ISBN: 9783031518614 - climate risk management in agriculture: monthly and seasonal forecast application (9 risultati)

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Hardcover. Condizione: new. Hardcover. Sustainable agricultural production is vital for food security and agricultural productivity. It is greatly influenced by weather and climate conditions. This book focuses on understanding weather and climate systems and crop yield productions, including integrated weather-crop prediction systems for climate risk management in agriculture. It examines the impact of climate change and its variability on different crops, and possible ways to minimize the loss for farmers. This book also describes different weather and climate hazards, including the fundamentals of weather/climate prediction systems and numerical weather prediction (NWP) models. It presents the need for seamless weather/climate predictions and their impact on agriculture. The status and availability of different monthly and seasonal scale forecasts worldwide is explored and how the forecasting models or products can be evaluated using statistical methods. The book concisely elucidates systematic model bias removal techniques and a reliable approach based on multi-statistics in producing a single forecast from the multi-model grand ensemble. Since crop models need daily weather sequence, several standard disaggregation methods for generating daily weather sequences from monthly/seasonal products are presented. This book describes several aspects that are needed for agricultural practices and crop modelling. It encapsulates different components of crop models and their application, preparation methods of Crop Weather Calendar, application of disaggregated weather sequence in crop models, and generation of Climate Risk Matrices (CRM). A detailed methodology is presented for hands-on practice, including downloading and processing data, model evaluation and bias corrections, generating a single forecast, disaggregation, and preparing CRM based on crop model products. This book contains a total 11 chapters and appeals to students, researchers, scientists, and operational agencies. It encapsulates different components of crop models and their application, preparation methods of Crop Weather Calendar, application of disaggregated weather sequence in crop models, and generation of Climate Risk Matrices (CRM). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Sustainable agricultural production is vital for food security and agricultural productivity. It is greatly influenced by weather and climate conditions. This book focuses on understanding weather and climate systems and crop yield productions, including integrated weather-crop prediction systems for climate risk management in agriculture. It examines the impact of climate change and its variability on different crops, and possible ways to minimize the loss for farmers. This book also describes different weather and climate hazards, including the fundamentals of weather/climate prediction systems and numerical weather prediction (NWP) models. It presents the need for seamless weather/climate predictions and their impact on agriculture. The status and availability of different monthly and seasonal scale forecasts worldwide is explored and how the forecasting models or products can be evaluated using statistical methods. The book concisely elucidates systematic model bias removal techniques and a reliable approach based on multi-statistics in producing a single forecast from the multi-model grand ensemble. Since crop models need daily weather sequence, several standard disaggregation methods for generating daily weather sequences from monthly/seasonal products are presented. This book describes several aspects that are needed for agricultural practices and crop modelling. It encapsulates different components of crop models and their application, preparation methods of Crop Weather Calendar, application of disaggregated weather sequence in crop models, and generation of Climate Risk Matrices (CRM). A detailed methodology is presented for hands-on practice, including downloading and processing data, model evaluation and bias corrections, generating a single forecast, disaggregation, and preparing CRM based on crop model products. This book contains a total 11 chapters and appeals to students, researchers, scientists, and operational agencies.…

Climate Risk Management in Agriculture: Monthly and Seasonal Forecast Application
Mohanty, U. C.; Sinha, Palash; Nageswara Rao, M. M.; Swain, Dillip Kumar; Singh, K. K.
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Condizione: New. 2024th edition NO-PA16APR2015-KAP.

Climate Risk Management in Agriculture: Monthly and Seasonal Forecast Application
Mohanty, U. C./ Sinha, P./ Nageswararao, M. M./ Swain, Dillip Kumar/ Singh, K. K.
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Hardcover. Condizione: Brand New. 383 pages. 9.26x6.11x9.49 inches. In Stock.

Lingua: Inglese
Editore: Springer, Berlin, Springer International Publishing, Capital Publishing Company, Springer, 2024
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sustainable agricultural production is vital for food security and agricultural productivity. It is greatly influenced by weather and climate conditions. This book focuses on understanding weather and climate systems and crop yield productions, including integrated weather-crop prediction systems for climate risk management in agriculture. It examines the impact of climate change and its variability on different crops, and possible ways to minimize the loss for farmers. This book also describes different weather and climate hazards, including the fundamentals of weather/climate prediction systems and numerical weather prediction (NWP) models. It presents the need for seamless weather/climate predictions and their impact on agriculture. The status and availability of different monthly and seasonal scale forecasts worldwide is explored and how the forecasting models or products can be evaluated using statistical methods. The book concisely elucidates systematic model bias removal techniques and a reliable approach based on multi-statistics in producing a single forecast from the multi-model grand ensemble. Since crop models need daily weather sequence, several standard disaggregation methods for generating daily weather sequences from monthly/seasonal products are presented. This book describes several aspects that are needed for agricultural practices and crop modelling. It encapsulates different components of crop models and their application, preparation methods of Crop Weather Calendar, application of disaggregated weather sequence in crop models, and generation of Climate Risk Matrices (CRM). A detailed methodology is presented for hands-on practice, including downloading and processing data, model evaluation and bias corrections, generating a single forecast, disaggregation, and preparing CRM based on crop model products. This book contains a total 11 chapters and appeals to students, researchers, scientists, and operational agencies. 356 pp. Englisch.…

Climate Risk Management in Agriculture
U. C. Mohanty|Palash Sinha|M. M. Nageswara Rao|Dillip Kumar Swain|K. K. Singh
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Present generation of monthly and seasonal forecast focused at met-subdivision levelProvides application of forecast in agriculture models for different crop simulationsGives an overview of climate risk management in agricultureS.…

Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland Jul 2024, 2024
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.

Climate Risk Management in Agriculture: Monthly and Seasonal Forecast Application
Mohanty, U. C.; Sinha, Palash; Nageswara Rao, M. M.; Swain, Dillip Kumar; Singh, K. K.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand.

Climate Risk Management in Agriculture: Monthly and Seasonal Forecast Application
Mohanty, U. C.; Sinha, Palash; Nageswara Rao, M. M.; Swain, Dillip Kumar; Singh, K. K.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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