Abstract
This chapter presents the advantages of remote sensing in various aspects of tropical cycles or typhoons for the purpose of improved forecasts. A variety of variables influencing the typhoons become our concerns and sequentially investigated. First of all, to effectively predict the rainfall associated with a landfalling typhoon , the ground-based Global Positioning System (GPS) zenith total delay is combined with Doppler radar data through data assimilation algorithms. Subsequently, discussions on a natural phenomenon of interactions among two typhoons with and without tropical depressions (TDs) are elaborated. Remote sensing imagery and image processing techniques are applied to analyze relevant interactions and physical responses, including TDs’ appearance, development, interaction and how they merge. Then, the application of remote sensing observational data in numerical modeling for the study of atmospheric gravity waves, especially during the occurrence of asymmetric tropical cyclones is presented. Finally, a brief introduction is given to the oceanic surface wind measurement from different satellites with already demonstrated or potential impacts on typhoon simulations and predictions. Note that atmospheric and oceanic parameters derived from observations of Global Navigation Satellite System (GNSS) receivers onboard low Earth orbit (LEO) satellites, i.e., FORMOSAT-3/COSMIC and to-be-launched FORMOSAT-7/COSMIC-2, are also discussed within the selected topics. The importance of implementing remote sensing technology in the investigation and forecast of typhoons is the conclusion.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bennitt GV, Jupp A (2012) Operational assimilation of GPS zenith total delay observations into the Met Office numerical weather prediction models. Mon Weather Rev 140(8):2706–2719
Birkenheuer D, Gutman S (2005) A comparison of GOES moisture-derived product and GPS-IPW data during IHOP-2002. J Atmos Ocean Technol 22(11):1838–1845
Cámara A, Lott F, Hertzog A (2014) Intermittency in a stochastic parameterization of nonorographic gravity waves. J Geophys Res Atmos 119(21):11905–11919
Chane-Ming F, Roff G, Robert L, Leveau J (2002) Gravity wave characteristics over Tromelin Island during the passage of cyclone Hudah. Geophy Res Lett 29(6)
Chane-Ming F, Chen Z, Roux F (2010) Analysis of gravity-waves produced by intense tropical cyclones. Ann Geophys 2:531–547 (Copernicus GmbH)
Chane-Ming F, Ibrahim C, Barthe C, Jolivet S, Keckhut P, Liou Y-A, Kuleshov Y (2014) Observation and a numerical study of gravity waves during tropical cyclone Ivan (2008). Atmos Chem Phys 14(2):641–658
Chane-Ming F, Vignelles D, Jegou F, Berthet G, Renard JB, Gheusi F, Kuleshov Y (2016) Gravity-wave effects on tracer gases and stratospheric aerosol concentrations during the 2013 ChArMEx campaign. Atmos Chem Phys 2016:1–45. https://doi.org/10.5194/acp-2015-889
Chang P, Jelenak Z (2006) NOAA operational satellite ocean surface vector winds requirements workshop report. NOAA/NESDIS, Miami, Florida
Chen Y-C, Hsieh M-E, Hsiao L-F, Kuo Y-H, Yang M-J, Huang C-Y, Lee C-S (2015) Systematic evaluation of the impacts of GPSRO data on the prediction of typhoons over the northwestern Pacific in 2008–2010. Atmos Meas Tech 8(6):2531–2542
Ciesielski PE, Chang W-M, Huang S-C, Johnson RH, Jong-Dao Jou B, Lee W-C, Lin P-H, Liu C-H, Wang J (2010) Quality-controlled upper-air sounding dataset for TiMREX/SoWMEX: development and corrections. J Atmos Ocean Technol 27(11):1802–1821
Fritts DC, Alexander MJ (2003) Gravity wave dynamics and effects in the middle atmosphere. Rev Geophys 41:1003
Fujiwhara S (1923) On the growth and decay of vortical systems. Q J R Meteorol Soc 49(206):75–104
Gutman SI, Benjamin SG (2001) The role of ground-based GPS meteorological observations in numerical weather prediction. GPS Solut 4(4):16–24
Ho S-P, Yue X, Zeng Z, Ao CO, Huang C-Y, Kursinski ER, Kuo Y-H (2014) Applications of COSMIC radio occultation data from the troposphere to ionosphere and potential impacts of COSMIC-2 data. Bull Am Meteorol Soc 95(1):ES18–ES22
Hong G, Yang P, Huang H-L, Baum BA, Hu Y, Platnick S (2007) The sensitivity of ice cloud optical and microphysical passive satellite retrievals to cloud geometrical thickness. IEEE Trans Geosci Remote Sens 45(5):1315–1323
Huang H-L, Yang P, Wei H, Baum BA, Hu Y, Antonelli P, Ackerman SA (2004) Inference of ice cloud properties from high spectral resolution infrared observations. IEEE Trans Geosci Remote Sens 42(4):842–853
Huang C-Y, Kuo Y-H, Chen S-H, Vandenberghe F (2005) Improvements in typhoon forecasts with assimilated GPS occultation refractivity. Weather Forecast 20(6):931–953
Kafando P, Chane-Ming F, Petitdidier M (2015) Stratospheric variability of wave activity and parameters in equatorial coastal and tropical sites during the West African monsoon. Clim Dyn 1–24
King MD, Menzel WP, Kaufman YJ, Tanré D, Gao B-C, Platnick S, Ackerman SA, Remer LA, Pincus R, Hubanks PA (2003) Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS. IEEE Trans Geosci Remote Sens 41(2):442–458
Kuleshov Y, Chane-Ming F, Qi L, Chouaibou I, Hoareau C, Roux F (2009) Tropical cyclone genesis in the Southern Hemisphere and its relationship with the ENSO. Ann Geophys Atmos Hydrosp Space Sci 6:2523–2538
Kursinski E, Bennett R, Gochis D, Gutman S, Holub K, Mastaler R, Minjarez Sosa C, Minjarez Sosa I, van Hove T (2008) Water vapor and surface observations in northwestern Mexico during the 2004 NAME Enhanced Observing Period. Geophys Res Lett 35(3)
Liou Y-A, Huang C-Y (2000) GPS observations of PW during the passage of a typhoon. Earth Planets Space 52(10):709–712
Liou Y-A, Teng Y-T, Van Hove T, Liljegren JC (2001) Comparison of precipitable water observations in the near tropics by GPS, microwave radiometer, and radiosondes. J Appl Meteorol 40(1):5–15
Liou Y-A, Liu J-C, Wu M-X, Lee Y-J, Cheng C-H, Kuei C-P, Hong R-M (2016) Generalized empirical formulas of threshold distance to characterize cyclone-cyclone interactions. IEEE Trans Geosci Remote Sens (99):1–11. https://doi.org/10.1109/tgrs.2016.2519538
Liu J-C, Liou Y-A, Wu M-X, Lee Y-J, Cheng C-H, Kuei C-P, Hong R-M (2015) Analysis of interactions among two tropical depressions and typhoons Tembin and Bolaven (2012) in pacific ocean by using satellite cloud images. IEEE Trans Geosci Remote Sens 53(3):1394–1402. https://doi.org/10.1109/tgrs.2014.2339220
Mahfouf J-F, Ahmed F, Moll P, Teferle FN (2015) Assimilation of zenith total delays in the AROME France convective scale model: a recent assessment. Tellus A 67
Minnis P, Sun-Mack S, Young DF, Heck PW, Garber DP, Chen Y, Spangenberg DA, Arduini RF, Trepte QZ, Smith WL Jr (2011) CERES edition-2 cloud property retrievals using TRMM VIRS and Terra and Aqua MODIS data—part I: algorithms. IEEE Trans Geosci Remote Sens 49(11):4374–4400
Platnick S, King MD, Ackerman SA, Menzel WP, Baum BA, Riédi JC, Frey RA (2003) The MODIS cloud products: algorithms and examples from Terra. IEEE Trans Geosci Remote Sens 41(2):459–473
Shoji Y, Kunii M, Saito K (2011) Mesoscale data assimilation of Myanmar cyclone Nargis Part II: Assimilation of GPS-derived precipitable water vapor. J Meteorol Soc Jpn 89(1):67–88
Typhoon Database (2015) Central Weather Bureau, Taiwan. http://rdc28.cwb.gov.tw/
Von Ahn JM, Sienkiewicz JM, Chang PS (2006) Operational impact of QuikSCAT winds at the NOAA Ocean Prediction Center. Weather Forecast 21(4):523–539
Wang H, Sun J, Fan S, Huang X-Y (2013) Indirect assimilation of radar reflectivity with WRF 3D-Var and its impact on prediction of four summertime convective events. J Appl Meteorol Climatol 52:889–902
Wu C-C (2013) Typhoon Morakot: key findings from the journal TAO for improving prediction of extreme rains at landfall. Bull Am Meteorol Soc 94(2):155–160
Xiao Q, Kuo Y-H, Sun J, Lee W-C, Lim E, Guo Y-R, Barker DM (2005) Assimilation of Doppler radar observations with a regional 3DVAR system: impact of Doppler velocities on forecasts of a heavy rainfall case. J Appl Meteorol 44(6):768–788
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Liou, YA. et al. (2019). Remote Sensing for Improved Forecast of Typhoons. In: Barale, V., Gade, M. (eds) Remote Sensing of the Asian Seas. Springer, Cham. https://doi.org/10.1007/978-3-319-94067-0_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-94067-0_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94065-6
Online ISBN: 978-3-319-94067-0
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)