Validation of Satellite-Derived Rainfall Estimates and Numerical Model Forecasts of Precipitation over the US John Janowiak Climate Prediction Center/NCEP/NWS.

Slides:



Advertisements
Similar presentations
Precipitation in IGWCO The objectives of IGWCO require time series of accurate gridded precipitation fields with fine spatial and temporal resolution for.
Advertisements

Multiple Sensor Precipitation Estimation over Complex Terrain AGENDA I. Paperwork A. Committee member signatures B. Advisory conference requirements II.
Empirical Analysis and Statistical Modeling of Errors in Satellite Precipitation Sensors Yudong Tian, Ling Tang, Robert Adler, and Xin Lin University of.
Validation of Satellite Precipitation Estimates for Weather and Hydrological Applications Beth Ebert BMRC, Melbourne, Australia 3 rd IPWG Workshop / 3.
A Global Daily Gauge-based Precipitation Analysis, Part I: Assessing Objective Techniques Mingyue Chen & CPC Precipitation Working Group CPC/NCEP/NOAA.
Characteristics of High-Resolution Satellite Precipitation Products in Spring and Summer over China Yan Shen 1, A.-Y. Xiong 1 Pingping Xie 2 1. National.
Monitoring the Quality of Operational and Semi-Operational Satellite Precipitation Estimates – The IPWG Validation / Intercomparison Study Beth Ebert Bureau.
6 th SMOS Workshop, Lyngby, DK Using TMI derived soil moisture to initialize numerical weather prediction models: Impact studies with ECMWF’s.
Where (not) to measure rainfall Neil I. Fox University of Missouri - Columbia.
FTIPP FCLIM / TRMM / IRP Precipitation Pentads
Activity of SMHI (Swedish Meteorological and Hydrological Institute) Presentation for CARPE DIEM kick-off meeting, DLR-GERMANY, January Contact.
1 Improved Sea Surface Temperature (SST) Analyses for Climate NOAA’s National Climatic Data Center Asheville, NC Thomas M. Smith Richard W. Reynolds Kenneth.
Infusing Information from SNPP and GOES-R Observations for Improved Monitoring of Weather, Water and Climate Pingping Xie, Robert Joyce, Shaorong Wu and.
How low can you go? Retrieval of light precipitation in mid-latitudes Chris Kidd School of Geography, Earth and Environmental Science The University of.
CARPE DIEM Centre for Water Resources Research NUID-UCD Contribution to Area-3 Dusseldorf meeting 26th to 28th May 2003.
The IPWG* Precipitation Validation Program The IPWG* Precipitation Validation Program Phillip A. Arkin and John Janowiak ESSIC/University of MarylandINTRODUCTION.
A Kalman Filter Approach to Blend Various Satellite Rainfall Estimates in CMORPH Robert Joyce NOAA/NCEP/CPC Wyle Information Systems Pingping Xie NOAA/NCEP/CPC.
49 COMET Hydrometeorology 00-1 Matt Kelsch Tuesday, 19 October 1999 Radar-Derived Precipitation Part 3 I.Radar Representation of.
The Evaluation of a Passive Microwave-Based Satellite Rainfall Estimation Algorithm with an IR-Based Algorithm at Short time Scales Robert Joyce RS Information.
John Janowiak Climate Prediction Center/NCEP/NWS Jianyin Liang China Meteorological Agency Pingping Xie Climate Prediction Center/NCEP/NWS Robert Joyce.
CPC Unified Gauge – Satellite Merged Precipitation Analysis for Improved Monitoring and Assessments of Global Climate Pingping Xie, Soo-Hyun Yoo,
Swedish Meteorological and Hydrological Institute SE Norrköping, SWEDEN COMPARISON OF AREAL PRECIPITATION ESTIMATES: A CASE STUDY FOR A CENTRAL.
June 12, 2009F. Iturbide-Sanchez MIRS F16 Rainfall Rate Overview and Validation F. Iturbide-Sanchez, K. Garrett, C. Grassotti, W. Chen, and S.-A. Boukabara.
We carried out the QPF verification of the three model versions (COSMO-I7, COSMO-7, COSMO-EU) with the following specifications: From January 2006 till.
SOME EXPERIENCES ON SATELLITE RAINFALL ESTIMATION OVER SOUTH AMERICA. Daniel Vila 1, Inés Velasco 2 1 Sistema de Alerta Hidrológico - Instituto Nacional.
Robert Hartman Acting Director NWS Office of Hydrologic Development GPM in the NOAA Integrated Water Forecasting Program.
Latest results in verification over Poland Katarzyna Starosta, Joanna Linkowska Institute of Meteorology and Water Management, Warsaw 9th COSMO General.
Combining CMORPH with Gauge Analysis over
1 Climate Test Bed Seminar Series 24 June 2009 Bias Correction & Forecast Skill of NCEP GFS Ensemble Week 1 & Week 2 Precipitation & Soil Moisture Forecasts.
Model representation of the diurnal cycle and moist surges along the Gulf of California during NAME Emily J. Becker and Ernesto Hugo Berbery Department.
Satellite-derived Rainfall Estimates over the Western U.S.: Fact or Fiction? John Janowiak Bob Joyce Pingping Xie Phil Arkin Mingyue Chen Yelena Yarosh.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Quantitative precipitation forecast in the Alps Verification.
A Global Kalman Filtered CMORPH using TRMM to Blend Satellite Rainfall Robert Joyce NOAA/NCEP/CPC Wyle Information Systems Pingping Xie NOAA/NCEP/CPC John.
Verification of Precipitation Areas Beth Ebert Bureau of Meteorology Research Centre Melbourne, Australia
Evaluation of gridded multi-satellite precipitation (TRMM -TMPA) estimates for performance in the Upper Indus Basin (UIB) Asim J Khan Advisor: Prof. Dr.
Diurnal Cycle of Cloud and Precipitation Associated with the North American Monsoon System Pingping Xie, Yelena Yarosh, Mingyue Chen, Robert Joyce, John.
1 Inter-comparing high resolution satellite precipitation estimates at different scales Phil Arkin and Matt Sapiano Cooperative Institute for Climate Studies.
Surface Net SW Radiation Latitude Clouds Albedo Source Reanalysis for
Using TIGGE Data to Understand Systematic Errors of Atmospheric River Forecasts G. Wick, T. Hamill, P. Neiman, and F.M. Ralph NOAA Earth System Research.
Diurnal Cycle of Precipitation Based on CMORPH Vernon E. Kousky, John E. Janowiak and Robert Joyce Climate Prediction Center, NOAA.
Data Analysis of GPM Constellation Satellites-IMERG and ERA-Interim Precipitation Products over West of Iran Ehsan Sharifi 1, Reinhold Steinacker 1, and.
11 Short-Range QPF for Flash Flood Prediction and Small Basin Forecasts Prediction Forecasts David Kitzmiller, Yu Zhang, Wanru Wu, Shaorong Wu, Feng Ding.
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.
Application of Probability Density Function - Optimal Interpolation in Hourly Gauge-Satellite Merged Precipitation Analysis over China Yan Shen, Yang Pan,
NWS Precipitation Analysis Product Victor Murphy NWS Southern Region Climate Service Program Mgr. 5 th US Drought Monitor Forum Portland, OR October 11,
“CMORPH” is a method that creates spatially & temporally complete information using existing precipitation products that are derived from passive microwave.
An Examination of the Diurnal Cycle in the NCEP GFS (and Eta) Model Precipitation Forecasts (during NAME) John Janowiak, Valery Dagostaro*, Vern Kousky,
Performance Evaluation of Precipitation Retrievals over South-Eastern South America considering different climatic regions Paola Salio DCAO - CIMA – University.
Validation of Satellite Rainfall Estimates over the Mid-latitudes Chris Kidd University of Birmingham, UK.
EVALUATION OF SATELLITE-DERIVED HIGH RESOLUTION RAINFALL ESTIMATES OVER EASTERN SÃO PAULO AND PARANÁ, BRAZIL Augusto J. Pereira Filho 1 Phillip Arkin 2.
High Resolution Gauge – Satellite Merged Analyses of Precipitation: A 15-Year Record Pingping Xie, Soo-Hyun Yoo, Robert Joyce, Yelena Yarosh, Shaorong.
A Prototype Algorithm for Gauge – Satellite Merged Analysis of Daily Precipitation over Land
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
Bob Livezey and Marina Timofeyeva
Satellite Rainfall Performance and Hydrologic Forecasting Applications
The Evaluation of Precipitation Information from Satellites and Models
Verifying Precipitation Events Using Composite Statistics
Multi-scale validation of high resolution precipitation products
COSMO Priority Project ”Quantitative Precipitation Forecasts”
Soo-Hyun Yoo and Pingping Xie
*CPC Morphing Technique
Rain Gauge Data Merged with CMORPH* Yields: RMORPH
Validation of High-Resolution Precipitation Products over the U.S.
Validation of Satellite Precipitation Estimates using High-Resolution Surface Rainfall Observations in West Africa Paul A. Kucera and Andrew J. Newman.
Phil Arkin, ESSIC University of Maryland
Evaluation of the TRMM Multi-satellite Precipitation Analysis (TMPA) and its utility in hydrologic prediction in La Plata Basin Dennis P. Lettenmaier and.
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.
Presentation transcript:

Validation of Satellite-Derived Rainfall Estimates and Numerical Model Forecasts of Precipitation over the US John Janowiak Climate Prediction Center/NCEP/NWS 2 nd Int’l Precipitation Working Group - October 26, 2004

Work is modeled after the pioneering effort of Dr. Beth Ebert (BMRC/Australian BOM) U.S. Validation at:

Validation Data Set station reports daily - 06Z – 06Z accumulation period - Data analyzed using a Cressman-type scheme - Error characteristics of validation data are NOT known - Validation area matched for all estimates (if missing in one, made missing in all) Typical Station Distribution

Validation Results

Cold Season Precipitation Amt. (Jan 2004)

Cold Season Precipitation Diff. (Jan 2004)

Warm Season Precipitation Amt. (Jun 2004)

Warm Season Precipitation Diff. (Jun 2004)

Validation Data Set Typical Station Distribution

CPC gauge analysis ( Aug 2003) CMORPH analysis ( Aug 2003) CMORPH with evap. adjustment

Bias Ratio (areal coverage)

west east

BIAS Ratio (estimated mean / gauge mean)

west east

Mean precip. for entire US (not to scale)

Contribution to June 2004 Total Rainfall by Daily Rainfall Amount Heaviest 10% of daily rainfall events

CONCLUSIONS 1. Merging PMW & IR estimates provides more accurate estimates of precipitation than the separate components can

CONCLUSIONS 1. Merging PMW & IR estimates provides more accurate estimates of precipitation than the separate components can 2. Two major systematic biases are apparent in the satellite estimates: a. OVERestimation over snow-covered regions b. OVERestimation in semi-arid regions during the warm season

CONCLUSIONS 1. Merging PMW & IR estimates provides more accurate estimates of precipitation than the separate components can 2. Two major systematic biases are apparent in the satellite estimates: a. OVERestimation over snow-covered regions b. OVERestimation in semi-arid regions during the warm season 3. NWP forecasts generally outperform blended satellite estimates and radar during the winter season over the U.S.

The End

Effects of Interpolating the Data

POD FAR Probability of Detection/False Alarm Ratio

POD FAR east west Probability of Detection/False Alarm Ratio

POD FAR east west Probability of Detection/False Alarm Ratio

POD FAR Probability of Detection/False Alarm Ratio July 2004

POD FAR Probability of Detection/False Alarm Ratio July 2004 January 2004

CMORPH vs. gauge over ‘NAME*’ zones *North American Monsoon Experiment (2004)

CPC gauge analysis ( Aug 2003) CMORPH analysis ( Aug 2003)

CMORPH with RH adjustment vs. gauge over ‘NAME’ zones

Statistics over 9 NAME Zones Evap. adjusted

Distribution of Daily Precipitation Amounts for June >90

Distribution of Daily Precipitation Amounts for Jan 1-22, 2004

Bias Ratio (areal coverage)

west east

BIAS Ratio (mean radar/ mean gauge)

west east

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2024 SlidePlayer.com Inc. All rights reserved.