搜索结果: 76-90 共查到“理学 Forecasting”相关记录165条 . 查询时间(0.03 秒)
Long-range climate forecasting and its use for water management in the Pacific Northwest region of North America
Long-range climate forecasting water management Pacific Northwest region North America
2009/12/7
Ongoing research by the Climate Impacts Group at the University of Washington focuses on the use of recent advances in climate research to improve streamflow forecasts at seasonal-to-interannual, deca...
Improved non-linear transfer function and neural network methods of flow routing for real-time forecasting
non-linear transfer function neural network methods flow routing real-time forecasting
2009/12/4
Data-based methods of flow forecasting are becoming increasingly popular due to their rapid development times, minimum information requirements, and ease of real-time implementation, with transfer fun...
Rainfall and runoff forecasting with SSA–SVM approach
Rainfall and runoff forecasting SSA–SVM approach
2009/12/4
Real time operation studies such as reservoir operation, flood forecasting, etc., necessitates good forecasts of the associated hydrologic variable(s). A significant improvement in such forecasting ca...
Neural network rainfall-runoff forecasting based on continuous resampling
Neural network rainfall-runoff forecasting continuous resampling
2009/12/4
Most neural network hydrological modelling has used split-sample validation to ensure good out-of-sample generalisation and thus safeguard each potential solution against the danger of overfitting. Ho...
EC-SVM approach for real-time hydrologic forecasting
EC-SVM approach real-time hydrologic forecasting
2009/12/4
This study demonstrates a combined application of chaos theory and support vector machine (SVM) in the analysis of chaotic time series with a very large sample data record. A large data record is ofte...
Efficient implementation of inverse approach for forecasting hydrological time series using micro GA
Efficient implementation inverse approach hydrological time series micro GA
2009/12/4
This paper implements the inverse approach for forecasting hydrological time series in an efficient way using a micro-GA (mGA) search engine. The inverse approach is based on chaos theory and it invol...
Operational forecasting is hampered both by the rapid divergence of nearby initial conditions and by error in the underlying model. Interest in chaos has fuelled much work on the first of these two is...
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 characteristic earthquakes in a minimalist model
characteristic earthquakes minimalist model
2009/11/12
Using error diagrams, we quantify the forecasting of characteristic-earthquake occurrence in a recently introduced minimalist model. Initially we connect the earthquake alarm at a fixed time after the...
No proven method is currently available for the reliable short time prediction of earthquakes (minutes to months). However, it is possible to make probabilistic hazard assessments for earthquake risk....
Flash-flood forecasting by means of neural networks and nearest neighbour approach–a comparative study
Flash-flood forecasting neural networks nearest neighbour approach
2009/11/9
In this paper, Multi-Layer Perceptron and Radial-Basis Function Neural Networks, along with the Nearest Neighbour approach and linear regression are utilized for flash-flood forecasting in the mountai...
Application of the LEPS technique for Quantitative Precipitation Forecasting (QPF) in Southern Italy:a preliminary study
LEPS technique Quantitative Precipitation Forecasting Southern Italy preliminary study
2009/11/9
This paper reports preliminary results for a Limited area model Ensemble Prediction System (LEPS), based on RAMS (Regional Atmospheric Modelling System), for eight case studies of moderate-intense pre...
Initial state perturbations in ensemble forecasting
Initial state perturbations ensemble forecasting
2009/11/2
Due to the chaotic nature of atmospheric dynamics, numerical weather prediction systems are sensitive to errors in the initial conditions. To estimate the forecast uncertainty, forecast centres produc...
Robust nonlinear canonical correlation analysis:application to seasonal climate forecasting
Robust nonlinear canonical correlation analysis seasonal climate
2009/10/30
Robust variants of nonlinear canonical correlation analysis (NLCCA) are introduced to improve performance on datasets with low signal-to-noise ratios, for example those encountered when making seasona...
Combination of a Conceptual Model and an Autoregressive Error Model for Improving Short Time Forecasting
Combination Conceptual Model Autoregressive Error Model
2009/10/28
An autoregressive error model has been tested on the residuals of the conceptual
HBV-model for the EmAn catchment. The autoregresslve model gives
considerable improvements for real shorttime forecas...