21 citations as recorded by crossref.

1. Implications of Regime Transitions for Mountain-Wave-Breaking Predictability J. Doyle & C. Reynolds https://doi.org/10.1175/2008MWR2554.1
2. The Sensitivity of Orographic Precipitation to Flow Direction: An Idealized Modeling Approach L. Picard & C. Mass https://doi.org/10.1175/JHM-D-16-0209.1
3. Modification of Fronts and Precipitation by Coastal Blocking during an Intense Landfalling Winter Storm in Southern California: Observations during CALJET P. Neiman et al. https://doi.org/10.1175/1520-0493(2004)132<0242:MOFAPB>2.0.CO;2
4. An Intercomparison of T-REX Mountain-Wave Simulations and Implications for Mesoscale Predictability J. Doyle et al. https://doi.org/10.1175/MWR-D-10-05042.1
5. Terrain‐Enhanced Precipitation Processes Above the Melting Layer: Results From OLYMPEX L. McMurdie et al. https://doi.org/10.1029/2018JD029161
6. Sensitivities of Orographic Precipitation to Terrain Geometry and Upstream Conditions in Idealized Simulations C. Watson & T. Lane https://doi.org/10.1175/JAS-D-11-0198.1
7. Sensitivity of Northern Great Plains Convection Forecasts to Upstream and Downstream Forecast Errors J. Berman et al. https://doi.org/10.1175/MWR-D-16-0353.1
8. Implementation of an Orographic Drag Scheme Considering Orographic Anisotropy in All Flow Directions in the Earth System Model CAS‐ESM 2.0 J. Xie et al. https://doi.org/10.1029/2021MS002585
9. The Impact of a Prominent Rain Shadow on Flooding in California's Santa Cruz Mountains: A CALJET Case Study and Sensitivity to the ENSO Cycle F. Ralph et al. https://doi.org/10.1175/1525-7541(2003)004<1243:TIOAPR>2.0.CO;2
10. Mesoscale Predictability of Moist Baroclinic Waves: Convection-Permitting Experiments and Multistage Error Growth Dynamics F. Zhang et al. https://doi.org/10.1175/JAS4028.1
11. Large-Scale Errors and Mesoscale Predictability in Pacific Northwest Snowstorms D. Durran et al. https://doi.org/10.1175/JAS-D-12-0202.1
12. Ozone predictabilities due to meteorological uncertainties in the Mexico City basin using ensemble forecasts N. Bei et al. https://doi.org/10.5194/acp-10-6295-2010
13. Evaluation of an Orographic Precipitation Model I. Barstad & R. Smith https://doi.org/10.1175/JHM-404.1
14. Impacts of using an ensemble Kalman filter on air quality simulations along the California–Mexico border region during Cal–Mex 2010 Field Campaign N. Bei et al. https://doi.org/10.1016/j.scitotenv.2014.07.121
15. A Study on the Scale Dependence of the Predictability of Precipitation Patterns M. Surcel et al. https://doi.org/10.1175/JAS-D-14-0071.1
16. A highly localized high‐precipitation event over Corsica P. Scheffknecht et al. https://doi.org/10.1002/qj.2795
17. Predictability of Deep Convection in Idealized and Operational Forecasts: Effects of Radar Data Assimilation, Orography, and Synoptic Weather Regime K. Bachmann et al. https://doi.org/10.1175/MWR-D-19-0045.1
18. Short-term forecast large-scale error characteristics and their relationship with precipitation forecast skill under two rainfall regimes L. Li et al. https://doi.org/10.1016/j.atmosres.2023.107152
19. Sensitivity of Dryline Convection Forecasts to Upstream Forecast Errors for Two Weakly Forced MPEX Cases R. Torn et al. https://doi.org/10.1175/MWR-D-16-0457.1
20. Thunderstorms Do Not Get Butterflies D. Durran & J. Weyn https://doi.org/10.1175/BAMS-D-15-00070.1
21. Atmospheric Predictability: Why Butterflies Are Not of Practical Importance D. Durran & M. Gingrich https://doi.org/10.1175/JAS-D-14-0007.1