Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions write by U.C. Mohanty. This book was released on 2016-11-21. Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions available in PDF, EPUB and Kindle. This book deals primarily with monitoring, prediction and understanding of Tropical Cyclones (TCs). It was envisioned to serve as a teaching and reference resource at universities and academic institutions for researchers and post-graduate students. It has been designed to provide a broad outlook on recent advances in observations, assimilation and modeling of TCs with detailed and advanced information on genesis, intensification, movement and storm surge prediction. Specifically, it focuses on (i) state-of-the-art observations for advancing TC research, (ii) advances in numerical weather prediction for TCs, (iii) advanced assimilation and vortex initialization techniques, (iv) ocean coupling, (v) current capabilities to predict TCs, and (vi) advanced research in physical and dynamical processes in TCs. The chapters in the book are authored by leading international experts from academic, research and operational environments. The book is also expected to stimulate critical thinking for cyclone forecasters and researchers, managers, policy makers, and graduate and post-graduate students to carry out future research in the field of TCs.
Ensemble and Hybrid Four-dimensional Data Assimilation for Tropical Cyclone Analysis and Prediction
Ensemble and Hybrid Four-dimensional Data Assimilation for Tropical Cyclone Analysis and Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ensemble and Hybrid Four-dimensional Data Assimilation for Tropical Cyclone Analysis and Prediction write by Jonathan Poterjoy. This book was released on 2014. Ensemble and Hybrid Four-dimensional Data Assimilation for Tropical Cyclone Analysis and Prediction available in PDF, EPUB and Kindle. Numerical models and observations contain critical information regarding the earth-atmosphere system: they present a means of quantifying the system dynamics and provide evidence of the true system state, respectively. These two sources of information, however, are more valuable when combined into a single, dynamically consistent dataset. The objective of data assimilation in geosciences is to find an estimate of the model state that is statistically optimal, given all information known about the system, while preserving physical balances in the system dynamics. Another objective is to quantify the uncertainty in the resulting state estimate, which can be used for designing future observing networks, examining predictability limits, and initializing probabilistic model forecasts.This dissertation provides an introduction to atmospheric data assimilation in the context of tropical cyclone modeling efforts at Penn State University using the Weather Research and Forecasting (WRF) model. The first chapter focuses on the role of forecast error covariance, and the necessity of using flow-dependent statistics from ensembles to initialize tropical cyclones with consistent inner-core structure. Chapter two presents an investigation on sampling errors in ensemble data assimilation systems, and discusses some of the major challenges for applying the Ensemble Kalman filter (EnKF) for mesoscale applications. An EnKF is applied in chapter three to explore the predictability and genesis of Hurricane Karl (2010), and study the impact of field observations in forecasting its track and intensity. The Hurricane Karl case study is revisited in chapter four to examine the impact of applying four-dimensional variational (4DVar) and hybrid ensemble-4DVar (E4DVar) data assimilation methods for analyzing and forecasting genesis. The last chapter provides a more theoretical perspective on hybrid four-dimensional data assimilation. It compares the E4DVar approach used for the WRF model in chapter 4, with an alternative method that is being considered for operational use at several national forecast centers. This comparison is performed using a low-dimensional dynamical system to investigate several aspects of these methods in detail.
Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change
Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change write by U.C. Mohanty. This book was released on 2013-10-12. Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change available in PDF, EPUB and Kindle. This book deals with recent advances in our understanding and prediction of tropical cyclogenesis, intensification and movement as well as landfall processes like heavy rainfall, gale wind and storm surge based on the latest observational and numerical weather prediction (NWP) modeling platforms. It also includes tropical cyclone (TC) management issues like early warning systems, recent high impact TC events, disaster preparedness, assessment of risk and vulnerability including construction, archiving and retrieval of the best tracking and historical data sets, policy decision etc., in view of recent findings on climate change aspects and their impact on TC activity. The chapters are authored by leading experts, both from research and operational environments. This book is relevant to cyclone forecasters and researchers, managers, policy makers, graduate and undergraduate students. It intends to stimulate thinking and hence further research in the field of TCs and climate change, especially over the Indian Ocean region and provides high-quality reference materials for all the users mentioned above for the management of TCs over this region.
Advances in Dynamical Predictions and Modelling of Tropical Cyclone Motion
Advances in Dynamical Predictions and Modelling of Tropical Cyclone Motion - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Dynamical Predictions and Modelling of Tropical Cyclone Motion write by Russell L. Elsberry. This book was released on 1993. Advances in Dynamical Predictions and Modelling of Tropical Cyclone Motion available in PDF, EPUB and Kindle. Recent advances in the use of numerical models for dynamical track predictions and modelling of tropical cyclone motion are reviewed. New applications of barotropic models for operational track predictions are described first. Barotropic models continue to be used by researchers to illustrate the importance of the symmetric and asymmetric components of the initial vortex in the model. New numerical techniques such as adaptive grids are shown to be well suited to the tropical cyclone prediction problem. New data assimilation techniques are first being tested with barotropic models in an effort to improve the initial conditions for track predictions. Selected baroclinic models on limited regions are described in terms of numerical characteristics, representations of physical processes and specifications of the initial conditions. Improvements in these operational limited-region models have yielded more accurate track predictions, and the future goals are to predict the tropical cyclone-related precipitation and the trends in the intensity as well. Recent results from research versions of limited-region baroclinic models appear to promise future improvements in all three aspects, and especially in the specifications of the initial conditions.
Neural Information Processing
Neural Information Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural Information Processing write by Long Cheng. This book was released on 2018-12-03. Neural Information Processing available in PDF, EPUB and Kindle. The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11301, is organized in topical sections on deep neural networks, convolutional neural networks, recurrent neural networks, and spiking neural networks.
