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Statistical Downscaling of Climatic parameters

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Empirical-statistical Downscaling

Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic;

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Statistical Downscaling and Bias Correction for Climate Research

Statistical downscaling and bias correction are becoming standard tools in climate impact studies. This book provides a comprehensive;

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Climate Change Scenarios for Hyderabad

The paper evaluates the global climate projections of 17 AOGCMs with the aim to project 4 climatic variables under two dierent global;

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Statistical Downscaling for Hydrological and Environmental Applications

, statistical downscaling is typically employed. Statistical Downscaling for Hydrological and Environmental Applications presents statistical;

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Downscaling Techniques for High-Resolution Climate Projections

information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled;

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Water Tower of the Yellow River in a Changing Climate

-climatic changes, comparing three different statistical downscaling methods, assessing elevation dependency of expected changes in temperature, and;

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Water Tower of the Yellow River in a Changing Climate

-climatic changes, comparing three different statistical downscaling methods, assessing elevation dependency of expected changes in temperature, and;

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Rainfall Forecasting

include statistical downscaling for short term quantitative precipitation forecasting; empirical approaches in long-term rainfall forecasting; the;

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Statistical Physics

The book is divided into two parts. The first part looks at the modeling of statistical systems before moving on to an analysis of these;

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The Climatic Record in Polar Ice Sheets

; and the climatic record from ice cores. The results presented in this volume will be of particular interest to glaciologists and;

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Statistical Inference in Stochastic Processes

statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the;

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Lectures on Dynamics of Stochastic Systems

advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical;

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Methods of Measuring Environmental Parameters

of atmosphere and indoor air, soil, water * Provides a brief description of the main climatic (pressure, wind, temperature, humidity, precipitation;

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Information Technologies for Remote Monitoring of the Environment

remote sensing is focused on multipurpose observations from aircraft obtained in many soil-climatic zones in different countries and is reach;

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Statistical and Econometric Methods for Transportation Data Analysis

introduces an especially broad set of statistical methods ... As a lecturer in both transportation and marketing research, I find this book an;

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Temporal Climatology and Anomalous Weather Analysis

climatic events are directly associated with the anomaly component of atmospheric motion. We can use the anomaly-based synoptic chart and dynamical;

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Digital Mapping of Soil Landscape Parameters

interconnected links between soil-landscape parameters under a range of soil and climatic conditions. Lastly, the book sheds light on using the network;

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Digital Mapping of Soil Landscape Parameters

interconnected links between soil-landscape parameters under a range of soil and climatic conditions. Lastly, the book sheds light on using the network;

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Statistical Methods Of Geophysical Data Processing

This textbook contains a consideration of the wide field of problems connected with statistical methods of processing of observed data;

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Population Parameters

provide clear guidance on how to estimate parameters for models of animal populations. It is not a recipe book of statistical procedures. Instead;

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Bayesian Analysis for Population Ecology

Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can;

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Bayesian Analysis for Population Ecology

Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can;

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The Weibull Distribution

The Most Comprehensive Book on the Subject Chronicles the Development of the Weibull Distribution in Statistical Theory and Applied;

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Estimation, Inference and Specification Analysis

of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood;

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Dynamic Data-Driven Environmental Systems Science

quantification and statistical learning; methodologies for planning and control, sampling and adaptive observation, and efficient coupling of these;

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Supervised Machine Learning

of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML;

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