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1

Fine, Gary Alan. Authors of the storm: Meteorologists and the culture of prediction. Chicago, IL: University of Chicago Press, 2007.

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2

Talukder, Jyotirmoy. Living with cyclone: Study on storm surge prediction and disaster preparedness. Dhaka, Bangladesh: Community Development Library, 1992.

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3

Funakoshi, Yuji. Coupling a finite element storm surge model of the North Carolina sounds with operational ocean and weather prediction models. Silver Spring, Md.]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Office of Coast Survey, Coast Survey Development Laboratory, 2010.

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4

John D. Cox - undifferentiated. Storm watchers: The turbulent history of weather prediction from Franklin's kite to El Niño. New York: John Wiley, 2002.

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5

Yum, Sang Guk. Extreme Storm Surge Return Period Prediction Using Tidal Gauge Data and Estimation of Damage to Structures from Storm-Induced Wind Speed in South Korea. [New York, N.Y.?]: [publisher not identified], 2019.

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6

Guo, Lei. Semi-empirical prediction of pesticide loading in the Sacramento and San Joaquin Rivers during winter storm seasons. Sacramento: California Environmental Protection Agency, Dept. of Pesticide Regulation, Environmental Monitoring Branch, 2003.

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7

K, Prasad. Environmental and synoptic conditions associated with nor'westers and tornadoes in Bangladesh: An appraisal based on numerical weather prediction (NWP) guidance products. Dhaka: SAARC Meteorological Research Centre, 2006.

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8

P, Kauahikaua James, Tilling Robert I, and Geological Survey (U.S.), eds. The story of the Hawaiian Volcano Observatory: A remarkable first 100 years of tracking eruptions and earthquakes. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2011.

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9

Colin, Wilson. Serial killer investigations: The story of forensics and profiling through the hunt for the world's worst murderers. Irvington, NY: Hylas Pub., 2006.

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10

United States. Dept. of Agriculture., United States. Federal Emergency Management Agency., and United States. Dept. of Commerce., eds. Saving lives with an all-hazard warning network. [Washington, D.C.?]: U.S. Dept. of Agriculture, 1999.

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11

Murray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.

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12

Murray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.

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13

Murray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.

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14

United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Disaster Prevention and Prediction. Severe storms and reducing their impact on communities: Hearing before the Subcommittee on Disaster Prevention and Prediction of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Ninth Congress, first session, June 29, 2005. Washington: U.S. G.P.O., 2006.

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15

United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Disaster Prevention and Prediction. Severe storms and reducing their impact on communities: Hearing before the Subcommittee on Disaster Prevention and Prediction of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Ninth Congress, first session, June 29, 2005. Washington: U.S. G.P.O., 2006.

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16

Colin, Wilson. Serial killer investigations: The story of forensics and profiling through the hunt for the world's worst murderers. Irvington, NY: Hylas Pub., 2006.

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17

Fine, Gary Alan. Authors of the Storm: Meteorologists and the Culture of Prediction. University of Chicago Press, 2009.

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18

Authors of the storm: Meteorologists and the culture of prediction. Chicago, Ill: University of Chicago Press, 2010.

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19

Fine, Gary Alan. Authors of the Storm: Meteorologists and the Culture of Prediction. University of Chicago Press, 2013.

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20

Authors of the Storm: Meteorologists and the Culture of Prediction. University Of Chicago Press, 2007.

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21

Authors of the Storm: Meteorologists and the Culture of Prediction. ReadHowYouWant.com, Limited, 2011.

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22

Houston, William, and Robin Griffiths. Future Storm: The Dynamics Unlocking the Future. Harriman House Publishing, 2006.

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23

Griffiths, Robin. Future Storm: The Dynamics Unlocking the Future. Harriman House, 2006.

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24

Barrett, Eric. Storm: Using RS for Improved Monitoring and Prediction of Heavy Rainfall and Related Events (Remote Sensing Reviews Series). Taylor & Francis, 1996.

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25

D, Cox John. Storm Watchers: The Turbulent History of Weather Prediction from Franklin's Kite to el Niño. Wiley & Sons, Incorporated, John, 2007.

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26

Kumar, Prabhat. Hailstorms: Prediction, Control and Damage Assessment. Taylor & Francis Group, 2017.

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27

Predicting violent storms. New York: F. Watts, 1989.

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28

Violent Weather Predictions 20: Countdown to Cataclysm. Llewellyn Publications, 2000.

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29

Banks, Victoria P. Cyclonic and Geomagnetic Storms: Predicting Factors, Formation and Environmental Impacts. Nova Science Publishers, Incorporated, 2015.

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30

Bitten. Storm Cloud: A Weather Predicting Instrument. Chronicle Books, 2019.

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31

Ellis, Robert. Predicting Storms: The Adventure Begins. Goldener-Parnell Publishing, 2018.

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32

LOK, Johnny Ch. Artificial Intelligence Big Data Travelling Consumption: Prediction Story. Independently Published, 2019.

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33

Pickover, Clifford A. Dreaming the Future: The Fantastic Story of Prediction. Prometheus Books, 2001.

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34

LOK, Johnny Ch. Artificial Intelligence Big Data Travelling: Consumption Prediction Story. Independently Published, 2018.

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35

Siek, Michael. Predicting Storm Surges : Chaos, Computational Intelligence, Data Assimilation and Ensembles: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2011.

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36

Siek, Michael. Predicting Storm Surges : Chaos, Computational Intelligence, Data Assimilation and Ensembles: UNESCO-Ihe PhD Thesis. Taylor & Francis Group, 2013.

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37

Predicting Storm Surges : Chaos, Computational Intelligence, Data Assimilation and Ensembles: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2011.

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38

Winter storms: Hearing before the Subcommittee on Disaster Prevention and Prediction of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Ninth Congress, second session, March 1, 2006. Washington: U.S. G.P.O., 2006.

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39

Predictive Text: A St. Michael's Short Story. Independently Published, 2021.

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40

Siek, Michael. Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation, Ensembles. Taylor & Francis Group, 2011.

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41

Mulsow, Martin. The Bible as Secular Story. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198806837.003.0017.

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Hermann von der Hardt’s exegetical work is extremely idiosyncratic and controversial. Yet it is important for at least two reasons. First, his reading of the Bible evinces a thorough philological approach that served to corroborate his view of the complicated, encoded structures of biblical history. Secondly, von der Hardt refused to present the Book of Jonah as a prediction of Christ’s coming, as was usually done before him. Instead, he adopted a strictly historical interpretation that avoided delving into the mysteries of divine providence and explained the book as series of practical, moral, and political recommendations. His exegesis shows a predilection for a historical-critical interpretation that fits in the tradition associated with La Peyrère, Spinoza, and Simon. For von der Hardt, the moral implications of the text were of overriding importance.
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42

Willis, Timeka. Celebrity Predictions: Find Out What's in Store for Your Favorite Celebs. Independently Published, 2021.

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43

D, Gunnar Sevelius M. An Untold Medical Story, Coronary Blood Flow, Heart Attack Prediction, Prevention and Treatment. AuthorHouse, 2011.

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44

Siek, Michael. Predicting Storm Surges : Chaos, Computational Intelligence, Data Assimilation and Ensembles: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2017.

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45

Catch Me a Killer: Serial Murders: A Profiler's True Story. Penguin Global, 2003.

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46

Boon, J. D. Secrets of the Tide: Tide and Tidal Current Analysis and Predictions, Storm Surges and Sea Level Trends. Elsevier Science & Technology, 2013.

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47

The World We Made: Alex McKay's Story from 2050. PHAIDON PRESS, 2013.

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48

Medium-range weather prediction: The European approach ; the story of the European Centre for Medium-Range Weather Forecasts. New York: Springer, 2006.

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49

Butz, Martin V., and Esther F. Kutter. Retrospection and future perspectives. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0014.

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As the concluding chapter, the story of the book’s content is revisited and summarized. Essentially, our embodied minds come into being due to an evolutionary predisposed cognitive developmental process, which builds progressively more abstract, conceptual, compositional predictive encodings based on actively gathered sensorimotor experiences. The chapter also acknowledges several under-represented, but important topics in cognitive science. Finally, the matter of consciousness is addressed, emphasizing that the mind emerges from a recurrent, self-maintaining, and self-regulating system, that is, our brain–body system. Combined with developing self-referential, social, event-oriented, conceptualizing predictive encodings, self-reflective cognition becomes possible. We conclude that despite pursuing a computational approach to embodied cognitive science, cognitive models in this direction are just at their beginning. Future cognitive modeling efforts promise to shed much further light on the exact details about how our minds come into being and how we may create useful, artificial, cognitive systems in the future.
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50

Campbell, John, Joey Huston, and Frank Krauss. Data at the LHC. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199652747.003.0009.

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Cross sections have been measured over 14 orders of magnitude at the LHC, with good agreement in general with predictions from QCD and the Standard Model. The only grain of salt of this success story is that, up to now, no unambiguous signs of new physics has been spotted. The most visible discovery of the LHC (to date) has been that of the Higgs boson. In this book, the theoretical and experimental knowledge built up over the first 8 chapters is applied to physics at the LHC, and especially to measurements of the Higgs boson, and interpretations of its properties. Precision Standard Model measurements are used to search for, and constrain, the presence of new physics.
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