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020 _a9783031518621
_9978-3-031-51862-1
024 7 _a10.1007/978-3-031-51862-1
_2doi
050 4 _aGE1-350
072 7 _aRN
_2bicssc
072 7 _aSCI026000
_2bisacsh
072 7 _aRN
_2thema
100 1 _aMohanty, U. C.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980380
245 1 0 _aClimate Risk Management in Agriculture
_h[electronic resource] :
_bMonthly and Seasonal Forecast Application /
_cby U. C. Mohanty, Palash Sinha, M. M. Nageswara Rao, Dillip Kumar Swain, K. K. Singh.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXXIX, 354 p. 87 illus., 69 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPanorama -- Climate Variability and Food Security -- Hierarchy of Agromet Forecast -- Weather and Climate Forecast -- Status of Monthly and Seasonal Forecast -- Generation of Regional Scale Monthly and Seasonal Forecast -- Disaggregation of Monthly and Seasonal Forecasts -- Crop Modelling and Simulation Concept -- Generation of Climate Risk Matrices -- Lessons from the Farmers on the Application of Weather Forecasts -- Hands-on Practice.
520 _aSustainable 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.
650 0 _aEnvironment.
_965893
650 0 _aAgriculture.
_968079
650 0 _aPhysical geography.
_966716
650 1 4 _aEnvironmental Sciences.
_961155
650 2 4 _aAgriculture.
_968079
650 2 4 _aEarth System Sciences.
_966717
650 2 4 _aEarth System Sciences.
_966717
700 1 _aSinha, Palash.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980381
700 1 _aNageswara Rao, M. M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980382
700 1 _aSwain, Dillip Kumar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980383
700 1 _aSingh, K. K.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980384
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031518614
776 0 8 _iPrinted edition:
_z9783031518638
856 4 0 _uhttps://doi.org/10.1007/978-3-031-51862-1
912 _aZDB-2-EES
912 _aZDB-2-SXEE
999 _c61514
_d61514