II International LBA Scientific Conference – Gilberto Vicente, 07/02, Manaus Goddard Space Flight Center & Federal University of Vicosa – UFV NOAA – National

II International LBA Scientific Conference – Gilberto Vicente, 07/02, Manaus

Goddard Space Flight Center & Federal University of Vicosa – UFVNOAA – National Environmental Satellite, Data, and Information Service - NESDIS

REAL TIME SATELLITE RAINFALL REAL TIME SATELLITE RAINFALL ESTIMATION OVER THE ESTIMATION OVER THE AMAZON REGION FOR AMAZON REGION FOR

HYDROLOGICAL APPLICATIONSHYDROLOGICAL APPLICATIONS

Gilberto A. Vicente Gilberto A. Vicente Marcos H. CostaMarcos H. Costa

Daniel VilaDaniel Vila

II International LBA Scientific Conference


Rainfall estimationRainfall estimation

Temporal resolution

Hourly Daily Weekly Monthly Seasonally Yearly

Methods

Rain gauges Radar Satellites Models

Spatial resolution

4 km ¼ degree ½ degree 1 degree 2.5 degrees


Satellite rainfall estimationSatellite rainfall estimation

Radar – Low resolution PR (TRMM) – “twice daily”

IR-Vis Sensor - High resolution 11 m channel GOES-8 – every ½ hour

MW Radiometer - Low resolution SSMI (DMSP) – twice daily TMI (TRMM) – twice daily

DIRECT INDIRECT


Project earlier objectivesProject 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


Autoestimator (Hydro-estimator)Autoestimator (Hydro-estimator) Operational Algorithm for Flash Flood Applications Time frame: 0 to 6 hours How much ??? Where ??? Http://hpssd1en.wwb.noaa.gov

Extension of the NOAA/NESDIS AutoEstimator Extension of the NOAA/NESDIS AutoEstimator Rainfall Estimation to South AmericaRainfall Estimation to South America


Autoestimator descriptionAutoestimator description

Cloud top temperature Cloud top growth rate Cloud top temperature gradient Precipitable water Relative Humidity Wind speed and direction Orographic correction


Independent building block conceptIndependent building block concept

Rain F (IR) TemperatureTemperature

gradientgradient

Growth Growth

raterate

Wind vector & OrographWind vector & Orograph

Precipitable Water Precipitable Water Relative HumidityRelative Humidity

Parallax correctionParallax correction

VISIBLEVISIBLE

Manual adjustmentsManual adjustments

Ground Info.Ground Info.


SATELLITE PRECIPITATION ESTIMATES..DATE/TIME 9/1/98 0605ZHEADLINE...FF POTENTIAL HAS SHIFTED TO WESTERN ARIZONA FOR THE NEXT 1-3HRS.

AUTOMATIC ESTIMATES... 0230-0530ZW ARIZONA COUNTIES... NORTHERN LAPAZ 2.4" SOUTHERN MOHAVE 1.8"

Example of the technique application over the US

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.


Auto-Estimator application for flash flood: HURRICANE MITCH


Rainfall products available in real-timeRainfall products available in real-timehttp://orbit-net.nesdis.noaa.gov/arad/ht/ff/gilberto.html


Easy data distribution in GRADS formatEasy 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/


Centro de Predicción Numérica del Tiempo y Clima - Perú

http://www.met.igp.gob.pe/


User exampleUser example Date: Tue, 20 Apr 1999 16:00:09 -0300

From: "Ricardo d´Orsi" <[email protected]>

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

http://orbit-net.nesdis.noaa.gov/arad/ht/ff/gilberto.htm

tem sido de grande ajuda para nos.”


User exampleUser example

From: José Luís Moraes Ribeiro [mailto:[email protected]]Sent: Thursday, October 19, 2000 10:45 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.”


User example - Case study: Argentina/BrazilUser example - Case study: Argentina/Brazil

Daniel A. Vila - Sistema de Alerta Hidrológico de la Cuenca del Plata Instituto Nacional del Agua y del Ambiente (INA)

- 5 8 - 5 7 - 5 6 - 5 5 - 5 4 - 5 3

L ON GIT U D

- 3 2

- 3 1

- 3 0

- 2 9

- 2 8

LAT

ITU

DP asso S anta M aria

Rosario do S ul

M anoel Viana

Alegrete

P asso M ariano P into

LONGITUD

LATITUD


Validation - Case study: Argentina/Brazil/UruguayValidation - 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



Rainfall satellite estimation for Salto Grande Dam region - 21-22 May 2001

(mm) NUM BIAS (mm) CORR RMSE (mm) POD FAR SKILL

0 - 7 375 -6.60 0.82 12.00 0.95 0 0.77 7 - 26 338 -7.24 0.77 12.63 0.85 0.01 0.79 26 - 52 204 -8.48 0.59 14.57 0.55 0.12 0.83 52 - Hi 30 -21.53 0.80 24.55 0.33 0 0.76

WTAVG 2107 -9.33 0.71 14.63 0.69 0.05 0.80

(mm) NUM BIAS (mm) CORR RMSE (mm) POD FAR SKILL

0 - 7 321 -9.21 0.93 24.1 1.00 0.03 0.84 7 - 26 313 -9.49 0.92 24.4 0.92 0.06 0.86 26 - 52 210 -14.38 0.87 29.64 0.89 0.06 0.86 52 - Hi 145 -17.25 0.76 34.47 0.93 0.08 0.88

WTAVG 2947 -13.91 0.85 29.82 0.93 0.07 0.86 Rainfall satellite estimation for Salto Grande Dam region - 31 May / 1 June 2001



0

50

100

150

200

250

0 50 100 150 200 250

observed - (mm)

bes

t ad

just

ed e

stim

atio

n (

MV

E)

- (m

m)

Observed (mm)

Est

imate

d (

mm

)


Satellite data/products Satellite data/products

andand globalizationglobalizationThe Corporate ApproachThe Corporate Approach


TRMM Online AnalysesTRMM Online Analyses

NASA/GSFC – Distributed Active Archive Centerhttp://daac.gsfc.nasa.gov/


TRMM Accumulated RainfallTRMM Accumulated Rainfall

Area Plot Time Plot

TRMM Online data analyses

http://daac.gsfc.nasa.gov/CAMPAIGN_DOCS/trmm_online_analysis/


TRMM Rainfall RateTRMM Rainfall Rate

Area Plot Time Plot

TRMM Online data analyses

http://daac.gsfc.nasa.gov/CAMPAIGN_DOCS/trmm_online_analysis/


GPCP Multisat ProductGPCP Multisat ProductGlobal Precipitation Climatology Centre (GPCC)

Access to online Global precipitation analyses tools

http://www.dwd.de/research/gpcc/visualizer/visualizer.html


GPCC/GPCP Multisat ProductGPCC/GPCP Multisat Product

VariousFormats:

ASCIIARCVIEW GridGIFPOSTCRIPTPNG

http://www.dwd.de/research/gpcc/visualizer/visualizer.html

Arcview

ASCII


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

Data integration and interoperabilityData integration and interoperability


GIS: A tool to connect Hydrology and Meteorology

Land use (polygon)

Soil Type (polygon)

Gage Station (point)

Stream (line)

Watershed (polygon)


ConclusionConclusion 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

http://orbit-net.nesdis.noaa.gov/arad/ht/ff/gilberto.htm


Backup SlidesBackup Slides


In progressIn 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


COMPUTE SATELLITE RAINFALL RATE IN 1 X 1

DEGREE GRID

-10% < ERROR < +10%

ERROR < -10% ERROR = satellite - ground ERROR > +10%

T = T - 1 T = T + 1

EXIT

Auto-Estimator real-time adjustments with ground informationAuto-Estimator real-time adjustments with ground information


same rainfall

rate

h1 h2h

low PW1

low RH1

same cloud top

temperature

high PW2

high RH2

PW2 x RH2 > PW1 x

RH1

GROWTHRATEand

GRADIENTcorrection

s


Rainfall Contrasts on windward and leeward slopes

OROGRAPHIC CORRECTION


Orographic correction: wind x height

Estimates with orographic correction Estimates without orographic correction


Actual Actual Cloud Cloud PositioPositio

nn

Apparent Apparent Cloud Cloud

PositionPosition

SatelliteSatelliteLine-of-Sight Line-of-Sight

Parallax correction


PARALLAX

CORRECTION

Documents

II International LBA Scientific Conference – Gilberto Vicente, 07/02, Manaus Goddard Space Flight Center & Federal University of Vicosa – UFV NOAA – National