ICE WATER PATH STUDY USING PASSIVE MICROWAVE SENSORS

ICE WATER PATH STUDY USING PASSIVE MICROWAVE SENSORS DURING CLOUD LIFE CYCLE OVER BRAZIL Ramon Campos Braga INPE-graduate student Advisors: Carlos Frederico Angelis and Daniel Alejandro Vila

SUMMARY • • INTRODUCTION OBJECTIVES REGION OF STUDY DATABASE METHODOLOGY PRELIMINARY RESULTS WITH AMSU-B/MHS FUTURE PLANS

INTRODUCTION • Ice Water Path (IWP) has a strong influence on the radiation budget and rain rate estimation using satellites information, mainly in overshooting clouds; • Therefore, satellites with microwave sensors on board are an important tool on the estimation of IWP and rain rates over the continent;

OBJECTIVES • Study the relation between IWP and its rain rates (RR) over Brazil, using information from AMSU-B, MHS and SSMI/S sensors. • The focus of this study is to compare IWP, in the cloud life cycle stages determined by FORTRACC; • The rain rates from satellites will be compared with radar data (RRx);

REGION OF STUDY Belém-Pa Fortaleza-Ce • Squall Lines • ITCZ • Easterly Disturbances • ITCZ • Warm Clouds S. J. dos Campos-Sp • ZCAS • Cold Fronts • Orographic Precipitation

DATA -Satellite (MW) SATELLITE SENSOR CHANEL FREQUENCY (GHz) TRACK RESOLUTION (km) NOAA-16 AMSU-B 1, 2, 3, 4 e 5 89 , 150, 183+/-1, 183+/-3 e 183+/-7 CROSS-TRACK 16* NOAA-17 AMSU-B 1, 2, 3, 4 e 6 89 , 150, 183+/-1, 183+/-3 e 183+/-7 CROSS-TRACK 16* NOAA-18 MHS 1, 2, 3, 4 e 7 89 , 157, 183+/-1, 183+/-3 e 183+/-7 CROSS-TRACK 17* NOAA-19 MHS 1, 2, 3, 4 e 8 89 , 157, 183+/-1, 183+/-3 e 183+/-7 CROSS-TRACK 17* DMSP-F 16 -18 SSMIS 9, 10, 11, 17 e 18 183+/-6, 183+/-3 e 183+/-1, 91. 65 e 150 CONIC 14+ -Satellite (IR) SATELLITE CHANEL GOES-12 4 WAVELENGHT(µm) 10. 7 GRID(km) 4 X 4 -Radar RADAR CAPPI(RAIN) GRID(Km) CAPPI (REFLETIVITY) GRID(km) PERIOD BELÉM 2 KM 0. 2 X 0. 2 3 KM 1 X 1 JUN(2011) FORTALEZA 2 KM 0. 2 X 0. 2 3 KM 1 X 1 ABR-MAI(2011) SJC 2 KM 0. 2 X 0. 2 2 KM 1 X 1 NOV-MAR(2011 -2012)

METHODOLOGY • AMSU/MHS Retrieval Flux(Zhao e Weng, 2002):

METHODOLOGY • RRx and radar reflectivity from X-band radar of CHUVA Project (Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud Resolving Modeling and to the Global Precipitation Measurement). • RRx calculation: (GEMATRONIK, 2007)

METHODOLOGY • The radar cloud classification is performed by the use of the horizontal reflectivity in an specific level: (STEINER et al. , 1995) 1) If Z > 39 d. Bz, convective; 2) 3) Z > 5, stratiform.

METHODOLOGY • FORTRACC (Vila et al. , 2008)

METHODOLOGY • Flowchart IWP and RR retrieval RRx Assimilation Life cycle retrieval using FORTRACC Merge of data retrieval/assimilated Statistical analysis Cloud Classification using Radar

PRELIMINARY RESULTS WITH AMSUB/MHS • RRx; RR; IWP

PRELIMINARY RESULTS WITH AMSUB/MHS • Radar Cloud Classification

PRELIMINARY RESULTS WITH AMSUB/MHS • FORTRACC Sistema Convectivo 253 - Observado em 110609 - 1815 GMT Lat Long Tmin Vel Dir TVida Área Taxa Situação -999. 90 Desintensific. Classe Tipo -1. 38 -48. 75 212. 00 -999. 90 -999. 00 0. 00 84. 0 N I -1. 36 -48. 79 210. 00 6. 17 314. 00 0. 28 126. 0 392. 20 Intensificando C I -1. 25 -48. 83 214. 00 18. 03 341. 00 0. 50 213. 0 658. 00 Intensificando C I -1. 23 -48. 87 215. 00 4. 36 270. 00 0. 78 245. 0 137. 00 Intensificando C I -1. 23 -48. 91 214. 00 5. 69 270. 00 1. 00 248. 0 15. 60 Estavel C I -1. 16 -48. 96 210. 00 9. 75 333. 00 1. 28 268. 0 76. 00 Intensificando C I -1. 10 -49. 00 207. 00 8. 06 314. 00 1. 50 259. 0 -43. 80 Estavel C I -0. 97 -49. 09 207. 00 12. 75 333. 00 1. 94 221. 0 -121. 60 Desintensific. C P_03 0 -0. 89 -49. 15 207. 00 6. 97 314. 00 2. 44 199. 0 -58. 20 Desintensific. C P_06 0 -0. 79 -49. 25 208. 00 6. 97 314. 00 2. 94 170. 0 -87. 30 Desintensific. C P_09 0 -0. 54 -49. 34 209. 00 15. 61 341. 00 3. 44 185. 0 46. 90 Estavel C P_12 0

PRELIMINARY RESULTS WITH AMSUB/MHS

PRELIMINARY RESULTS WITH AMSUB/MHS

PRELIMINARY RESULTS WITH AMSUB/MHS

PRELIMINARY RESULTS WITH AMSUB/MHS

PRELIMINARY RESULTS WITH AMSUB/MHS CIDADE VARIÁVEL COR BIAS POD FAR HEIKE AGREE RMS BELÉM TAXA DE CHUVA 0, 35 1, 21 0, 98 0, 33 0, 24 0, 12 3, 76 FORTALEZA TAXA DE CHUVA 0, 43 0, 35 0, 83 0, 41 0, 46 0, 11 3, 08 S. J. DOS CAMPOS TAXA DE CHUVA 0, 40 0, 43 0, 85 0, 56 0, 18 0, 13 3, 64 S. J. DOS CAMPOS VARIÁVEL: TAXA DE CHUVA CICLO COR BIAS POD FAR HEIKE AGREE RMS INI 0, 19 1, 65 1, 00 0, 50 0, 21 0, 22 3, 80 INT 0, 38 0, 62 0, 92 0, 43 0, 05 0, 20 4, 80 EST 0, 08 0, 24 0, 95 0, 54 0, 20 0, 16 3, 54 DES 0, 68 -0, 05 1, 00 0, 42 0, 27 0, 14 5, 40 NAO 0, 35 0, 96 0, 90 0, 69 0, 09 0, 12 2, 47

FUTURE PLANS • USE SIGNIFICANT DATA AMOUNT FOR STATISTICAL ANALYSES OF IWP AND RR IN FUNCTION OF THE CLOUD LIFE CYCLE. • EXTEND THE STUDY FOR MORE AREAS COVERED BY RADARS IN BRAZIL;

THANK YOU