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Evaluating forecasting models for predicting rainfall from tropical cyclones
forecasting models predicting rainfall tropical cyclones
2016/11/4
Many people know that tropical cyclones and hurricanes cause high winds and storm surges. But two of their other effects, heavy rainfall and inland flooding, can be just as dangerous and impact larger...
A comparison and evaluation of performances among crop yield forecasting models based on remote sensing: Results from the GEOLAND Observatory of Food Monitoring
Crop Yield Forecast Remote Sensing Modelling
2015/9/6
In the context of the GEOLAND EC FP6 project the comparison of different remote sensing based approaches for yield forecasting
over large areas in Europe are tested and results inter-compared. In par...
A Comparison of Neighbourhood Selection Techniques in Spatio-Temporal Forecasting Models
Spatio-temporal forecasting prediction transportation model selection variable selection
2014/11/28
Spatio-temporal neighbourhood (STN) selection is an important part of the model building procedure in spatio-temporal forecasting. The STN can be defined as the set of observations at neighbouring loc...
Time-dependent prediction degredation assessment of neural-networks-based TEC forecasting models
Time-dependent prediction degredation assessment neural-networks-based TEC forecasting models
2009/11/12
An estimation of the difference in TEC prediction accuracy achieved when the prediction varies from 1 h to 7 days in advance is described using classical neural networks. Hourly-daily Faraday-rotation...
Forecasting Models for Sugi (Cryptomeria japonica D. Don) Pollen Count Showing an Alternate Dispersal Rhythm
annual pollen count dispersal rhythm forecasting model periodicity sugi (Cryptomeria japonica)
2010/11/17
An alternate pollen dispersal rhythm represented by a dummy variable in the multiple regression analysis plays a key role in improving forecasting models for the total annual sugi pollen count.