edu.ucar.opensky::articles:42552 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T18:02:02.181267 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7h999j6 https://doi.org/10.20350/DIGITALCSIC/16137 https Related Dataset #1 resPrf https://doi.org/10.20350/digitalCSIC/16137 https Related Dataset #2 resPrf https://doi.org/10.5065/fv7s-ax27 https Related Dataset #3 TSX Data Products https://doi.org/10.5065/k9vg-t494 https Related Dataset #4 PAZ Data Products https://doi.org/10.5067/GPM/ATMS/NPP/1C/07 https Related Dataset #5 GPM ATMS on SUOMI-NPP Common Calibrated Brightness Temperature L1C 1.5 hours 16 km V07 https://doi.org/10.5067/GPM/GMI/GPM/1C/07 https Related Dataset #6 GPM GMI Common Calibrated Brightness Temperatures Collocated L1C 1.5 hours 13 km V07 https://doi.org/10.5067/GPM/IMERG/3B-HH/07 https Related Dataset #7 GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 https://doi.org/10.5067/GPM/MHS/METOPB/1C/07 https Related Dataset #8 GPM MHS on METOP-B Common Calibrated Brightness Temperature L1C 1.5 hours 17 km V07 https://doi.org/10.5067/GPM/SAPHIR/MT1/1C/07 https Related Dataset #9 GPM SAPHIR on MT1 Common Calibrated Brightness Temperature L1C 1.5 hours 10 km V07 https://doi.org/10.5067/GPM/SSMIS/F16/1C/07 https Related Dataset #10 GPM SSMIS on F16 Common Calibrated Brightness Temperatures L1C 1.5 hours 12 km V07 https://doi.org/10.5067/GPM/SSMIS/F17/1C/07 https Related Dataset #11 GPM SSMIS on F17 Common Calibrated Brightness Temperatures L1C 1.5 hours 12 km V07 https://doi.org/10.5067/GPM/SSMIS/F18/1C/07 https Related Dataset #12 GPM SSMIS on F18 Common Calibrated Brightness Temperatures L1C 1.5 hours 12 km V07 https://doi.org/10.5067/P4HZB9N27EKU https Related Dataset #13 NCEP/CPC L3 Half Hourly 4km Global (60S - 60N) Merged IR V1 https://doi.org/10.5065/D6H70CW6 https Related Software #1 Unidata NetCDF The PAZ polarimetric radio occultation research dataset for scientific applications 2024-12-01T00:00:00Z publication https://n2t.net/ark:/85065/d7h999j6 https://doi.org/10.5194/essd-16-5643-2024 Padullés, R. author Cardellach, E. author Paz, A. author Oliveras, S. author Hunt, Douglas C. author Sokolovskiy, Sergey author Weiss, Jan-Peter author Wang, K. author Turk, F. J. author Ao, C. O. author de la Torre Juárez, M. author UCAR/NCAR - Library publisher Polarimetric radio occultations (PROs) represent an augmentation of the standard radio occultation (RO) technique that provides precipitation and cloud vertical information along with the standard thermodynamic products. A combined dataset that contains both the PRO observable retrievals and the RO standard retrievals, the resPrf, has been developed with the aim of fostering the use of these unique observations and fully exploiting the scientific implication of having information about vertical cloud structures with an intrinsically collocated thermodynamic state of the atmosphere. This paper describes such a dataset and provides detailed information on the processing of the observations. The procedure followed at the University Corporation for Atmospheric Research (UCAR) to combine both horizontal (H) and vertical (V) observations to generate profiles equivalent to those in standard RO missions is described in detail, and the obtained refractivity is shown to be of equivalent quality compared to that from TerraSAR-X. The steps for the processing of the PRO observations are detailed, derived products such as the top of the signal are described, and validation is provided. Furthermore, the dataset contains the simulated ray trajectories for the PRO observation and collocated information with global satellite-based precipitation products, such as merged rain rate retrievals or passive microwave observations. These collocations are used for further validation of the PRO observations, and they are also provided within the resPrf profiles for additional use. It is also shown how accounting for external collocated information can significantly improve the effective PRO horizontal resolution, tackling one of the challenges of the technique. The resPrf dataset is publicly available at https://doi.org/10.20350/digitalCSIC/16137 (Padullés et al., 2024). UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation