11:30 AM - 11:45 AM
[ACG36-10] Current status of Level-2 algorithm for dual-frequency precipitation radar onboard GPM satellite
Keywords:Precipitation, Satellite
The Global Precipitation Measurement (GPM) core observatory was launched in February 2014. The dual-frequency precipitation radar (DPR) onboard GPM core observatory scans cross-track direction with a swath width of 245 km for Ku-band radar (KuPR) and 125 km for Ka-band radar (KaPR). The KaPR is consist of matched beam with KuPR centered nadir direction (MS) and interlaced scan with higher sensitivity (HS). The swath width of HS of KaPR has changed in June 2018 to match with outer swath of the KuPR.
The DPR product consist of three types of algorithms: single frequency (Ku only and Ka only) and dual frequency algorithms. The single frequency algorithm for KuPR is common with the Precipitation radar (PR) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite product after its version 7 of PR. The level-2 algorithm consists of several modules: Preparation module (PRE), Vertical profile module (VER), Classification module (CSF), Surface reference technique module (SRT), Drop size distribution module (DSD) and Solver module (SLV). The level-2 algorithm for DPR was prepared before the launch (Version 3) and revised in March 2016 (Version 4), May 2017 (Version 5) and October 2018 (Version 6). An experimental version (Version 6X) for full swath observation by both KuPR and KaPR after the scan pattern change in June 2018 is also developed. New version (Version 7) will be released June 2021. Recent papers explaining the DPR algorithm are listed below:
Seto, S., T. Iguchi, R. Meneghini, J. Awaka, T. Kubota, T. Masaki, and N. Takahashi, 2021: The Precipitation rate retrieval algorithms for the GPM Dual-frequency Precipitation Radar. J. Meteor. Soc. Japan, 99.
Meneghini, R., H. Kim, L. Liao, J. Kwiatkowski, and T. Iguchi, 2021: Path attenuation estimates for the GPM Dual-Frequency Precipitation Radar (DPR). J. Meteor. Soc. Japan, 99.
Le, M. and V. Chandrasekar, 2021: Graupel and hail identification algorithm for the Dual-Frequency Precipitation Radar (DPR) on the GPM core satellite. J. Meteor. Soc. Japan, 99.
Liao, L., R. Meneghini, A. Tokay, and H. Kim, 2020: Assessment of Ku- and Ka-band Dual-frequency radar for snow retrieval. J. Meteor. Soc. Japan, 98, 1129-1146.
Awaka, J., M. Le, V. Chandrasekar, N. Yoshida, T. Higashiuwatoko, T. Kubota, and T. Iguchi, 2016: Rain Type Classification Algorithm Module for GPM Dual-Frequency Precipitation Radar, J. Atmos. Oceanic Technol., 33, 1887–1898.
Awaka, J. and S. Brodzik, 2019: Improvements of GPM DPR rain type classification algorithm, IGARSS 2019, 4470–4472, doi: 10.1109/IGARSS.2019.8898365
Iguchi, T., N. Kawamoto and R. Oki, 2018: Detection of intense ice precipitation with GPM/DPR. J. Atmos. Oceanic Technol., 35, 491–502, DOI: 10.1175/JTECH-D-17- 0120.1.
Kubota, T., T.Iguchi, M. Kojima, L. Liao, T Masaki, H. Hanado, R. Meneghini, R. Oki, 2016: A statistical method for reducing sidelobe clutter for the Ku-band precipitation radar onboard the GPM Core Observatory, J. Atmos. Oceanic Technol., 33 (7), 1413-1428.
Kubota, T., T. Iguchi, T. Masaki, N. Yoshida, and R. Oki, 2018: Development of a statistical method for reducing sidelobe clutter in high sensitivity mode of GPM/KaPR, Proc. IGARSS2018, 8347-8348.
Kubota, T., S. Seto, M. Satoh, T. Nasuno, T. Iguchi, T. Masaki, J. M. Kwiatkowski, and R. Oki, 2020: Cloud assumption of Precipitation Retrieval Algorithms for the Dual-frequency Precipitation Radar, J. Atmos. Oceanic Technol.. 37(11), 2015-2031
The DPR product consist of three types of algorithms: single frequency (Ku only and Ka only) and dual frequency algorithms. The single frequency algorithm for KuPR is common with the Precipitation radar (PR) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite product after its version 7 of PR. The level-2 algorithm consists of several modules: Preparation module (PRE), Vertical profile module (VER), Classification module (CSF), Surface reference technique module (SRT), Drop size distribution module (DSD) and Solver module (SLV). The level-2 algorithm for DPR was prepared before the launch (Version 3) and revised in March 2016 (Version 4), May 2017 (Version 5) and October 2018 (Version 6). An experimental version (Version 6X) for full swath observation by both KuPR and KaPR after the scan pattern change in June 2018 is also developed. New version (Version 7) will be released June 2021. Recent papers explaining the DPR algorithm are listed below:
Seto, S., T. Iguchi, R. Meneghini, J. Awaka, T. Kubota, T. Masaki, and N. Takahashi, 2021: The Precipitation rate retrieval algorithms for the GPM Dual-frequency Precipitation Radar. J. Meteor. Soc. Japan, 99.
Meneghini, R., H. Kim, L. Liao, J. Kwiatkowski, and T. Iguchi, 2021: Path attenuation estimates for the GPM Dual-Frequency Precipitation Radar (DPR). J. Meteor. Soc. Japan, 99.
Le, M. and V. Chandrasekar, 2021: Graupel and hail identification algorithm for the Dual-Frequency Precipitation Radar (DPR) on the GPM core satellite. J. Meteor. Soc. Japan, 99.
Liao, L., R. Meneghini, A. Tokay, and H. Kim, 2020: Assessment of Ku- and Ka-band Dual-frequency radar for snow retrieval. J. Meteor. Soc. Japan, 98, 1129-1146.
Awaka, J., M. Le, V. Chandrasekar, N. Yoshida, T. Higashiuwatoko, T. Kubota, and T. Iguchi, 2016: Rain Type Classification Algorithm Module for GPM Dual-Frequency Precipitation Radar, J. Atmos. Oceanic Technol., 33, 1887–1898.
Awaka, J. and S. Brodzik, 2019: Improvements of GPM DPR rain type classification algorithm, IGARSS 2019, 4470–4472, doi: 10.1109/IGARSS.2019.8898365
Iguchi, T., N. Kawamoto and R. Oki, 2018: Detection of intense ice precipitation with GPM/DPR. J. Atmos. Oceanic Technol., 35, 491–502, DOI: 10.1175/JTECH-D-17- 0120.1.
Kubota, T., T.Iguchi, M. Kojima, L. Liao, T Masaki, H. Hanado, R. Meneghini, R. Oki, 2016: A statistical method for reducing sidelobe clutter for the Ku-band precipitation radar onboard the GPM Core Observatory, J. Atmos. Oceanic Technol., 33 (7), 1413-1428.
Kubota, T., T. Iguchi, T. Masaki, N. Yoshida, and R. Oki, 2018: Development of a statistical method for reducing sidelobe clutter in high sensitivity mode of GPM/KaPR, Proc. IGARSS2018, 8347-8348.
Kubota, T., S. Seto, M. Satoh, T. Nasuno, T. Iguchi, T. Masaki, J. M. Kwiatkowski, and R. Oki, 2020: Cloud assumption of Precipitation Retrieval Algorithms for the Dual-frequency Precipitation Radar, J. Atmos. Oceanic Technol.. 37(11), 2015-2031