26 citations as recorded by crossref.

1. Application of Ground-Based Microwave Radiometers to Optimize the Estimation Method of Cloud Liquid Water on the Tibetan Plateau Y. Liu et al.
2. Retrieving atmospheric thermodynamic and hydrometeor profiles using a thermodynamic-constrained Kalman filter 1D-Var framework based on ground-based microwave radiometer Q. Zhang et al.
3. Improving the representation of the atmospheric boundary layer by direct assimilation of ground‐based microwave radiometer observations J. Vural et al.
4. Assimilation of Raman lidar profiles in an operational, convective‐scale numerical weather prediction model B. Crezee et al.
5. Enhanced Boundary Layer Thermodynamics Profiles Retrieval From Ground-Based Microwave Radiometers With Surface and Pseudo-Tower Constraints D. Fu et al.
6. RTTOV-gb v1.0 – updates on sensors, absorption models, uncertainty, and availability D. Cimini et al.
7. An enhanced retrieval of the wet tropospheric correction for Sentinel-3 using dynamic inputs from ERA5 T. Vieira et al.
8. EUMETNET opens to microwave radiometers for operational thermodynamical profiling in Europe R. Rüfenacht et al.
9. Instrument uncertainties of network-suitable ground-based microwave radiometers: overview, quantification, and mitigation strategies T. Böck et al.
10. Towards the use of conservative thermodynamic variables in data assimilation: a case study using ground-based microwave radiometer measurements P. Marquet et al.
11. Direct assimilation of ground-based microwave radiometer observations with machine learning bias correction based on developments of RTTOV-gb v1.0 and WRFDA v4.5 Q. Zheng et al.
12. Uncertainty of atmospheric microwave absorption model: impact on ground-based radiometer simulations and retrievals D. Cimini et al.
13. Combining ground-based microwave radiometer and the AROME convective scale model through 1DVAR retrievals in complex terrain: an Alpine valley case study P. Martinet et al.
14. Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation F. Carminati et al.
15. Synergy of Satellite- and Ground-Based Observations for Continuous Monitoring of Atmospheric Stability, Liquid Water Path, and Integrated Water Vapor: Theoretical Evaluations Using Reanalysis and Neural Networks M. Toporov & U. Löhnert
16. How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al.
17. An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties A. Bell et al.
18. Evaluation of Ground-Based Upward-Looking Microwave Radiometer Brightness Temperature Observations and Assessment of Machine Learning-Based Methods for Retrieving Atmospheric Profiles and Their Application for Studying the Evolution of the Atmospheric Boundary Layer M. Mishra & P. Thapliyal
19. Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations: a 1D-Var study P. Martinet et al.
20. Direct Assimilation of Ground-Based Microwave Radiometer Clear-Sky Radiance Data and Its Impact on the Forecast of Heavy Rainfall Y. Cao et al.
21. 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.
22. Wind Profile Retrieval Based on LSTM Algorithm and Mobile Observation of Brightness Temperature over the Tibetan Plateau B. Chen et al.
23. Measurement uncertainties of scanning microwave radiometers and their influence on temperature profiling T. Böck et al.
24. PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al.
25. Development of a fast radiative transfer model for ground-based microwave radiometers (ARMS-gb v1.0): validation and comparison to RTTOV-gb Y. Shi et al.
26. Long-term observations minus background monitoring of ground-based brightness temperatures from a microwave radiometer network F. De Angelis et al.