51 citations as recorded by crossref.

1. Assessment of mesoscale convective systems using IR brightness temperature in the southwest of Iran S. Rafati & M. Karimi https://doi.org/10.1007/s00704-016-1797-7
2. Global monitoring of deep convection using passive microwave observations J. Rysman et al. https://doi.org/10.1016/j.atmosres.2020.105244
3. Passive Microwave Rainfall Error Analysis Using High-Resolution X-Band Dual-Polarization Radar Observations in Complex Terrain Y. Derin et al. https://doi.org/10.1109/TGRS.2017.2763622
4. Potential of microwave observations for the evaluation of rainfall and convection in a regional climate model in the frame of HyMeX and MED-CORDEX J. Rysman et al. https://doi.org/10.1007/s00382-016-3203-7
5. Warm Core and Deep Convection in Medicanes: A Passive Microwave-Based Investigation G. Panegrossi et al. https://doi.org/10.3390/rs15112838
6. The new Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for the cross-track scanning ATMS radiometer: description and verification study over Europe and Africa using GPM and TRMM spaceborne radars P. Sanò et al. https://doi.org/10.5194/amt-9-5441-2016
7. GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm S. Pfreundschuh et al. https://doi.org/10.5194/amt-15-5033-2022
8. Global Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme C. Kidd et al. https://doi.org/10.1175/JHM-D-15-0051.1
9. Integration of shapley additive explanations with random forest model for quantitative precipitation estimation of mesoscale convective systems Z. He et al. https://doi.org/10.3389/fenvs.2022.1057081
10. A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations C. Guilloteau et al. https://doi.org/10.1109/TGRS.2025.3548518
11. Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al. https://doi.org/10.3390/rs10101549
12. Millimeter-Wave Reference Noise Generator with Extended Dynamic Range S. Peregudov et al. https://doi.org/10.3103/S0735272724070033
13. A Machine Learning Snowfall Retrieval Algorithm for ATMS P. Sanò et al. https://doi.org/10.3390/rs14061467
14. Severe convection in the Mediterranean from microwave observations and a convection‐permitting model J. Rysman et al. https://doi.org/10.1002/qj.2611
15. Rainfall Algorithms Using Oceanic Satellite Observations from MWHS-2 R. Chen & R. Bennartz https://doi.org/10.1007/s00376-020-0258-5
16. Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil L. Martins Costa do Amaral et al. https://doi.org/10.3390/rs10111743
17. Reconstructing Satellite-Based Monthly Precipitation over Northeast China Using Machine Learning Algorithms W. Jing et al. https://doi.org/10.3390/rs9080781
18. A Prototype Precipitation Retrieval Algorithm over Land for ATMS Y. You et al. https://doi.org/10.1175/JHM-D-15-0163.1
19. Precipitation Intensity Trend Detection using Hourly and Daily Observations in Portland, Oregon A. Cooley & H. Chang https://doi.org/10.3390/cli5010010
20. Near-surface wind field characterization of medicanes using satellite observations S. Sebastianelli et al. https://doi.org/10.1016/j.atmosres.2025.108734
21. Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations V. Barlakas & P. Eriksson https://doi.org/10.3390/rs12030531
22. Use of the GPM Constellation for Monitoring Heavy Precipitation Events Over the Mediterranean Region G. Panegrossi et al. https://doi.org/10.1109/JSTARS.2016.2520660
23. Neural Network Algorithm for Precipitation Estimation from ATMS Radiometer Data A. Filei & A. Andreev https://doi.org/10.1134/S0001433825700112
24. Retrieval of Atmospheric Profiles in the New York State Mesonet Using One‐Dimensional Variational Algorithm J. Yang & Q. Min https://doi.org/10.1029/2018JD028272
25. The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer P. Sanò et al. https://doi.org/10.3390/rs10071122
26. Spatio-temporal variations of precipitation considering the orographic effects on Jeju Island M. Um et al. https://doi.org/10.1016/j.atmosres.2016.07.007
27. The Use of TRMM 3B42 Product for Drought Monitoring in Mexico A. De Jesús et al. https://doi.org/10.3390/w8080325
28. PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. https://doi.org/10.5194/gmd-17-2053-2024
29. The High lAtitude sNowfall Detection and Estimation aLgorithm for ATMS (HANDEL-ATMS): a new algorithm for snowfall retrieval at high latitudes A. Camplani et al. https://doi.org/10.5194/amt-17-2195-2024
30. A New Data Fusion Neural Network Scheme for Rainfall Retrieval Using Passive Microwave and Visible/Infrared Satellite Data M. Sist et al. https://doi.org/10.3390/app11104686
31. Detecting change in precipitation indices using observed (1977–2016) and modeled future climate data in Portland, Oregon, USA A. Cooley & H. Chang https://doi.org/10.2166/wcc.2020.043
32. Precipitation Retrieval from FY-3G/MWRI-RM Based on SMOTE-LGBM Y. Lv et al. https://doi.org/10.3390/atmos15111268
33. Can We Use Atmospheric Targets for Geolocating Spaceborne Millimeter-Wave Ice Cloud Imager (ICI) Acquisitions? D. Casella et al. https://doi.org/10.1109/TGRS.2022.3145638
34. Improving Overland Precipitation Retrieval with Brightness Temperature Temporal Variation Y. You et al. https://doi.org/10.1175/JHM-D-17-0050.1
35. Daily precipitation estimation through different microwave sensors: Verification study over Italy L. Ciabatta et al. https://doi.org/10.1016/j.jhydrol.2016.12.057
36. Passive microwave-based diagnostics of medicanes over the period 2000–2021 V. Di Francesca et al. https://doi.org/10.1016/j.atmosres.2025.107922
37. Stratiform/convective rain delineation for TRMM microwave imager T. Islam et al. https://doi.org/10.1016/j.jastp.2015.07.009
38. Beyond the Pixel: Using Patterns and Multiscale Spatial Information to Improve the Retrieval of Precipitation from Spaceborne Passive Microwave Imagers C. Guilloteau & E. Foufoula-Georgiou https://doi.org/10.1175/JTECH-D-19-0067.1
39. 风云气象卫星光学遥感数据的智能处理与典型应用综述（特邀） 罗. Luo Chuyao et al. https://doi.org/10.3788/AOS241175
40. The Passive Microwave Neural Network Precipitation Retrieval Algorithm for Climate Applications (PNPR-CLIM): Design and Verification L. Bagaglini et al. https://doi.org/10.3390/rs13091701
41. Neural network algorithm for precipitation estimation from atms radiometer data A. Filei & A. Andreev https://doi.org/10.31857/S0205961424040019
42. Precipitation Retrievals from Passive Microwave Cross-Track Sensors: The Precipitation Retrieval and Profiling Scheme C. Kidd et al. https://doi.org/10.3390/rs13050947
43. Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements X. Li et al. https://doi.org/10.5194/amt-14-7007-2021
44. Can severe rain events over the Mediterranean region be detected through simple numerical indices? B. Ziv et al. https://doi.org/10.1007/s11069-016-2385-y
45. The Cloud Dynamics and Radiation Database Algorithm for AMSR2: Exploitation of the GPM Observational Dataset for Operational Applications D. Casella et al. https://doi.org/10.1109/JSTARS.2017.2713485
46. A Comparison of Different Regression Algorithms for Downscaling Monthly Satellite-Based Precipitation over North China W. Jing et al. https://doi.org/10.3390/rs8100835
47. Multiscale and Multilevel Feature Fusion Network for Quantitative Precipitation Estimation With Passive Microwave Z. Wang et al. https://doi.org/10.1109/TGRS.2024.3396379
48. Mapping Fine Spatial Resolution Precipitation from TRMM Precipitation Datasets Using an Ensemble Learning Method and MODIS Optical Products in China X. Zhao et al. https://doi.org/10.3390/su9101912
49. A novel algorithm for detection of precipitation in tropical regions using PMW radiometers D. Casella et al. https://doi.org/10.5194/amt-8-1217-2015
50. Novel SVM-based technique to improve rainfall estimation over the Mediterranean region (north of Algeria) using the multispectral MSG SEVIRI imagery M. Sehad et al. https://doi.org/10.1016/j.asr.2016.11.042
51. A First Step towards Meteosat Third Generation Day-2 Precipitation Rate Product: Deep Learning for Precipitation Rate Retrieval from Geostationary Infrared Measurements L. D’Adderio et al. https://doi.org/10.3390/rs15245662