48 citations as recorded by crossref.

1. ResLap: Generating High-Resolution Climate Prediction Through Image Super-Resolution J. Cheng et al. https://doi.org/10.1109/ACCESS.2020.2974785
2. A sequential ensemble prediction system at convection-permitting scales M. Milan et al. https://doi.org/10.1007/s00703-013-0291-3
3. APS2-ACCESS-C2: the first Australian operational NWP convection-permitting model G. Roff et al. https://doi.org/10.1071/ES21013
4. IMERG V07B and V06B: A Comparative Study of Precipitation Estimates Across South America with a Detailed Evaluation of Brazilian Rainfall Patterns J. Rozante & G. Rozante https://doi.org/10.3390/rs16244722
5. Reply K. Brill & F. Mesinger https://doi.org/10.1175/2010WAF2222459.1
6. A Comparison of Two Methods for Bias Correcting Precipitation Skill Scores M. Pyle & K. Brill https://doi.org/10.1175/WAF-D-18-0109.1
7. A verification of spatio-temporal monsoon rainfall variability across Indian region using NWP model output A. Ranade et al. https://doi.org/10.1007/s00703-014-0317-5
8. On the Calculation and Correction of Equitable Threat Score for Model Quantitative Precipitation Forecasts for Small Verification Areas: The Example of Taiwan C. Wang https://doi.org/10.1175/WAF-D-13-00087.1
9. Eta vs. sigma: review of past results, Gallus–Klemp test, and large-scale wind skill in ensemble experiments F. Mesinger & K. Veljovic https://doi.org/10.1007/s00703-016-0496-3
10. The Response of Performance Metrics for Binary Forecasts to Hedging that Approaches Random Change K. Brill & M. Pyle https://doi.org/10.1175/2010WAF2222381.1
11. An Investigation of the Short-Term Predictability of Precipitation Using High-Resolution Composite Radar Observations E. Ruzanski & V. Chandrasekar https://doi.org/10.1175/JAMC-D-11-069.1
12. The Brazilian Global Atmospheric Model (BAM): Performance for Tropical Rainfall Forecasting and Sensitivity to Convective Scheme and Horizontal Resolution S. Figueroa et al. https://doi.org/10.1175/WAF-D-16-0062.1
13. Applying a General Analytic Method for Assessing Bias Sensitivity to Bias-Adjusted Threat and Equitable Threat Scores K. Brill & F. Mesinger https://doi.org/10.1175/2009WAF2222272.1
14. Evaluation of the benefits of assimilation of Meteosat-8 observations in an NWP system over the Indian Ocean region M. Bushair et al. https://doi.org/10.1007/s00703-021-00826-w
15. Intercomparison of Spatial Forecast Verification Methods E. Gilleland et al. https://doi.org/10.1175/2009WAF2222269.1
16. Verification of the Weather Research and Forecasting Model when Forecasting Daily Surface Conditions in Southern Alberta C. Pennelly & G. Reuter https://doi.org/10.1080/07055900.2017.1282345
17. Limited area NWP and regional climate modeling: a test of the relaxation vs Eta lateral boundary conditions F. Mesinger & K. Veljovic https://doi.org/10.1007/s00703-012-0217-5
18. Effects of aerosols on the forecasting of Mei-yu frontal storms over the Yangtze–Huai River valley L. Liu et al. https://doi.org/10.1016/j.atmosres.2022.106535
19. Evaluation of Performance of Polar WRF Model in Simulating Precipitation over Qinghai-Tibet Plateau J. XUE & Z. XIAO https://doi.org/10.3724/j.1006-8775.2023.031
20. Neighborhood-Based Verification of Precipitation Forecasts from Convection-Allowing NCAR WRF Model Simulations and the Operational NAM A. Clark et al. https://doi.org/10.1175/2010WAF2222404.1
21. QPF performance of the updated SIMM forecasting system using reforecasts S. Mariani et al. https://doi.org/10.1002/met.1453
22. On the role of cloud adjustment time scale in simulating precipitation with Relaxed Arakawa–Schubert convection scheme D. Jain et al. https://doi.org/10.1007/s00703-011-0170-8
23. Investigating the WRF Temperature and Precipitation Performance Sensitivity to Spatial Resolution over Central Europe I. Stergiou et al. https://doi.org/10.3390/atmos12020278
24. Predictive skill of a subset of models participating in D‐PHASE in the COPS region H. Bauer et al. https://doi.org/10.1002/qj.715
25. Testing Competing Precipitation Forecasts Accurately and Efficiently: The Spatial Prediction Comparison Test E. Gilleland https://doi.org/10.1175/MWR-D-12-00155.1
26. Relationship between Precipitation Forecast Errors and Skill Scores of Dichotomous Forecasts N. Tartaglione https://doi.org/10.1175/2009WAF2222211.1
27. An upgraded version of the Eta model F. Mesinger et al. https://doi.org/10.1007/s00703-012-0182-z
28. A modified deep learning weather prediction using cubed sphere for global precipitation M. Singh et al. https://doi.org/10.3389/fclim.2022.1022624
29. Dynamical Downscaling of Austral Summer Climate Forecasts over Southern Africa Using a Regional Coupled Model J. Ratnam et al. https://doi.org/10.1175/JCLI-D-12-00645.1
30. Post-Processing Ensemble Precipitation Forecasts and Their Applications in Summer Streamflow Prediction over a Mountain River Basin Y. Xiang et al. https://doi.org/10.3390/atmos14111645
31. Use of Multiple Verification Methods to Evaluate Forecasts of Convection from Hot- and Cold-Start Convection-Allowing Models D. Stratman et al. https://doi.org/10.1175/WAF-D-12-00022.1
32. Forecasts of extreme precipitation in the western Balkans in May 2014: model skill and sensitivity to the vertical co‐ordinate D. Marjanović et al. https://doi.org/10.1002/met.1636
33. Constructing Rainfall Threshold for Debris Flows of a Defined Hazardous Magnitude Y. Li et al. https://doi.org/10.3390/rs16071265
34. Performance of precipitation products obtained from combinations of satellite and surface observations J. Rozante et al. https://doi.org/10.1080/01431161.2020.1763504
35. Topography in Weather and Climate Models: Lessons from Cut-Cell Eta vs. European Centre for Medium-Range Weather Forecasts Experiments F. MESINGER & K. VELJOVIC https://doi.org/10.2151/jmsj.2020-050
36. Avaliação de estimativas de campos de precipitação para modelagem hidrológica distribuída A. Paz & W. Collischonn https://doi.org/10.1590/S0102-77862011000100010
37. A Novel Reference-Based and Gradient-Guided Deep Learning Model for Daily Precipitation Downscaling L. Xiang et al. https://doi.org/10.3390/atmos13040511
38. Analyzing the Image Warp Forecast Verification Method on Precipitation Fields from the ICP E. Gilleland et al. https://doi.org/10.1175/2010WAF2222365.1
39. O Intervalo de Tempo para uma Máxima Previsiblidade da Precipitação sobre o Semiarido Brasileiro S. Cabral et al. https://doi.org/10.1590/0102-778631220130034
40. How much does a high-resolution global ensemble forecast improve upon deterministic prediction skill for the Indian summer monsoon? P. Chakraborty et al. https://doi.org/10.1007/s00703-023-00966-1
41. Impact of Storm-Scale Lightning Data Assimilation on WRF-ARW Precipitation Forecasts during the 2013 Warm Season over the Contiguous United States A. Fierro et al. https://doi.org/10.1175/MWR-D-14-00183.1
42. Multi-model ensemble: technique and validation J. Rozante et al. https://doi.org/10.5194/gmd-7-2333-2014
43. WRF Physics Ensemble Performance Evaluation over Continental and Coastal Regions in Germany I. Stergiou et al. https://doi.org/10.3390/atmos14010017
44. Super-Resolution Downscaling of Severe Precipitation Ensemble Forecasts Using a Self-Attention-Enhanced CNN Z. Zhao et al. https://doi.org/10.1007/s13351-026-5306-3
45. TG-Net: A Physically Interpretable Deep Learning Forecasting Model for Thunderstorm Gusts Y. Liu et al. https://doi.org/10.1007/s13351-025-4080-y
46. Do the use of a convection scheme in the convective “gray zone” and the increase in spatial resolution enhance the WRF’s precipitation predictive capability? I. Stergiou et al. https://doi.org/10.1007/s00704-025-05415-0
47. Stepwise correction of ECMWF ensemble forecasts of severe rainfall in China based on segmented hierarchical clustering L. Gao et al. https://doi.org/10.3389/feart.2022.1079225
48. Comments on “Applying a General Analytic Method for Assessing Bias Sensitivity to Bias-Adjusted Threat and Equitable Threat Scores” Z. Pasarić & J. Juras https://doi.org/10.1175/2010WAF2222453.1