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1 Analysis of Tropical Cyclones with Microwave Satellite Imagery NISHIMURA Shuuji *, KATO Koji **, MOURI Kouki *, ASANO Jun ichi *, SAITOH Sadao ***, YOSHIDA Shiro *, ENDO Takeshi *, OOTUBO Kohei *, SHIMIZU Akihiro *, OYAMA Ryo ** Abstract Estimations of center positions and intensities of tropical cyclones by "Dvorak method," which uses infrared and visible imagery from the geostational satellite "Himawari," have been being done in MSC. "Dvorak method" is the most popular method to analyze tropical cyclones with infrared and visible imagery. It is, however, difficult to estimate center positions of tropical cyclones which don't have eyes clearly and are covered by upper cirrus cloud in the developing stage, especially when visible imagery are not available. Microwave imagery from "AMSR-E" on an earth observing satellite "Aqua" can be used for analyzing the inner structures of tropical cyclones, which can't be seen in infrared or visible imagery. We developed a method to estimate center positions of tropical cyclones. And with this method, we investigated the accuracies of center positions of tropical cyclones from 2003 to As the result, the accuracies by microwave imagery is almost same as those by radar observations, and it is possible for our method to correct center positions only by "Dvorak method".
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26 METEOROLOGICAL SATELLITE CENTER TECHNICAL NOTE No.49 MARCH 2007 者が行っており この結果は太平洋台風センターのベ ストトラック作成の資料に利用されるとともに RSMC 東京を経由して WMO へ報告されている 上記の熱帯擾乱解析スケジュールにおいて マイク ロ波画像は① ③ ④で利用している ①のプレ解析時及び③の再解析時には 前ルーチン 解析時刻以降に入手できたマイクロ波画像を利用し スパイラルバンドの曲率等から必要に応じて前ルーチ ン解析の中心位置の修正を行い また発達 衰弱のス テージの把握 発達期で厚い雲域の内部に眼が形成し 始めている 衰弱期で厚い雲域とスパイラルバンドの 図 年 7 月 1 日 09 時 日本時間 地上天気図 気象庁天気図より 中心が離れ始めシアーパターンに移行しつつある等 を行い 解析の参考にする また④の事後解析時には 全てのマイクロ波画像を利用できることから 前述し た特徴などを考慮しながら最終的な熱帯擾乱の再解析 を行う ３ １ ２ 温帯低気圧への応用 マイクロ波画像は１章で説明したとおり 活発な対 流雲域や水雲の識別に適している この特性は熱帯低 気圧以外だけでなく温帯低気圧の解析にも応用でき る 図 25 は 2006 年 7 月 1 日 09 時 日本時間 の 地上天気図 図 26-1 は同日 07 時 同 の赤外画像 図 年 7 月 1 日 07 時 日本時間 赤外画像 である 地上天気図では日本付近には前線が停滞して おり 赤外画像でも前線対応の雲バンドが東西日本を 覆っている 東シナ海には白く輝く発達した積乱雲が 発生しているが 赤外画像からは日本付近の前線や前 線に伴う強い降水域の位置の特定は難しい 図 26-2 は同時刻のマイクロ波画像 TMI 89GHz 垂直偏波画像 である この画像では東シナ海の積乱 雲だけでなく 雲バンド内の九州北部から中国地方と 関東東海上に活発な 輝度温度の低い 対流雲列が解 析でき 前線の活動状態や前線の位置の推定などがで きる このようにマイクロ波画像は 温帯低気圧の監視に も有効に利用できる場合がある ただし本調査では 主に熱帯擾乱解析への利用を目 図 年 7 月1日07 時 (日本時間 ) マイクロ波画像 TRMM/TMI 89GHz 垂直偏波 116 技術報告49cs1.indd :06:43 AM
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29 Grody, N. C., 1993:Remote Sensing of the Atmosphere from Satellite Using Microwave Radiometry, Atmospheric Remote Sensing by Microwave Radiometry (eds. M. A. Janssen), John Wiley & Sons, New York,P Kidder, Stanley Q., Mitchell D. Goldberg, Raymond M. Zehr, Mark DeMaria, James F. W. Purdom, Christopher S. Velden, Norman C. Grody, and Sheldon J. Kusselson, 2000: Satellite Analysis of Tropical Cyclones Using the Advanced Microwave Sounding Unit (AMSU), Bulletin of the American Meteorological Society, 81, Lee, Thomas F., Francis J. Turk, Jeffrey Hawkins, and Kim Richardson, 2002: Interpretation of TRMM TMI Images of Tropical Cyclones, Earth Interactions, 6, 1-17 NASA, 1987: High Resolution Multifrequency Microwave Radiometer, Earth Observing System Volume IIe, Instrument Panel Peport, NASA, Washington D.C., P59 Randall J. Alliss, Sethu Raman and Simon W. Chang, 1992: Special Sensor Microwave / Imager (SSM/I) Observations of Hurricane Hugo (1989), Monthly Weather Review, 120, P Randall J. Alliss, Glenn D. Sandlin, Simon W. Chang and Sethu Raman, 1993: Applications of SSM/I Data in the Analysis of Hurricane F l o r e n c e ( ), Jo u r n a l o f A p p l i e d Meteorology, 32, P Spencer, Roy W., H. Michael Goodman, Robbie E. Hood, 1989: Precipitation Retrieval over Land and Ocean with the SSM/I: Identification and Characteristics of the Scattering Signal, Journal of Atmospheric and Oceanic Technology, 6,
30 METEOROLOGICAL SATELLITE CENTER TECHNICAL NOTE No.49 MARCH 2007 AMSR Advanced Microwave Scanning Radiometer ADEOS- AMSR-E Advanced Microwave Scanning Radiometer for EOS Aqua AMSU Advanced Microwave Sounding Unit 15 NOAA AMSU-A AMSU-B AMSU-A Advanced Microwave Sounding Unit-A NOAA,Aqua,MetOp AMSU-B Advanced Microwave Sounding Unit-B NOAA Aqua Aqua ATOVS Advanced TOVS TOVS 15 NOAA BUFR Binary Universal Form for the Representation of MetOp HIRS/3, AMSU-A, AMSU-B MHS meteorological data CDO Central Dense Overcast CloudSat Cloud Satellite CSC Cloud System Center DMSP Defense Meteorological Satellite Program Dovorak Dovorak EOS Earth Observing System NASA Terra Aqua Aura 3 FOV Field Of View GCOM Global Change Observation Mission GCOM-C GCOM-Climate GCOM GCOM-W GCOM-Water GCOM GMS Geostationary Meteorological Satellite GMSLP Geostationary Meteorological Satellite Loop Program GMSLPA Geostationary Meteorological Satellite Loop Program for Aqua GOES Geostationary Operational Environmental Satellite GPM Global Precipitation Measurement JAMI Japanese Advanced Meteorological Imager JAXA Japan Aerospace Exploration Agency JMA Japan Meteorological Agency MHS Microwave Humidity Sounder NOAA,MetOp MSC Meteorological Satellite Center MSU Microwave Sounding Unit 14 NOAA MTSAT Multi-functional Transport Satellite MTSAT-1R Multi-functional Transport Satellite-1 Replacement 1
31 NASA National Aeronautics and Space Administration NASDA National Space Development Agency of Japan JAXA NCAR National Center for Atmospheric Researches NCEP National Centers for Environmental Prediction NESDIS National Environmental Satellite, Data, and Information Service NOAA National Oceanic and Atmospheric Administration QuikSCAT Quick Scatterometer RADOB Radar Observation RSMC Regional Specialized Meteorological Center SAREP code for REPorting synoptic interpretation of cloud data obtained by meteorological SAtellite SATAID SATellite Animation and Interactive Diagnosis SeaWinds SeaWinds QuikSCAT SSM/I Special Sensor Microwave/Imager 15 DMSP SSM/T Special Sensor Microwave/Temperature Sounder SSM/T-1 15 DMSP SSM/T-2 Special Sensor Microwave Water Vapor Sounder 15 DMSP SSMIS Special Sensor Microwave Imager Sounder SSM/I 16 DMSP SSP Sub Satellite Point TC Tropical Cyclone (Number) TD Tropical Depression TMI TRMM Microwave Imager TRMM TRMM TOVS TIROS Operational Vertical Sounder TIROS 14 NOAA HIRS,MSU,SSU TRMM Tropical Rainfall Measuring Mission WMO World Meteorological Organization
32 METEOROLOGICAL SATELLITE CENTER TECHNICAL NOTE No.49 MARCH 2007 [µm] [GHz] [K] [km] ( GeoStatinary Satellite) MTSAT-1R JAMI IR_VIS-I [VIS] [IR] [µm] 5 [VIS] 6.5 {2.5% albedo} [IR1] 0.18 [IR2] 0.18 [IR3] 0.15 [IR4] 0.18 {300K} [VIS] 1 [IR] /02 MTSAT MTSAT 2 IMAGER IR_VIS-I [VIS] [IR] [µm] 5 [VIS] 6.5 {2.5% albedo} [IR1] 0.09 [IR2] 0.12 [IR3] 0.11 [IR4] 0.20 {300K} [VIS] 1 [IR] /02 ( Polar Orbiting Satellite ) CloudSat (NASA) (CSA) CloudSat CPR 94[GHz] 1 1.5[dB] 2, [V] /4 DMSP ( ) DMSP F SSM/I SSM/T1 SSM/T-2 MW-I MW-S MW-S 19.35VH 22.24V 37.0VH 85.5VH[GHz] [GHz] 91.5, 150,183[GHz] 19.35VH ( ) [5mm/hr] [2m/s] 1995/3 1997/4 1999/12 F / V / VH / VH /4 20 SSMIS MW-IS /10 60, H H H[GHz]
33 [µm] [GHz] [K] [km] MODIS IR_VIS-I [µm] {300K} 0.25, 0.5, 1 SST AMSR-E MW-I VH, VH, VH, VH, VH, Aqua 89.0 VH [GHz] AMSU-A MW-S NOAA HSB MW-S 150,183[GHz] km 2002/5 AIRS IR-HS , , [1/ cm] EOS (NASA) CERES 0.3-5, % 3,0.3-50[µm] 1% MODIS IR_VIS-I Aaua [bit] 21km 15m ASTER VIS_IR-I [bit] 20m Terra 8-12[µm] 5 0.3, 12[bit] 90m MISR 0.45,0.56, 0.24,0.48, ,0.87[µm] 0.96,1.92 MOPITT [µm] CERES Aqua , , OMI [nm] [µm] [1-5%] 1999/ /7 Aura TES [µm] [1/ cm] HIRDLS [µm] ,[V]1 MLS 118, 190, 240, 640, 2500[GHz] 5 5[MHz] 5 500
34 METEOROLOGICAL SATELLITE CENTER TECHNICAL NOTE No.49 MARCH 2007 GCOM-W (JAXA) GCOM-C (JAXA) GOSAT GPM NOAA (NOAA) [µm] [GHz] [K] [km] 6.925VH VH GCOM-W VH W2 AMSR2 MW-I 18.7VH W3 23.8VH VH VH [GHz] [VN] [VN] 670P3, P3 [P] GCOM-C1 4 [nm] [B] 1 -C2 SGLI IR_VIS-I 12[bit] [SW] [SW] -C3 [nm] [T]10.8,12.0 [T] [µm] 0.5 GOSAT TANSO- 0.76,1.6, [B] (1%){4 FTS 2.0,6-15[µm] 0.2[1/cm] ppmv} 0.38,0.67, TANSO-CAI IR_VIS-I ,1.62[µm] 20-90[nm] 2008/8 DPR ,35.5[GHz] [1 GPM 10.7,19.3,21,37, 8 GMI MW-I 89,165, [GHz] ] 069, , HIRS/3 IR-S [µm] 20 13[bit] /5 2000/9 23.8, 31.4, 89.0, AMSU-A MW-S / [GHz] AMSU-B MW-S 89.0, [GHz] NOAA15 [VIS] [IR] ,1.6, 10[bit] AVHRR/3 IR_VIS-I , , [µm] SBUV/ [bit] 170 [µm] [1-5%] 069, , NOAA18 HIRS/4 IR-S [µm] 20 13[bit] 10.2 HIRS/3 2005/5 89.0,157, NOAA N' MHS MW-S 183, 190[GHz] AMSU-B 2008/12 AMSU-A SBUV/2 NOAA15-17 AVHRR/3
35 [µm] [GHz] [K] [km] TRMM QuikSCAT (NASDA) (NASA) (NASA) QuikSCAT TRMM SeaWinds TMI MW-I PR VIRS IR_VIS-I CERES 13.4[GHz] 1-25 V/H 10.7VH, 0.63/ VH, 0.50/ V, VH, 0.36/ VH [GHz] 0.52/ , [GHz] [V] , 1.6, 3.75, 10.8, 12.0 [µ ] , 8-12, 2% [µm] 1% 21km ( RMSE 2[m/ s]{3-20m/s} 20[deg]) 3 (0.7 mm/hr) 1999/6 1997/11
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