing Demand

Increasing frequency of extreme weather events, driven by climate change, has resulted in an increasing demand for coastal structures to protect and stabilize shorelines. Concrete seawalls are a common category of coastal protection structures, designed with the primary objectives of absorbing wave action, preventing coastline erosion, and alleviating flooding. Much research has been carried out on improving the seawall performance. This work is a review of the current state-of-the-art in concrete seawalls focusing on design aspects including wave loading and innovative seawall designs, ecological considerations, and durability aspects. Wave loads on seawalls have received significant attention; however, their quantification remains a challenging task especially for novel designs. Drawing inspiration from natural shorelines, modification of surface complexity at a multitude of scales can improve the otherwise poor ecological performance of seawalls. The corrosion of the steel is a major durability concern, and the use of non-corrosive reinforcement can increase seawall durability towards corrosion. Examples of innovative seawall designs and systems which have the capability to outperform conventional seawalls are discussed. Advances in structural design, ecological engineering, and infrastructure materials science will drive the development of multi-functional seawalls which are sustainable, durable, and resilient.

Future Climate Projection and Zoning of Extreme Temperature Indices

2021 ◽  
Author(s):  
Mohammad Askari Zadeh ◽  
Gholamali Mozaffari ◽  
Mansoureh Kouhi ◽  
Younes Khosravi
Keyword(s):  
Carbon Dioxide Emissions ◽  
Extreme Temperature ◽  
Extreme Weather Events ◽  
Base Period ◽  
The Past ◽  
Temperature And Precipitation ◽  
Weather Events ◽  
The Future ◽  
Temperature Indices ◽  
Future Climate Projection

Abstract Global warming due to increasing carbon dioxide emissions over the past two centuries has had numerous climatic consequences. The change in the behavior and characteristics of extreme weather events such as temperature and precipitation is one of the consequences that have been of interest to researchers worldwide. In this study, the trend of 3 extreme indices of temperature: SU35, TR20, and DTR over two future periods have been studied using downscaled output of 3 GCMs in Razavi Khorasan province, Iran. The results show that the range of temperature diurnal variation (DTR) at three stations of Mashhad, Torbat-e-Heydarieh and Sabzevar during the base period has been reduced significantly. The trend of the number of summer days with temperatures above 35°C (SU35) in both Mashhad and Sabzevar stations was positive and no significant trend was found at Torbat-e-Heydarieh station. The number of tropical nights index (TR20) also showed a positive and significant increase in the three stations under study. The results showed highly significant changes in temperature extremes. The percentage of changes in SU35 index related to base period (1961–2014) for all three models (CNCM3, HadCM3 and NCCCSM) under A1B and A2 scenarios indicated a significant increase for the future periods of 2011–2030 and 2046–2065. TR20 is also expected to increase significantly during the two future periods. The percentage of changes of DTR into the future is negligible.

scholarly journals Increased persistence of large-scale circulation regimes over Asia in the era of amplified Arctic warming, past and future

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jennifer A. Francis ◽  
Natasa Skific ◽  
Stephen J. Vavrus
Keyword(s):  
Large Scale ◽  
Weather Conditions ◽  
First Century ◽  
The Arctic ◽  
Extreme Weather Events ◽  
Temperature And Precipitation ◽  
Weather Events ◽  
Long Duration ◽  
Pattern Recognition Approach ◽  
Insight Into

Abstract Extreme weather events in Asia have been occurring with increasing frequency as the globe warms in response to rising concentrations of greenhouse gases. Many of these events arise from weather regimes that persist over a region for days or even weeks, resulting in disruptive heatwaves, droughts, flooding, snowfalls, and cold spells. We investigate changes in the persistence of large-scale weather systems through a pattern-recognition approach based on daily 500 hPa geopotential height anomalies over the Asian continent. By tracking consecutive days that the atmosphere resides in a particular pattern, we identify long-duration events (LDEs), defined as lasting longer than three days, and measure their frequency of occurrence over time in each pattern. We find that regimes featuring positive height anomalies in high latitudes are occurring more often as the Arctic warms faster than mid-latitudes, both in the recent past and in model projections for the twenty-first century assuming unabated greenhouse gas emissions. The increased dominance of these patterns corresponds to a higher likelihood of LDEs, suggesting that persistent weather conditions will occur more frequently. By mapping observed temperature and precipitation extremes onto each atmospheric regime, we gain insight into the types of disruptive weather events that will become more prevalent as particular patterns become more common.

scholarly journals The occurrence of extreme monthly temperatures and precipitation in two global regions

2017 ◽  
Author(s):  
◽  
Max James Nunes
Keyword(s):  
Southern Oscillation ◽  
Strong Association ◽  
Extreme Temperature ◽  
Extreme Weather Events ◽  
Data Set ◽  
Temperature And Precipitation ◽  
Weather Events ◽  
Southwest Region ◽  
Regional Temperature ◽  
Central Usa

There has been a lot of focus on the occurrence of extreme weather events and their connection to climate change and variability. Much of this previous work has been related to individual events rather than for mean monthly conditions. This study examined the occurrence of extreme conditions in the monthly temperature and precipitation, and some correlations, for two geographically disparate regions of the Northern Hemisphere. These regions are the central USA (cUSA), and the southwest region of Russia (swRUS). For this research, an extreme temperature event was defined as a month that was three seasonal standard deviations from the period mean. Since precipitation is not normally distributed, the three (two) wettest and driest events of every month were chosen for the cUSA (swRUS) region in order to provide for a data set that was of similar size to the temperature data set for each region. The results demonstrate that in cUSA, there was preference for the occurrence of warm anomalies during periods of mean regional temperature increase and vice versa. For swRUS, there was a preference for the occurrence of cold anomalies early in the data set, and warm anomalies in the later part, although this period is one of steadily increasing mean temperatures for the region. There was a strong association at both locations between extreme months and the phase of the El Nino-Southern Oscillation (ENSO). In both regions, cold monthly anomalies were associated with persistent and strong upstream blocking events. Finally, two case studies are examined for the cUSA region.

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