Bindlish, R., T. Jackson, R. J. Sun, M. Cosh, S. Yueh, and S. Dinardo, 2009: Combined passive and active microwave observations of soil moisture during CLASIC. IEEE Geoscience and Remote Sensing Letters, 6(4), 644−648, https://doi.org/10.1109/LGRS.2009.2028441.
Boccippio, D. J., S. J. Goodman, and S. Heckman, 2000: Regional differences in tropical lightning distributions. J. Appl. Meteor., 39, 2231−2248, https://doi.org/10.1175/1520-0450(2001)040<2231:RDITLD>2.0.CO;2.
Cao, D. J., X. S. Qie, S. Duan, Y. J. Xuan, and D. F. Wang, 2012: Lightning discharge process based on short-baseline lightning VHF radiation source locating system. Acta Physica Sinica, 61, 069202, https://doi.org/10.7498/aps.61.069202. (in Chinese with English abstract
Cao, D. J., F. Lu, X. H. Zhang, and Z. Q. Zhang, 2018: The FY-4A lightning mapper imager applications on convention monitoring. Satellite Application, 2018(11), 18−23.
Carey, L. D., and S. A. Rutledge, 1996: A multiparameter radar case study of the microphysical and kinematic evolution of a lightning producing storm. Meteor. Atmos. Phys., 59, 33−64, https://doi.org/10.1007/BF01032000.
Cecil, D. E., S. J. Goodman, D. J. Boccippio, E. J. Zipser, and S. W. Nesbitt, 2005: Three years of TRMM precipitation features. Part I: Radar, radiometric, and lightning characteristics. Mon. Wea. Rev., 133, 543−566, https://doi.org/10.1175/MWR-2876.1.
Cecil, D. J., D. E. Buechler, and R. J. Blakeslee, 2014: Gridded lightning climatology from TRMM-LIS and OTD: Dataset description. Atmospheric Research, 135−136, 404−414, https://doi.org/10.1016/j.atmosres.2012.06.028.
Chen S., 2008: GEO-Information Science, Higher Education Press, 531pp.
Christian, H. J., and Coauthors, 2003: Global frequency and distribution of lightning as observed from space by the Optical Transient Detector. J. Geophys. Res., 108(D1), ACL4-1−ACL4-15, https://doi.org/10.1029/2002JD002347.
DeMaria, M., R. T. DeMaria, J. A. Knaff, and D. Molenar, 2012: Tropical cyclone lightning and rapid intensity change. Mon. Wea. Rev., 140, 1828−1842, https://doi.org/10.1175/MWR-D-11-00236.1.
Du, J. Y., 2012: A method to improve satellite soil moisture retrievals based on Fourier analysis. Geophys. Res. Lett., 39, L15404, https://doi.org/10.1029/2012GL052435.
Entekhabi, D., and Coauthors, 2010: The soil moisture active passive (SMAP) mission. Proceedings of the IEEE, 98(5), 704−716, https://doi.org/10.1109/JPROC.2010.2043918.
Fang, Z. Y., and D. Y. Qin, 2006: A review of satellite observed heavy rainfall cloud clusters. Journal of Applied Meteorological Science, 17(5), 583−593, https://doi.org/10.3969/j.issn.1001-7313.2006.05.008. (in Chinese with English abstract
Florence, R., S. J. English, and R. Engelen, 2018: Satellite data assimilation at ECMWF. Proc. 98th American Meteorological Society Annual Meeting, https://ams.confex.com/ams/98Annual/webprogram/Paper327333.html.
Han, X. Z., J. Yang, S. H. Tang, and Y. Han, 2020: Vegetation products derived from Fengyun-3D medium resolution spectral imager-II. Journal of Meteorological Research, 34(4), 775−785, https://doi.org/10.1007/s13351-020-0027-5.
Holmes, T. R. H., R. A. M. De Jeu, M. Owe, and A. J. Dolman, 2009: Land surface temperature from Ka band (37 GHz) passive microwave observations. J. Geophys. Res., 114, D04113, https://doi.org/10.1029/2008JD010257.
Jackson, T. J., D. M. Le Vine, A. Y. Hsu, A. Oldak, P. J. Starks, C. T. Swift, J. D. Isham, and M. Haken, 1999: Soil moisture mapping at regional scales using microwave radiometry: The Southern Great Plains Hydrology Experiment. IEEE Trans. Geosci. Remote Sens., 37(5), 2136−2151, https://doi.org/10.1109/36.789610.
Jackson, T. J., M. H. Cosh, R. Bindlish, P. J. Starks, D. D. Bosch, M. Seyfried, M. S. Moran, and J. Y. Du, 2010: Validation of advanced microwave scanning radiometer soil moisture products. IEEE Trans. Geosci. Remote Sens., 48(12), 4256−4272, https://doi.org/10.1109/TGRS.2010.2051035.
Li, Y.-J., W. Zheng, J. Chen, and C. Liu, 2017: Fire monitoring and application based on meteorological satellite. Aerospace Shanghai, 34(4), 62−72, https://doi.org/10.19328/j.cnki.1006-1630.2017.04.008. (in Chinese with English abstract
Liu, C., Y. J. Li, C. H. Zhao, H. Yan, and H. M. Zhao, 2004: The method of evaluating sub-pixel size and temperature of fire spot in AVHRR data. Journal of Applied Meteorological Science, 15(3), 273−280, https://doi.org/10.3969/j.issn.1001-7313.2004.03.003. (in Chinese with English abstract
Liu, Q., J. Y. Du, J. C. Shi, and L. M. Jiang, 2013: Analysis of spatial distribution and multi-year trend of the remotely sensed soil moisture on the Tibetan Plateau. Science China Earth Sciences, 56(12), 2173−2185, https://doi.org/10.1007/s11430-013-4700-8.
Lu, N. M., and R. Z. Wu, 1997: Strong convective cloud characteristics derived from satellite cloud pictuer. Quarterly Journal of Applied Meteorology, 8(3), 269−275. (in Chinese with English abstract
Matson, M., and S. R. Schneider, 1984: Fire detection using the NOAA-Series satellite. NOAA Tech. Rep. Noaa: 19318, NESDIS.
Min M., and Coauthors, 2017: Developing the science product algorithm testbed for Chinese next-generation geostationary meteorological satellites: Fengyun-4 series. Journal of Meteorological Research, 31(4), 708−719, https://doi.org/10.1007/s13351-017-6161-z.
Min M., J. Li, F. Wang, Z. J. Liu, and W. P. Menzel, 2020: Retrieval of cloud top properties from advanced geostationary satellite imager measurements based on machine learning algorithms. Remote Sens. Environ., 239, 111616, https://doi.org/10.1016/j.rse.2019.111616.
Mo, T., B. J. Choudhury, T. J. Schmugge, J. R. Wang, and T. J. Jackson, 1982: A model for microwave emission from vegetation-covered fields. J. Geophys. Res., 87(C13), 1229−1237, https://doi.org/10.1029/JC087iC13p11229.
Qin, D. Y., Z. Y. Fang, and J. X. Jiang, 2005: The relationship between tropical water vapor plume and heavy rainfall during 20−25 July 2002. Acta Meteorologica Sinica, 63(4), 493−503, https://doi.org/10.3321/j.issn:0577-6619.2005.04.011. (in Chinese with English abstract
Ren, S. L., W. Zhao, D. J. Cao, and R. X. Liu, 2020: Application of FY-4A daytime convective storm and lightning products in analyzing severe thunderstorm weather in North China. Journal of Marine Meteorology, 40(1), 33−46, https://doi.org/10.19513/j.cnki.issn2096-3599.2020.01.004. (in Chinese with English abstract
Shi, J., L. Jiang, L. Zhang, K. S. Chen, J. P. Wigneron, A. Chanzy, and T. J. Jackson, 2006: Physically based estimation of bare-surface soil moisture with the passive radiometers. IEEE Trans. Geosci. Remote Sens., 44(11), 3145−3153, https://doi.org/10.1109/TGRS.2006.876706.
Sun, R. J., Y. P. Zhang, S. L. Wu, H. Yang, and J. Y. Du, 2014: The FY-3B/MWRI soil moisture product and its application in drought monitoring. Proc. 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, Canada, IEEE, 3296−3298, https://doi.org/10.1109/IGARSS.2014.6947184.
Wang, J. J., C. Liu, B. Yao, M. Min, H. Letu, Y. Yin, and Y. L. Yung, 2019: A multilayer cloud detection algorithm for the Suomi-NPP Visible Infrared Imager Radiometer Suite (VIIRS). Remote Sens. Environ., 227, 1−11, https://doi.org/10.1016/j.rse.2019.02.024.
Wu, X. D., Q. Xiao, J. G. Wen, D. Q. You, and A. Hueni, 2019: Advances in quantitative remote sensing product validation: Overview and current status. Earth-Science Reviews, 196, 102875, https://doi.org/10.1016/j.earscirev.2019.102875.
Xian D., J. M. Qian, Z. Xu, Y. Gao, and L. W. Liu, 2012: Classification of Meteorological Satellite Data (QX/T 158−2012). China Meteorological Press, 6 pp. (in Chinese)
Xian D., X. Fang, X. Jia, and C. Ying, 2020a: The FY-4 satellite weather application platform and its applications. Satellite Application(2), 20−24. (in Chinese)
Xian, D., P. Zhang, M. Fang, C. Liu, and X. Jia, 2020b: The first Fengyun satellite international user conference. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-020-2011-5.
Xu J. M., Yang J., Zhang Z. Q., and Sun A. L., 2010: Chinese Meteorological Satellite, Achievements and Applications. Meteorological Monthly, 36(7), 94−100, https://doi.org/10.7519/j.issn.1000-0526.2010.07.016.
Xu, W. X., S. A. Rutledge, and W. J. Zhang, 2017: Relationships between total lightning, deep convection, and tropical cyclone intensity change. J. Geophys. Res., 122, 7047−7063, https://doi.org/10.1002/2017JD027072.
Yang, J., 2012: Meteorological Satellite and Applications. China Meteorological Press, 770−775. (in Chinese)
Yang, J., D. Xian, and S. H. Tang, 2018: Latest progress and applications of the Fengyun meteorological satellite program. Satellite Application(11), 8−14, https://doi.org/10.3969/j.issn.1674-9030.2018.11.005. (in Chinese)
Yang, J., Z. Q. Zhang, C. Y. Wei, F. Lu, and Q. Guo, 2017: Introducing the new generation of Chinese geostationary weather satellites, Fengyun-4. Bull. Amer. Meteor. Soc., 98(8), 1637−1658, https://doi.org/10.1175/BAMS-D-16-0065.1.
Yang, L., Hu, X., Wang, H., He, X., Liu, P., Xu, N., Yang, Z., Zhang, P., 2020. Preliminary test of quantitative capability in aerosol retrieval over land from MERSI-II onboard Fengyun-3D. National Remote Sensing Bulletin, Published Online, http://dx.doi.org/10.11834/jrs.20200286.
Yang, Z. D., and Coauthors, 2019: Capability of Fengyun-3D satellite in earth system observation. Journal of Meteorological Research, 33(6), 1113−1130, https://doi.org/10.1007/s13351-019-9063-4.
Zhang, P., and Coauthors, 2019: Latest progress of the Chinese meteorological satellite program and core data processing technologies. Adv. Atmos. Sci., 36(9), 1027−1045, https://doi.org/10.1007/s00376-019-8215-x.
Zhang, P., and Coauthors, 2009: General introduction on payloads, ground segment and data application of Fengyun 3A. Front. Earth Sci. China., 3, 367−373, https://doi.org/10.1007/s11707-009-0036-2.
Zhang, P., and Coauthors, 2019a: General Comparison of FY-4A/AGRI with other GEO/LEO instruments and its potential and challenges in non-meteorological applications. Frontiers in Earth Science, 6, 224, https://doi.org/10.3389/feart.2018.00224.
Zhang, P., L. Chen, D. Xian, Z. Xu, and M. Guan, 2020a: Update on Fengyun meteorological satellite program and development. Chinese Journal of Space Science, 40(5), 884−897, https://doi.org/10.11728/cjss2020.05.884.
Zhang, X. Y., and Coauthors, 2020b: The development and application of satellite remote sensing for atmospheric compositions in China. Atmospheric Research, 245, 105056, https://doi.org/10.1016/j.atmosres.2020.105056.
Zheng, W., J. Chen, S. H. Tang, X. Q. Hu, and C. Liu, 2020: Fire monitoring based on FY-3D/MERSI-II far-infrared data. Journal of Infrared and Millimeter Waves, 39, 120−127, https://doi.org/10.11972/j.issn.1001-9014.2020.01.016. (in Chinese with English abstract