Deep Learning for Hydrometeorology and Environmental Science, Lee Taesam, Singh Vijay P., Cho Kyung Hwa

Автор: Collier
Название: Hydrometeorology
ISBN: 1118414985 ISBN-13(EAN): 9781118414989
Издательство: Wiley
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Цена: 18525.00 р.
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Описание: Hydrometeorology presents an introduction to relevant topics in the interdisciplinary fields of hydrology and meteorology. This book is one of the few books aiming to provide a balance between aspects of meteorological and hydrological processes.

Автор: Kevin Sene
Название: Hydrometeorology
ISBN: 3319794965 ISBN-13(EAN): 9783319794969
Издательство: Springer
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Цена: 13974.00 р.
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Автор: Lee Taesam, Singh Vijay P., Cho Kyung Hwa
Название: Deep Learning for Hydrometeorology and Environmental Science
ISBN: 3030647765 ISBN-13(EAN): 9783030647766
Издательство: Springer
Цена: 16769.00 р.
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Описание: This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g.

Автор: Mamdouh Shahin
Название: Water Resources and Hydrometeorology of the Arab Region
ISBN: 9401781427 ISBN-13(EAN): 9789401781428
Издательство: Springer
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Цена: 32004.00 р.
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Описание: This book gives a unique portrait of the water resources in the Arab region dealing with climate and hydrology. It provides a historical introduction, physiographic features and geological settings of the region and its climate. The book deals with storage of water and impacts of water scarcity on the region`s future.

Автор: Christopher G. Collier
Название: Hydrometeorology
ISBN: 1118414977 ISBN-13(EAN): 9781118414972
Издательство: Wiley
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Цена: 8229.00 р.
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Описание: Hydrometeorology presents an introduction to relevant topics in the interdisciplinary fields of hydrology and meteorology. This book is one of the few books aiming to provide a balance between aspects of meteorological and hydrological processes.

Автор: Kevin Sene
Название: Hydrometeorology
ISBN: 9400790686 ISBN-13(EAN): 9789400790681
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book describes recent developments in hydrometeorological forecasting techniques for a range of timescales, from short term to seasonal and longer terms. It conveniently brings together both meteorological and hydrological aspects in a single volume.

Автор: Pralhad Jaybhaye
Название: Hydrometeorology
ISBN: 177469137X ISBN-13(EAN): 9781774691373
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
Наличие на складе: Нет в наличии.

Описание: The appearance of climate change in the form of extreme weather conditions is not a new challenge to the world. Water has been always an important need in any sector of human activity. In recent years the importance has increased especially in arid and / or semi-arid regions where water resources have become increasingly scarce. Though the importance is very much pertinent in drylands, the opinion of most of the researchers is that the irrigated regions of the country behold the relevance as world food production from irrigated agriculture represents more than 40 % of the total. This book illustrates natural water cycle (i.e. hydrological cycle), recent advances in hydrometeorological predictions, with an emphasis on modern forecasting techniques and meteorological observations. The topic of hydrometeorology includes a broad range of areas, such as weather radar, satellite and other monitoring techniques, flow routing, hydraulic models, rainfall-runoff, and Mathematical Weather Predictions. Primary applications of hydrometeorology include drought forecasting, flood forecasting, reservoir management, climate change assessment, water quality and water resources studies. Therefore, this book is intended for development students, researchers, policymakers, progressive farmers, and media peoples interested in water management and hydrometeorology under change in climate.

Автор: Qingyun Duan; Florian Pappenberger; Andy Wood; Han
Название: Handbook of Hydrometeorological Ensemble Forecasting
ISBN: 3642399258 ISBN-13(EAN): 9783642399251
Издательство: Springer
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Цена: 97827.00 р.
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Описание: Hydrometeorological prediction involves the forecasting of the state and variation of hydrometeorological elements -- including precipitation, temperature, humidity, soil moisture, river discharge, groundwater, etc.-- at different space and time scales. Such forecasts form an important scientific basis for informing public of natural hazards such as cyclones, heat waves, frosts, droughts and floods. Traditionally, and at most currently operational centers, hydrometeorological forecasts are deterministic, “single-valued” outlooks: i.e., the weather and hydrological models provide a single best guess of the magnitude and timing of the impending events. These forecasts suffer the obvious drawback of lacking uncertainty information that would help decision-makers assess the risks of forecast use. Recently, hydrometeorological ensemble forecast approaches have begun to be developed and used by operational hydrometeorological services. In contrast to deterministic forecasts, ensemble forecasts are a multiple forecasts of the same events. The ensemble forecasts are generated by perturbing uncertain factors such as model forcings, initial conditions, and/or model physics. Ensemble techniques are attractive because they not only offer an estimate of the most probable future state of the hydrometeorological system, but also quantify the predictive uncertainty of a catastrophic hydrometeorological event occurring. The Hydrological Ensemble Prediction Experiment (HEPEX), initiated in 2004, has signaled a new era of collaboration toward the development of hydrometeorological ensemble forecasts. By bringing meteorologists, hydrologists and hydrometeorological forecast users together, HEPEX aims to improve operational hydrometeorological forecast approaches to a standard that can be used with confidence by emergencies and water resources managers. HEPEX advocates a hydrometeorological ensemble prediction system (HEPS) framework that consists of several basic building blocks. These components include:(a) an approach (typically statistical) for addressing uncertainty in meteorological inputs and generating statistically consistent space/time meteorological inputs for hydrological applications; (b) a land data assimilation approach for leveraging observation to reduce uncertainties in the initial and boundary conditions of the hydrological system; (c) approaches that address uncertainty in model parameters (also called ‘calibration’); (d) a hydrologic model or other approach for converting meteorological inputs into hydrological outputs; and finally (e) approaches for characterizing hydrological model output uncertainty. Also integral to HEPS is a verification system that can be used to evaluate the performance of all of its components. HEPS frameworks are being increasingly adopted by operational hydrometeorological agencies around the world to support risk management related to flash flooding, river and coastal flooding, drought, and water management. Real benefits of ensemble forecasts have been demonstrated in water emergence management decision making, optimization of reservoir operation, and other applications.