Auligné, T., A. P. McNally, and D. P. Dee, 2007: Adaptive bias correction for satellite data in a numerical weather prediction system. Quart. J. Roy. Meteor. Soc., 133, 631−642, https://doi.org/10.1002/qj.56.
Bauer, P., E. Moreau, F. Chevallier, and U. O'keeffe, 2006: Multiple‐scattering microwave radiative transfer for data assimilation applications. Quart. J. Roy. Meteor. Soc., 132, 1259−1281, https://doi.org/10.1256/qj.05.153.
Bennartz, R., A. Thoss, A. Dybbroe, and D. B. Michelson, 2002: Precipitation analysis using the advanced microwave sounding unit in support of nowcasting applications. Meteorological Applications, 9, 177−189, https://doi.org/10.1017/S1350482702002037.
Bormann, N., D. Duncan, S. English, S. Healy, K. Lonitz, K. Y. Chen, H. Lawrence, and Q. F. Lu, 2021: Growing operational use of FY-3 data in the ECMWF system. Adv. Atmos. Sci., in press, https://doi.org/10.1007/s00376-020-0207-3.
Candy, B., and S. Migliorini, 2021: The assimilation of microwave humidity sounder observations in all-sky conditions. Quart. J. Roy. Meteor. Soc., in press, https://doi.org/10.1002/qj.4115.
Carminati, F., B. Candy, W. Bell, and N. Atkinson, 2018: Assessment and assimilation of FY-3 humidity sounders and imager in the UK Met Office global model. Adv. Atmos. Sci., 35(8), 942−954, https://doi.org/10.1007/s00376-018-7266-8.
Carminati, F., N. Atkinson, B. Candy, and Q. F. Lu, 2020: Insights into the microwave instruments onboard the Feng-Yun 3D satellite: Data quality and assimilation in the met office NWP system. Adv. Atmos. Sci., in press, https://doi.org/10.1007/s00376-020-0010-1.
Chen, R. Y., and R. Bennartz, 2020: Sensitivity of 89-190-GHz microwave observations to ice particle scattering. J. Appl. Meteor. Climatol., 59, 1195−1215, https://doi.org/10.1175/JAMC-D-19-0293.1.
Courtier, P., J.-N. Thépaut, and A. Hollingsworth, 1994: A strategy for operational implementation of 4D‐Var, using an incremental approach. Quart. J. Roy. Meteor. Soc., 120, 1367−1387, https://doi.org/10.1002/qj.49712051912.
Duncan, D. I., and N. Bormann, 2020. On the addition of microwave sounders and NWP skill, including assessment of FY-3D sounders. European Centre for Medium-Range Weather Forecasts. Available from https://www.ecmwf.int/sites/default/files/elibrary/2020/19760-addition-microwave-sounders-and-nwp-skill-including-assessment-fy-3d-sounders.pdf
English, S. J., J. R. Eyre, and J. A. Smith, 1999: A cloud-detection scheme for use with satellite sounding radiances in the context of data assimilation for numerical weather prediction. Quart. J. Roy. Meteor. Soc., 125, 2359−2378, https://doi.org/10.1002/qj.49712555902.
Geer, A. J., F. Baordo, N. Bormann, and S. J. English, 2014: All-sky assimilation of microwave humidity sounders. European Centre for Medium-Range Weather Forecasts. Available from https://www.ecmwf.int/en/elibrary/9507-all-sky-assimilation-microwave-humidity-sounders.
He, J. Y., S. W. Zhang, and Z. Z. Wang, 2015: Advanced microwave atmospheric sounder (AMAS) channel specifications and T/V calibration results on FY-3C satellite. IEEE Trans. Geosci. Remote Sens., 53, 481−493, https://doi.org/10.1109/TGRS.2014.2324173.
Ingleby, N. B., A. C. Lorenc, K. Ngan, F. Rawlins, and D. R. Jackson, 2013: Improved variational analyses using a nonlinear humidity control variable. Quart. J. Roy. Meteor. Soc., 139, 1875−1887, https://doi.org/10.1002/qj.2073.
Lawrence, H., and Coauthors, 2017: An evaluation of FY-3C MWRI and assessment of the long-term quality of FY-3C MWHS-2 at ECMWF and the met office. European Centre for Medium-Range Weather Forecasts. Available from https://www.ecmwf.int/sites/default/files/elibrary/2017/17206-evaluation-fy-3c-mwri-and-assessment-long-term-quality-fy-3c-mwhs-2-ecmwf-and-met-office.pdf.
Lawrence, H., N. Bormann, A. J. Geer, Q. F. Lu, and S. J. English, 2018: Evaluation and assimilation of the microwave sounder MWHS-2 onboard FY-3C in the ECMWF numerical weather prediction system. IEEE Trans. Geosci. Remote Sens., 56, 3333−3349, https://doi.org/10.1109/TGRS.2018.2798292.
Lorenc, A. C., and Coauthors, 2000: The Met. Office global three‐dimensional variational data assimilation scheme. Quart. J. Roy. Meteor. Soc., 126, 2991−3012, https://doi.org/10.1002/qj.49712657002.
Lorenc, A. C., N. E. Bowler, A. M. Clayton, S. R. Pring, and D. Fairbairn, 2015: Comparison of hybrid-4DEnVar and hybrid-4DVar data assimilation methods for global NWP. Mon. Wea. Rev., 143, 212−229, https://doi.org/10.1175/MWR-D-14-00195.1.
Lu, Q. F., and Coauthors, 2015: An evaluation of FY-3C satellite data quality at ECMWF and the Met Office. European Centre for Medium-Range Weather Forecasts Tech. Memo., England, 767 pp. https://www.ecmwf.int/en/elibrary/14692-evaluation-fy-3c-satellite-data-quality-ecmwf-and-met-office.
Lu, Q. F., and Coauthors, 2020: Monitoring the performance of the Fengyun satellite instruments using radiative transfer models and NWP fields. Journal of Quantitative Spectroscopy and Radiative Transfer, 255, 107239, https://doi.org/10.1016/j.jqsrt.2020.107239.
Migliorini, S., A. C. Lorenc, and W. Bell, 2018: A moisture‐incrementing operator for the assimilation of humidity‐and cloud‐sensitive observations: Formulation and preliminary results. Quart. J. Roy. Meteor. Soc., 144, 443−457, https://doi.org/10.1002/qj.3216.
Migliorini, S., and B. Candy, 2019: All‐sky satellite data assimilation of microwave temperature sounding channels at the Met Office. Quart. J. Roy. Meteor. Soc., 145, 867−883, https://doi.org/10.1002/qj.3470.
Rawlins, F., S. P. Ballard, K. J. Bovis, A. M. Clayton, D. Li, G. W. Inverarity, A. C. Lorenc, and T. J. Payne, 2007: The Met Office global four-dimensional variational data assimilation scheme. Quart. J. Roy. Meteor. Soc., 133, 347−362, https://doi.org/10.1002/qj.32.
Saunders, R. W., T. A. Blackmore, B. Candy, P. N. Francis, and T. J. Hewison, 2013: Monitoring satellite radiance biases using NWP models. IEEE Trans. Geosci. Remote Sens., 51, 1124−1138, https://doi.org/10.1109/TGRS.2012.2229283.
Saunders, R., and Coauthors, 2018: An update on the RTTOV fast radiative transfer model (currently at version 12). Geoscientific Model Development, 11, 2717−2737, https://doi.org/10.5194/gmd-11-2717-2018.
Saunders, R., and Coauthors, 2020. RTTOV-13 science and validation report. NWP SAF Report. Available from https://nwp-saf.eumetsat.int/site/download/documentation/rtm/docs_rttov13/rttov13_svr.pdf.
Saunders, R. W., T. A. Blackmore, B. Candy, P. N. Francis, and T. J. Hewison, 2021: Ten years of satellite infrared radiance monitoring with the met office NWP model. IEEE Trans. Geosci. Remote Sens., 59, 4561−4569, https://doi.org/10.1109/TGRS.2020.3015257.
Wang, X., and X. Li, 2014: Preliminary investigation of FengYun-3C Microwave Temperature Sounder (MWTS) measurements. Remote Sensing Letters, 5, 1002−1011, https://doi.org/10.1080/2150704X.2014.988305.
Zhang, P., and Coauthors, 2019: Latest progress of the Chinese meteorological satellite program and core data processing technologies. Adv. Atmos. Sci., 36, 1027−1045, https://doi.org/10.1007/s00376-019-8215-x.