Sub-seasonal to Seasonal Prediction : The Gap Between Weather and Climate Forecasting
Book Details
Format
Paperback / Softback
ISBN-10
0443315388
ISBN-13
9780443315381
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 1st, 2025
Print length
600 Pages
Weight
450 grams
Product Classification:
Meteorology & climatology
Ksh 19,800.00
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Sub-seasonal to Seasonal Prediction provides the latest thinking from experts in the fields of sub-seasonal to seasonal (S2S) predictability science, numerical modeling, operational forecasting, and developing application sectors. This fully updated second edition comprehensively covers the sources of S2S predictability, S2S modeling, and forecasting using dynamical or machine learning methods, and S2S applications. There are brand new chapters on the role of the ocean in sub-seasonal predictability, machine learning in S2S prediction, co-produced S2S climate services in Africa, S2S for energy, and marine weather prediction on S2S timescales. This valuable resource offers atmospheric and climate scientists the very latest developments in this rapidly evolving field.
Sub-seasonal to Seasonal Prediction provides the latest thinking from experts in the fields of sub-seasonal to seasonal (S2S) predictability science, numerical modeling, operational forecasting, and developing application sectors. This fully updated second edition comprehensively covers the sources of S2S predictability, S2S modeling, and forecasting using dynamical or machine learning methods, and S2S applications. There are brand new chapters on the role of the ocean in sub-seasonal predictability, machine learning in S2S prediction, co-produced S2S climate services in Africa, S2S for energy, and marine weather prediction on S2S timescales. This valuable resource offers atmospheric and climate scientists the very latest developments in this rapidly evolving field.
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