ABSTRACT: This study examines aerosol classifications which impact the Earth�atmosphere system by estimating and analyzing aerosol species based on aerosol properties obtained from seven Aerosol Robotic Network (AERONET) stations in India: Kanpur (KP), Jaipur (JP), Gandhi College (GC), Pune (PN), IIT Delhi (IIT), Amity University Gurgaon (AUG), and Gual Pahari (GP) with different terrain and …
ABSTRACT: Bias correction (BC) is commonly used to refine dynamical climate model results for use in applied research. However, uncertainties linked to the BC of multivariate meteorological indices, crucial for many applied research applications, are often underappreciated. Focusing on daily maximum values of the multivariate heat index (HI, a function of temperature and relative humidity), thi…
ABSTRACT: Gust factors are widely used in engineering applications to adjust wind data to standard siting and roughness conditions. Multiyear average gust factors have been typically applied in the applications. Using 1-min Automated Surface Observing System (ASOS) data from over 500 stations in the contiguous United States, the gust factor record is assessed for significant discontinuities usi…
ABSTRACT: A gridded wet-bulb globe temperature (WBGT) climatology for the southeastern United States is presented, emphasizing athlete and worker safety thresholds. Hourly WBGT estimates are derived from the land component of the fifth generation European Centre for Medium-Range Weather Forecasts atmospheric reanalysis (ERA5-Land) and validated using U.S. Climate Reference Network estimates fro…
Analisis Data & Machine Learning untuk Pemula ini hadir sebagai panduan lengkap bagi siapa saja yang ingin memahami dasar-dasar analisis data dan kecerdasan buatan. Dengan pendekatan yang sistematis dan mudah dipahami, pembaca akan diperkenalkan pada konsep-konsep fundamental seperti eksplorasi data, pra-pemrosesan, dan pemilihan algoritma yang tepat untuk berbagai jenis permasalahan. Tidak han…
This book provides a comprehensive and accessible introduction to probability theory, statistical methods, and practical data analysis using the R programming language. It begins by establishing the foundations of probability, including random variables, probability distributions, expectations, and key theoretical principles essential for understanding statistical inference. Building on these c…
Statistical Decision: Part I offers an in-depth exploration of how statistical techniques are applied in decision-making. The book covers essential statistical methods, including probability theory, hypothesis testing, regression analysis, and decision theory, emphasizing their practical use in addressing uncertainty. The author demonstrates how these statistical tools can inform decisions by p…
Elements of Probability and Statistics by Frank L. Wolf offers an in-depth introduction to the core principles of probability and statistics. The book explores a variety of topics, including probability theory, statistical inference, hypothesis testing, and regression analysis. It presents both the theoretical foundations and practical applications of these concepts in a straightforward and acc…
The "Statistics for Engineering and the Sciences: Student Solutions Manual" by William M. Mendenhall, Terry L. Sincich, and Nancy S. Boudreau is a comprehensive guide designed to complement the main textbook, offering detailed solutions to problems commonly encountered in statistics courses for engineering and the sciences. This manual provides step-by-step explanations and solutions for exerci…
The book presents the application of statistical methods to climatological data on temperature and precipitation. It provides specific techniques for treating series of yearly, monthly and daily records. The results’ potential relevance in the climate context is discussed.The methodical tools are taken from time series analysis, from periodogram and wavelet analysis, from correlation and prin…