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.

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

Quantification of Spatially Distributed Errors of Precipitation Rates and Types from the TRMM Precipitation Radar 2A25 (the latest successive V6 and V7)

Empirical Analysis and Statistical Modeling of Errors in Satellite Precipitation Sensors Yudong Tian, Ling Tang, Robert Adler, and Xin Lin University of.

CHG rainfall products Make best possible rainfall products for monitoring crop stress in areas of rain fed agriculture. Objectives:

Calibration of GOES-R ABI cloud products and TRMM/GPM observations to ground-based radar rainfall estimates for the MRMS system – Status and future plans.

CHG Station Climatology Database (CSCD)

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.

Operational Seasonal Forecasting for Bangladesh: Application of quantile-to-quantile mapping Tom Hopson Peter Webster Hai-Ru Chang Climate Forecast Applications.

The Climate Prediction Center Rainfall Estimation Algorithm Version 2 Tim Love -- RSIS/CPC.

Monitoring the Quality of Operational and Semi-Operational Satellite Precipitation Estimates – The IPWG Validation / Intercomparison Study Beth Ebert Bureau.

Intercomparing and evaluating high- resolution precipitation products M. R. P. Sapiano*, P. A. Arkin*, S. Sorooshian +, K. Hsu + * ESSIC, University of.

FTIPP FCLIM / TRMM / IRP Precipitation Pentads

Using the NWC SAF products over South Africa and southern Africa to enhance nowcasting capabilities in data sparse regions E de Coning, Morne Gijben, Louis.

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.

The IPWG* Precipitation Validation Program The IPWG* Precipitation Validation Program Phillip A. Arkin and John Janowiak ESSIC/University of MarylandINTRODUCTION.

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.

Simultaneous Presence of 30 and 60 days ISO modes in Indian Summer Monsoon Observed from TRMM Merged Rainfall Data M S Narayanan National Atmospheric Research.

CPC Unified Gauge – Satellite Merged Precipitation Analysis for Improved Monitoring and Assessments of Global Climate Pingping Xie, Soo-Hyun Yoo,

Erich Franz Stocker * and Yimin Ji + * NASA Goddard Space Flight Center, + Wyle Inc/PPS The Global Precipitation Measurement (GPM) Mission: GPM Near-realtime.

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.

A combined microwave and infrared radiometer approach for a high resolution global precipitation map in the GSMaP Japan Tomoo Ushio, K. Okamoto, K. Aonashi,

Fine-scale comparisons of satellite estimates Chris Kidd School of Geography, Earth and Environmental Sciences University of Birmingham.

1 The GOES-R Rainfall Rate / QPE Algorithm Status May 1, 2011 Presented By: Bob Kuligowski NOAA/NESDIS/STAR.

GAUGES – RADAR – SATELLITE COMBINATION Prof. Eng. Ezio TODINI

Combining CMORPH with Gauge Analysis over

Global Flood and Drought Prediction GEWEX 2005 Meeting, June Role of Modeling in Predictability and Prediction Studies Nathalie Voisin, Dennis P.

3 rd INTERNATIONAL PRECIPITATION WORKING GROUP WORKSHOP October 2006, Melbourne, Australia EVALUATION OF HIGH RESOLUTION SATELLITE PRODUCTS UNDER.

Satellite-derived Rainfall Estimates over the Western U.S.: Fact or Fiction? John Janowiak Bob Joyce Pingping Xie Phil Arkin Mingyue Chen Yelena Yarosh.

Distributed Hydrologic Modeling-- Jodi Eshelman Analysis of the Number of Rain Gages Required to Calibrate Radar Rainfall for the Illinois River Basin.

VALIDATION AND IMPROVEMENT OF THE GOES-R RAINFALL RATE ALGORITHM Background Robert J. Kuligowski, Center for Satellite Applications and Research, NOAA/NESDIS,

CPC Unified Precipitation Project Pingping Xie, Wei Shi, Mingyue Chen and Sid Katz NOAA’s Climate Prediction Center

5-6 June 2008CEOS Precipitation Constellation Workshop – Tokyo, Japan NOAA Status Report to the CEOS Precipitation Constellation Ralph Ferraro Center for.

Evaluation of Passive Microwave Rainfall Estimates Using TRMM PR and Ground Measurements as References Xin Lin and Arthur Y. Hou NASA Goddard Space Flight.

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.

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

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.

Institute of Environmental Sciences (ICAM) University of Castilla-La Mancha (UCLM), Toledo, Spain 2nd GPM GV Meeting, Taipei, Taiwan 27-29/Sep/2005 Ground.

Liang Liao Goddard Earth Sciences & Technology Research Morgan State University Greenbelt, MD Robert Meneghini NASA/Goddard Space Flight Center Greenbelt,

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.

Modeling Errors in Satellite Data Yudong Tian University of Maryland & NASA/GSFC Sponsored by NASA ESDR-ERR Program.

Diurnal Cycle of Precipitation Based on CMORPH Vernon E. Kousky, John E. Janowiak and Robert Joyce Climate Prediction Center, NOAA.

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.

A Physically-based Rainfall Rate Algorithm for the Global Precipitation Mission Kevin Garrett 1, Leslie Moy 1, Flavio Iturbide-Sanchez 1, and Sid-Ahmed.

Application of Probability Density Function - Optimal Interpolation in Hourly Gauge-Satellite Merged Precipitation Analysis over China Yan Shen, Yang Pan,

“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,

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

Heading Toward Launch with the

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

Zhong Liu1,2, Dana Ostrenga1,3, William Teng1,4, and Steven Kempler1

Soo-Hyun Yoo and Pingping Xie

Errors in Satellite-based Precipitation Estimates Over Land

*CPC Morphing Technique

Rain Gauge Data Merged with CMORPH* Yields: RMORPH

Validation of Satellite Precipitation Estimates using High-Resolution Surface Rainfall Observations in West Africa Paul A. Kucera and Andrew J. Newman.

Global Satellites Mapping of Precipitation Project in Japan (GSMaP) - Microwave and Infrared combined algorithm - K. Okamoto, T. Ushio, T. Iguchi, N. Takahashi…...../

Phil Arkin, ESSIC University of Maryland

Evaluating Satellite Rainfall Products for Hydrological Applications

An Inter-comparison of 5 HRPPs with 3-Hourly Gauge Estimates

Bob Kuligowski, Clay Davenport, Rod Scofield, Gilberto Vicente

Presentation transcript:

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 Yelena Yarosh NOAA/NCEP/CPC Wyle Information Systems International Precipitation Working Group 4 October 12-16, Beijing China.

1. Current CMORPH operational status 2. Evaluation of CMORPH components 3. CMORPH Kalman filter versions 4. Gauge adjusted CMORPH 5. Conclusions and Future plans Outline

Update on Retrospective CMORPH Processing Currently CMORPH archive extended backward from 7 December thru 30 October 2002 Improved quality of retrospective CMORPH relative to operational CMORPH in early Dec 2002 Reprocessing rate is currently 4 days per working day ftp.cpc.ncep.noaa.gov: precip/global_CMORPH_3-hourly_0.25deg /

Correlation of 0.25 degree lat/lon propagated PMW rainfall w/ Stage II radar rainfallCorrelation of 0.25 degree lat/lon propagated PMW rainfall w/ Stage II radar rainfall JJAS 2007JJAS 2007

Cumulative rain rate distribution of Kalman filtered rainfall, PDF adjusted Kalman filtered, and radar rainfall.

IPWG U.S. daily 0.25 degree rainfall validation Kalman filter CMORPH no PDF adjustment Kalman filter CMORPH PDF adjusted NEXRAD Stage II radar rainfall

Cross-Validation Tests over China Time Series Cross-Validation Tests over China May-Sept 2007 Time Series Gauge-adjusted CMORPH see poster by Xiong session 2B

Cross-Validation Test Summary Combined space / time domain CMORPH Bias (%) Correlation Original-9.7%0.706 Adjusted (7days) -0.0%0.785  Successful correction of the bias;  Substantial improvements in correlation

1. Retrospective CMORPH reprocessing is underway! Will update ftp archives after a few more QC checks … looks good so far. 2. For convective-dominated rainfall regimes, the inclusion of the IR derived estimates in the Kalman filtering process substantially improves the combined satellite rainfall product. 3. Use of instantaneous rain rate PDFs eliminate the rain rate damping and increase of spatial coverage created by the filtering process. 4. The gauge adjusted CMORPH tests over China have encouraging results for both increase in skill and reduction in bias. SUMMARY

Continue retrospective CMORPH reprocessing … our goal is to have CMORPH back to beginning of TRMM era (Jan 1998) by October Will fuse IR derived estimates for pre-AMSU period. Translate lessons learned from this NEXRAD study for use with TRMM TMI (GPM in the future) for regional/seasonal depiction of skill/error variance of each sensor/algorithm. Continue gauge adjusted CMORPH project to achieve globally adjusted product FUTURE WORK