Results 31 to 40 of about 941,174 (293)
Assessing the Skills of a Seasonal Forecast of Chlorophyll in the Global Pelagic Oceans
Remote Sensing, 2021 While forecasts of atmospheric variables, and to a lesser degree ocean circulation, are relatively common, the forecast of biogeochemical conditions is still in its infancy.
Cecile S. Rousseaux +2 more
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Model evaluation for seasonal forecasting over southern Africa [PDF]
, 2011 Includes bibliographical references.This study contributes to a broader effort of institutions toward improving seasonal forecasts over southern Africa.
Browne, Nana Ama Kum
core +1 more source
Environmental Research Letters, 2020 The western North Pacific summer climate affects the densely populated East Asian countries, while seasonal forecasting over these regions remains challenging for dynamical models.
Yi-Peng Guo +3 more
doaj +1 more source
The prospects for seasonal forecasting - A review paper
Quarterly Journal of the Royal Meteorological Society, 1994 AbstractThe evidence for predictability of interannual fluctuations in the atmosphere and oceans is reviewed. The more linear nature of tropical dynamics is contrasted with the chaotic nature of extratropical circulations. The role of the largest interannual fluctuation, the El Niño Southern Oscillation, which has its origins in the tropical Pacific ...
Palmer, T, Anderson, D
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Seasonal Adjustment and Forecasting in the Presence of Trend [PDF]
The Computer Journal, 1967 A general linear statistical model for simultaneous seasonal adjustment and trend estimation is considered for one and two term deterministic trend functions. Explicit estimates of the parameters and variances are derived in a convenient computational form from which the properties of these estimates become apparent. In connection with possible uses of
openaire +3 more sources
Machine Learning Models for the Seasonal Forecast of Winter Surface Air Temperature in North America
Earth and Space Science, 2020 In this study, two machine learning (ML) models (support vector regression (SVR) and extreme gradient boosting (XGBoost)) are developed to perform seasonal forecasts of the surface air temperature (SAT) in winter (December‐January‐February, DJF) in North
Qi Feng Qian, Xiao Jing Jia, Hai Lin
doaj +1 more source
CFSv2-based sub-seasonal precipitation and temperature forecast skill over the contiguous United States [PDF]
Hydrology and Earth System Sciences, 2017 This paper explored the potential of a global climate model for sub-seasonal forecasting of precipitation and 2 m air temperature. The categorical forecast skill of 10 precipitation and temperature indices was investigated using the 28-year sub-seasonal ...
D. Tian, E. F. Wood, X. Yuan
doaj +1 more source
Frontiers in Climate, 2021 One major challenge facing farmers and other end users of weather and climate information (WCI) in Kenya is the linkage between their perceptions, needs, and engagements with producers of the information.
Richard Muita +10 more
doaj +1 more source
Improved Skills for Predicting Sub‐Seasonal to Seasonal Global Sea Surface Temperature [PDF]
Advanced scienceAddressing the critical Sub‐seasonal to Seasonal predictability gap, this study presents CAS‐Canglong, a novel deep learning framework. By leveraging 3D Swin‐Transformers to capture long‐range ocean interactions, the model demonstrates superior skill over traditional GCMs.
Wang L +6 more
europepmc +2 more sources
Global seasonal forecasts of marine heatwaves
Nature, 2022 AbstractMarine heatwaves (MHWs)—periods of exceptionally warm ocean temperature lasting weeks to years—are now widely recognized for their capacity to disrupt marine ecosystems1–3. The substantial ecological and socioeconomic impacts of these extreme events present significant challenges to marine resource managers4–7, who would benefit from ...
Michael G. Jacox +8 more
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