seasonal prediction
CLIVAR Exchanges Seasonal prediction
... The Seasonal Prediction Model Project (SMIP) provided the opportunity to verify the performance of seasonal simulations using several Atmospheric Global Circulation Models (AGCM’s) in several regions ...
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Prospects for Improving the Operational Seasonal Prediction of Tropical Cyclone Activity in the Southern Hemisphere
... cyclone seasonal variability, which can inform decision making, responses and adaptation in Australia and Pacific and Indian Ocean island ...TC seasonal prediction also enables to move to a lesser ...
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Improving Seasonal Prediction of East Asian Summer Rainfall: Experiments with NESM3.0
... to prediction skill of rainfall over ...improved prediction and clearly identify how they contributed to the ...EASM prediction, explanation for how each modified parameterization affects ...
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A snow and ice melt seasonal prediction modelling system for Alpine reservoirs
... namical) seasonal methodology rely on physical modelling of the coupled atmosphere-ocean ...dynamical seasonal prediction systems in ...for seasonal initial value based predictions as claimed ...
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Seasonal prediction of winter extreme precipitation over Canada by support vector regression
... ical seasonal cycle, ...the seasonal extreme precipitation ...dard seasonal extreme precipitation indices by the Euro- pean Union STARDEX project (STAtistical and Regional dynamical Downscaling of ...
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Benchmark seasonal prediction skill estimates based on regional indices
... G10010 was used to compute the time series of monthly sea ice extent for the pan-Arctic domain and various Arc- tic subregions in which sea ice is at least a seasonal fea- ture. The regionalization adopted here ...
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Seasonal prediction skill of East Asian summer monsoon in CMIP5 models
... Its seasonal predictability is a long-standing issue within the monsoon scientist ...the seasonal (the leading time is at least 6 months) prediction skill of the EASM rainfall and its associated ...
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What are the prospects for seasonal prediction of the marine environment of the North-west European Shelf?
... sea seasonal forecasts because of limited resolution, miss- ing shelf sea processes, and simplified treatment of river run- ...skillful seasonal forecasting systems (Baker et ...
A hybrid seasonal prediction model for tuberculosis incidence in China
... obvious seasonal trends [18]. One plausible explanation of these seasonal trends in China may be that the annual Spring Festival, the most important traditional festival of the year, usually falls in ...the ...
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Application of seasonal prediction on sugar cane
... (Numerical Prediction Division, Japan Meteorological Agency, Tokyo, Japan), Dr Leon Rotstayn (CAWCR, CSIRO Marine and Atmospheric Research, Australia), Dr Kenneth Sperber (Program for Climate Model Diagnosis and ...
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Assessment of water resources and seasonal prediction of rainfall in India
... by 2 ◦ C by 2100. Therefore, it appears natural that higher temperatures will intensify the global hydrological cycle and in turn considerably influence the variability and strength of the Indian monsoon rainfall. The ...
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A statistical study of seasonal winter rainfall prediction in the Comahue region (Argentina)
... The prediction schemes, using multiple linear regressions, showed that the selected variables are the cause of the 51% of the MJJ rainfall variance in the Limay river basin and the 44% in the Neuquén river ...
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Report of the Seventh Session of the CLIVAR Working Group on Seasonal to Internannual Prediction (WGSIP), 19 22 November 2002, Cape Town, South Africa
... As in introduction to this topic, Dr. G. Boer gave examples illustrating potential applications of ensemble methods, in particular multi-model ensemble methods, in climate and seasonal prediction. The ...
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Rainfall Simulation using ANN based Generealized Feed Forward and MLR Technique
... Chua et al. (2013) have employed several soft computing approaches for rainfall prediction. They have considered two aspects to improve the accuracy of rainfall prediction: (1) carrying out a ...
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Hybridization Of Stdl With Optimal Kernel Extreme Learning Machine (Okelm) Based Short Term Crude Oil Price Forecasting In Commodity Futures Market
... into seasonal, trend, and remainder (residual) elements utilizing the STDL ...Entire seasonal elements of the crude oil closed index prices shows a three-month ...the seasonal-naïve techniques are ...
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Short-term traffic flow prediction using seasonal ARIMA model with limited input data
... the prediction of traffic vol- ume in the next time interval usually in the range of five minutes to 1 h, is one of the important research problem in the field of ITS addressed by many researchers in the last two ...
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An improved ARIMA model for precipitation simulations
... Abstract. Auto regressive integrated moving average (ARIMA) models have been widely used to calculate monthly time series data formed by interannual variations of monthly data or inter-monthly variation. However, the ...
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The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set version 1
... on seasonal- to-interannual timescales; however, because they focussed on slightly different variables and averaging periods, and be- cause the experimental protocols were inconsistent between the studies, it was ...
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Seasonal climate prediction for the Australian sugar industry using data mining techniques
... This research concerned constructing forecast models for the prediction of above median rainfall for OND seasonal rainfall for a single case study location: Tully, with a lead time of one month. It would be ...
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Executive Summary of the Second Meeting of the CLIVAR Working Group on Ocean Model Development (WGOMD), Santa Fe, USA, 5 7 March 2001
... on Seasonal to Interannual Prediction (WGSIP) and the IGBP/GAIM Ocean Carbon-cycle Modelling Intercomparison Project (OCMIP), to discuss the status and ongoing efforts in ocean model development, identify ...
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