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

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 S. J. dos Campos-Sp Fortaleza-Ce Squall Lines ITCZ Easterly Disturbances ITCZ Warm Clouds ZCAS Cold Fronts Orographic Precipitation

-Satellite (MW) -Satellite (IR) -Radar DATA SATELLITESENSORCHANELFREQUENCY (GHz)TRACKRESOLUTION (km) NOAA-16AMSU-B1,2,3,4 e 589, 150, 183+/-1, 183+/-3 e 183+/-7CROSS-TRACK16* NOAA-17AMSU-B1,2,3,4 e 689, 150, 183+/-1, 183+/-3 e 183+/-7CROSS-TRACK16* NOAA-18MHS1,2,3,4 e 789, 157, 183+/-1, 183+/-3 e 183+/-7CROSS-TRACK17* NOAA-19MHS1,2,3,4 e 889, 157, 183+/-1, 183+/-3 e 183+/-7CROSS-TRACK17* DMSP-F16-18SSMIS9,10,11,17 e /-6, 183+/-3 e 183+/-1, e 150CONIC14 + RADARCAPPI(RAIN)GRID(Km)CAPPI (REFLETIVITY)GRID(km)PERIOD BELÉM2KM0.2 X 0.23KM1 X 1JUN(2011) FORTALEZA2KM0.2 X 0.23KM1 X 1ABR-MAI(2011) SJC2KM0.2 X 0.22KM1 X 1NOV-MAR( ) SATELLITECHANELWAVELENGHT(µm)GRID(km) GOES X4

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 ) METHODOLOGY 1)If Z > 39dBz, convective; 2) 3) Z > 5, stratiform.

FORTRACC (Vila et al., 2008) METHODOLOGY

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

RRx; RR; IWP PRELIMINARY RESULTS WITH AMSU- B/MHS

Radar Cloud Classification PRELIMINARY RESULTS WITH AMSU- B/MHS

FORTRACC LatLongTminVelDirTVidaÁreaTaxaSituaçãoClasseTipo Desintensific.NI IntensificandoCI IntensificandoCI IntensificandoCI EstavelCI IntensificandoCI EstavelCI Desintensific.C P_ Desintensific.C P_ Desintensific.C P_ EstavelC P_12 0 Sistema Convectivo Observado em GMT PRELIMINARY RESULTS WITH AMSU- B/MHS

CIDADEVARIÁVELCORBIASPODFARHEIKEAGREERMS BELÉMTAXA DE CHUVA0,351,210,980,330,240,123,76 FORTALEZATAXA DE CHUVA0,430,350,830,410,460,113,08 S. J. DOS CAMPOSTAXA DE CHUVA0,400,430,850,560,180,133,64 S. J. DOS CAMPOSVARIÁVEL:TAXA DE CHUVA CICLOCORBIASPODFARHEIKEAGREERMS INI0,191,651,000,500,210,223,80 INT0,380,620,920,430,050,204,80 EST0,080,240,950,540,200,163,54 DES0,68-0,051,000,420,270,145,40 NAO0,350,960,900,690,090,122,47

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;

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