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91位
¥2,794円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞Monday, June 5, had long been planned for launching D-day, the start of the campaign to liberate Nazi-held Western Europe. Yet the fine weather leading up to the greatest invasion the world would ever see was deteriorating rapidly. Would it hold long enough for the bombers, the massed armada, and the soldiers to secure beachheads in Normandy? That was the question, and it was up to Ike’s chief meteorologist, James Martin Stagg, to give him the answer.＜/p＞ ＜p＞On the night of June 4, the weather hung on a knife’s edge. The three weather bureaus advising Staggーthe US Army Air Force, the Royal Navy, and the British Met Officeーeach provided differing forecasts. Worse, leading meteorologists in the USAAF and Met Office argued stormily. Stagg had only one chance to get it right. Were he wrong, thousands of men would perish, secrecy about when and where the Allies would land would be lost, victory in Europe would be delayed for a year, and the Communists might well take control of the continent.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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92位
¥1,668円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞In this project, we embarked on a journey of exploring time-series weather data and performing forecasting and prediction using Python. The objective was to gain insights into the dataset, visualize feature distributions, analyze year-wise and month-wise patterns, apply ARIMA regression to forecast temperature, and utilize machine learning models to predict weather conditions. Let's delve into each step of the process.＜/p＞ ＜p＞To begin, we started by exploring the dataset, which contained historical weather data. We examined the structure and content of the dataset to understand its variables, such as temperature, humidity, wind speed, and weather conditions. Understanding the dataset is crucial for effective analysis and modeling.＜/p＞ ＜p＞Next, we visualized the distributions of different features. By creating histograms, box plots, and density plots, we gained insights into the range, central tendency, and variability of the variables. These visualizations allowed us to identify any outliers, skewed distributions, or patterns within the data.＜/p＞ ＜p＞Moving on, we explored the dataset's temporal aspects by analyzing year-wise and month-wise distributions. This involved aggregating the data based on years and months and visualizing the trends over time. By examining these patterns, we could observe any long-term or seasonal variations in the weather variables.＜/p＞ ＜p＞After gaining a comprehensive understanding of the dataset, we proceeded to apply ARIMA regression for temperature forecasting. ARIMA (Autoregressive Integrated Moving Average) is a powerful technique for time-series analysis. By fitting an ARIMA model to the temperature data, we were able to make predictions and assess the model's accuracy in capturing the underlying patterns.＜/p＞ ＜p＞In addition to temperature forecasting, we aimed to predict weather conditions using machine learning models. We employed various classification algorithms such as Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Adaboost, Gradient Boosting, Extreme Gradient Boosting (XGBoost), Light Gradient Boosting (LGBM), and Multi-Layer Perceptron (MLP). These models were trained on the historical weather data, with weather conditions as the target variable.＜/p＞ ＜p＞To evaluate the performance of the machine learning models, we utilized several metrics: accuracy, precision, recall, and F1 score. Accuracy measures the overall correctness of the predictions, while precision quantifies the proportion of true positive predictions out of all positive predictions. Recall, also known as sensitivity, measures the ability to identify true positives, and F1 score combines precision and recall into a single metric.＜/p＞ ＜p＞Throughout the process, we emphasized the importance of data preprocessing, including handling missing values, scaling features, and splitting the dataset into training and testing sets. Preprocessing ensures the data is in a suitable format for analysis and modeling, and it helps prevent biases or inconsistencies in the results.＜/p＞ ＜p＞By following this step-by-step approach, we were able to gain insights into the dataset, visualize feature distributions, analyze temporal patterns, forecast temperature using ARIMA regression, and predict weather conditions using machine learning models. The evaluation metrics provided a comprehensive assessment of the models' performance in capturing the weather conditions accurately.＜/p＞ ＜p＞In conclusion, this project demonstrated the power of Python in time-series weather forecasting and prediction. Through data exploration, visualization, regression analysis, and machine learning modeling, we obtained valuable insights and accurate predictions regarding temperature and weather conditions. This knowledge can be applied in various domains such as agriculture, transportation, and urban planning, enabling better decision-making based on weather forecasts.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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93位
¥1,057円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞Uncover the mysteries of space weather and solar activity, and learn about the practical consequences on human activity from astronaut safety to power grid blackouts with this authoritative compilation of up-to-date official documents. The sixteen parts of this massive, thousand-page compilation report on every aspect of the vital role of the sun and space weather. Contents include:＜/p＞ ＜p＞Part 1: Overview * Part 2: Solar Basics * Part 3: The Sun, the Earth, and Near-Earth Space: A Guide to the Sun-Earth System * Part 4: Solar Storms and You! Exploring the Human Impacts of Solar Activity * Part 5: Workshop Report on Space Weather Risks and Society * Part 6: Deep Space Climate Observatory (DSCOVR) Mission Briefing * Part 7: National Space Weather Program Strategic Plan * Part 8: Report on Space Weather Observing Systems: Current Capabilities and Requirements for the Next Decade * Part 9: Halloween Space Weather Storms of 2003 * Part 10: Intense Space Weather Storms October 19 - November 07, 2003 Service Assessment * Part 11: In The Dark - Military Planning for a Catastrophic Critical Infrastructure Event * Part 12: 2010 Space Weather Enterprise Forum (SWEF) * Part 13: 2011 Space Weather Enterprise Forum (SWEF) * Part 14: 2012 Space Weather Enterprise Forum (SWEF) * Part 15: 2013 Space Weather Enterprise Forum (SWEF) * Part 16: 2013 Space Weather Workshop＜/p＞ ＜p＞This compilation includes the book, The Sun, the Earth, and Near-Earth Space: A Guide to the Sun-Earth System. a beautifully written work by one of America's top solar experts providing an easy-to-read yet thorough guide to our Sun and its impact on planet Earth. An excerpt: "In a world of warmth and light and living things we soon forget that we are surrounded by a vast universe that is cold and dark and deadly dangerous, just beyond our door. On a starry night, when we look out into the darkness that lies around us, the view can be misleading in yet another way: for the brightness and sheer number of stars, and their chance groupings into familiar constellations, make them seem much nearer to each other, and to us, that in truth they are. And every one of them--each twinkling, like a diamond in the sky--is a white-hot sun, much like our own. The nearest stars in our own galaxy--the Milky Way-- are more than a million times further away from us than our star, the Sun."＜/p＞ ＜p＞Contents: Our Dependence on Sun * Sun's Inconstancy * Voyages of Discovery in an Age of Exploration * Sun as a Star * Perpetual Combustion * How Constant Is and Was Sun? * Metered Sunshine * First Who Saw Face of Sun * Photosphere * Sunspots * Sun's Chromosphere and Corona * SOLAR WIND & SOLAR VARIABILITY * Explosive Solar Flares * Solar Prominences and Filaments * Coronal Mass Ejections * NEAR-EARTH ENVIRONMENT * A Protected Planet * Air Above Us * Changes on Way to Top * Troposphere * Stratosphere * Mesosphere and Thermosphere * Ionized Upper Atmosphere * End of Atmosphere * Into Magnetosphere * Form and Function of Magnetosphere * Paths that Particles Follow * Captive Particles in Magnetosphere * Earth's Radiation Belts * Plasmasphere * Heliosphere * Cruising Heliosphere * FLUCTUATIONS IN SOLAR RADIATION AT EARTH * Changes in Total Solar Irradiance * Variability in Different Parts of Spectrum * Effects of Sun's Rotation * Effects of Earth's Orbit * VARIATION IN FLOW OF PARTICLES AT EARTH * Nature of Arriving Particles * Solar Sources * Particles Borne Outward in CMEs * Particles from Solar Flare * Solar Wind Plasma * Characteristics of Slow Solar Wind Streams * High-Speed Solar Wind Streams * Sectors in Sun's Extended Magnetic Field * Pushing and Shoving on Way to Earth * When Solar Particles Strike Earth * Through Guarded Gates Magnetic Reconnection * Effects of Changes in Earth's Magnetic Field * Cosmic Rays＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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94位
¥4,620円
評価: 0
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アジア音楽ショップ亞洲音樂購物網
기상청 사람들 : 사내연애 잔혹사 편 OST - JTBC 토일드라마 [2CD] 構成: 2CD 音声: 韓国語 発売元: MOST CONTENTS 発売国: KOREA 発売日: 2022年4月13日 [商品案内] パク・ミニョン、ソン・ガン主演ドラマのサウンドトラック！ 眩しいケミストリーを見せてくれた4人の男女の社内恋愛と初めて見た気象庁の世界、その中で出会った気象庁職員の熱い使命感を描いたドラマ。本作にはドラマを彩った計9曲の歌唱曲と22曲のBGトラックが収められている。 アウトボックス、80ページのブックレット、2CD、ブックマーク、フォトカード6枚、ポストカード4枚付き。 [収録曲] CD1 01. Melting [CHEEZE(チーズ)] 02. 心注意報 [オンユ(ONEW)] 03. Promise You [キュヒョン (KYUHYUN)] 04. 大切なものができたみたいだ [ロシ(Rothy)] 05. 君が降る日に[ジョン・パク] 06. これだけ私はあなたを愛して [パンチ(Punch)] 07.もう少し痛くても [キム・ナヨン] 08. 異常気候 [GIRIBOY] 09. Open Your Heart [LYN] CD2 01.今日の天気をお知らせします 02.New Start 03.ハギョンとシウと 04.Slow Comic 05.私だけが恥ずかしい？ 06.しようかしまいか 07.真夏の昼 08.Current Weather 09.気象悪化 10.Love Quadrangle 11.緊急緊急 12.Cuddle 13.ねじれ 14.Argument 15.後の関係 16.季節の変わり目 17.Love Forecast 18.Dream 19.私たち二人で永遠に 20.とげ 21.雨の後の晴れ 22.明日の天気は
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95位
¥7,412円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞＜strong＞A detailed study of research on the psychology of expertise in weather forecasting, drawing on findings in cognitive science, meteorology, and computer science.＜/strong＞＜/p＞ ＜p＞This book argues that the human cognition system is the least understood, yet probably most important, component of forecasting accuracy. ＜em＞Minding the Weather＜/em＞ investigates how people acquire massive and highly organized knowledge and develop the reasoning skills and strategies that enable them to achieve the highest levels of performance.＜/p＞ ＜p＞The authors consider such topics as the forecasting workplace; atmospheric scientists' descriptions of their reasoning strategies; the nature of expertise; forecaster knowledge, perceptual skills, and reasoning; and expert systems designed to imitate forecaster reasoning. Drawing on research in cognitive science, meteorology, and computer science, the authors argue that forecasting involves an interdependence of humans and technologies. Human expertise will always be necessary.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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96位
¥9,511円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞Weather Analysis and Forecasting: Applying Satellite Water Vapor Imagery and Potential Vorticity Analysis, Second Edition, is a step-by-step essential training manual for forecasters in meteorological services worldwide, and a valuable text for graduate students in atmospheric physics and satellite meteorology. In this practical guide, P. Santurette, C.G. Georgiev, and K. Maynard show how to interpret water vapor patterns in terms of dynamical processes in the atmosphere and their relation to diagnostics available from numerical weather prediction models. In particular, they concentrate on the close relationship between satellite imagery and the potential vorticity fields in the upper troposphere and lower stratosphere. These applications are illustrated with color images based on real meteorological situations over mid-latitudes, subtropical and tropical areas. - Presents interpretation of the water vapor channels 6.2 and 7.3μm as well as advances based on satellite data to improve understanding of atmospheric thermodynamics - Improves by new schemes the understanding of upper-level dynamics, midlatitudes cyclogenesis and fronts over various geographical areas - Provides analysis of deep convective phenomena to better understand the development of strong thunderstorms and to improve forecasting of severe convective events - Includes efficient operational forecasting methods for interpretation of data from NWP models - Offers information on satellite water vapor images and potential vorticity fields to analyse and forecast convective phenomena and thunderstorms＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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97位
¥6,076円
評価: 0
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楽天Kobo電子書籍ストア
画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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98位
¥4,718円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞As director of the Cincinnati Observatory and, later, a civilian in the newly established forecast and storm warning division of the U.S. Army Signal Service, Cleveland Abbe was the first person to issue official, regularly scheduled weather forecasts, or “probabilities,” in the United States. Abbe began his work in forecasting in 1869, earning the nickname “Old Probabilities” and gaining recognition for the reliability of his reports. He would go on to become a leader of the US Weather Bureauーwhich we know today as the National Weather Service. In establishing a system for creating daily weather forecasts and more, this humble pioneer helped lay the foundation for modern meteorology in the United States.＜/p＞ ＜p＞Set against the backdrop of nineteenth and early twentieth-century international events and scientific advancements, this biography of Abbe explores both his personal life and his scientific career. It illuminates his time spent in Russia in the mid-1860sーas the Civil War was waged and a president was assassinated back homeーin part through letters with his mother. Decades of diaries and correspondence from the Cleveland Abbe Papers at the Library of Congress, as well as first-person accounts, illuminate this biography of a mild-mannered family man whose thirst for knowledge drove him to become a giant in an emerging scientific field.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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99位
¥1,584円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞More than six thousand souls perished in the September 8, 1900, hurricane that devastated the island town of Galveston, Texas. Men and women, rich and poor, black and white struggled alike in what was to that date the worst natural disaster in American history. Many more would have lost their lives, however, if it wasn't for the efforts of Dr. Issac Monroe Cline, section director at the Weather Bureau Headquarters. It was Cline who decided to raise the flags over the Weather Bureau, signaling an impending hurricane. He also spoke to large crowds of people in low-lying areas of the island, correctly predicting the unexpected force and direction of the storm.＜/p＞ ＜p＞This detailed autobiography, originally penned by Cline in 1945, chronicles his life and education before and after the deadly events at Galveston. It is a complete picture of him not just as a weather forecaster, but also as a small boy, a student, a survivor, and a meteorological scholar. It is supplemented with antique photographs and information from his textbook Characteristics of Tropical Cyclones.＜/p＞ ＜p＞More than one hundred years after the hurricane that would forever mark his career, Cline is still revered as a pioneer in his field. His work charting hurricanes, measuring their direction, speed, and precipitation, helped build the foundations for modern meteorology. Storms, Floods and Sunshine preserves the science and emotion behind the man the Associated Press called "the smiling, genial, climatological genius."＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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100位
¥2,548円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞＜strong＞The unprecedented inside story of the people pushing boundaries of science and technology to build better weather forecastsーproviding life-saving warnings and crucial intelligence about nature’s deadliest threats＜/strong＞＜/p＞ ＜p＞Killer tornadoes. Catastrophic hurricanes. Lethal heat waves. Across the United States and around the world, extreme weather events bring an unending torrent of death and destruction. One indispensable tool consistently offers the ability to help reduce the impact of these calamities: the weather forecast. For centuries, humans have sought to foretell nature’s next moves, from ancient farmers to trailblazers of the Space Age, who brought computers and satellites to bear on the problem. Now a new wave of advances, including artificial intelligence and data-gathering drones, makes it possible to accurately detect these fearsome events further in advance. They provide critical time to prepare and get people out of harm’s wayーan undertaking made ever more urgent by the effects of climate change.＜/p＞ ＜p＞In a remarkable tale of innovation and perseverance, veteran journalist Thomas E. Weber takes readers into the world of the pioneers creating these game-changing forecasts. From storm chasers racing to hunt twisters and physicists unraveling the secrets of the atmosphere, from scientists studying how people react to warnings to humanitarian groups rushing to avert famines, Weber goes behind the scenes to show how predictions keep getting better. He explains what’s needed to turn these forecasts into actions that prevent tragedies and how anyone can become more weather literate to protect themselves in emergencies. Cloud Warriors will change the way you think about treacherous weatherーand the power of being able to see it coming.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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