Estimating model parameters with ensemble-based data assimilation: A review
Weather forecast and earth system models usually have a number of parameters, which are
often optimized manually by trial and error. Several studies have proposed objective …
often optimized manually by trial and error. Several studies have proposed objective …
Ensemble methods for neural network‐based weather forecasts
Ensemble weather forecasts enable a measure of uncertainty to be attached to each
forecast, by computing the ensemble's spread. However, generating an ensemble with a …
forecast, by computing the ensemble's spread. However, generating an ensemble with a …
Skill forecasting from ensemble predictions of wind power
Optimal management and trading of wind generation calls for the providing of uncertainty
estimates along with the commonly provided short-term wind power point predictions …
estimates along with the commonly provided short-term wind power point predictions …
[HTML][HTML] Assessing the ensemble spread–error relationship
TM Hopson - Monthly Weather Review, 2014 - journals.ametsoc.org
Hopson, TM, and Coauthors, 2010: Quantile regression as a means of calibrating and
verifying a mesoscale NWP ensemble. Proc. 20th Conf. on Probability and Statistics in the …
verifying a mesoscale NWP ensemble. Proc. 20th Conf. on Probability and Statistics in the …
Hypothesis testing for nonlinear phenomena in the geosciences using synthetic, surrogate data
CJ Keylock - Earth and Space Science, 2019 - Wiley Online Library
Studying nonlinear and potentially chaotic phenomena in geophysics from measured
signals is problematic when system noise interferes with the dynamic processes that one is …
signals is problematic when system noise interferes with the dynamic processes that one is …
Toward reduced transport errors in a high resolution urban CO2 inversion system
We present a high-resolution atmospheric inversion system combining a Lagrangian
Particle Dispersion Model (LPDM) and the Weather Research and Forecasting model …
Particle Dispersion Model (LPDM) and the Weather Research and Forecasting model …
Ensemble hydrological prediction‐based real‐time optimization of a multiobjective reservoir during flood season in a semiarid basin with global numerical weather …
F Wang, L Wang, H Zhou… - Water Resources …, 2012 - Wiley Online Library
Future streamflow uncertainties hinder reservoir real‐time operation, but the ensemble
prediction technique is effective for reducing the uncertainties. This study aims to combine …
prediction technique is effective for reducing the uncertainties. This study aims to combine …
A priori identification of skillful extratropical subseasonal forecasts
The current generation of subseasonal operational model forecasts has, on average, low
skill for leads beyond 3 weeks. This is likely a fundamental property of the climate system …
skill for leads beyond 3 weeks. This is likely a fundamental property of the climate system …
Potentialities of ensemble strategies for flood forecasting over the Milano urban area
Analysis of ensemble forecasting strategies, which can provide a tangible backing for flood
early warning procedures and mitigation measures over the Mediterranean region, is one of …
early warning procedures and mitigation measures over the Mediterranean region, is one of …
Extending a joint probability modelling approach for post-processing ensemble precipitation forecasts from numerical weather prediction models
Statistical post-processing has been widely employed to correct bias and dispersion errors
in raw ensemble precipitation forecasts from numerical weather prediction models. One …
in raw ensemble precipitation forecasts from numerical weather prediction models. One …