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References

Papers

When you use the GPM and GSMaP products, please refer the following papers.

GPM Project papers

Hou, A. Y., R. K. Kakar, S. Neeck, A. A. Azarbarzin, C. D. Kummerow, M. Kojima, R. Oki, K. Nakamura, and T. Iguchi, 2014: The Global Precipitation Measurement Mission, Bull. Amer. Meteor. Soc., 95(5), 701-722. https://doi.org/10.1175/BAMS-D-13-00164.1.
Skofronick-Jackson, G., W.A. Petersen, W. Berg, C. Kidd, E.F. Stocker, D.B. Kirschbaum, R. Kakar, S.A. Braun, G.J. Huffman, T. Iguchi, P.E. Kirstetter, C. Kummerow, R. Meneghini, R. Oki, W.S. Olson, Y.N. Takayabu, K. Furukawa, and T. Wilheit, 2017: The Global Precipitation Measurement (GPM) Mission for Science and Society. Bull. Amer. Meteor. Soc., 98, 1679–1695. https://doi.org/10.1175/BAMS-D-15-00306.1.

DPR sensor papers

Sensor specification
Kojima, M., T. Miura, K. Furukawa, Y. Hyakusoku, T. Ishikiri, H. Kai, T. Iguchi, H. Hanado, and K. Nakagawa, 2012: Dual-frequency Precipitation Radar (DPR) development on the Global Precipitation Measurement (GPM) core observatory. SPIE Proceedings, Vol. 8528: Earth Observing Missions and Sensors: Development, Implementation, and Characterization II. Shimoda, H., X. Xiong, C. Cao, X. Gu, C. Kim, A. S. K. Kumar (eds.), SPIE, 234–243. https://doi.org/10.1117/12.976823.
Iguchi, T., 2020: Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurement (GPM) mission's core observatory, Satellite precipitation measurement, Springer, 183-192. https://doi.org/10.1007/978-3-030-24568-9_11.
Calibration
T. Masaki, T. Iguchi, K. Kanemaru, K. Furukawa, N. Yoshida , T. Kubota, and R. Oki, 2020: Calibration of the Dual-frequency Precipitation Radar (DPR) Onboard the Global Precipitation Measurement (GPM) Core Observatory, IEEE Trans. Geosci. Remote Sens., 1-16. https://doi.org/10.1109/TGRS.2020.3039978.
Wide swath observation experiment
Yamamoto, K., T. Kubota, N. Takahashi, K. Kanemaru, T. Masaki and K. Furukawa, 2020: A Feasibility Study on Wide Swath Observation by Spaceborne Precipitation Radar, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 13, 3047-3057. https://doi.org/10.1109/JSTARS.2020.2998724.

DPR product papers

Precipitation Rate Retrieval Algorithm
S. Seto, T. Iguchi, R. Meneghini, J. Awaka,T. Kubota, T. Masaki and N. Takahashi, 2020: The Precipitation Rate Retrieval Algorithms for the GPM Dual-frequency Precipitation Radar, J. Meteor. Soc. Japan, 205-237. https://doi.org/10.2151/jmsj.2021-011.
Type classification (convective, stratiform, etc.) and Detection of bright band
J. Awaka, 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(9), 1887-1898. https://doi.org/10.1175/JTECH-D-16-0016.1.
Awaka, J., M. Le, S. Brodzik, T. Kubota, T. Masaki, V. Chandrasekar, and T.Iguchi, 2021: Development of precipitation type classification algorithms for a full scan mode of GPM Dual- Frequency Precipitation Radar. J. Meteor. Soc. Japan, 1-58, https://doi.org/10.2151/jmsj.2021-061.
Cloud assumption of the algorithm
T. Kubota, 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, 2015-2031. https://doi.org/10.1175/JTECH-D-20-0041.1.
Method for reducing side lobe clutter
T.Kubota, 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. https://doi.org/10.1175/JTECH-D-15-0202.1.
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. IGARSS 2018 - 2018 International Geoscience and Remote Sensing Symposium, Valencia, 2018, 8347-8348. https://doi.org/10.1109/IGARSS.2018.8519100.
Surface reference technique (SRT)
Meneghini, R., H. Kim, L. Liao, J. A. Jones, and J. M. Kwiatkowski, 2015: An initial assessment of the surface reference technique applied to data from the dual-frequency precipitation radar (DPR) on the GPM satellite, J. Atmos. Ocean. Technol., vol. 32, no. 12, 2281–2296. https://doi.org/10.1175/JTECH-D-15-0044.1.
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, 181-200. https://doi.org/10.2151/jmsj.2021-010.
Evaluation of at-launch algorithm
Kubota, T., N. Yoshida, S. Urita, T. Iguchi, S. Seto, R. Meneghini, J. Awaka, H. Hanado, S. Kida, and R. Oki, 2014: Evaluation of precipitation estimates by at-launch codes of GPM/DPR algorithms using synthetic data from TRMM/PR observations, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol.7, no.9, 3931-3944. https://doi.org/10.1109/JSTARS.2014.2320960.

DPR product validation paper

Oki, R., T. Iguchi, and K. Nakamura, 2020: The GPM DPR Validation Program. In: Satellite Precipitation Measurement, V.Levizzani, C. Kidd., D. B. Kirschbaum, C. D. Kummerow, K. Nakamura, F. J. Turk, Eds., Springer Nature, Cham, Advances in Global Change Research, 69, 503-514. https://doi.org/10.1007/978-3-030-35798-6_3.

DPR data assimilation papers

Okamoto, K., K. Aonashi, T. Kubota, T. Tashima, 2016: Experimental assimilation of the GPM-Core DPR reflectivity profiles for Typhoon Halong, Mon. Wea. Rev., 144 (6), 2307-2326. https://doi.org/10.1175/MWR-D-15-0399.1.
Ikuta, Y., K. Okamoto, and T. Kubota, 2021: One-Dimensional Maximum Likelihood Estimation for Spaceborne Precipitation Radar Data Assimilation, Q. J. R. Meteorol. Soc., 147, 735, 858-875. https://doi.org/10.1002/qj.3950.

GSMaP product papers

Reference paper
Kubota, T., K. Aonashi, T. Ushio, S. Shige, Y. N. Takayabu, M. Kachi, Y. Arai, T. Tashima, T. Masaki, N. Kawamoto, T. Mega, M. K. Yamamoto, A. Hamada, M. Yamaji, G. Liu and R. Oki 2020: Global Satellite Mapping of Precipitation (GSMaP) products in the GPM era, Satellite precipitation measurement, Springer, 355-373. https://doi.org/10.1007/978-3-030-24568-9_20.
Major papers related to GSMaP algorithms
Kubota, T., S. Shige, H. Hashizume, K. Aonashi, N. Takahashi, S. Seto, M. Hirose, Y. N. Takayabu, K. Nakagawa, K. Iwanami, T. Ushio, M. Kachi, and K. Okamoto, 2007: Global Precipitation Map using Satelliteborne Microwave Radiometers by the GSMaP Project : Production and Validation, IEEE Trans. Geosci. Remote Sens., 45, No. 7, 2259-2275. https://doi.org/10.1109/TGRS.2007.895337.
Aonashi, K., J. Awaka, M. Hirose, T. Kozu, T. Kubota, G. Liu, S. Shige, S., Kida, S. Seto, N.Takahashi, and Y. N. Takayabu, 2009: GSMaP passive, microwave precipitation retrieval algorithm: Algorithm description and validation. J. Meteor. Soc. Japan, 87A, 119-136. https://doi.org/10.2151/jmsj.87A.119.
T. Ushio, T. Kubota, S. Shige, K. Okamoto, K. Aonashi, T. Inoue, N., Takahashi, T. Iguchi, M.Kachi, R. Oki, T. Morimoto, and Z. Kawasaki, 2009: A Kalman filter approach to the Global Satellite Mapping of Precipitation (GSMaP) from combined passive microwave and infrared radiometric data. J. Meteor. Soc. Japan, 87A, 137-151. https://doi.org/10.2151/jmsj.87A.137.
Mega, T., T. Ushio, M. T. Matsuda, T. Kubota, M. Kachi, and R. Oki, 2019: Gauge-adjusted global satellite mapping of precipitation. IEEE Trans. Geosci. Remote Sens., 57.4, 1928-1935. https://doi.org/10.1109/TGRS.2018.2870199.
T. Tashima, T. Kubota, T. Mega, and T. Ushio, and R. Oki, 2020: Precipitation extremes monitoring using the near-real-time GSMaP product, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., 5640-5651. https://doi.org/10.1109/JSTARS.2020.3014881.

For more papers on GPM, please refer to here.

Special Edition on Global Precipitation Measurement (GPM): 5th Anniversary in J. Meteor. Soc. Japan
http://jmsj.metsoc.jp/special_issues_editions/GPM.html
Global Precipitation Measurement (GPM): Science and Applications in the AMS Journals (BAMS, JHM, JTECH, EI, MWR, and JAMC)
https://journals.ametsoc.org/collection/GPM-science
Precipitation Retrieval Algorithms for GPM in the AMS Journal (JTECH)
https://journals.ametsoc.org/collection/precip-retrieval-GPM

The collection of abbreviation and cases

The collection of abbreviation
The collection of cases