Browse > Article
http://dx.doi.org/10.5467/JKESS.2018.39.4.305

Status and Prospects of Marine Wind Observations from Geostationary and Polar-Orbiting Satellites for Tropical Cyclone Studies  

Nam, SungHyun (School of Earth and Environmental Sciences, Seoul National University)
Park, Kyung-Ae (Research Institute of Oceanography, Seoul National University)
Publication Information
Journal of the Korean earth science society / v.39, no.4, 2018 , pp. 305-316 More about this Journal
Abstract
Satellite-derived sea surface winds (SSWs) and atmospheric motion vectors (AMVs) over the global ocean, particularly including the areas in and around tropical cyclones (TCs), have been provided in a real-time and continuous manner. More and better information is now derived from technologically improved multiple satellite missions and wind retrieving techniques. The status and prospects of key SSW products retrieved from scatterometers, passive microwave radiometers, synthetic aperture radar, and altimeters as well as AMVs derived by tracking features from multiple geostationary satellites are reviewed here. The quality and error characteristics, limitations, and challenges of satellite wind observations described in the literature, which need to be carefully considered to apply the observations for both operational and scientific uses, i.e., assimilation in numerical weather forecasting, are also described. Additionally, on-going efforts toward merging them, particularly for monitoring three-dimensional TC wind fields in a real-time and continuous manner and for providing global profiles of high-quality wind observations with the new mission are introduced. Future research is recommended to develop plans for providing more and better SSW and AMV products in a real-time and continuous manner from existing and new missions.
Keywords
sea surface wind; atmospheric motion vector; geostationary satellite; tropical cyclone;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Daniels, J., Bresky, W., Wanzong, S., Velden, C., and Berger, H., 2012, GOES-R Advanced Baseline Imager (ABI) algorithm theoretical basis document for derived motion winds, ver. 2.5. GOES-R Program Office, 96 pp.
2 Figa-Saldana, J., Wilson, J.J.W., Attema, E., Gelsthorpe, R., Drinkwater, M.R., and Stoffelen, A., 2014, The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: A follow on for European wind scatterometers. Canadian Journal of Remote Sensing, 28 (3), 404-412.   DOI
3 Forsythe, M. and Doutriaux-Boucher, M., 2005. Second analysis of the data displayed on the NWP SAF AMV monitoring website. NWP SAF Technical Report 20.
4 Hersbach, H., 2010, Comparison of C-band scatterometer CMOD5. N equivalent neutral winds with ECMWF. Journal of Atmospheric and Oceanic Technology, 27 (4), 721-736.   DOI
5 Hong, S., Seo, H.-J., and Kown, Y.-J., 2016, A unique satellite-based sea surface wind speed algorithm and its application in tropical cyclone intensity analysis. J. Atmos. Oceanic Tech., 33, 1363-1375.   DOI
6 Isoguchi, O. and M. Shimada, 2009. An L-band ocean geophysical model function derived from PALSAR, IEEE Transactions on Geoscience and Remote Sensing, 47(7): 1925-1936.   DOI
7 Kim, T.-S., Park, K.-A., Choi, W.-M., Hong, S., Choi, B.-C., Shin, I., and Kim, K.-R., 2012, L-band SAR-derived sea surface wind retrieval off the east coast of Korea and error characteristics. Korean Journal of Remote Sensing, 28 (5), 477-487.   DOI
8 Knaff, J.A., DeMaria, M., Molenar, D.A., Sampson, C.R., and Seybold, M.G., 2011, An automated, objective, multiple-satellite-platform tropical cyclone surface wind analysis. J. Meteorol. Climatol., 50, 2149-2166.   DOI
9 Knaff, J.A., Longmore, S.P., DeMaria, R.T., and Molenar, D.A., 2015, Improved tropical-cyclone flight-level wind estimates using routine infrared satellite reconnaissance. J. Appl. Meteorol. Climatol., 50, 2149-2166.
10 Choi, D.Y., Woo, H.-J., Park, K.-A., Byun, D.-S., and Lee, E., 2018, Validation of sea surface wind speeds from satellite altimeters and relation to sea state bias. Journal of the Korean Earth Science Society, 39 (2), 139-153.   DOI
11 Chou, K.-H., Wu, C.-C., and Lin, S.-Z., 2013, Assessment of the ASCAT wind error characteristics by global dropwindsonde observations. J. Geophys. Res., 118, 9011-9021.
12 Cotton, J. and Forsythe, M., 2010. Fourth analysis of the data displayed on the NWP SAF AMV monitoring website, NWP SAF Technical Report 24.
13 Lean, P., Migliorini, S., and Kelly, G., 2015, Understanding atmospheric motion vector vertical representativity using a simulation study and first-guess departure statistics. J. Appl. Meteorol. Climatol. 54, 2479-2500.   DOI
14 Lehner S., Pleskachevsky A., and Bruck M., 2012, High-resolution satellite measurements of coastal wind field and sea state, International Journal of Remote Sensing, 33 (23), 7337-7360.   DOI
15 Powell, M.D. and Reinhold, T.A., 2007, Tropical cyclone destructive potential by integrated kinetic energy. Bull. Am. Meteorol. Soc., 88, 513-526.   DOI
16 Mears, C.A., Smith, D.K., and Wentz, F.J., 2001, Comparison of Special Sensor Microwave Imager and buoy-measured wind speeds from 1987 to 1997. J. Geophys. Res., 106, 11,719-11,729.   DOI
17 Metcalfe, D.J., Bradford, M.G., and Ford, A.J., 2008, Cyclone damage to tropical rain forests: Species- and community-level impacts. Austral Ecol., 33, 432-441.   DOI
18 Nam, S.H., Kim, D.-J., and Moon, W.M., 2012, Observed impact of mesoscale circulation on oceanic response to typhoon Man-Yi (2007). Ocean Dynamics, 62 (1), 1-12.   DOI
19 Soisuvarn, S., Jelenak, Z., Chang, P. S., and Alsweiss, S. O., 2013, A high wind Geophysical Model Function for C-band vertically polarized satellite scatterometer measurements. IEEE Trans. Geo. Rem. Sen., 51, 3744-3760.   DOI
20 Stoffelen, A., and Anderson, D., 1997, Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4. Journal of Geophysical Research: Oceans, 102 (C3), 5767-5780.   DOI
21 Lean, K., Bormann, N., and Salonen, K., 2017, Assessment of Himawari-8 AMV data in the ECMWF system. EUMETSAT/ECMWF Fellowship Programme Research Report 42.
22 Zhang, Q., Wu, L., and Liu, L., 2009, Tropical cyclone damage in China 1983-2006. Bull. Am. Meteorol. Soc., 99, 489-495.