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REAL TIME SATELLITE RAINFALL ESTIMATION OVER THE AMAZON REGION FOR
II International LBA Scientific Conference REAL TIME SATELLITE RAINFALL ESTIMATION OVER THE AMAZON REGION FOR HYDROLOGICAL APPLICATIONS Gilberto A. Vicente Marcos H. Costa Daniel Vila Goddard Space Flight Center & Federal University of Vicosa – UFV NOAA – National Environmental Satellite, Data, and Information Service - NESDIS
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Rainfall estimation Temporal resolution Spatial resolution Methods
Hourly Daily Weekly Monthly Seasonally Yearly Spatial resolution 4 km ¼ degree ½ degree 1 degree 2.5 degrees Methods Rain gauges Radar Satellites Models
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Satellite rainfall estimation
DIRECT INDIRECT Radar – Low resolution PR (TRMM) – “twice daily” MW Radiometer - Low resolution SSMI (DMSP) – twice daily TMI (TRMM) – twice daily IR-Vis Sensor - High resolution 11 mm channel GOES-8 – every ½ hour
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Project earlier objectives
Provide continous real time satellite rainfall estimation over Amazonia 1-hour average every hour 3-hour, 6-hour totals every hour 24-hour accumulation once a day Resolution: 4 Km by 4 Km Ease and free products access to users
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Autoestimator (Hydro-estimator)
Extension of the NOAA/NESDIS AutoEstimator Rainfall Estimation to South America Autoestimator (Hydro-estimator) Operational Algorithm for Flash Flood Applications Time frame: 0 to 6 hours How much ??? Where ???
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Autoestimator description
Cloud top temperature Cloud top growth rate Cloud top temperature gradient Precipitable water Relative Humidity Wind speed and direction Orographic correction
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Precipitable Water Relative Humidity
Independent building block concept VISIBLE Precipitable Water Relative Humidity Ground Info. Growth rate Temperature gradient Rain F (IR) Parallax correction Wind vector & Orograph Manual adjustments
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Example of the technique application over the US
SATELLITE PRECIPITATION ESTIMATES..DATE/TIME 9/1/ Z HEADLINE...FF POTENTIAL HAS SHIFTED TO WESTERN ARIZONA FOR THE NEXT 1-3HRS. AUTOMATIC ESTIMATES Z W ARIZONA COUNTIES... NORTHERN LAPAZ " SOUTHERN MOHAVE " REMARKS...ISOLATED CELL MOVING ACROSS SOUTHERN MOHAVE WITH AUTO ESTIMATES AS MUCH AS 1.8"/HR. EXPECT CELL TO CONTINUE TO THE EAST NORTHEAST FOR THE NEXT FEW HOURS. AUTOESTIMATES LOOK REASOSABLE. WILL CONTINUE TO MONITOR.
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Auto-Estimator application for flash flood: HURRICANE MITCH
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Rainfall products available in real-time
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ftp://orbit35i.nesdis.noaa.gov/pub/arad/ht/gilberto/BSL/
Easy data distribution in GRADS format Available every hour for a day 1-hour 3-hour 6-hour Available once a day and archived since 1999 24-hour ftp://orbit35i.nesdis.noaa.gov/pub/arad/ht/gilberto/BSL/
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Centro de Predicción Numérica del Tiempo y Clima - Perú
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User example Date: Tue, 20 Apr :00: From: "Ricardo d´Orsi" Subject: flash flood no Rio de Janeiro “ Com o sucesso da operacao do Alerta Rio (inaugurado no final do ano de 1996), fomos solicitados a emitir alertas de inundacoes (flash floods), … Dentre os diversos web-sites com informacoes meteorologicas utilizadas pela nossa equipe, o site tem sido de grande ajuda para nos.”
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User example From: José Luís Moraes Ribeiro Sent: Thursday, October 19, :45 AM “Somos uma compania exportadora de café no interior do estado de São Paulo na cidade de Espirito Santo do Pinhal.Trabalhamos muito diretamente com o produtor e as estiagens do ano passado e a das ultimas duas semanas tem influenciado muito as cotaçoes mundias do produto. Com seu trabalho podemos ter as informaçoes precisas das regiões que recebem mais ou menos chuvas.”
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User example - Case study: Argentina/Brazil
LONGITUD L A T I U D Daniel A. Vila - Sistema de Alerta Hidrológico de la Cuenca del Plata Instituto Nacional del Agua y del Ambiente (INA)
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Rainfall satellite estimation for Salto Grande Dam region
Validation - Case study: Argentina/Brazil/Uruguay Daniel A. Vila - Sistema de Alerta Hidrológico de la Cuenca del Plata Instituto Nacional del Agua y del Ambiente (INA) Rainfall satellite estimation for Salto Grande Dam region 21-22 May 2001
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Validation - Case study: Argentina/Brazil/Uruguay
Rainfall satellite estimation for Salto Grande Dam region May 2001 Rainfall satellite estimation for Salto Grande Dam region - 31 May / 1 June 2001
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Validation - Case study: Argentina/Brazil/Uruguay
Estimated (mm) Observed (mm)
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Satellite data/products and globalization The Corporate Approach
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TRMM Online Analyses http://daac.gsfc.nasa.gov/
NASA/GSFC – Distributed Active Archive Center
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TRMM Accumulated Rainfall
Area Plot Time Plot TRMM Online data analyses
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TRMM Rainfall Rate TRMM Online data analyses Area Plot Time Plot
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Access to online Global precipitation analyses tools
GPCP Multisat Product Global Precipitation Climatology Centre (GPCC) Access to online Global precipitation analyses tools
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GPCC/GPCP Multisat Product
Arcview Various Formats: ASCII ARCVIEW Grid GIF POSTCRIPT PNG ASCII
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Data integration and interoperability
Give up ownership: Open source SW System independence: JAVA WEB based: Free data and SW distribution GIS: Make rain estimation one more layer of information WEB – GIS based
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GIS: A tool to connect Hydrology and Meteorology
Land use (polygon) Soil Type (polygon) Gage Station (point) Stream (line) Watershed (polygon)
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Conclusion Purpose: Create a system to provide continuous and reliable real-time satellite rainfall rate products to LBA users Make the products quick and easily accessible through open source software Provide users with information about other satellite rainfall rate products
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Backup Slides
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In progress Continue with data generation and delivery
Assist users in the search and use of other rainfall data products Validation effort Technique calibration Parallax correction Comparative study Student orientation
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COMPUTE SATELLITE RAINFALL RATE IN 1 X 1 DEGREE GRID
Auto-Estimator real-time adjustments with ground information COMPUTE SATELLITE RAINFALL RATE IN 1 X 1 DEGREE GRID ERROR < -10% ERROR = satellite - ground ERROR > +10% T = T T = T + 1 -10% < ERROR < +10% EXIT
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GROWTH RATE and GRADIENT corrections
same cloud top temperature GROWTH RATE and GRADIENT corrections same rainfall rate low PW1 low RH1 high PW2 high RH2 PW2 x RH2 > PW1 x RH1 h h1 h2
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OROGRAPHIC CORRECTION
Rainfall Contrasts on windward and leeward slopes OROGRAPHIC CORRECTION
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Orographic correction: wind x height
Estimates with orographic correction Estimates without orographic correction
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Parallax correction Apparent Cloud Position Satellite Line-of-Sight
Actual Cloud Position
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PARALLAX CORRECTION
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