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Monthly Weather Review, ISSN 0027-0644, 06/2019, Volume 147, Issue 6, pp. 2217 - 2230
Model error in ensemble prediction systems is often represented by either a tendency perturbation approach or a process-based parameter perturbation scheme. In... 
Numerical weather prediction/forecasting | Ensembles | Atmosphere | Europe
Journal Article
Monthly Weather Review, ISSN 0027-0644, 06/2017, Volume 145, Issue 6, pp. 2385 - 2404
Journal Article
Monthly Weather Review, ISSN 0027-0644, 02/2019, Volume 147, Issue 2, pp. 645 - 655
Attempts to include the vast range of length scales and physical processes at play in Earth's atmosphere push weather and climate forecasters to build and more... 
Numerical weather prediction/forecasting | Climate models | Ensembles | Optimization | Model evaluation/performance | METEOROLOGY & ATMOSPHERIC SCIENCES
Journal Article
Monthly Weather Review, ISSN 0027-0644, 07/2011, Volume 139, Issue 7, pp. 2302 - 2306
Journal Article
Monthly Weather Review, ISSN 0027-0644, 06/2019, Volume 147, Issue 6, pp. 2283 - 2306
This study documents atmospheric conditions, development, and evolution of a severe weather outbreak that occurred on 11 August 2017 in Poland. The emphasis is... 
Numerical weather prediction/forecasting | Wind gusts | Derecho | Squall lines | Thunderstorms | Europe
Journal Article
Monthly Weather Review, ISSN 0027-0644, 03/2019, Volume 147, Issue 3, pp. 1029 - 1046
Wind power installations have been increasing in recent years. Because wind turbines can influence local wind speeds, temperatures, and surface fluxes, weather... 
atmosphere | renewable energy | numerical weather prediction/forecasting | WIND ENERGY | mesoscale forecasting | parameterization | wind effects
Journal Article
Monthly Weather Review, ISSN 0027-0644, 08/2012, Volume 140, Issue 8, pp. 2628 - 2646
An ensemble Kalman filter (EnKF) is optimal only for linear models because it assumes Gaussian distributions. A new type of outer loop, different from the one... 
Numerical weather prediction/forecasting | Kalman filters | Data assimilation | Studies | Meteorology
Journal Article
Weather and Forecasting, ISSN 0882-8156, 2015, Volume 30, Issue 3, pp. 591 - 612
The representation of turbulent mixing within the lower troposphere is needed to accurately portray the vertical thermodynamic and kinematic profiles of the... 
Numerical weather prediction/forecasting | Tornadoes | Mesoscale forecasting | Severe storms | Boundary layer | YAMADA LEVEL-3 MODEL | VERTICAL DIFFUSION | PART I | TURBULENCE CLOSURE-MODEL | CONVECTION | WRF MODEL | FORECASTS | SUPERCELL | METEOROLOGY & ATMOSPHERIC SCIENCES | PREDICTION | VERIFICATION
Journal Article
Monthly Weather Review, ISSN 0027-0644, 2013, Volume 141, Issue 10, pp. 3498 - 3516
Journal Article
Monthly Weather Review, ISSN 0027-0644, 08/2012, Volume 140, Issue 8, pp. 2706 - 2719
Zenith total delay (ZTD) observations derived from ground-based GPS receivers have been assimilated operationally into the Met Office North Atlantic and... 
Numerical weather prediction/forecasting | Satellite observations | PRECIPITABLE WATER-VAPOR | METEOROLOGY | IMPACT | METEOROLOGY & ATMOSPHERIC SCIENCES | BIAS | Assimilation | Studies | Rain | Satellites | Weather forecasting | Meteorology
Journal Article
Monthly Weather Review, ISSN 0027-0644, 06/2019, Volume 147, Issue 6, pp. 2231 - 2259
Hurricane Joaquin (2015) took a climatologically unusual track southwestward into the Bahamas before recurving sharply out to sea. Several operational forecast... 
Numerical weather prediction/forecasting | Mesoscale models | Mesoscale forecasting | Forecasting | Model errors | Data assimilation
Journal Article
Monthly Weather Review, ISSN 0027-0644, 05/2010, Volume 138, Issue 5, pp. 1567 - 1586
An intercomparison of the Environment Canada variational and ensemble Kalman filter (EnKF) data assimilation systems is presented in the context of producing... 
Numerical weather prediction/forecasting | Variational analysis | Data Assimilation | Kalman filters | Ensembles | SYSTEM | LOCALIZATION | COVARIANCES | PRECIPITATION | CANADA | MODEL | FORMULATION | METEOROLOGY & ATMOSPHERIC SCIENCES | BALANCE | Weather forecasting | Topography | Data assimilation
Journal Article
Journal of the Atmospheric Sciences, ISSN 0022-4928, 2014, Volume 71, Issue 10, pp. 3636 - 3658
Journal Article
Monthly Weather Review, ISSN 0027-0644, 02/2019, Volume 147, Issue 2, pp. 677 - 689
Data storage and data processing generate significant cost for weather and climate modeling centers. The volume of data that needs to be stored and data that... 
Numerical weather prediction/forecasting | Data processing | Operational forecasting | Ensembles | Atmosphere | COMPRESSION | METEOROLOGY & ATMOSPHERIC SCIENCES | PRECISION
Journal Article
Monthly Weather Review, ISSN 0027-0644, 12/2017, Volume 145, Issue 12, pp. 5033 - 5057
Achieving accurate storm-scale analyses and reducing the spinup time of modeled convection is a primary motivation for the assimilation of radar reflectivity... 
Numerical weather prediction/forecasting | Cloud resolving models | Radars/Radar observations | Data assimilation
Journal Article
Monthly Weather Review, ISSN 0027-0644, 11/2011, Volume 139, Issue 11, pp. 3554 - 3570
Two new postprocessing methods are proposed to reduce numerical weather prediction's systematic and random errors. The first method consists of running a... 
Numerical weather prediction/forecasting | Kalman filters | Forecast verification | UNITED-STATES | SYSTEM | MOS | DYNAMICAL MODEL | TEMPERATURE | MESOSCALE-MODEL | BIAS CORRECTION | ERROR | METEOROLOGY & ATMOSPHERIC SCIENCES | ENSEMBLE FORECASTS | LONG | Studies | Weather | Algorithms | Sensitivity analysis | Bias | Methods | Meteorology
Journal Article
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