Relevant bibliographies by topics / Weather

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Weather'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Weather"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Weather"

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Evarest, Sinkwembe Emanuel. "Modelling Weather Dynamics for Weather Derivatives Pricing." Licentiate thesis, Linköpings universitet, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139253.

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This thesis focuses on developing an appropriate stochastic model for temperature dynamics as a means of pricing weather derivative contracts based on temperature. There are various methods for pricing weather derivatives ranging from simple one like historical burn analysis, which does not involve modeling the underlying weather variable to complex ones that require Monte Carlo simulations to achieve explicit weather derivatives contract prices, particularly the daily average temperature (DAT) dynamics models. Among various DAT models, appropriate regime switching models are considered relative better than single regime models due to its ability to capture most of the temperature dynamics features caused by urbanization, deforestation, clear skies and changes of measurement station. A new proposed model for DAT dynamics, is a two regime switching models with heteroskedastic mean-reverting process in the base regime and Brownian motion with nonzero drift in the shifted regime. Before using the model for pricing temperature derivative contracts, we compare the performance of the model with a benchmark model proposed by Elias et al. (2014), interms of the HDDs, CDDs and CAT indices. Using ve data sets from dierent measurement locations in Sweden, the results shows that, a two regime switching models with heteroskedastic mean-reverting process gives relatively better results than the model given by Elias et al. We develop mathematical expressions for pricing futures and option contracts on HDDs, CDDs and CAT indices. The local volatility nature of the model in the base regime captures very well the dynamics of the underlying process, thus leading to a better pricing processes for temperature derivatives contracts written on various index variables. We use the Monte Carlo simulation method for pricing weather derivatives call option contracts.
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Robon, Melissa. "Heavy weather." View electronic thesis, 2008. http://dl.uncw.edu/etd/2008-1/rp/robonm/melissarobon.pdf.

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Xu, Wei. "Weather derivatives." Doctoral thesis, Humboldt-Universität zu Berlin, Landwirtschaftlich-Gärtnerische Fakultät, 2008. http://dx.doi.org/10.18452/15815.

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Wetter stellt für die Landwirtschaft einen Hauptunsicherheitsfaktor dar. Angesichts der Kli-maveränderung gilt es als wahrscheinlich, dass Wetterschwankungen und die Häufigkeit extremer Wetterereignisse in Zukunft zunehmen werden. Vor diesem Hintergrund spielt die Entwicklung von Wetterrisikomanagementinstrumenten eine wichtige Rolle zur Einkom-mensstabilisierung in der Landwirtschaft sowohl in entwickelten Volkswirtschaften als auch in Entwicklungsländern. Seit Mitte der neunziger Jahre werden auf Finanzmärkten sogenannte Wetterderivate angebo-ten, die den Austausch von Wetterrisiken zwischen Marktteilnehmern ermöglichen. Zielsetzung der vorliegenden Arbeits ist es, die Einsatzmöglichkeiten von Wetterderivaten in der Landwirtschaft zu untersuchen. Dazu sind verschiedene methodische Vorarbeiten zu leisten. Erstens, wird ein statistisches Modell benötigt, das die Unsicherheit des betrachteten Wetterereignisses (z.B. Temperatur oder Niederschlag) beschreibt. Zweitens, muss der Zusammenhang zwischen Wetter und landwirtschaftlicher Produkti-on abgebildet werden. Drittens, schließlich bedarf es eines theoretischen Modells, um das Wetterderivat zu bepreisen. Liegen die genannten Modellkomponenten vor, kann die Hedgingeffektivität eines Wetterde-rivats aus Sicht eines landwirtschaftlichen Produzenten bestimmt werden. Dies geschieht in der vorliegenden Arbeit beispielhaft für Getreideproduzenten in Deutschland. Es zeigt sich, dass die Hedgigeffektivität und damit die Zahlungsbereitschaft für Wetterderivate produkt- und regionsspezifisch ist. Angesichts eines ausgeprägten Basisrisikos ist es unwahrscheinlich, dass Wetterderivate in Deutschland eine breite Anwendung durch Landwirte erfahren werden. Ihr Anwendungspotenzial bei landwirtschaftlichen Versicherern und Rückversicheren er-scheint dagegen höher, da diese mit Hilfe von Wetterderivaten einen Teil ihres systematischen Risikos aus landwirtschaftlichen Ertragsversicherungen auf den Kapitalmarkt transferieren können.
Weather is a major factor of uncertainty for agriculture. The effects of climate change means that it is likely that in the future there will be increased fluctuations in weather patterns and extreme meteorological events will become more regular. In this context, the development of weather risk management instruments plays an important role in the stabilising of incomes in the agricultural sector, both in developed economies as well as in developing countries. Since the mid-nineties, so-called weather derivatives have been emerged on the market which enables participants in the market to exchange weather risks. This work aims to investigate the implementation possibilities of weather derivatives in agriculture. A range of methodological preliminary investigations will be carried out. First of all it is necessary to find a statistical model which describes the uncertainty of observed weather events (e.g. temperature or precipitation). Secondly, the relationship between weather and agricultural production needs to be mapped. Thirdly, a theoretical model needs to be devised which is capable of pricing the weather derivatives. The hedging effectiveness of a weather derivative can be determined from the point of view of an agricultural producer using the model components described above. This study will use the example of grain producers in Germany. It will demonstrate that hedging effectiveness and with it willingness to pay for weather derivatives depends on the product and region. A pronounced basis risk means that it is unlikely that weather derivatives will be widely used by farmers in Germany. Their application potential for agricultural insurers and reinsurers, however, seems greater, since they can use weather derivatives to transfer a part of their systematic risk from agricultural income insurance onto the capital market.
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Ketsiri, Kingkan. "Weather exposure and the market price of weather risk." Thesis, University of Exeter, 2012. http://hdl.handle.net/10036/3904.

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Whilst common intuition and the rapid growth of weather derivative practices effectively support the notion that equity returns are sensitive to weather randomness, empirical support is fragile. This thesis is the first study that investigates weather exposure and weather risk-return trade-off consistent with the arbitrage pricing theory (APT). It explores weather risk and its premium in the U.S. market during January 1980 to December 2009, based on three of the most weather-influenced industries. The research starts with the construction of ten seasonally-adjusted weather measures as the proxies of unexpected temperature, gauged in Fahrenheit degree and percentage terms. The weather exposures of individual firms are estimated based on each of the ten measures and the market return. Although average weather exposure coefficients are small, the number of firms with significant estimates is more than attributable to chance and results are more profound in utilities. The weather coefficients are mainly stable over the sample period, indicating that the introduction of weather derivatives does not significantly impact a firm’s weather exposure. Further investigation into summer and winter time reveals that most of the significant weather betas are found in winter. However, only a minority of firms have statistically different weather betas between the two seasons. Results are robust with respect to the ten measures. The finding that unpredictable weather broadly affects groups of stocks has a direct implication in asset prices, as weather risk may be one of the priced factors. In this study, the weather risk premium is estimated using the standard two-pass Fama and MacBeth (1973) methodology, enhanced with Shanken’s adjustments for the errors in variables problem. The tests are based on firm-level and portfolio-level regressions, assessed by different model specifications and repeated for the ten weather measures. In the unconditional setting, there is little support that the market price of weather risk is not zero. Although the estimates are insignificant, the magnitudes of weather premiums are relatively high compared with those of other macroeconomic factors in previous literature. Most of the estimated weather pricings are negative; thus, stocks exposed to weather should be hedged against an unanticipated increase in temperature. The main pricing results are robust to alternative sample sets, portfolio formations, base assets and weather measures. Nonetheless, the significance of weather premium is slightly affected by model specifications. In few cases, the pricings of weather risk are significant when the positive values of weather betas are used in cross-sectional regressions.
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ERIKSSON, CARL, and EMIL RONSTRÖM. "Natural language generated weather forecastfrom time series of weather data." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157519.

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This thesis intends to determine how people understandand feel about natural language generated sentences, in this case natural language generated forecasts. This was done by building a server that pulled raw weather information from SMHI api, analysed it and generated weather forecasts.For evaluation, a survey was made and from the resulta conclusion was drawn that people are able to both understand and correlate the sentences that was generated to its information.
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Randalls, Samuel Cecil. "Firms finance and the weather : the UK weather derivatives market." Thesis, University of Birmingham, 2006. http://etheses.bham.ac.uk//id/eprint/327/.

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The spectre of climate change is motivating businesses to evaluate the weather sensitivity of their operations and earnings. Persistent changes in day-to-day weather, such as a warmer than average winter, may prove very costly for businesses and since 1997 a new financial market has grown up around the mitigation of these day-to-day weather risks. This weather derivatives market has expanded from being a small US energy product to become a $45.2 billion industry by 2006. In the process this commodification of weather indexes is re-valuing meteorological data, forecasts and expertise, as well as changing the ways in which firms have traditionally considered weather as unmanageable. This thesis presents an empirical examination of the weather derivatives market, particularly focusing upon the UK, drawing upon in-depth interviews with market participants. Setting this within the context of current theories in human geography and science studies, the research also illustrates the material and discursive implications weather derivatives are having not just on firms and meteorology, but also climate change policies.
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Castro, Cesar E. "Red Weather Sacrifice." NCSU, 2007. http://www.lib.ncsu.edu/theses/available/etd-03132007-133325/.

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This collection of poems examines Latino migration to the United States from the perspective of a Central American immigrant on U.S. soil. The poems pay particular attention to the Mexican/American border landscape, the nostalgia of the homeland, the condition of Latino immigrants in the South, and the struggles associated with assimilation. Through surreal imagery, echoes of Latin-American poetry, and Mayan allusions, the poems represent the contemporary Latino experience: a battle of past, present, American, and Latin forces.
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Steyn, Herman. "All-Weather Portfolio." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/64821.

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The Weather Effect, where stock returns are affected by investors as a result of weatherinduced mood changes, has been found on various stock exchanges. Pizulito and Roncone (2016) argued that The Weather Effect could be a profitable market strategy. This research report investigated the usefulness of this phenomenon for predicting future returns on the JSE and thereby creating an investment style, through the use of the style engine built by Muller and Ward (2013). The research results revealed that the influence of the weather on stock returns is weak at best and cannot be used as an investment style. Previous concerns, as raised by Kim (2017) regarding data mining in providing evidence of The Weather Effect has been confirmed by this study
Mini Dissertation (MBA)--University of Pretoria, 2017.
lt2018
Gordon Institute of Business Science (GIBS)
MBA
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Brown, P., and B. Russell. "1993 Weather Conditions." College of Agriculture, University of Arizona (Tucson, AZ), 1994. http://hdl.handle.net/10150/209587.

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Abnormally high January and February rainfall will certainly be the most remember meteorological feature of 1993. This rainfall led to extensive flooding along the Gila River and its tributaries, and delayed field preparation in many areas. However, once the winter rains ended, weather conditions proved very favorable for cotton production. Warm, dry spring weather helped get the cotton crop off to a good start. Moderate summer temperatures and a late monsoon provided excellent weather conditions for setting fruit. The relatively short monsoon period was followed by an extended period of mild, dry weather which provided excellent conditions for finishing the crop. The only blemish on the fall weather pattern was a period of heavy rainfall in mid - November which delayed field operations in much of central Arizona.
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Brown, P., B. Russell, and J. Silvertooth. "1994 Weather Conditions." College of Agriculture, University of Arizona (Tucson, AZ), 1995. http://hdl.handle.net/10150/210249.

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The 1994 cotton production season began with near optimal weather conditions. Temperatures and precipitation during planting and early vegetative growth were near optimal levels and were generally near normal. Summer brought an extended period of high day and night temperatures which began in June and continued through September at most locations. The period of high temperature associated with the monsoon (July and August) coincided with a rapid decline in fruit retention across much of the state. While the monsoon provided the usual rise in night temperature and humidity, summer rainfall was relatively light at most locations. Early fall weather was warm and dry, providing generally good conditions for finishing the crop. Weather conditions then cooled dramatically in the late fall prior to the onset of heavy rains in December. The wet December conditions limited post harvest field work in many locations.
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Books on the topic "Weather"

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Kalman, Maira. Weather, weather. New York: Harry N. Abrams, 2016.

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Mayes, J. C. Weather Watchers weather booklets. Laurieston, Scotland: Weather Watchers Network, 1989.

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Silverman, Buffy. Investigating weather: Weather systems. Chicago, Ill: Heinemann Library, 2008.

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United States Departmet of the Air Force. Surface weather observations: Weather. [Washington, D.C.?]: Secretary of the Air Force, 1996.

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Lafferty, Peter. Weather. New Jersey: Crescent Books, 1992.

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Battan, Louis J. Weather. 2nd ed. Englewood Cliffs, N.J: Prentice-Hall, 1985.

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Oxlade, Chris. Weather. Austin, Tex: Raintree Steck-Vaughn, 1999.

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Haslam, Andrew. Weather. London: Two-Can, 1997.

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Flagg, Ann. Weather. Huntington Beach, Calif: Teacher Created Materials, Inc., 1994.

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Lafferty, Peter. Weather. London: Grange Books Limited, 1992.

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Book chapters on the topic "Weather"

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Roth, Lawrence O., and Harry L. Field. "Weather." In An Introduction to Agricultural Engineering: A Problem-Solving Approach, 203–10. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-1425-7_16.

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Roth, Lawrence O., and Harry L. Field. "Weather." In Introduction to Agricultural Engineering, 203–10. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3594-2_16.

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Field, Harry L., and John M. Long. "Weather." In Introduction to Agricultural Engineering Technology, 255–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69679-9_16.

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Allen, David H. "Weather." In How Mechanics Shaped the Modern World, 243–65. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01701-3_10.

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Gooch, Jan W. "Weather." In Encyclopedic Dictionary of Polymers, 806. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_12747.

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Loxley, Peter. "Weather." In Big Ideas in Primary Science, 15–34. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003166276-3.

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Lee-Smith, Angela, Jongoh Eun, and Susan Strauss. "Weather." In Beginning Korean, 214–34. London: Routledge, 2024. http://dx.doi.org/10.4324/9781032687056-15.

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Allen, David H. "Weather." In How Mechanics Shaped the Modern World, 237–59. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27749-8_10.

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Mauro, Alessandro. "Weather Risk and Weather Derivatives." In Handbook of Multi-Commodity Markets and Products, 255–77. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119011590.ch6.

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Bacmeister, Julio T. "Weather Prediction Models weather prediction model." In Encyclopedia of Sustainability Science and Technology, 12062–79. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_362.

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Conference papers on the topic "Weather"

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Kaplan, P. "Computer Simulation/Prediction of Ship Motions and Loads In A Seaway." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.4.

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Dallinga, R. P., and G. J. Feikema. "Wave Models In Ship Design." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.17.

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Huang, Z. J., T. W. Edwards, G. Lacy, C. C. Hsiung, A. Milne, and S. Grochowalski. "Safety Analysis of Nearshore, Open-Decked Fishing Vessels In Nova Scotia." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.8.

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Hogben, N. "The Changing Relation Between Wave Heights and Wind Speeds Over The North Atlantic." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.13.

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Boyd, J., K. Klaka, and G. Thomas. "Analysis of Non-Linear Vessel Motions: Experiments and Predictions." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.3.

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Hearn, G. E., P. N. H. Wright, and Bill Hills. "Seakeeping For Design: Development and Applicaion of An Inverse Analysis Design Methodology To Multihull Forms." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.9.

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Brown, D. K. "Weather and Warships; Past, Present and Future." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.18.

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Aanesland, V., and C. T. Stansberg. "Seakeeping Tests With Free Running Models In A Wave Basin." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.11.

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Colwell, J., I. Datta, and R. Rogers. "Head Seas Slamming Tests On A Fast Surface Ship Hull Form Series." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.6.

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Evans, J., R. Motte, and S. Calvert. "The Practical Application of Onboard Weather Routeing." In Seakeeping and Weather. RINA, 1995. http://dx.doi.org/10.3940/rina.seak.1995.14.

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Reports on the topic "Weather"

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Campbell, Sean, and Francis Diebold. Weather Forecasting for Weather Derivatives. Cambridge, MA: National Bureau of Economic Research, December 2003. http://dx.doi.org/10.3386/w10141.

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Bruggeman, David Alan. Weather at LANL. Office of Scientific and Technical Information (OSTI), April 2016. http://dx.doi.org/10.2172/1248120.

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Henney, Carl J., Richard Radick, Donald C. Norquist, Stephen Kahler, Edward Cliver, Richard Altrock, C. N. Arge, Karatholuvu S. Balasubramaniam, and Stephen M. White. Space Weather Prediction. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada612376.

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Quintana, Vicente. DARHT Weather Enclosure. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1632676.

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Coble, Barry B. Benign Weather Modification,. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada325418.

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Decker, Dwight T., and Patricia H. Doherty. Global Ionospheric Weather. Fort Belvoir, VA: Defense Technical Information Center, February 1995. http://dx.doi.org/10.21236/ada302347.

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Tag, Paul M. Weather on Target. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada629036.

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Tag, Paul M. Weather on Target. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada629037.

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Owen, Hank. Spy Weather Experiment. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada634006.

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Coble, Barry E. Benign Weather Modification. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada387739.

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