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Generalisation for neural networks through data sampling and training procedures, with applications to streamflow predictions
neural networks generalisation stacking
2009/3/6
Since the 1990s, neural networks have been applied to many studies in hydrology and water resources.
Sensitivity of Mixed layer Predictions at Ocean Station Papa to Atmospheric Forcing Parameters
Mixed layer Atmospheric Forcing Parameters Ocean Station Papa
2009/1/20
The effect of errors and biases in the atmospheric forcing for oceanic mixed layer model predictions is studied using data sensitivity techniques. First the bulk model of Garwood is used to predict 17...
Seabed Stresses in Combined Wave and Steady Flow Conditions on the Nova Scotia Continental Shelf：Field Measurements and Predictions
Seabed Stresses Combined Wave Steady Flow Continental Shelf
2009/1/5
A tripod holding electromagnetic flowmeters at two heights within 1 m above the seabed has been deployed at two shallow sites (25 and 45 m depths) on the continental shelf off Nova Scotia, Canada. Wav...
Predictions and Studies with a One-Dimensional Ice–Ocean Model
One-Dimensional Ice–Ocean Model Arctic phenomena thermodynamic ice model
2008/12/30
A coupled one-dimensional ice-ocean model is used for studies of Arctic phenomena. The ice-snow system is represented by the simplified thermodynamic ice model of Semtner and a dynamic approximation t...
Surface tensions of multi-component mixed inorganic/organic aqueous systems of atmospheric significance: measurements, model predictions and importance for cloud activation predictions
Surface tensions model predictions cloud activation predictions
2008/12/9
In order to predict the physical properties of aerosol particles, it is necessary to adequately capture the behaviour of the ubiquitous complex organic components. One of the key properties which may ...
Assimilating Coastal Wave Observations in Regional Swell Predictions. Part I: Inverse Methods
Assimilating Coastal Wave Regional Swell Predictions Inverse Methods
2008/10/31
Inverse methods are used to assimilate wave observations into numerical predictions of ocean swell (0.04–0.12 Hz surface waves) propagating over complex continental shelf bathymetry. Model predictions...
Probabilistic forecasting of shallow, rainfall-triggered landslides using real-time numerical weather predictions
Probabilistic forecasting shallow, rainfall-triggered landslides real-time numerical weather predictions
2009/12/30
Global weather forecasts from the United Kingdom Met Office (MO) Numerical Weather Prediction model (NWP) are coupled with a regional data assimilating NWP model (New Zealand Limited Area Model, NZLAM...
Symposium 08 Effects of global climate change on birds: evidence and predictions: Introduction
2007/12/11
QCD Predictions for Spin Dependence of Parton Distributions
valon model parton distribution function moment of
structure function Bernstein polynomial spin contribution
2007/8/15
2005Vol.43No.6pp.1087-1098DOI:
QCD Predictions for Spin Dependence of Parton Distributions
S. Atashbar Tehrani,1,4 Ali N. Khorramian,2,4 and A. Mirjalili3,4
1 Physics De...
UQ scientist blows the top off volcanic eruption predictions
volcanic eruption earthquake
2006/12/13
12 December 2006，A University of Queensland scientist has developed a computer model that could help provide more accurate predictions about volcanic eruptions.Dr Alina Hale, from the University's Ear...
The skill of empirical and combined/calibrated coupled multi-model South American seasonal predictions during ENSO
empirical and combined/calibrated coupled multi-model South American seasonal predictions ENSO
2010/1/25
This study addresses seasonal predictability of South American rainfall during ENSO. The skill of empirical and coupled multi-model predictions is assessed and compared. The empirical model uses the p...
Optimising soil-hydrological predictions using effective CART models
soil-hydrological predictions effective CART models
2010/1/25
There are various problems with process-based models at the landscape scale, including substantial computational requirements, a multitude of uncertain input parameters and the limited parameter ident...
Stochastic downscaling of LAM predictions: an example in the Mediterranean area
Stochastic downscaling LAM predictions the Mediterranean area
2010/1/22
In the absence of a full deterministic modelling of small-scale rainfall, it is common practice to resort to the use of stochastic downscaling models to generate ensemble rainfall predictions to be us...
Bidirectional reflectance function for oceanic waters with varying chlorophyll concentrations: Measurements versus predictions
Bidirectional reflectance function oceanic waters varying chlorophyll concentrations Measurements versus predictions
2014/5/9
The bidirectional reflectance of the ocean is an important parameter in ocean color remote sensing. Model predictions for case-1 waters were compared with measurements over a large range of chlorophyl...