Brian C. Ancell

发表

Examination of Analysis and Forecast Errors of High-Resolution Assimilation, Bias Removal, and Digital Filter Initialization with an Ensemble Kalman Filter

Brian C. Ancell, B. Ancell, 2012 .

Improving High-Impact Forecasts through Sensitivity-Based Ensemble Subsets: Demonstration and Initial Tests

Brian C. Ancell, B. Ancell, 2016 .

Objective and Forecaster Evaluation of Current NWS Mesoscale Surface Analysis Techniques with the Ensemble Kalman Filter

Brian C. Ancell, 2013 .

Toward the Improvement of High-Impact Probabilistic Forecasts with a Sensitivity-Based Convective-Scale Ensemble Subsetting Technique

Brian C. Ancell, Austin A Coleman, B. Ancell, 2020, Monthly Weather Review.

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations. The Southern Study Area, Final Report

Bri-Mathias Hodge, Keith Brewster, John Manobianco, 2014 .

The Effects of the Amplification of Numerical Noise through Chaos on Predictability Studies

Brian C. Ancell, 2017 .

Evaluation of Surface Analyses and Forecasts with a Multiscale Ensemble Kalman Filter in Regions of Complex Terrain

Gregory J. Hakim, Clifford F. Mass, Brian C. Ancell, 2011 .

Structure, Growth Rates, and Tangent Linear Accuracy of Adjoint Sensitivities with Respect to Horizontal and Vertical Resolution

Clifford F. Mass, Brian C. Ancell, C. Mass, 2006 .

Nonlinear Characteristics of Ensemble Perturbation Evolution and Their Application to Forecasting High-Impact Events

Brian C. Ancell, B. Ancell, 2013 .

Evaluation of Wind Forecasts and Observation Impacts from Variational and Ensemble Data Assimilation for Wind Energy Applications

John L. Schroeder, Brian C. Ancell, J. Schroeder, 2015 .