Download or read book Climate Analysis written by Chester F. Ropelewski and published by Cambridge University Press. This book was released on 2019-01-17 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains how climatologists have come to understand current climate variability and trends through analysis of observations, datasets and models.

Download or read book METEOROLOGICAL DATA ANALYSIS AND PREDICTION USING MACHINE LEARNING WITH PYTHON written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2023-07-31 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this meteorological data analysis and prediction project using machine learning with Python, we begin by conducting data exploration to understand the dataset's structure and contents. We load the dataset and check for any missing values or anomalies that may require preprocessing. To gain insights into the data, we visualize the distribution of each feature, examining histograms, box plots, and scatter plots. This helps us identify potential outliers and understand the relationships between different variables. After data exploration, we preprocess the dataset, handling missing values through imputation techniques or removing rows with missing data, ensuring the data is ready for machine learning algorithms. Next, we define the problem we want to solve, which is predicting the weather summary based on various meteorological parameters. The weather summary serves as our target variable, while the other features act as input variables. We split the data into training and testing sets to train the machine learning models on one subset and evaluate their performance on unseen data. For the prediction task, we start with simple machine learning models like Logistic Regression or Decision Trees. We fit these models to the training data and assess their accuracy on the test set. To improve model performance, we explore more complex algorithms, such as Logistic Regression, K-Nearest Neighbors, Support Vector, Decision Trees, Random Forests, Gradient Boosting, Extreme Gradient Boosting, Light Gradient Boosting, and Multi-Layer Perceptron (MLP). We use grid search to tune the hyperparameters of these models and find the best combination that optimizes their performance. During model evaluation, we use metrics such as accuracy, precision, recall, and F1-score to measure how well the models predict the weather summary. To ensure robustness and reliability of the results, we apply k-fold cross-validation, where the dataset is divided into k subsets, and each model is trained and evaluated k times. Throughout the project, we pay attention to potential issues like overfitting or underfitting, striving to strike a balance between model complexity and generalization. Visualizations play a crucial role in understanding the model's behavior and identifying areas for improvement. We create various plots, including learning curves and confusion matrices, to interpret the model's performance. In the prediction phase, we apply the trained models to the test dataset to predict the weather summary for each sample. We compare the predicted values with the actual values to assess the model's performance on unseen data. The entire project is well-documented, ensuring transparency and reproducibility. We record the methodologies, findings, and results to facilitate future reference or sharing with stakeholders. We analyze the predictive capabilities of the models and summarize their strengths and limitations. We discuss potential areas of improvement and future directions to enhance the model's accuracy and robustness. The main objective of this project is to accurately predict weather summaries based on meteorological data, while also gaining valuable insights into the underlying patterns and trends in the data. By leveraging machine learning algorithms, preprocessing techniques, hyperparameter tuning, and thorough evaluation, we aim to build reliable models that can assist in weather forecasting and analysis.

Download or read book Patterns Identification and Data Mining in Weather and Climate written by Abdelwaheb Hannachi and published by Springer Nature. This book was released on 2021-05-06 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.

Download or read book Statistical Analysis in Climate Research written by Hans von Storch and published by Cambridge University Press. This book was released on 2002-02-21 with total page 979 pages. Available in PDF, EPUB and Kindle. Book excerpt: Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography.

Download or read book Climate Data Records from Environmental Satellites written by National Research Council and published by National Academies Press. This book was released on 2004-08-26 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: The report outlines key elements to consider in designing a program to create climate-quality data from satellites. It examines historical attempts to create climate data records, provides advice on steps for generating, re-analyzing, and storing satellite climate data, and discusses the importance of partnering between agencies, academia, and industry. NOAA will use this report-the first in a two-part study-to draft an implementation plan for climate data records.

Download or read book Observing Weather and Climate from the Ground Up written by National Research Council and published by National Academies Press. This book was released on 2009-01-06 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed weather observations on local and regional levels are essential to a range of needs from forecasting tornadoes to making decisions that affect energy security, public health and safety, transportation, agriculture and all of our economic interests. As technological capabilities have become increasingly affordable, businesses, state and local governments, and individual weather enthusiasts have set up observing systems throughout the United States. However, because there is no national network tying many of these systems together, data collection methods are inconsistent and public accessibility is limited. This book identifies short-term and long-term goals for federal government sponsors and other public and private partners in establishing a coordinated nationwide "network of networks" of weather and climate observations.

Download or read book Annual Report of the University of Wyoming Agricultural Experiment Station written by University of Wyoming. Agricultural Experiment Station and published by . This book was released on 1911 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Annual Report of the Agriculture Department written by Wyoming. Dept. of Agriculture and published by . This book was released on 1913 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Economic Entomology written by and published by . This book was released on 1914 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Bulletin written by and published by . This book was released on 1912 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Annual Reports of the Agricultural College of the University of Wyoming and of the Wyoming Agricultural Experiment Station written by Wyoming Agricultural Experiment Station and published by . This book was released on 1911 with total page 846 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Annual Data Summary for CERC Field Research Facility written by and published by . This book was released on 1986 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Inventory Use and Availability of National Research Project Meteorological Data Gathered by Aircraft written by Harry Frank Hawkins and published by . This book was released on 1962 with total page 1170 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Future Climate Scenarios Regional Climate Modelling and Data Analysis written by Xander Wang and published by Frontiers Media SA. This book was released on 2022-03-11 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Summary of Meteorological Data in Australia written by Norman Hall and published by . This book was released on 1981 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Two Long term Instrumental Climatic Data Bases of the People s Republic of China written by and published by . This book was released on 1991 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Meteorological Measurements and Instrumentation written by Giles Harrison and published by John Wiley & Sons. This book was released on 2015-01-20 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the fundamental scientific principles underlying high quality instrumentation used for environmental measurements. It discusses a wide range of in situ sensors employed in practical environmental monitoring and, in particular, those used in surface based measurement systems. It also considers the use of weather balloons to provide a wealth of upper atmosphere data. To illustrate the technologies in use it includes many examples of real atmospheric measurements in typical and unusual circumstances, with a discussion of the electronic signal conditioning, data acquisition considerations and data processing principles necessary for reliable measurements. This also allows the long history of atmospheric measurements to be placed in the context of the requirements of modern climate science, by building the physical science appreciation of the instrumental record and looking forward to new and emerging sensor and recording technologies.