Wise On Weather

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Wise On Weather

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Author : Vicki Stracensky
language : en
Publisher:
Release Date : 2015-02-16

Wise On Weather written by Vicki Stracensky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-16 with categories.

"Wise on Weather!" is like getting three books in one:a poem, seasonal safety guide and definitions to 100 weather words - both educational and entertaining. This fun and informative book will hold children's interests for years to come, fostering great learning and enjoyable family time.

Time Series Weather Forecasting And Prediction With Python

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Author : Vivian Siahaan
language : en
Publisher: BALIGE PUBLISHING
Release Date : 2023-07-12

Time Series Weather Forecasting And Prediction With Python written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-12 with Computers categories.

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. 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. 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. 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. 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. 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. 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. 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. 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. 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.

Weather Wise

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Author : Alan Watts
language : en
Publisher: Sheridan House, Inc.
Release Date : 2008

Weather Wise written by Alan Watts and has been published by Sheridan House, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Nature categories.

Weather Wise gives you the tools to answer the questions we always ask about the weather. As well as giving us the ins and outs about seasons, cloud formation, rain, wind, hill and mountain weather, thunder, and the development of storms and hurricanes, this handy book will enable you to make your own predictions - what is coming, when it will arrive, and how severe it will be.

Bookwise

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Author : Sharon Parsons
language : en
Publisher: Nelson Thornes
Release Date : 2001

Bookwise written by Sharon Parsons and has been published by Nelson Thornes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Juvenile Nonfiction categories.

With a balance of fiction and non-fiction text types and genres, Bookwise is carefully graded and organised into five cross-curricular strands, encouraging links to other subjects. The full-colour readers are accompanied by Teacher's Guides and Resource Sheets to help you get the most out of your Guided Reading and Writing sessions.

Global Weather

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Author : Yves Earhart
language : en
Publisher: Publifye AS
Release Date : 2025-01-05

Global Weather written by Yves Earhart and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-05 with Science categories.

'Global Weather' presents a comprehensive exploration of Earth's atmospheric dynamics, expertly weaving together a century of meteorological data to understand how our weather systems have evolved. The book uniquely bridges historical weather patterns from the 1920s with contemporary conditions, offering readers a compelling perspective on the transformation of global climate over time. Through a careful analysis of temperature records, precipitation changes, and atmospheric pressure systems, it reveals how solar activity and human influences combine to shape our weather patterns. The book's three-part structure progressively builds readers' understanding, beginning with historical weather data from the early 1900s, then examining solar activity's crucial role in weather systems, and finally synthesizing this knowledge to explain current patterns and future projections. What sets this work apart is its interdisciplinary approach, combining insights from meteorology, physics, and oceanography to create a complete picture of atmospheric dynamics. Using data from international weather services and space agencies, the book presents complex concepts in accessible language while maintaining scientific rigor. Particularly valuable is the book's balanced treatment of natural and anthropogenic weather changes, supported by multiple lines of evidence from satellite observations and ground-based weather stations. While global in scope, it focuses on broad principles that help readers understand weather systems anywhere, making it an essential resource for environmental scientists, students, and anyone interested in understanding how our planet's weather patterns continue to evolve.

Eric Sloane S Weather Book

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Author : Eric Sloane
language : en
Publisher: Courier Corporation
Release Date : 2005-10-28

Eric Sloane S Weather Book written by Eric Sloane and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-28 with Nature categories.

"Amateur weather forecasters (which includes just about everyone) will find this volume an informative and entertaining account of the why and how of the weather." — The Nation In simple language, Eric Sloane explains the whys and wherefores of weather and weather forecasting — and does it in a style that's universally appealing. With humor and common sense shining through in a book that's also lively and informative, Sloane shows readers how to predict the weather by "reading" such natural phenomena as winds, skies, and animal sounds. This beautifully illustrated and practical treasure trove of climate lore will enlighten outdoorsmen, farmers, sailors, and anyone else who has ever wondered what a large halo around the moon means, why birds "sit it out" before a storm, and whether or not to take an umbrella when leaving the house.

The Weather

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Author : S. S. Bassler
language : en
Publisher:
Release Date : 1883

The Weather written by S. S. Bassler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1883 with Weather categories.

Monthly Weather Review

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Author :
language : en
Publisher:
Release Date : 1895

Monthly Weather Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1895 with Meteorology categories.

The Cooperative Weather Observer

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Author : United States. Weather Bureau
language : en
Publisher:
Release Date : 1966

The Cooperative Weather Observer written by United States. Weather Bureau and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with Meteorology categories.

E Governance Current Scenario

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Author : D. Kumar Dr. N. Panchanatham
language : en
Publisher: Archers & Elevators Publishing House
Release Date :

E Governance Current Scenario written by D. Kumar Dr. N. Panchanatham and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.