11 citations as recorded by crossref.

1. The Cloud Dynamics and Radiation Database Algorithm for AMSR2: Exploitation of the GPM Observational Dataset for Operational Applications D. Casella et al. 10.1109/JSTARS.2017.2713485
2. CDRD and PNPR satellite passive microwave precipitation retrieval algorithms: EuroTRMM/EURAINSAT origins and H-SAF operations A. Mugnai et al. 10.5194/nhess-13-887-2013
3. The Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: description and application to European case studies P. Sanò et al. 10.5194/amt-8-837-2015
4. A prototype precipitation retrieval algorithm over land using passive microwave observations stratified by surface condition and precipitation vertical structure Y. You et al. 10.1002/2014JD022534
5. Transitioning From CRD to CDRD in Bayesian Retrieval of Rainfall From Satellite Passive Microwave Measurements: Part 2. Overcoming Database Profile Selection Ambiguity by Consideration of Meteorological Control on Microphysics D. Casella et al. 10.1109/TGRS.2013.2258161
6. Precipitation products from the hydrology SAF A. Mugnai et al. 10.5194/nhess-13-1959-2013
7. Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil L. Martins Costa do Amaral et al. 10.3390/rs10111743
8. The validation service of the hydrological SAF geostationary and polar satellite precipitation products S. Puca et al. 10.5194/nhess-14-871-2014
9. Synergistic multi-sensor and multi-frequency retrieval of cloud ice water path constrained by CloudSat collocations T. Islam & P. Srivastava 10.1016/j.jqsrt.2015.03.022
10. An observationally based method for stratifying a priori passive microwave observations in a Bayesian‐based precipitation retrieval framework F. Turk et al. 10.1002/qj.3203
11. 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. 10.5194/amt-9-5441-2016