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Journal articles on the topic 'Weather'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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1

Taušer, J., and R. Čajka. "Weather derivatives and hedging the weather risks." Agricultural Economics (Zemědělská ekonomika) 60, No. 7 (July 18, 2014): 309–13. http://dx.doi.org/10.17221/11/2014-agricecon.

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The article focuses on weather derivatives with the aim to present the substance of weather derivatives as relatively new financial products and to discuss their advantages and disadvantages when being used as a tool to diminish the loses coming from these suboptimal weather conditions. We conclude with the findings that weather derivatives have a great potential to develop further. They provide an opportunity to hedge against the suboptimal weather conditions at reasonable costs. However, the hedging effectiveness is the main issue to be analyzed in each specific business case.  

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2

Pu, Chengyi, Yueyun (Bill) Chen, and Xiaojun Pan. "Weather indexes, index insurance and weather index futures." Insurance Markets and Companies 9, no. 1 (August 31, 2018): 32–40. http://dx.doi.org/10.21511/ins.09(1).2018.04.

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This paper compares the weather insurance, weather index insurance and index futures and focuses on why China needs to develop weather indexes and adopt and trade weather index futures. It further discusses how to construct the indexes and futures and how to price them. Different from the Heating Degree Days (HDDs) and Cooling Degree Days (CDDs) used at Chicago Mercantile Exchange (CME), it develops the Extremely Heating Days (EHDs) and Extremely Cooling Days (ECDs) to derive relevant temperature-based weather index futures. Recently China has started using weather index insurance to cover farmers’ risk. Through comparisons of weather index futures with index insurance, this study shows the necessity and importance of using the weather index futures to better protect farmers and better develop China’s financial markets.

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3

Parris, Thomas M. "Weather, Weather Everywhere." Environment: Science and Policy for Sustainable Development 48, no. 7 (September 2006): 3. http://dx.doi.org/10.3200/envt.48.7.3-3.

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4

Chandler, Barb. "Weather Talk: Froggy Weather." Weatherwise 57, no. 1 (January 2004): 42–43. http://dx.doi.org/10.1080/00431670409605423.

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5

Reed, Mary. "Weather Talk: Beastly Weather." Weatherwise 43, no. 5 (October 1990): 274–76. http://dx.doi.org/10.1080/00431672.1990.9929354.

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6

Ungelenk, Johannes. "„The storm is up and all is on the hazard“ Shakespeares Tragödien und das Wetter." Poetica 51, no. 1-2 (September 22, 2020): 119–47. http://dx.doi.org/10.30965/25890530-05101003.

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Abstract The article is dedicated to the role of weather in Shakespeare’s tragedies. It traces a dense network of instances of weather – stage weather, narrated weather events, weather imagery – throughout his plays, and attempts to reconstruct the weather’s structural implications for the genre of tragedy. The way early modern humoral pathology understood the weather’s influence on the humours of the human body – for which Shakespeare’s plays themselves give evidence – provides the background for reconstructing the function of the weather as a source of tragic force. Its turbulence not only infects the characters in the play and thereby drives the plot, but also transgresses the boundaries of the fictional world and affects spectators in the auditorium.

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7

Shi, J., K. Wen, and L. Cui. "Patterns and trends of high-impact weathers in China during 1959–2014." Natural Hazards and Earth System Sciences Discussions 3, no. 10 (October 9, 2015): 6149–84. http://dx.doi.org/10.5194/nhessd-3-6149-2015.

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Abstract. The spatial and temporal characteristics in the frequencies of four types of high-impact weathers (HIWs), i.e. snowfall, thunderstorm, foggy and hailstorm weathers were analyzed in China by using daily weather phenomenon data from 604 stations. Results indicate that snowfall, thunderstorm, foggy and hailstorm days showed significant decreasing trends with rates of 2.5, 2.6, 0.8 and 0.5 days per decade respectively, and snowfall, thunderstorm, foggy and hailstorm weather processes decreased significantly at rates of 0.3, 0.4, 0.1 and 0.1 times per decade during 1959–2014. Spatially, snowfall weathers were more in northeastern and western China, and thunderstorm weathers were more in southern and southwestern China. Foggy weathers were more in some high mountain stations, eastern China and central China, and hailstorm weathers were concentrated on Qinghai–Tibet Plateau. Over the past 56 years, snowfall days, thunderstorm days and thunderstorm weather processes decreased in most parts of China, with decreasing rates of 1.0–6.0 days, 1.5–8.0 days and 0.2–1.0 times per decade respectively. Hailstorm days decreased in northeastern China and most parts of northern and western China at a rate of 0.2–4.5 days per decade. The spatial trends of foggy days, foggy weather processes and snowfall weather processes were not significant in most parts of China. With climate change and rapidly economic development, more policies and strategies of reducing social vulnerabilities and/or exposures to HIWs are essential for the government and social publics.

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8

Campbell, Sean D., and Francis X. Diebold. "Weather Forecasting for Weather Derivatives." Journal of the American Statistical Association 100, no. 469 (March 2005): 6–16. http://dx.doi.org/10.1198/016214504000001051.

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9

Ashford, Oliver M. "The weather - and Weather (1)." Weather 66, no. 5 (April 26, 2011): 136–37. http://dx.doi.org/10.1002/wea.773.

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10

Clarke, Peter. "The weather - and Weather (2)." Weather 66, no. 5 (April 26, 2011): 138. http://dx.doi.org/10.1002/wea.776.

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11

Gregory, Richard. "Weather recurrences and weather cycles." Quarterly Journal of the Royal Meteorological Society 56, no. 234 (September 10, 2007): 103–20. http://dx.doi.org/10.1002/qj.49705623402.

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12

Ivana, Stulec, Petljak Kristina, and Bakovic Tomislav. "Effectiveness of weather derivatives as a hedge against the weather risk in agriculture." Agricultural Economics (Zemědělská ekonomika) 62, No. 8 (August 22, 2016): 356–62. http://dx.doi.org/10.17221/188/2015-agricecon.

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Weather affects the economies worldwide and all economic sectors are to some extent weather sensitive. Agriculture is traditionally highly weather sensitive. While the catastrophic impact of weather has been long recognized, studied and managed the non-catastrophic weather risk gains in importance as the climate change becomes more pronounced. Weather derivatives provide a flexible management solution for the non-catastrophic weather risk. The paper presents weather derivatives as a new weather risk management tool and reviews and discusses the effectiveness of their application in agriculture

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13

Garcia. "Weather." Antioch Review 78, no. 1 (2020): 183. http://dx.doi.org/10.7723/antiochreview.78.1.0183.

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14

Erwin, Gwyneth Kerr. "Weather." Psychoanalytic Perspectives 8, no. 1 (March 2011): 117–20. http://dx.doi.org/10.1080/1551806x.2011.10473127.

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15

Clark, Stephen. "Weather." JAMA: The Journal of the American Medical Association 270, no. 15 (October 20, 1993): 1776. http://dx.doi.org/10.1001/jama.1993.03510150008001.

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16

Shermak, Jeremy L., and Kelsey N. Whipple. "“I love weather more than anybody”: A digital ethnography of The Weather Channel’s fan community." E-Learning and Digital Media 17, no. 4 (June 9, 2020): 271–89. http://dx.doi.org/10.1177/2042753020926589.

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We Love Weather is the fan community of The Weather Channel. Launched in 2016, We Love Weather aims to serve so-called “weather geeks” by providing exclusive and specialized weather content, as well as participatory and communal elements. This study proposes that We Love Weather is an “affinity space” where participants create, procure, and develop content and knowledge. It exemplifies the power and capability of a high-functioning, efficient online information hub. Using digital ethnographic analysis of We Love Weather’s discussion forums and user-generated content, we found that We Love Weather promotes teaching and learning of weather information through sharing and community maintenance that establishes the site as an affinity space. It is an example of a positive, helpful, and deliberative online space.

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17

Brockett, Patrick L., Mulong Wang, and Chuanhou Yang. "Weather Derivatives and Weather Risk Management." Risk Management Insurance Review 8, no. 1 (March 2005): 127–40. http://dx.doi.org/10.1111/j.1540-6296.2005.00052.x.

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18

Reed, Mary. "Weather Talk: Old Macdonald's Weather School." Weatherwise 41, no. 6 (December 1988): 342–43. http://dx.doi.org/10.1080/00431672.1988.9925292.

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19

Dvoskin, Norm. "Weather Talk: Take the Weather … Please!" Weatherwise 47, no. 5 (November 1994): 35. http://dx.doi.org/10.1080/00431672.1994.9925942.

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20

Sharma, Joy, Afzal Khan, Nirban Kaif, Bhavesh Mishra, and Mrs Poonam Vengulekar. "Weather Webapp Using Reactjs And Weather API." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 3460–61. http://dx.doi.org/10.22214/ijraset.2022.43178.

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Abstract: Over the past year Weather app is extremely useful to check weather for user all across the world and it will only grow by time. Most popular Weather app are Google Weather , Yahoo Weather and so on as this Weather app are very user friendly so that user don’t get any difficult to use Weather app.

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21

Murakami, Soichiro, Sora Tanaka, Masatsugu Hangyo, Hidetaka Kamigaito, Kotaro Funakoshi, Hiroya Takamura, and Manabu Okumura. "Generating Weather Comments from Numerical Weather Prediction." Journal of Natural Language Processing 28, no. 4 (2021): 1210–46. http://dx.doi.org/10.5715/jnlp.28.1210.

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22

Perrels, Adriaan, Athanasios Votsis, Väinö Nurmi, and Karoliina Pilli-Sihvola. "Weather Conditions, Weather Information and Car Crashes." ISPRS International Journal of Geo-Information 4, no. 4 (November 27, 2015): 2681–703. http://dx.doi.org/10.3390/ijgi4042681.

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23

Gifford, James, Mary Grace Snyder, and Jennifer Locraft Cuddapah. "Novice Career Changers Weather the Classroom Weather." Phi Delta Kappan 94, no. 6 (March 2013): 50–54. http://dx.doi.org/10.1177/003172171309400613.

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24

Landsberg, Helmut E. "Weather Talk: The Value of Weather Chronicles." Weatherwise 38, no. 6 (December 1985): 322–23. http://dx.doi.org/10.1080/00431672.1985.9941062.

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25

Reed, Mary. "Weather Talk: Weather God of the Hittites." Weatherwise 44, no. 2 (April 1991): 38–39. http://dx.doi.org/10.1080/00431672.1991.9927167.

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26

LeComte, Douglas. "U.S. Weather Highlights 2011: Unparalleled Weather Extremes." Weatherwise 65, no. 3 (April 30, 2012): 20–27. http://dx.doi.org/10.1080/00431672.2012.670073.

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27

Blackmore, J. "SOLUTION TO WEATHER CONDITIONS QUIZ (AUGUST WEATHER)." Weather 40, no. 9 (September 1985): 285. http://dx.doi.org/10.1002/j.1477-8696.1985.tb06901.x.

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28

Gibbons, D. "WEATHER LOG STATION WATNALL - NOTTINGHAM WEATHER CENTRE*." Weather 41, no. 9 (September 1986): 289–91. http://dx.doi.org/10.1002/j.1477-8696.1986.tb03861.x.

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29

Malau, Sabam, Bangun Tampubolon, Parlindungan Lumbanraja, Maria R. Sihotang, and Benika Naibaho. "Response of arabica coffee populations on coffee leaf rust in two weather conditions in North Sumatra, Indonesia." IOP Conference Series: Earth and Environmental Science 1297, no. 1 (February 1, 2024): 012017. http://dx.doi.org/10.1088/1755-1315/1297/1/012017.

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Abstract Coffee leaf rust (CLR) disease is seriously threatening the sustainability of coffee production in many countries. The incidence and severity as CLR parameters generally depend on the coffee plant, pathogen, and environment. Therefore, this study aimed to determine the effect of arabica coffee populations and weather conditions on CLR parameters. The study was carried out using a field experiment with seven groups of arabica coffee populations in different weathers in North Sumatra Province, Indonesia. The results showed that the arabica coffee population P7 from District Toba had high resistance to wet weather. Furthermore, all the population groups showed higher degree of CLR parameters in dry than wet weather, while a significant interaction between the population and the weather was observed on branch rust incidence, leaf rust incidence, and severity. Moreover, H. vastatrix races were probably varied and had different adaptability to weather changes, which was the most decisive factor for the dispersal and severity of CLR. The CLR parameters in the dry weather did not correlate with the parameters in the wet weather and vice versa. The total rainfall and the number of the rainy day reduced the CLR dispersal and severity.

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30

Allen-Collinson, Jacquelyn, George Jennings, Anu Vaittinen, and Helen Owton. "Weather-wise? Sporting embodiment, weather work and weather learning in running and triathlon." International Review for the Sociology of Sport 54, no. 7 (March 15, 2018): 777–92. http://dx.doi.org/10.1177/1012690218761985.

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Weather experiences are currently surprisingly under-explored and under-theorised in sociology and sport sociology, despite the importance of weather in both routine, everyday life and in recreational sporting and physical–cultural contexts. To address this lacuna, we examine here the lived experience of weather, including ‘weather work’ and ‘weather learning’, in our specific physical–cultural worlds of distance-running, triathlon and jogging in the United Kingdom. Drawing on a theoretical framework of phenomenological sociology, and the findings from five separate auto/ethnographic projects, we explore the ‘weather-worlds’ and weather work involved in our physical–cultural engagement. In so doing, we address ongoing sport sociological concerns about embodiment and somatic, sensory learning and ways of knowing. We highlight how weather work provides a key example of the phenomenological conceptualisation of the mind–body–world nexus in action, with key findings delineating weather learning across the meteorological seasons that contour our British weather-related training.

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31

Sallar, Jawaria, Sallar Khan, Shariq Ahmed, Parshan Kumar, Hasham Faridy, and Mahaveer Rathi. "Shop Weatherly – A Weather based Smart E-Commerce System Using CNN." Revista Gestão Inovação e Tecnologias 11, no. 4 (July 22, 2021): 2785–800. http://dx.doi.org/10.47059/revistageintec.v11i4.2318.

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In this current era of modern online shopping, people want to spend as little time as possible when it comes to buying products, therefore they prefer online shopping. People go shopping when the weather gets changed. For travelers, there is no such E-commerce platform that can recommend clothes according to any city weather. Even when people want to gift clothes to someone living in another country there is no such platform that gives recommendation of clothes according to that city's weather. They usually face problems when they want to buy weather-based products from various E-commerce platforms where they see mixed clothes of all types of weather which is very time-consuming, they become so confused most of the time that they think about whether they should buy or not. In this paper, we proposed a novel idea by using Convolutional Neural Network Algorithm of deep learning for developing an e-commerce platform that is unique in a way that it recommends clothes according to the city weather which provides hassle-free environment eventually saves customer's time thereby increasing customer satisfaction.

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32

Taylor, John, and Dennis O'Driscoll. "Weather Permitting." Antioch Review 58, no. 4 (2000): 531. http://dx.doi.org/10.2307/4614088.

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33

Coulehan, Jack. "Unsettled Weather." Annals of Internal Medicine 163, no. 6 (September 15, 2015): 471. http://dx.doi.org/10.7326/m15-1164.

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34

Wright, Sarah, and Matalena Tofa. "Weather geographies: Talking about the weather, considering diverse sovereignties." Progress in Human Geography, January 20, 2021, 030913252098294. http://dx.doi.org/10.1177/0309132520982949.

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In this era of climate crisis, weather, once deemed the ultimate ‘natural’ force within dominant Western accounts, is being deeply (re)considered. Yet these (re)considerations often approach theories of weather, and weather itself, as aer nullius, dismissing or downplaying prior relationships, belongings and becomings with/as weather and the power relations that mediate what weather means and does. In this article, we aim to speak back to aer nullius and consider weathers' many diverse sovereignties. We engage with weather in ways led by Indigenous scholars and their allies and trace our own positionalities and responsibilities through what it means to weather on unceded Indigenous land. Our focus is brought to power and weather, to the enrolment of weathers' beings and becomings to differentially discipline and empower. Entwining its way through these accounts, but in ways not generally acknowledged, are the sovereignties of weather knowledges and the sovereignties of weather itself. The beings and becomings of weather have their own Law/s, their own knowledges, their own survivances, their own sovereignties. We end the article with a consideration of academic positionalities and responsibilities as we weather and are weathered in entangled, more-than-human ways.

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35

"Weather Front Changing Weather?" Weatherwise 58, no. 4 (July 2005): 12–17. http://dx.doi.org/10.3200/wewi.58.4.12-17.

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36

Campbell, Sean D., and Francis X. Diebold. "Weather Forecasting for Weather Derivatives." SSRN Electronic Journal, 2002. http://dx.doi.org/10.2139/ssrn.359663.

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37

Campbell, Sean D., and Francis X. Diebold. "Weather Forecasting for Weather Derivatives." SSRN Electronic Journal, 2001. http://dx.doi.org/10.2139/ssrn.284950.

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38

"Weather and space weather links." Astronomy & Geophysics 60, no. 2 (April 1, 2019): 2.7. http://dx.doi.org/10.1093/astrogeo/atz072.

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39

"Weather Logger Using Weather Cloud." International Research Journal of Modernization in Engineering Technology and Science, June 18, 2023. http://dx.doi.org/10.56726/irjmets42225.

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40

"Weather." Disaster Prevention and Management: An International Journal 8, no. 1 (March 1999). http://dx.doi.org/10.1108/dpm.1999.07308aac.004.

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41

"Weather." Disaster Prevention and Management: An International Journal 8, no. 2 (May 1999). http://dx.doi.org/10.1108/dpm.1999.07308bac.002.

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42

"Weather." Disaster Prevention and Management: An International Journal 8, no. 3 (August 1999). http://dx.doi.org/10.1108/dpm.1999.07308cac.004.

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43

"Weather." Disaster Prevention and Management: An International Journal 8, no. 4 (October 1999). http://dx.doi.org/10.1108/dpm.1999.07308dac.002.

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44

"Weather." Disaster Prevention and Management: An International Journal 8, no. 5 (December 1999). http://dx.doi.org/10.1108/dpm.1999.07308eac.004.

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45

"Weather." Disaster Prevention and Management: An International Journal 10, no. 3 (August 2001). http://dx.doi.org/10.1108/dpm.2001.07310cac.003.

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46

"Weather." Disaster Prevention and Management: An International Journal 10, no. 4 (October 2001). http://dx.doi.org/10.1108/dpm.2001.07310dac.003.

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47

"Weather." Disaster Prevention and Management: An International Journal 11, no. 3 (August 2002). http://dx.doi.org/10.1108/dpm.2002.07311cac.003.

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48

"Weather." Disaster Prevention and Management: An International Journal 11, no. 5 (December 2002). http://dx.doi.org/10.1108/dpm.2002.07311eac.003.

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49

"Weather." Disaster Prevention and Management: An International Journal 12, no. 2 (May 2003). http://dx.doi.org/10.1108/dpm.2003.07312bac.004.

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50

"Weather." Disaster Prevention and Management: An International Journal 12, no. 5 (December 2003). http://dx.doi.org/10.1108/dpm.2003.07312eac.001.

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