21 citations as recorded by crossref.

1. Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland M. Werner et al. 10.3390/rs11202364
2. Impact of Radar Reflectivity and Lightning Data Assimilation on the Rainfall Forecast and Predictability of a Summer Convective Thunderstorm in Southern Italy S. Federico et al. 10.3390/atmos12080958
3. Review of mapping analysis and complementarity between solar and wind energy sources R. Pedruzzi et al. 10.1016/j.energy.2023.129045
4. A WRF/WRF-Hydro Coupled Forecasting System with Real-Time Precipitation–Runoff Updating Based on 3Dvar Data Assimilation and Deep Learning Y. Liu et al. 10.3390/w15091716
5. The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. 10.3390/rs13030351
6. Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. 10.3390/rs12050811
7. Four-dimensional variational (4DVAR) performance test with assimilation satellite and radar data (case study of a heavy rainfall Bengkulu March 4, 2019) D. Syafitri J & F. Sari 10.1088/1755-1315/893/1/012031
8. Dynamical forcings in heavy precipitation events over Italy: lessons from the HyMeX SOP1 campaign M. Miglietta & S. Davolio 10.5194/hess-26-627-2022
9. Assimilation of PM2.5 ground base observations to two chemical schemes in WRF-Chem – The results for the winter and summer period M. Werner et al. 10.1016/j.atmosenv.2018.12.016
10. A study on the relevance of semantic features extracted using BERT-based language models for enhancing the performance of software defect classifiers A. Briciu et al. 10.1016/j.procs.2023.10.149
11. The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6 A. Caldas-Alvarez et al. 10.5194/wcd-2-561-2021
12. Evaluation of 3D‐Var and 4D‐Var data assimilation on simulation of heavy rainfall events over the Indian region S. Patel et al. 10.1002/met.70037
13. Evaluation of the Weak Constraint Data Assimilation Approach for Estimating Turbulent Heat Fluxes at Six Sites X. He et al. 10.3390/rs10121994
14. Investigating 3D and 4D variational rapid-update-cycling assimilation of weather radar reflectivity for a heavy rain event in central Italy V. Mazzarella et al. 10.5194/nhess-21-2849-2021
15. Predictive skill comparative assessment of WRF 4DVar and 3DVar data assimilation: An Indian Ocean tropical cyclone case study G. Tiwari & P. Kumar 10.1016/j.atmosres.2022.106288
16. Predictive Capability of a High-Resolution Hydrometeorological Forecasting Framework Coupling WRF Cycling 3DVAR and Continuum M. Lagasio et al. 10.1175/JHM-D-18-0219.1
17. Assessing the Impact of GNSS ZTD Data Assimilation into the WRF Modeling System during High-Impact Rainfall Events over Greece C. Giannaros et al. 10.3390/rs12030383
18. RANS and LES face to face for forecasting extreme precipitation events in the Liguria region (northwestern Italy) F. Ferrari et al. 10.1016/j.atmosres.2021.105654
19. WRF data assimilation of weather stations and lightning data for a convective event in northern Italy E. Maggioni et al. 10.1007/s42865-023-00061-8
20. Effect of the Assimilation Frequency of Radar Reflectivity on Rain Storm Prediction by Using WRF-3DVAR Y. Liu et al. 10.3390/rs13112103
21. Predictability Improvement of Band-shaped Precipitation Systems in the Frontal Rainfall Using XRAIN Data Y. YOKOE et al. 10.3178/jjshwr.35.1738