99 citations as recorded by crossref.

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2. A review of sources of systematic errors and uncertainties in observations and simulations at 183 GHz H. Brogniez et al. https://doi.org/10.5194/amt-9-2207-2016
3. First steps towards an all-sky assimilation framework for tropical cyclone event over Bay of Bengal region: Evaluation and assessment of GMI radiances R. Mangla et al. https://doi.org/10.1016/j.atmosres.2021.105564
4. A Parameterization of the Cloud Scattering Polarization Signal Derived From GPM Observations for Microwave Fast Radative Transfer Models V. Galligani et al. https://doi.org/10.1109/TGRS.2021.3049921
5. Multiple Hydrometeors All-Sky Microwave Radiance Assimilation in FV3GFS M. Tong et al. https://doi.org/10.1175/MWR-D-19-0231.1
6. Pilot EnKF assimilation of FY-4A AGRI All-sky upper-tropospheric water vapor radiances for a warm-sector heavy rainfall case in South China J. He et al. https://doi.org/10.1016/j.atmosres.2026.108934
7. Implementation of a Discrete Dipole Approximation Scattering Database Into Community Radiative Transfer Model I. Moradi et al. https://doi.org/10.1029/2022JD036957
8. All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud A. Geer et al. https://doi.org/10.5194/amt-12-4903-2019
9. Improved Modeling of Observation Error, Quality Control, and Bias Correction With Cloud Effects for Assimilating All-Sky FY-3G MWRI-RM Radiances Y. Wang et al. https://doi.org/10.1109/TGRS.2026.3699741
10. All-sky information content analysis for novel passive microwave instruments in the range from 23.8 to 874.4 GHz V. Grützun et al. https://doi.org/10.5194/amt-11-4217-2018
11. Impact of HY‐2B SMR radiance assimilation on CMA global medium‐range weather forecasts Z. Li & W. Han https://doi.org/10.1002/qj.4630
12. Multi-Channel Regression Inversion Method for Passive Remote Sensing of Ice Water Path in the Terahertz Band C. Weng et al. https://doi.org/10.3390/atmos10080437
13. Optimal Ice Particle Models of Different Cloud Types for Radiative Transfer Simulation at 183 GHz Frequency Band Z. Li et al. https://doi.org/10.3390/rs18010168
14. Vertical Inhomogeneity Effect of Frozen Hydrometeor Habits in All‐Sky Passive Microwave Simulations H. Xie et al. https://doi.org/10.1029/2020JD032817
15. Marine Cirrus Properties from Satellite Remote Sensing over the South China Sea: Spatiotemporal Variations and a Case Study H. Weng et al. https://doi.org/10.1007/s00376-025-4305-0
16. Airborne validation of radiative transfer modelling of ice clouds at millimetre and sub-millimetre wavelengths S. Fox et al. https://doi.org/10.5194/amt-12-1599-2019
17. The Framework for Assimilating All-Sky GPM Microwave Imager Brightness Temperature Data in the NASA GEOS Data Assimilation System M. Kim et al. https://doi.org/10.1175/MWR-D-19-0100.1
18. Evaluation of RTTOV-SCATT Performance With a Vector Discrete Ordinate Method for an Atmosphere Including Nonspherical Raindrops S. Wang et al. https://doi.org/10.1109/TGRS.2024.3470963
19. Information content on hydrometeors from millimeter and sub-millimeter wavelengths C. Birman et al. https://doi.org/10.1080/16000870.2016.1271562
20. Techniques and challenges in the assimilation of atmospheric water observations for numerical weather prediction towards convective scales R. Bannister et al. https://doi.org/10.1002/qj.3652
21. Extension of a Multisensor Satellite Radiance-Based Evaluation for Cloud System Resolving Models W. ROH & M. SATOH https://doi.org/10.2151/jmsj.2018-002
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23. Considering Various Multimoment Bulk Microphysics Schemes for Simulation of Passive Microwave Radiative Signatures J. Kim et al. https://doi.org/10.1109/TGRS.2022.3148404
24. Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures M. Brath et al. https://doi.org/10.5194/amt-11-611-2018
25. Synergistic approach of frozen hydrometeor retrievals: considerations on radiative transfer and model uncertainties in a simulated framework E. Villeneuve et al. https://doi.org/10.5194/amt-17-3567-2024
26. ZJU-AERO V0.5: an Accurate and Efficient Radar Operator designed for CMA-GFS/MESO with the capability to simulate non-spherical hydrometeors H. Xie et al. https://doi.org/10.5194/gmd-17-5657-2024
27. An ensemble machine-learning first-guess approach for physics-based retrieval of ice particle size distributions from multi-frequency radar, validated with CCREST-M aircraft observations A. Baran et al. https://doi.org/10.5194/amt-19-4367-2026
28. An Accelerated Vectorized Discrete Ordinate Method With Forward and Jacobian Modules Developed Toward Advanced Satellite Data Assimilation Y. Shi et al. https://doi.org/10.1109/TGRS.2026.3696360
29. Assessment of GPM high‐frequency microwave measurements with radiative transfer simulation under snowfall conditions M. Yin & G. Liu https://doi.org/10.1002/qj.3515
30. Microphysical properties of three types of snow clouds: implication for satellite snowfall retrievals H. Jeoung et al. https://doi.org/10.5194/acp-20-14491-2020
31. The impact of minute water droplet absorption on microwave satellite observation simulation Y. Feng et al. https://doi.org/10.1016/j.atmosres.2026.109077
32. Investigating the potential benefit to a mesoscale NWP model of a microwave sounder on board a geostationary satellite F. Duruisseau et al. https://doi.org/10.1002/qj.3070
33. A Nonspherical Cloud Scattering Database Using Aggregates of Roughened Bullet Rosettes Model for the Advanced Radiative Transfer Modeling System (ARMS) Z. Huang et al. https://doi.org/10.1007/s00376-024-4117-7
34. Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter‐Wave Radiometer Y. Liu et al. https://doi.org/10.1002/2017JD027892
35. On the microwave optical properties of randomly oriented ice hydrometeors P. Eriksson et al. https://doi.org/10.5194/amt-8-1913-2015
36. Calculating the millimetre‐wave scattering phase function of snowflakes using the self‐similar Rayleigh–Gans Approximation R. Hogan et al. https://doi.org/10.1002/qj.2968
37. A 1D Bayesian Inversion Applied to GPM Microwave Imager Observations: Sensitivity Studies M. BARREYAT et al. https://doi.org/10.2151/jmsj.2021-050
38. Remote sensing data assimilation A. Nair et al. https://doi.org/10.1080/02626667.2020.1761021
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40. Bulk hydrometeor optical properties for microwave and sub-millimetre radiative transfer in RTTOV-SCATT v13.0 A. Geer et al. https://doi.org/10.5194/gmd-14-7497-2021
41. The impact of an improved land cloud detection method on cold‐vortex precipitation forecasting F. Zhou et al. https://doi.org/10.1002/qj.70088
42. All‐sky satellite data assimilation at operational weather forecasting centres A. Geer et al. https://doi.org/10.1002/qj.3202
43. The State of Precipitation Measurements at Mid-to-High Latitudes L. Milani & C. Kidd https://doi.org/10.3390/atmos14111677
44. Assessing the impact of passive microwave cloudy and precipitating observations onto the three‐dimensional ensemble‐variational kilometer‐scale AROME numerical weather prediction system E. Chardon–Legrand et al. https://doi.org/10.1002/qj.70103
45. Towards the assimilation of all-sky microwave radiances from the SAPHIR humidity sounder in a limited area NWP model over tropical regions J. Guerbette et al. https://doi.org/10.3402/tellusa.v68.28620
46. Calculation of Ice Cloud Bulk Scattering Properties Based on Deep Reinforcement Learning K. Chen et al. https://doi.org/10.1109/LGRS.2024.3453654
47. Severe convection in the Mediterranean from microwave observations and a convection‐permitting model J. Rysman et al. https://doi.org/10.1002/qj.2611
48. Evaluation of Modeled Hyperspectral Infrared Spectra Against All‐Sky AIRS Observations Using Different Cloud Overlap Schemes T. Le et al. https://doi.org/10.1029/2022EA002245
49. Oversampling Reflectivity Observations From a Geostationary Precipitation Radar Satellite: Impact on Typhoon Forecasts Within a Perfect Model OSSE Framework J. Taylor et al. https://doi.org/10.1029/2020MS002332
50. Forward modeling of spaceborne radar observations I. Moradi et al. https://doi.org/10.5194/amt-19-549-2026
51. Assimilating FY3D‐MWRI 23.8 GHz observations in the CMA‐GFS 4DVAR system based on a pseudo All‐Sky data assimilation method H. Xie et al. https://doi.org/10.1002/qj.4544
52. Correlated observation error models for assimilating all-sky infrared radiances A. Geer https://doi.org/10.5194/amt-12-3629-2019
53. Towards an operational Ice Cloud Imager (ICI) retrieval product P. Eriksson et al. https://doi.org/10.5194/amt-13-53-2020
54. How radiative transfer models can support the future needs of earth-system forecasting and re-analysis S. English et al. https://doi.org/10.1016/j.jqsrt.2020.107044
55. An accurate and computationally cheap microwave scattering method for ice aggregates: the Independent Monomer Approximation K. McCusker et al. https://doi.org/10.1002/qj.3967
56. The applicability of physical optics in the millimetre and sub-millimetre spectral region. Part I: The ray tracing with diffraction on facets method A. Baran et al. https://doi.org/10.1016/j.jqsrt.2016.12.030
57. Passive Remote Sensing of Ice Cloud Properties at Terahertz Wavelengths Based on Genetic Algorithm L. Liu et al. https://doi.org/10.3390/rs13040735
58. Sensitivity of 89–190-GHz Microwave Observations to Ice Particle Scattering R. Chen & R. Bennartz https://doi.org/10.1175/JAMC-D-19-0293.1
59. Assimilating FY-4B AGRI Three Water Vapor Channels in Operational Shanghai Typhoon Model (SHTM) Using GSI-Based 3-DVar Approach Z. Niu et al. https://doi.org/10.1109/JSTARS.2024.3522056
60. All‐sky microwave humidity sounder assimilation in the Korean Integrated Model forecast system S. Lee et al. https://doi.org/10.1002/qj.3862
61. Developing an A Priori Database for Passive Microwave Snow Water Retrievals Over Ocean M. Yin & G. Liu https://doi.org/10.1002/2017JD027636
62. Combined IASI-NG and MWS Observations for the Retrieval of Cloud Liquid and Ice Water Path: A Deep Learning Artificial Intelligence Approach P. Mastro et al. https://doi.org/10.1109/JSTARS.2022.3166992
63. Towards more realistic hypotheses for the information content analysis of cloudy/precipitating situations – Application to a hyperspectral instrument in the microwave F. Aires et al. https://doi.org/10.1002/qj.3315
64. Meso-scale modelling and radiative transfer simulations of a snowfall event over France at microwaves for passive and active modes and evaluation with satellite observations V. Galligani et al. https://doi.org/10.5194/amt-8-1605-2015
65. An Improved Liquid Water Absorption Model at Microwave Frequencies for Supercooled Liquid Water Clouds D. Turner et al. https://doi.org/10.1175/JTECH-D-15-0074.1
66. Assimilation of Satellite Microwave Observations over the Rainbands of Tropical Cyclones I. Moradi et al. https://doi.org/10.1175/MWR-D-19-0341.1
67. PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere M. Mech et al. https://doi.org/10.5194/gmd-13-4229-2020
68. Interpretable All-Sky 4-D Wind Estimation From Geostationary Microwave Sounders via Deep Learning M. Liu et al. https://doi.org/10.1109/TGRS.2026.3702026
69. A 1D Bayesian inversion of microwave radiances using several radiative properties of solid hydrometeors M. Barreyat et al. https://doi.org/10.1002/asl.1142
70. Assessing the impact of different liquid water permittivity models on the fit between model and observations K. Lonitz & A. Geer https://doi.org/10.5194/amt-12-405-2019
71. Effects of Ice Particle Representation on Passive Microwave Precipitation Retrieval in a Bayesian Scheme S. Ringerud et al. https://doi.org/10.1109/TGRS.2018.2886063
72. Performance assessment of a triple-frequency spaceborne cloud–precipitation radar concept using a global cloud-resolving model J. Leinonen et al. https://doi.org/10.5194/amt-8-3493-2015
73. Use and impact of Arctic observations in the ECMWF Numerical Weather Prediction system H. Lawrence et al. https://doi.org/10.1002/qj.3628
74. The growing impact of satellite observations sensitive to humidity, cloud and precipitation A. Geer et al. https://doi.org/10.1002/qj.3172
75. Impact of ice aggregate parameters on microwave and sub-millimetre scattering properties R. Ekelund & P. Eriksson https://doi.org/10.1016/j.jqsrt.2018.11.013
76. Representing Precipitation Ice Species With Both Spherical and Nonspherical Particles for Radiative Transfer Modeling of Microphysics‐Consistent Cloud Microwave Scattering Properties S. Sieron et al. https://doi.org/10.1002/2017MS001226
77. Effects of Inhomogeneous Ice Particle Habit Distribution on Passive Microwave Radiative Transfer Simulations J. Kim et al. https://doi.org/10.1109/TGRS.2024.3349484
78. A mixing scheme of ice particle models for global ice cloud measurements B. Wu et al. https://doi.org/10.1016/j.rse.2024.114356
79. An update on the RTTOV fast radiative transfer model (currently at version 12) R. Saunders et al. https://doi.org/10.5194/gmd-11-2717-2018
80. On the accuracy of RTTOV-SCATT for radiative transfer at all-sky microwave and submillimeter frequencies V. Barlakas et al. https://doi.org/10.1016/j.jqsrt.2022.108137
81. Novel assessment of numerical forecasting model relative humidity with satellite probabilistic estimates C. Radice et al. https://doi.org/10.5194/acp-22-3811-2022
82. The applicability of physical optics in the millimetre and sub-millimetre spectral region. Part II: Application to a three-component model of ice cloud and its evaluation against the bulk single-scattering properties of various other aggregate models A. Baran et al. https://doi.org/10.1016/j.jqsrt.2017.10.027
83. Introducing hydrometeor orientation into all-sky microwave and submillimeter assimilation V. Barlakas et al. https://doi.org/10.5194/amt-14-3427-2021
84. Using passive and active observations at microwave and sub-millimetre wavelengths to constrain ice particle models R. Ekelund et al. https://doi.org/10.5194/amt-13-501-2020
85. Physical characteristics of frozen hydrometeors inferred with parameter estimation A. Geer https://doi.org/10.5194/amt-14-5369-2021
86. snowScatt 1.0: consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh–Gans approximation D. Ori et al. https://doi.org/10.5194/gmd-14-1511-2021
87. Assimilation of SSMIS humidity‐sounding channels in all‐sky conditions over land using a dynamic emissivity retrieval F. Baordo & A. Geer https://doi.org/10.1002/qj.2873
88. Sensitivity of Microwave Radiative Transfer Simulations to Cloud Microphysics Assumptions D. Kim et al. https://doi.org/10.1109/TGRS.2025.3632058
89. 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
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91. Shapes and Fall Orientations of Ice Particle Aggregates Z. Jiang et al. https://doi.org/10.1175/JAS-D-18-0251.1
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93. A polarimetric scattering database for non-spherical ice particles at microwave wavelengths Y. Lu et al. https://doi.org/10.5194/amt-9-5119-2016
94. Assessment and application of melting-layer simulations for spaceborne radars within the RTTOV-SCATT v13.1 model R. Mangla et al. https://doi.org/10.5194/amt-18-2751-2025
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96. Analysis and evaluation of WRF microphysical schemes for deep moist convection over south-eastern South America (SESA) using microwave satellite observations and radiative transfer simulations V. Galligani et al. https://doi.org/10.5194/amt-10-3627-2017
97. Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations V. Barlakas & P. Eriksson https://doi.org/10.3390/rs12030531
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