EVALUATION OF SATELLITE-DERIVED HIGH RESOLUTION RAINFALL ESTIMATES OVER EASTERN SÃO PAULO AND PARANÁ, BRAZIL Augusto J. Pereira Filho 1 Phillip Arkin 2.

Slides:



Advertisements
Similar presentations
Validation of Satellite Rainfall Estimates over the Mid-latitudes Chris Kidd University of Birmingham, UK.
Advertisements

CHARACTERISTICS OF THE PRECIPITATING SYSTEMS DURING THE 2002 DRY-TO-WET FIELD CAMPAIGN IN THE AMAZON REGION Carlos Augusto Morales 1,Luiz Augusto Toledo.
Precipitation in IGWCO The objectives of IGWCO require time series of accurate gridded precipitation fields with fine spatial and temporal resolution for.
Quantification of Spatially Distributed Errors of Precipitation Rates and Types from the TRMM Precipitation Radar 2A25 (the latest successive V6 and V7)
Validation of Satellite Precipitation Estimates for Weather and Hydrological Applications Beth Ebert BMRC, Melbourne, Australia 3 rd IPWG Workshop / 3.
Monitoring the Quality of Operational and Semi-Operational Satellite Precipitation Estimates – The IPWG Validation / Intercomparison Study Beth Ebert Bureau.
Rainfall Monitioring Using Dual-polarization Radars Alexander Ryzhkov National Severe Storms Laboratory / University of Oklahoma, USA.
Lessons learned in field studies about weather radar observations in the western US and other mountainous regions Socorro Medina and Robert Houze Department.
Intercomparing and evaluating high- resolution precipitation products M. R. P. Sapiano*, P. A. Arkin*, S. Sorooshian +, K. Hsu + * ESSIC, University of.
WORKSHOP ON PRECIPITATION MEASUREMENTS MADRID SEPTEMBER 2002 AN INTERCOMPARISON OF GAUGE, RADAR AND SATELLITE RAINFALL IN THE TROPICS A. J. Pereira.
COSMO General Meeting Zurich, 2005 Institute of Meteorology and Water Management Warsaw, Poland- 1 - Verification of the LM at IMGW Katarzyna Starosta,
Phil Arkin, Earth System Science Interdisciplinary Center University of Maryland, College Park (Presenter) J. Janowiak, M. Sapiano, D. Vila, ESSIC/UMCP.
The Evaluation of a Passive Microwave-Based Satellite Rainfall Estimation Algorithm with an IR-Based Algorithm at Short time Scales Robert Joyce RS Information.
Center for Hydrometeorology and Remote Sensing, University of California, Irvine Basin Scale Precipitation Data Merging Using Markov Chain Monte Carlo.
Fine-scale comparisons of satellite estimates Chris Kidd School of Geography, Earth and Environmental Sciences University of Birmingham.
Cooperative Institute of Climate Studies University of Maryland 2207 Computer & Spaces Sciences Bldg. College Park, MD Tel: (301) Fax:
National Lab for Remote Sensing and Nowcasting Dual Polarization Radar and Rainfall Nowcasting by Mark Alliksaar.
Technical Interchange Meeting Spring 2008: Status and Accomplishments.
Third Workshop of the International Precipitation Working Group October 23-27, 2006, Melbourne, Australia A CMORPH ANALYSIS OF THE CONVECTIVE REGIME OVER.
Latest results in verification over Poland Katarzyna Starosta, Joanna Linkowska Institute of Meteorology and Water Management, Warsaw 9th COSMO General.
Meteorological Data Analysis Urban, Regional Modeling and Analysis Section Division of Air Resources New York State Department of Environmental Conservation.
VALIDATION OF HIGH RESOLUTION PRECIPITATION PRODUCTS IN THE SOUTH OF BRAZIL WITH A DENSE GAUGE NETWORK AND WEATHER RADARS – FIRST RESULTS Cesar Beneti,
RAdio Detection And Ranging. Was originally for military use 1.Sent out electromagnetic radiation (Active) 2.Bounced off an object and returned to a listening.
3 rd INTERNATIONAL PRECIPITATION WORKING GROUP WORKSHOP October 2006, Melbourne, Australia EVALUATION OF HIGH RESOLUTION SATELLITE PRODUCTS UNDER.
VALIDATION AND IMPROVEMENT OF THE GOES-R RAINFALL RATE ALGORITHM Background Robert J. Kuligowski, Center for Satellite Applications and Research, NOAA/NESDIS,
Validation of Satellite-Derived Rainfall Estimates and Numerical Model Forecasts of Precipitation over the US John Janowiak Climate Prediction Center/NCEP/NWS.
Evaluation of gridded multi-satellite precipitation (TRMM -TMPA) estimates for performance in the Upper Indus Basin (UIB) Asim J Khan Advisor: Prof. Dr.
Satellite Precipitation Estimation and Nowcasting Plans for the GOES-R Era Robert J. Kuligowski NOAA/NESDIS Center for Satellite Applications and Research.
1 Validation for CRR (PGE05) NWC SAF PAR Workshop October 2005 Madrid, Spain A. Rodríguez.
Short Range Ensemble Prediction System Verification over Greece Petroula Louka, Flora Gofa Hellenic National Meteorological Service.
1 Inter-comparing high resolution satellite precipitation estimates at different scales Phil Arkin and Matt Sapiano Cooperative Institute for Climate Studies.
Operational verification system Rodica Dumitrache National Metorogical Administration ROMANIA.
NEXRAD Data Quality 25 August 2000 Briefing Boulder, CO Cathy Kessinger Scott Ellis Joe VanAndel Don Ferraro Jeff Keeler.
A new high resolution satellite derived precipitation data set for climate studies Renu Joseph, T. Smith, M. R. P. Sapiano, and R. R. Ferraro Cooperative.
An Evaluation of Aspects of Tropical Precipitation Forecasts from the ECMWF & NCEP Model Using CMORPH John Janowiak 1, M.R.P. Sapiano 1, P. A. Arkin 1,
G O D D A R D S P A C E F L I G H T C E N T E R TRMM Tropical Rainfall Measuring Mission 2nd GPM GV Workshop TRMM Ground Validation Some Lessons and Results.
Data Analysis of GPM Constellation Satellites-IMERG and ERA-Interim Precipitation Products over West of Iran Ehsan Sharifi 1, Reinhold Steinacker 1, and.
Phil Arkin, ESSIC University of Maryland With thanks to: Pingping Xie, John Janowiak, and Bob Joyce Climate Prediction Center/NOAA Describing the Diurnal.
VALIDATION OF HIGH RESOLUTION SATELLITE-DERIVED RAINFALL ESTIMATES AND OPERATIONAL MESOSCALE MODELS FORECASTS OF PRECIPITATION OVER SOUTHERN EUROPE 1st.
Evaluation of Precipitation from Weather Prediction Models, Satellites and Radars Charles Lin Department of Atmospheric and Oceanic Sciences McGill University,
Application of Probability Density Function - Optimal Interpolation in Hourly Gauge-Satellite Merged Precipitation Analysis over China Yan Shen, Yang Pan,
Performance Evaluation of Precipitation Retrievals over South-Eastern South America considering different climatic regions Paola Salio DCAO - CIMA – University.
Evaluation of TRMM satellite precipitation product in hydrologic simulations of La Plata Basin Fengge Su 1, Yang Hong 2, and Dennis P. Lettenmaier 1 1.
Validation of Satellite Rainfall Estimates over the Mid-latitudes Chris Kidd University of Birmingham, UK.
An Experimental Study of the Rainfall Variability in the Southern Delmarva Peninsula Part I: Climatology and Physical Variability Rigoberto Roche NASA.
Multi-Site and Multi-Objective Evaluation of CMORPH and TRMM-3B42 High-Resolution Satellite-Rainfall Products October 11-15, 2010 Hamburg, Germany Emad.
*CPC Morphing Technique
Augusto J. Pereira Filho1 Camila G. M. Ramos1 John E. Janowiak2
Dipartimento della Protezione Civile Italiana
A dual-polarization QPE method based on the NCAR Particle ID algorithm Description and preliminary results Michael J. Dixon1, J. W. Wilson1, T. M. Weckwerth1,
Systematic timing errors in km-scale NWP precipitation forecasts
Verifying Precipitation Events Using Composite Statistics
Multi-scale validation of high resolution precipitation products
An Experimental Study of the Rainfall Variability in the Southern Delmarva Peninsula Part I: Climatology and Physical Variability Rigoberto Roche NASA.
Requirements for microwave inter-calibration
COSMO Priority Project ”Quantitative Precipitation Forecasts”
Zhong Liu1,2, Dana Ostrenga1,3, William Teng1,4, and Steven Kempler1
Rain Gauge Data Merged with CMORPH* Yields: RMORPH
Validation of High-Resolution Precipitation Products over the U.S.
Analysis of NASA GPM Early 30-minute Run in Comparison to Walnut Gulch Experimental Watershed Rain Data Adolfo Herrera April Arizona Space Grant.
Validation of Satellite Precipitation Estimates using High-Resolution Surface Rainfall Observations in West Africa Paul A. Kucera and Andrew J. Newman.
University of Washington hydrological modeling in La Plata basin
Phil Arkin, ESSIC University of Maryland
Hydrologically Relevant Error Metrics for PEHRPP
Evaluation of the TRMM Multi-satellite Precipitation Analysis (TMPA) and its utility in hydrologic prediction in La Plata Basin Dennis P. Lettenmaier and.
2007 Mei-yu season Chien and Kuo (2009), GPS Solutions
An Inter-comparison of 5 HRPPs with 3-Hourly Gauge Estimates
12/12/2009 Gauge + Satellite Evaluation of precipitation from reanalyses and satellite products in Australia and East Asia Gauge only.
Short Range Ensemble Prediction System Verification over Greece
Presentation transcript:

EVALUATION OF SATELLITE-DERIVED HIGH RESOLUTION RAINFALL ESTIMATES OVER EASTERN SÃO PAULO AND PARANÁ, BRAZIL Augusto J. Pereira Filho 1 Phillip Arkin 2 Phillip Arkin 2 Joe Turk 3 John E. Janowiak 4 Cesar Beneti 5 Leonardo Calvetti 5 Ricardo Hallak 1 Felipe Vemado 1 1 DAC/IAG, University of São Paulo, Brazil 2 ESSIC, University of Maryland, College Park, USA 3 NRL, Marine Meteorology Division, USA 4 Climate Prediction Center/NOAA, USA 5 SIMEPAR, Paraná, Brazil PEHRPP Wokshop, Geneve, Switzerland December, 2007

São Paulo Paraná

Background PEHRPP Wokshop, Geneve, Switzerland December, 2007

HOURLY ACCUMULATION 2003 and 2004 (mm) (Pereira Filho et al., 2006) PEHRPP Wokshop, Geneve, Switzerland December, 2007

TIME OF MAXIMUM RAINFALL (mm) (UTC) 2003 and 2004 (Pereira Filho et al., 2006) PEHRPP Wokshop, Geneve, Switzerland December, 2007

3 rd INTERNATIONAL PRECIPITATION WORKING GROUP WORKSHOP October 2006, Melbourne, Australia RADAR X SATELLITE Total Rainfall 1 = Ground Clutter Filtering (2 and 3) 4 = Grind Clutter Contamination 5 = Range Effect 7 = Signal Processing (Pereira Filho et al., 2002)

Program for the Evaluation of High Resolution Precipitation Products (PEHRPP) coordinated by ESSIC and NRL. Goal is to compare and to validate these high resolution datasets. PEHRPP Wokshop, Geneve, Switzerland December, 2007

Estimated Observed False alarms Hits Misses Observed yesno yeshits false alarms nomisses correct negatives Estimated Contingency Table (Elbert, 2003)

False alarm ratio Probability of detection Critical success index Bias score Correlation coefficient Root mean square error 2 1 )( 1 i N i i OE N RMSE   

SPWR RAINFALL ESTIMATES X CMORPH, TRMM, PERSIANN and NRL- BLENDED (m) São Paulo, Brazil. Workshop on the EHRPP Geneve, Switzerland, December, 2007

SPWR DATASETS: 10/2005 TO 03/2006; SATELLITE PRECIPITATION DATA: 0.25 DEGREE X 3-HOUR; SYSTEM TYPES: COLD FRONT, RAIN BANDS, ORDINARY CONVECTION COLD FRONT, RAIN BANDS, ORDINARY CONVECTION, SQUALL LINES PEHRPP Wokshop, Geneve, Switzerland December, 2007

EXAMPLES PEHRPP Wokshop, Geneve, Switzerland December, 2007

COLD FRONT Workshop on the EHRPP Geneve, Switzerland, December, 2007

RAIN BANDS PEHRPP Wokshop, Geneve, Switzerland December, 2007

3 rd INTERNATIONAL PRECIPITATION WORKING GROUP WORKSHOP October 2006, Melbourne, Australia ORDINARY CONVECTION

0,1 mm 0,2 mm 1,0 mm 4,0 mm OVERALL RESULTS All data sets available 10/05 to 03/06 PEHRPP Wokshop, Geneve, Switzerland December, 2007

DISCUSSION (SP) Coordinate discrepancies;Coordinate discrepancies; Phase and amplitude errors;Phase and amplitude errors; All four methods yielded poor results;All four methods yielded poor results; Radar rainfall accumulation higher than satellite ones;Radar rainfall accumulation higher than satellite ones; Radar data with range effect and other problems;Radar data with range effect and other problems; Best performance for low rainfall accumulation: CMORPH;Best performance for low rainfall accumulation: CMORPH; Best performance for higher accumulation: PERSIANN;Best performance for higher accumulation: PERSIANN; Fewer data for PERSIANN;Fewer data for PERSIANN; All methods are limited;All methods are limited; Need for rain gauges and stream gauges verification.Need for rain gauges and stream gauges verification. PEHRPP Wokshop, Geneve, Switzerland December, 2007

PARANA STATE Satellite techniques: CMORPH (Joyce et. al., 2004), PERSIANN (Sorooshian et al., 2000), TRMM (Huffman et. al., 1997), NRLB (Turk et. al., 2003) and CST (Adler e Negri, 1998). Data 141 weather stations over Parana State Methodology 1) Observed and estimated 0.25° spatial resolution over 56°W – 46.75°W and 27°S-21.75°S for 1 day to a month accumulation. 2)Period: January 2003 – December )Rain/non-rain threshold: 0.3mm/day and 20mm/month; 4)Statistics: average, variance, bias, POD FAR, ETS, MSE, correlation coefficient; 5)Hovmoller diagrams. PEHRPP Wokshop, Geneve, Switzerland December, 2007

Hovmöller Diagrams GAUGE CMORPH TRMM PERSIANN NRLB CST mm/month

Monthly Accumulation October 2005 May 2005 BIAS POD FAR COR RMSE GAUGE AVE SAT AVE GAUGE VAR SAT VAR NRLB CST GAUGE NRLBCST TRMM mm/month BIAS 0.95 POD 0.95 FAR 0.00 COR 0.79 RMSE GAUGE AVE SAT AVE GAUGE VAR SAT VAR TRMM Observed Estimated

Monthly Accumulations - Spatial BIAS (Jan/ Dec/2005)

Daily Accumulation November 17th, 2003 May 12th, 2004 BIAS 1.05 POD 0.99 FAR 0.05 COR 0.64 RMSE GAUGE AVE SAT AVE GAUGE VAR SAT VAR 8.59 BIAS 0.99 POD 0.96 FAR 0.03 COR 0.75 RMSE GAUGE AVE SAT AVE GAUGE VAR SAT VAR CMORPH TRMM Observed Estimated Observed Estimated

Discussion (PR) Hovmöller diagrams indicate good agreement between satellite-derived estimates and gauges, though amplitude differences are significant. Monthly satellite-derived accumulations better for January, May and October. Daily values highly variable. PEHRPP Wokshop, Geneve, Switzerland December, 2007

3 rd INTERNATIONAL PRECIPITATION WORKING GROUP WORKSHOP October 2006, Melbourne, Australia Polarimetric Data Sets

Mobile Weather Radar Doppler Dual X-band (MXPOL) Hydrometeorology Lab (LabHidro) – Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG), University of São Paulo.

MXPOL 4,5 o PPI at 2119 UTC on 26 April ZhZh VrVr W K dp  o hv

SPWR 3-km CAPPI 1-km x 1-km resolution at 1616 UTC on 22 May MXPOL at (23 o 33.4’S; 46 o 44.1’W). São Paulo City sounding (83779) at 1200 UTC on 22 May 2007.

MXPOL vertical profiles at 1616 UTC on 22 May Full clockwise antenna scan (6.0 o s o, pulse width = 0.2  s, PRF=1000 Hz and 256 samples,  z=35m. Vertical profile - Z h Vertical profile - W Vertical profile - V r

MXPOL vertical profiles at 1616 UTC on 22 May Full clockwise antenna scan (6.0 o s o, pulse width = 0.2  s, PRF=1000 Hz and 256 samples,  z=35m. Vertical profile - K dp Vertical profile - Z dr Vertical profile -  o hv Vertical profile -  dp

THE END Work supported by: FAPESP and CNPq (BRAZIL) FAPESP and CNPq (BRAZIL) NCAR and ESSIC (USA) NCAR and ESSIC (USA) WMO WMO PEHRPP Wokshop, Geneve, Switzerland December, 2007