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Brian Ancell
Brian Ancell
未知所在单位机构
在 ttu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Comparing adjoint-and ensemble-sensitivity analysis with applications to observation targeting
B Ancell, GJ Hakim
Monthly Weather Review 135 (12), 4117-4134, 2007
2682007
Accelerating flash droughts induced by the joint influence of soil moisture depletion and atmospheric aridity
Y Qing, S Wang, BC Ancell, ZL Yang
Nature communications 13 (1), 1139, 2022
1142022
Ensemble sensitivity analysis applied to a southern plains convective event
CN Bednarczyk, BC Ancell
Monthly Weather Review 143 (1), 230-249, 2015
642015
Structure, growth rates, and tangent linear accuracy of adjoint sensitivities with respect to horizontal and vertical resolution
BC Ancell, CF Mass
Monthly weather review 134 (10), 2971-2988, 2006
632006
Ensemble sensitivity analysis for mesoscale forecasts of dryline convection initiation
AJ Hill, CC Weiss, BC Ancell
Monthly Weather Review 144 (11), 4161-4182, 2016
582016
Improving robustness of hydrologic ensemble predictions through probabilistic pre‐and post‐processing in sequential data assimilation
S Wang, BC Ancell, GH Huang, BW Baetz
Water Resources Research 54 (3), 2129-2151, 2018
572018
Seeding chaos: The dire consequences of numerical noise in NWP perturbation experiments
BC Ancell, A Bogusz, MJ Lauridsen, CJ Nauert
Bulletin of the American Meteorological Society 99 (3), 615-628, 2018
542018
Nonlinear characteristics of ensemble perturbation evolution and their application to forecasting high-impact events
BC Ancell
Weather and Forecasting 28 (6), 1353-1365, 2013
422013
Evaluation of surface analyses and forecasts with a multiscale ensemble Kalman filter in regions of complex terrain
BC Ancell, CF Mass, GJ Hakim
Monthly weather review 139 (6), 2008-2024, 2011
322011
Towards robust quantification and reduction of uncertainty in hydrologic predictions: Integration of particle Markov chain Monte Carlo and factorial polynomial chaos expansion
S Wang, GH Huang, BW Baetz, BC Ancell
Journal of Hydrology 548, 484-497, 2017
302017
Predictability characteristics of landfalling cyclones along the North American west coast
LA McMurdie, B Ancell
Monthly Weather Review 142 (1), 301-319, 2014
262014
Examination of analysis and forecast errors of high-resolution assimilation, bias removal, and digital filter initialization with an ensemble Kalman filter
BC Ancell
Monthly weather review 140 (12), 3992-4004, 2012
232012
Examining dynamic interactions among experimental factors influencing hydrologic data assimilation with the ensemble Kalman filter
S Wang, GH Huang, BW Baetz, XM Cai, BC Ancell, YR Fan
Journal of Hydrology 554, 743-757, 2017
222017
The Wind Forecast Improvement Project (WFIP): A public/private partnership for improving short term wind energy forecasts and quantifying the benefits of utility operations …
JM Freedman, J Manobianco, J Schroeder, B Ancell, K Brewster, S Basu, ...
AWS Truepower, LLC, Albany, NY (United States), 2014
222014
Improving high-impact forecasts through sensitivity-based ensemble subsets: Demonstration and initial tests
BC Ancell
Weather and Forecasting 31 (3), 1019-1036, 2016
202016
Variations of thunderstorm charge structures in West Texas on 4 June 2012
VC Chmielewski, EC Bruning, BC Ancell
Journal of Geophysical Research: Atmospheres 123 (17), 9502-9523, 2018
192018
Evaluation of wind forecasts and observation impacts from variational and ensemble data assimilation for wind energy applications
BC Ancell, E Kashawlic, JL Schroeder
Monthly Weather Review 143 (8), 3230-3245, 2015
192015
The variability of adjoint sensitivity with respect to model physics and basic-state trajectory
BC Ancell, CF Mass
Monthly Weather Review 136 (12), 4612-4628, 2008
182008
Comparison of surface wind and temperature analyses from an ensemble Kalman filter and the NWS real-time mesoscale analysis system
BC Ancell, CF Mass, K Cook, B Colman
Weather and forecasting 29 (4), 1058-1075, 2014
132014
New perspectives on ensemble sensitivity analysis with applications to a climatology of severe convection
BC Ancell, AA Coleman
Bulletin of the American Meteorological Society 103 (2), E511-E530, 2022
112022
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