AMSR-E Ocean Rainfall Algorithm Status

Slides:



Advertisements
Similar presentations
The Original TRMM Science Objectives An assessment 15 years after launch Christian Kummerow Colorado State University 4 th International TRMM/GPM Science.
Advertisements

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.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
MICROWAVE RAINFALL RETRIEVALS AND VALIDATIONS R.M. GAIROLA, S. POHREL & A.K. VARMA OSD/MOG SAC/ISRO AHMEDABAD.
Updates to AMSR-E GPROF over Land Rain Algorithm & Applications to AMSR-2 Ralph Ferraro 1,2, Patrick Meyers 2, Nai-Yu Wang 2, Dave Randel 3, Chris Kummerow.
ATS 351 Lecture 8 Satellites
Use of TRMM for Analysis of Extreme Precipitation Events Largest Land Daily Rainfall (mm/day)
MWR Algorithms (Wentz): Provide and validate wind, rain and sea ice [TBD] retrieval algorithms for MWR data Between now and launch (April 2011) 1. In-orbit.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 NOAA Operational Geostationary Sea Surface Temperature Products from NOAA.
Recent activities on utilization of microwave imager data in the JMA NWP system - Preparation for AMSR2 data assimilation - Masahiro Kazumori Japan Meteorological.
Erich Franz Stocker * and Yimin Ji + * NASA Goddard Space Flight Center, + Wyle Inc/PPS The Global Precipitation Measurement (GPM) Mission: GPM Near-realtime.
Testing of V1. GPM algorithm of rainfall retrieval from microwave brightness temperatures - preliminary results using TRMM observations Chuntao Liu Department.
MIIDAPS Status – 13 th JCSDA Technical Review and Science Workshop, College Park, MD Quality Control-Consistent algorithm for all sensors to determine.
Yimin Ji - Page 1 October 5, 2010 Global Precipitation Measurement (GPM) mission Precipitation Processing System (PPS) Yimin Ji NASA/GSFC,
September 4 -5, 2013Dawn Conway, AMSR-E / AMSR2 TLSCF Lead Software Engineer AMSR-E / AMSR2 Team Leader Science Computing Facility Current Science Software.
SMOS+ STORM Evolution Kick-off Meeting, 2 April 2014 SOLab work description Zabolotskikh E., Kudryavtsev V.
Megha Tropiques (GP Retrieval and Applications plan) Vijay K. Agarwal, MOG/SAC Oct , 2005.
Precipitation Retrievals Over Land Using SSMIS Nai-Yu Wang 1 and Ralph R. Ferraro 2 1 University of Maryland/ESSIC/CICS 2 NOAA/NESDIS/STAR.
A Combined Radar/Radiometer Retrieval for Precipitation IGARSS – Session 1.1 Vancouver, Canada 26 July, 2011 Christian Kummerow 1, S. Joseph Munchak 1,2.
25 June 2009 Dawn Conway, AMSR-E TLSCF Lead Software Engineer AMSR-E Team Leader Science Computing Facility.
A NON-RAINING 1DVAR RETRIEVAL FOR GMI DAVID DUNCAN JCSDA COLLOQUIUM 7/30/15.
Level 2 Algorithm. Definition of Product Levels LevelDescription Level 1 1A Reconstructed unprocessed instrument data 1B Geolocated, calibrated sensor.
HDF-EOS at NOAA/NESDIS NOAA / NESDIS / ORA orbit-net.nesdis.noaa.gov/arad2/MSPPS Huan Meng, Doug Moore, Limin Zhao, Ralph Ferraro NOAA / NESDIS.
Meteorological Data Analysis Urban, Regional Modeling and Analysis Section Division of Air Resources New York State Department of Environmental Conservation.
An Intercalibrated Microwave Radiance Product for Use in Rainfall Estimation Level 1C Christian Kummerow, Wes Berg, G. Elsaesser Dept. of Atmospheric Science.
AMSR-E Ocean Rainfall Algorithm Status AMSR-E Science Team Meeting Huntsville, AL 2-3 June, 2010 C. Kummerow Colorado State University.
Matthew Miller and Sandra Yuter Department of Marine, Earth, and Atmospheric Sciences North Carolina State University Raleigh, NC USA Phantom Precipitation.
The Relation Between SST, Clouds, Precipitation and Wave Structures Across the Equatorial Pacific Anita D. Rapp and Chris Kummerow 14 July 2008 AMSR Science.
Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information.
Megha Tropiques MADRAS algorithm status: BRAIN Franck Chopin (LMD/ICARE) Nicolas Viltard (CETP)
Land Surface Modeling Studies in Support of AQUA AMSR-E Validation PI: Eric F. Wood, Princeton University Project Goal: To provide modeling support to.
Clouds and Precipitation Christian Kummerow Colorado State University ISCCP 25 Year Anniversary New York, NY 25 July 2008.
A New Inter-Comparison of Three Global Monthly SSM/I Precipitation Datasets Matt Sapiano, Phil Arkin and Tom Smith Earth Systems Science Interdisciplinary.
Trends & Variability of Liquid Water Clouds from Eighteen Years of Microwave Satellite Data: Initial Results 6 July 2006 Chris O’Dell & Ralf Bennartz University.
Evaluation of Passive Microwave Rainfall Estimates Using TRMM PR and Ground Measurements as References Xin Lin and Arthur Y. Hou NASA Goddard Space Flight.
Kazumasa Aonashi (MRI/JMA) Takuji Kubota (Osaka Pref. Univ.) Nobuhiro Takahashi (NICT) 3rd IPWG Workshop Oct.24, 2006 Developnemt of Passive Microwave.
A Global Rainfall Validation Strategy Wesley Berg, Christian Kummerow, and Tristan L’Ecuyer Colorado State University.
Response of active and passive microwave sensors to precipitation at mid- and high altitudes Ralf Bennartz University of Wisconsin Atmospheric and Oceanic.
Finalizing the AMSR-E Rainfall Algorithm GPROF2010 AMSR-E Science Team Meeting Oxnard, CA 4-5 September, 2013 Dave Randel Colorado State University.
AMSR-E Ocean Rainfall Algorithm Status AMSR-E Science Team Meeting Asheville, NC June, 2011 C. Kummerow Colorado State University.
Locally Optimized Precipitation Detection over Land Grant Petty Atmospheric and Oceanic Sciences University of Wisconsin - Madison.
TRMM TMI Rainfall Retrieval Algorithm C. Kummerow Colorado State University 2nd IPWG Meeting Monterey, CA. 25 Oct Towards a parametric algorithm.
Retrieval Algorithms The derivations for each satellite consist of two steps: 1) cloud detection using a Bayesian Probabilistic Cloud Mask; and 2) application.
The Inter-Calibration of AMSR-E with WindSat, F13 SSM/I, and F17 SSM/IS Frank J. Wentz Remote Sensing Systems 1 Presented to the AMSR-E Science Team June.
AMSR Team Meeting September 16, 2015 AMSR2 Rainfall Algorithm Update Christian Kummerow Colorado State University.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
A step toward operational use of AMSR-E horizontal polarized radiance in JMA global data assimilation system Masahiro Kazumori Numerical Prediction Division.
A New Ocean Suite Algorithm for AMSR2 David I. Duncan September 16 th, 2015 AMSR Science Team Meeting Huntsville, AL.
Atmospheric profile and precipitation properties derived from radar and radiosondes during RICO Louise Nuijens With thanks to: Bjorn Stevens (UCLA) Margreet.
Active and passive microwave remote sensing of precipitation at high latitudes R. Bennartz - M. Kulie - C. O’Dell (1) S. Pinori – A. Mugnai (2) (1) University.
September 11-12, 2012Dawn Conway, AMSR-E TLSCF Lead Software Engineer AMSR-E Team Leader Science Computing Facility New Browse Images Current Science Software.
PoDAG XXV, 26 Oct SSM/I Update (with some AMSR-E) Walt Meier.
AQUA AMSR-E MODIS POES AVHRR TRMM TMI ENVISAT AATSR Multi-satellite, multi-sensor data fusion: global daily 9 km SSTs from MODIS, AMSR-E, and TMI
JAXA Agency Report Misako Kachi
T. Meissner, F. Wentz, J. Scott, K. Hilburn Remote Sensing Systems 2014 Aquarius / SAC-D Science Team Meeting November , 2014.
Accessing Global Precipitation Data Products via TRMM Online Visualization and Analysis System (TOVAS) Zhong Liu Center for Spatial Information Science.
SOLab work description
Progress Report I: Simulation of GOES Radiances for OSSE
TOWARDS A CLIMATE DATA RECORD OF PRECIPITATION FROM SATELLITE MICROWAVE IMAGER DATA Wesley Berg, Matt Sapiano, Dave Randel, and Chris Kummerow, Colorado.
G.-H. Ryu1, B. J. Sohn2, M.-L. Ou1, H.-J. Song2,
GPM Microwave Radiometer Vicarious Cold Calibration
Current Status of GSMaP Project and New MWI Over-land Precipitation
Matt Lebsock Chris Kummerow Graeme Stephens Tristan L’Ecuyer
*CPC Morphing Technique
AVHRR operational cloud masks intercomparison
The Global Satellite Mapping of Precipitation (GSMaP) project: Integration of microwave and infrared radiometers for a global precipitation map Tomoo.
H. Michael Goodman Earth-Sun System Division NASA Headquarters
Satellite Foundational Course for JPSS (SatFC-J)
Ulrike Romatschke, Robert Houze, Socorro Medina
AMSR-E RFI Update - Towards RFI Adaptive Algorithms 1.0
Presentation transcript:

AMSR-E Ocean Rainfall Algorithm Status C. Kummerow Colorado State University AMSR-E Science Team Meeting Asheville, NC 27-28 June, 2011

GPROF_2004 GPROF_2008 GPROF_2010 Bayesian Inversion ~10 km TB observed TB model #3 TB model #2 TB model #1 Cloud Resolving Model Database TRMM PR/TMI & Model Database GPROF_2008 GPROF_2010

GPROF 2010 (Ocean) GPROF2010 continues to be a Bayesian algorithm consisting of: P(R|Tb) = P(Tb|R)•P(R)/P(Tb) No more rain screens. All pixels are compared to database. Bayes’ theorem determines rain or no rain. Consequence: almost all pixels have a very small probability of rain. No more convective/stratiform separation. Only necessary because CRM database was skewed to convective pixels. Entire code is now exceedingly simple. Pixels are classified only by background SST and TPW. Database entries within ±1K in SST and ±2 mm in TPW are searched for potential solutions. Error covariances are established from fit between observed and simulated Tb in the a-priori database.

Cloud profile database is partitioned into separate SST and TPW bins

GPROF 2010 Status • Databases created based upon PR/TMI. Change from GPROF 2008 to GPROF 2010 is TRMM V7 products. • Delivered TMI V7 to PPS in mid-June • In house version of AMSR-E code tested for 6 mo. Further testing expected in July 2011 • Ready to work with MSFC starting in August to get code into operations • Need team discussion on output parameters. Currently, pixel level output is only Lat/Lon/Sfc rain/Conv. Rain.

GPROF 2010 Processing Algorithm Pre-Processors Ancillary Info Sensor Data TMI_L1C TMI_1B11 AME_L1B AME_L2A SSMI_L1C SST directory spec Ancillary dir spec Sat, Sensor Info Channel Freqs, Errs Profile dbase names Spacecraft position Pixel Location Pixel Time, Tbs, EIA GPROF10 input file Ancillary Datasets Profile Databases Elevation Land masks Sea Surface Temp Clustered Profiles Land - All Coast – SSM/I Ocean - Each Sensor GPROF2010 Native Binary Output Temporary Files Programs Input Data Output Files HDF HDF-EOS NetCDF Format Converter*

GPROF 2010 Complete Parameter List Orbit Header Satellite Sensor Algorithm Version Pre Processor Version OceanDatabase Land Database Original file Structure Flag Start Date Creation Date Granule Hgt Layer Top(28) Missing Data N scans N Pixels N layers N species N clusters NHgt Indicies Scan Header ScanDate SpaceCraft Lat SpaceCraft Lon SpaceCraft Altitude Pixel Data Latitude, Longitude Pixel Status, Surface Type, Quality Flag Land Ambiguous Flag, Screen Flag Ocean ExtendedDbase, SearchRadius Freezing Height Index ChiSquared Probability Of Precip Sun Glint Angle Freezing Height Cluster Number(nspecies) Cluster Scale(nspecies) Surface Precipitation (Liquid+ Frozen) Convective Precipitation Surface Rain Cloud Water Path Rain Water Path Ice Water Path Sea Surface Temperature Total Precipitable Water Wind Speed Hydro-Meteor And LH Profiles Cloud Water Rain Water Cloud Ice Snow Water Graupel Latent Heating

Jan 2007 TMI AMSR-E

GPROF 2010 TMI/AMSR-E Coincident matchups Jan – Dec. 2007 accumulations

Jan 2007 TMI TMI AMSR-E

Jan 2007 AMSR-E SSMI F13

Jan 2007 For 2007: F13 F14 F15 AMSR-E Equatorial Crossing times 18:30 18:00 20:30 13:30

GPROF 2010 Surface Precipitation (Liquid+Frozen) Jan 2007 GPROF 2010 Surface Precipitation (Liquid+Frozen)

Jan 2007 GPROF 2010 Convective Rain

GPROF 2010 Probability of Precipitation Jan 2007 GPROF 2010 Probability of Precipitation

Jan 2007 GPROF 2010 Cloud Water Path

Jan 2007 GPROF 2010 Rain Water Path

Jan 2007 GPROF 2010 Ice Water Path

Jan 2007 GPROF 2010 Freezing Height

GPROF 2010 Sea Surface Temperature Jan 2007 GPROF 2010 Sea Surface Temperature

GPROF 2010 Total Precipitable Water Jan 2007 GPROF 2010 Total Precipitable Water

Jan 2007 GPROF 2010 Wind Speed

Jan 2007 GPROF 2010 Surface Type

Jan 1st, 2007 GPROF 2010 Quality Flag 0 = Best Quality 1 = Sun-glint, Bayesian Expansion, Coastal contamination, database expanding 2 = Ambiguous over Land

GPROF 2010 Complete Parameter List Orbit Header Satellite Sensor Algorithm Version Pre Processor Version OceanDatabase Land Database Original file Structure Flag Start Date Creation Date Granule Hgt Layer Top(28) Missing Data N scans N Pixels N layers N species N clusters NHgt Indicies Scan Header ScanDate SpaceCraft Lat SpaceCraft Lon SpaceCraft Altitude Pixel Data Latitude, Longitude Pixel Status, Surface Type, Quality Flag Land Ambiguous Flag, Screen Flag Ocean ExtendedDbase, SearchRadius Freezing Height Index ChiSquared Probability Of Precip Sun Glint Angle Freezing Height Cluster Number(nspecies) Cluster Scale(nspecies) Surface Precipitation (Liquid+ Frozen) Convective Precipitation Surface Rain Cloud Water Path Rain Water Path Ice Water Path Sea Surface Temperature Total Precipitable Water Wind Speed Hydro-Meteor And LH Profiles Cloud Water Rain Water Cloud Ice Snow Water Graupel Latent Heating

GPROF 2008 example Hurricane Floyd September 13, 1999 GPROF 2008 + TRMM radar Hurricane Floyd September 13, 1999

Hurricane Floyd Sep 3, 1999 TMI Algorithm Comparison 0. 25 x 0 Hurricane Floyd Sep 3, 1999 TMI Algorithm Comparison 0.25 x 0.25 gridded GPROF2008 1.28 mm/day RSS 0.96 mm/day GSmap 0.99 mm/day