volume | PIER Journals

Abstract

Tropical cyclone (TC) is part of the most serious natural disasters. Western Pacific is the region with the highest frequency of tropical cyclones (TCs). By simulating and correcting the brightness temperatures (TBs) of the microwave humidity and temperature sounder (MWHTS) onboard the Fengyun-3C (FY-3C) satellite, a method is proposed to observe the TCs in the Western Pacific. The Weather Research and Forecasting Model (WRF) and the fast Radiative Transfer model for TOVS (RTTOV) are adopted in our method. Then, simulated TBs are linearly corrected based on the field-of-views (FOVs), channels and latitude bands. After that, the biases of all channels are within 2 K and close to zero, and the RMSEs are less than 10-K except Channels 10 and 15. Therefore, this WRF/RTTOV method can be implemented in other TCs in the Western Pacific region. In addition, a precipitation detection algorithm is proposed and used to detect precipitation in the TC area. Compared with the FY-3C MWHTS and Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) precipitation products, the results indicate that our precipitation detection algorithm has reached better indicators. The potential application can lay a foundation for precipitation rate retrieval and further research.

1., Available online: https://en.wikipedia.org/wiki/Tropical_cyclone (accessed on Oct. 9, 2018). Google Scholar

2. Mitchell, T., D. Guha-Sapir, J. Hall, E. Lovell, R. Muir-Wood, A. Norris, L. Scott, and P. Wallemacq, "Setting, measuring and monitoring targets for reducing disaster risk," Recommendations for Post-2015 International Policy Frameworks, ODI, 2014.
doi:10.1109/IGARSS.2015.7326569 Google Scholar

3. Zhang, Y., H. Liu, J. Wu, J. He, and C. Zhang, "In target brightness temperature simulation and analysis for the geostationary interferometric microwave sounder (GIMS)," 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3477-3480, IEEE, 2015.
doi:10.1109/IGARSS.2016.7729105 Google Scholar

4. Zhang, Y., H. Liu, J. Wu, C. Zhang, and J. He, "In analysis and simulation of GIMS observation on dynamic targets," 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 426-429, IEEE, 2016.
doi:10.3390/jimaging2020017 Google Scholar

5. Camps, A., H. Park, J. Bandeiras, J. Barbosa, A. Sousa, S. d’Addio, and M. Martin-Neira, "Microwave imaging radiometers by aperture synthesis - Performance simulator (Part 1): Radiative transfer module," Journal of Imaging, Vol. 2, 17, 2016.
doi:10.1109/TGRS.2014.2363682 Google Scholar

6. He, J., S. Zhang, and Z. Wang, "Advanced microwave atmospheric sounder (AMAS) channel specifications and T/V calibration results on FY-3C satellite," IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 481-493, 2015.
doi:10.1109/IGARSS.2012.6350423 Google Scholar

7. Zhang, S., J. Li, Z. Wang, H. Wang, M. Sun, J. Jiang, and J. He, "In design of the second generation microwave humidity sounder (MWHS-II) for chinese meteorological satellite FY-3," 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS),, 4672-4675, IEEE, 2012.
doi:10.1109/IGARSS.2017.8128002 Google Scholar

8. Li, N., J. He, S. Zhang, and N. Lu, "In rainfall retrievals using 118 GHz and 183 GHz channels of MWHS-II on FY-3C meteorological satellite," 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 4505-4508, IEEE, 2017. Google Scholar

9. Chen, Y., F. Weng, Y. Han, and Q. Liu, "Validation of the community radiative transfer model by using cloudsat data," Journal of Geophysical Research: Atmospheres, 113, 2008. Google Scholar

10. Han, Y., P. van Delst, F. Weng, Q. Liu, D. Groff, B. Yan, Y. Chen, and R. Vogel, "In an overview on the JCSDA community radiative transfer model (CRTM) Version 2," Proc. 6th Annu. Symp. Future Nat. Oper. Environ. Satellite Syst.-NPOESS GOES-R, 2010. Google Scholar

11. Van Delst, P., Crtm: V2. 0 User Guide. Joint Center for Satellite Data Assimilation, Camp Springs, 2011.
doi:10.1175/1520-0493(1999)127<2027:LSPAWT>2.0.CO;2

12. Ritchie, E. A. and G. J. Holland, "Large-scale patterns associated with tropical cyclogenesis in the western pacific," Monthly Weather Review, 2027-2043, 1999. Google Scholar

13., Available online: http://weather.unisys.com/hurricanes/search (accessed on Oct. 9, 2018). Google Scholar

14., Available online: https://rda.ucar.edu/datasets/ds083.2/(accessed on Oct. 9, 2018). Google Scholar

15. Zhao, T., C. Fu, Z. Ke, and W. Guo, "Global atmosphere reanalysis datasets: Current status and recent advances," Advances in Earth Science, Vol. 3, 2, 2010. Google Scholar

16. "A description of the advanced research WRF Version 3,", Tech. Note, 1–96, 2008.
doi:10.1016/j.jcp.2007.01.037 Google Scholar

17. Skamarock, W. C. and J. B. Klemp, "A time-split nonhydrostatic atmospheric model for weather research and forecasting applications," Journal of Computational Physics, Vol. 227, 3465-3485, 2008.
doi:10.1016/j.jcp.2007.01.037 Google Scholar

18., Available online: http://www2.mmm.ucar.edu/wrf/users/(accessed on Oct. 9, 2018). Google Scholar

19. Hocking, J., P. Rayer, D. Rundle, R. Saunders, M. Matricardi, A. Geer, P. Brunel, and J. Vidot, "Rttov v11 Users Guide," Met Office, Exeter, UK; ECMWF, 2015.
doi:10.1175/JTECH-D-11-00023.1 Google Scholar

20. Zou, X., X. Wang, F. Weng, and G. Li, "Assessments of Chinese Fengyun microwave temperature sounder (MWTS) measurements for weather and climate applications," Journal of Atmospheric and Oceanic Technology, Vol. 28, 1206-1227, 2011. Google Scholar

21. Hong, S.-Y. and J.-O. J. Lim, "The WRF single-moment 6-class microphysics scheme (WSM6)," J. Korean Meteor. Soc., Vol. 42, 129-151, 2006.
doi:10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2 Google Scholar

22. Kain, J. S., "The Kain-Fritsch convective parameterization: An update," Journal of Applied Meteorology, Vol. 43, 170-181, 2004.
doi:10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2 Google Scholar

23. Dudhia, J., "Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model," Journal of the Atmospheric Sciences, Vol. 46, 3077-3107, 1989.
doi:10.1029/97JD00237 Google Scholar

24. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, "Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave," Journal of Geophysical Research: Atmospheres, Vol. 102, 16663-16682, 1997.
doi:10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2 Google Scholar

25. Chen, F. and J. Dudhia, "Coupling an advanced land surface - hydrology model with the penn state - NCAR MM5 modeling system. Part I: Model implementation and sensitivity," Monthly Weather Review, Vol. 129, 569-585, 2001. Google Scholar

26. Tewari, M., F. Chen, W. Wang, J. Dudhia, M. LeMone, K. Mitchell, M. Ek, G. Gayno, J. Wegiel, and R. Cuenca, "Implementation and verification of the unified noah land surface model in the WRF model," 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction, 2004.
doi:10.1175/MWR3199.1 Google Scholar

27. Hong, S.-Y., Y. Noh, and J. Dudhia, "A new vertical diffusion package with an explicit treatment of entrainment processes," Monthly Weather Review, Vol. 134, 2318-2341, 2006. Google Scholar

28. Shimadera, H., A. Kondo, K. L. Shrestha, K. Kitaoka, and Y. Inoue, "Numerical evaluation of the impact of urbanization on summertime precipitation in Osaka, Japan," Advances in Meteorology, 2015.
doi:10.1002/qj.49712757418 Google Scholar

29. Harris, B. and G. Kelly, "A satellite radiance-bias correction scheme for data assimilation," Quarterly Journal of the Royal Meteorological Society, Vol. 127, 1453-1468, 2001.
doi:10.1109/TGRS.2002.808312 Google Scholar

30. Wilheit, T., C. D. Kummerow, and R. Ferraro, "Nasdarainfall algorithms for AMSR-E," IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, 204-214, 2003.
doi:10.1029/91JD00045 Google Scholar

31. Grody, N. C., "Classification of snow cover and precipitation using the special sensor microwave imager," Journal of Geophysical Research: Atmospheres, Vol. 96, 7423-7435, 1991. Google Scholar

32. Li, N., J. He, S. Zhang, and N. Lu, "Global precipitation detection based on MWHS-II from China FY-3C meteorological satellite," 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 923-926, IEEE, 2018.
doi:10.1002/2013WR014566 Google Scholar

33. Behrangi, A., Y. Tian, B. H. Lambrigtsen, and G. L. Stephens, "What does cloudsat reveal about global land precipitation detection by other spaceborne sensors?," Water Resources Research, Vol. 50, 4893-4905, 2014.
doi:10.1109/JSTARS.2017.2672786 Google Scholar

34. Wang, W., H. Lu, T. Zhao, L. Jiang, and J. Shi, "Evaluation and comparison of daily rainfall from latest GPM and TRMM products over the mekong river basin," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, 2540-2549, 2017.
doi:10.1109/LGRS.2017.2666814 Google Scholar

35. Yamamoto, M. K., I. Tanaka, and S. Shige, "Improvement of the rain/no-rain classification method for microwave radiometers over the tibetan plateau," IEEE Geoscience and Remote Sensing Letters, Vol. 14, 626-630, 2017.
doi:10.5194/hess-15-2649-2011 Google Scholar

36. Scheel, M., M. Rohrer, C. Huggel, D. S. Villar, E. Silvestre, and G. Huffman, "Evaluation of trmm multi-satellite precipitation analysis (TMPA) performance in the central andes region and its dependency on spatial and temporal resolution," Hydrology and Earth System Sciences, Vol. 15, 2649-2663, 2011.
doi:10.5194/hess-18-3179-2014 Google Scholar

37. Ochoa, A., L. Pineda, P. Crespo, and P. Willems, "Evaluation of trmm 3b42 precipitation estimates and wrf retrospective precipitation simulation over the Pacific-Andean region of ecuador and peru," Hydrology and Earth System Sciences, Vol. 18, 3179-3193, 2014.
doi:10.1002/2013JD019964 Google Scholar

38. Chen, S., Y. Hong, Q. Cao, J. J. Gourley, P. E. Kirstetter, B. Yong, Y. Tian, Z. Zhang, Y. Shen, and J. Hu, "Similarity and difference of the two successive v6 and v7 TRMM multisatellite precipitation analysis performance over China," Journal of Geophysical Research: Atmospheres, Vol. 118, 13060-13074, 2013. Google Scholar

Dr. Na Li

Dr. Shengwei Zhang

Prof. Jieying He