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

Slides:



Advertisements
Similar presentations
1EGU 2014-Vienna Austria, April 30, 2014 Erich Franz Stocker PPS Project Manager/Software Architect GPM Deputy Project Scientist.
Advertisements

Lightning Imager and its Level 2 products Jochen Grandell Remote Sensing and Products Division.
A Microwave Retrieval Algorithm of Above-Cloud Electric Fields Michael J. Peterson The University of Utah Chuntao Liu Texas A & M University – Corpus Christi.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Combined Active & Passive Rain Retrieval for QuikSCAT Satellite Khalil A. Ahmad Central Florida Remote Sensing Laboratory University of Central Florida.
TRMM/TMI Michael Blecha EECS 823.  TMI : TRMM Microwave Imager  PR: Precipitation Radar  VIRS: Visible and Infrared Sensor  CERES: Cloud and Earth.
Green Vegetation Fraction (GVF) derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the SNPP satellite Zhangyan Jiang 1,2,
Passive Microwave Rain Rate Remote Sensing Christopher D. Elvidge, Ph.D. NOAA-NESDIS National Geophysical Data Center E/GC2 325 Broadway, Boulder, Colorado.
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.
GPM, a partnership between NASA and JAXA, will set a new standard for precipitation measurements from space, providing the next-generation observations.
Recent activities on utilization of microwave imager data in the JMA NWP system - Preparation for AMSR2 data assimilation - Masahiro Kazumori Japan Meteorological.
(US) GPM Ground Validation: Strategy and Efforts Christian Kummerow Colorado State University Walter Petersen University of Alabama, Huntsville A summary.
ATMS 373C.C. Hennon, UNC Asheville Observing the Tropics.
The Evaluation of a Passive Microwave-Based Satellite Rainfall Estimation Algorithm with an IR-Based Algorithm at Short time Scales Robert Joyce RS Information.
G O D D A R D S P A C E F L I G H T C E N T E R 1 GPM Constellation Reconfiguration and Mission Status Arthur Y. Hou NASA Goddard Space Flight Center
Erich Franz Stocker - Page 1EGU-2015 General Assembly April 14, 2015 Global Precipitation Measurement (GPM) mission Precipitation Processing System (PPS)
Yimin Ji - Page 1 October 5, 2010 Global Precipitation Measurement (GPM) mission Precipitation Processing System (PPS) Yimin Ji NASA/GSFC,
1 Detection and Determination of Channel Frequency Shift in AMSU-A Observations Cheng-Zhi Zou and Wenhui Wang IGARSS 2011, Vancouver, Canada, July 24-28,
SMOS+ STORM Evolution Kick-off Meeting, 2 April 2014 SOLab work description Zabolotskikh E., Kudryavtsev V.
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.
A NON-RAINING 1DVAR RETRIEVAL FOR GMI DAVID DUNCAN JCSDA COLLOQUIUM 7/30/15.
Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) Kuolin Hsu, Yang Hong, Dan Braithwaite, Xiaogang.
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.
Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information.
VALIDATION AND IMPROVEMENT OF THE GOES-R RAINFALL RATE ALGORITHM Background Robert J. Kuligowski, Center for Satellite Applications and Research, NOAA/NESDIS,
TRMM and GPM Data Products G.J. Huffman NASA/Goddard Space Flight Center 1.Introduction 2.TMPA 3.IMERG 4.Transitioning from TRMM to GPM 5.Final Comments.
Evaluation of Passive Microwave Rainfall Estimates Using TRMM PR and Ground Measurements as References Xin Lin and Arthur Y. Hou NASA Goddard Space Flight.
Passive Microwave and Upcoming GPM Activities Science Advisory Committee Meeting 26 – 28 August, 2014 National Space Science and Technology Center, Huntsville,
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.
AMSR-E Ocean Rainfall Algorithm Status AMSR-E Science Team Meeting Asheville, NC June, 2011 C. Kummerow Colorado State University.
CRL’s Planned Contribution to GPM Harunobu Masuko and Toshio Iguchi Applied Research and Standards Division Communications Research Laboratory 4-2-1, Nukkui-kita-machi,
Challenges and Strategies for Combined Active/Passive Precipitation Retrievals S. Joseph Munchak 1, W. S. Olson 1,2, M. Grecu 1,3 1: NASA Goddard Space.
MIIDAPS Application to GSI for QC and Dynamic Emissivity in Passive Microwave Data Assimilation.
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.
COMPARING HRPP PRODUCTS OVER LARGE SPACE AND TIME SCALES Wesley Berg Department of Atmospheric Science Colorado State University.
1 LANCE-AIRS LANCE-MLS Status Bruce Vollmer Mike Theobald LANCE User Working Group Meeting November.
A New Ocean Suite Algorithm for AMSR2 David I. Duncan September 16 th, 2015 AMSR Science Team Meeting Huntsville, AL.
AMSR-E and WindSAT Version 7 Microwave SSTs C. Gentemann, F. Wentz, T. Meissner, & L.Riccardulli Remote Sensing Systems NASA SST ST October.
PoDAG XXV, 26 Oct SSM/I Update (with some AMSR-E) Walt Meier.
NOAA Near Real-Time AIRS Processing and Distribution System Walter Wolf Mitch Goldberg Lihang Zhou NESDIS/ORA/CRAD.
NASA, CGMS-43, May 2015 Coordination Group for Meteorological Satellites - CGMS Update of the NASA GPM and Precipitation Products and their Availability.
Assimilation of GPM satellite radiance in improving hurricane forecasting Zhaoxia Pu and ChauLam (Chris) Yu Department of Atmospheric Sciences University.
“CMORPH” is a method that creates spatially & temporally complete information using existing precipitation products that are derived from passive microwave.
JAXA Agency Report Misako Kachi
Heading Toward Launch with the
GPM Mission Overview and Status
*CPC Morphing Technique
NSIDC’s Passive Microwave Sensor Transition for Polar Data
Current Status and Lessons from TRMM/GPM XCAL Calibration Activities
SOLab work description
Space-Based Precipitation Measurements
RENISH THOMAS (GPM) Global-Precipitation- Mapper
Synthetic Data and Data Formats for the GPM GMI Radiometer
In-orbit Microwave Reference Records
GPM Microwave Radiometer Vicarious Cold Calibration
Highlights of the Version 7 TRMM Multi-satellite
# A51I-3155 Sensitivity of Forward Radiative Transfer Model on Spectroscopic Assumptions and Input Geophysical Parameters at 23.8 GHz and 183 GHz Channels.
MODIS SST Processing and Support for GHRSST at OBPG
AIRS (Atmospheric Infrared Sounder) Instrument Characteristics
An Update on the Activities of the Precipitation Measurement Missions (i.e. TRMM/GPM) XCAL Team PMM XCAL Team Wesley Berg, Rachael Kroodsma, Faisal Alquaeid,
*CPC Morphing Technique
The Global Satellite Mapping of Precipitation (GSMaP) project: Integration of microwave and infrared radiometers for a global precipitation map Tomoo.
Global Satellites Mapping of Precipitation Project in Japan (GSMaP) - Microwave and Infrared combined algorithm - K. Okamoto, T. Ushio, T. Iguchi, N. Takahashi…...../
AMSR-E Ocean Rainfall Algorithm Status
Presentation transcript:

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

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker Categories of planned GPM Near-Realtime (NRT) products GMI Swath NRT products GMI Synthetic data approach Combined NRT swath products GPM partner radiometer swath products GPM merged radiometer (with IR) products Access to GPM NRT products Synthetic data status Summary Topics To Present

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker GPM NRT GMI Swath Products Level 1 – Instantaneous field of View (Brightness Temperatures) –Level 1B (full product with diagnostic fields) –Level 1C (standard intercalibrated product) user fields –Level1 NRT products are 5 minutes with 100 scans overlap (need previous 5 minute file and next 5 minute file) –Available within 20 minutes of data collection Level 2 – Instantaneous field of View (Geophysical parameters) –GPM version of GPROF algorithm (radar enhanced) –Primary parameter: precipitation –Level 2 NRT products are 5 minutes with no overlap –Contain no vertical information –Available within 25 minutes of data collection Format for all GPM NRT products –HDF 5 v1.8 with internal compression turned on –Produced in such a way that the HDF files can be read with netCDF v4 Orbits in GPM will be normalized as a full orbit running southernmost to southernmost – no split at the equator (just like TRMM)

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker GMI Radiometer Synthetic Data Approach The synthetic GMI brightness temperature (Tb) database is developed based on existing radiometers and radiative transfer modeling. The first step is to establish a global T b database with coincidental Tb for 13 GMI-like (similar center frequencies and band widths) channels. At lower latitude, coincidental TMI low frequency (10 – 85 GHz) and AMSUB/SSMIS high frequency (150 GHz V/H, 183  3, 183  7 GHz) measurements were matched up with a time window of 10 minutes and spatial resolution of 0.1 degree. At higher latitude, coincidental AMSRE lower frequency (10 – 89 GHz) and AMSUB/SSMIS high frequency (150 GHz V/H, 183  3, 183  7 GHz) measurements were matched up with a time window of 60 minutes and spatial resolution of 0.1 degree. The time period of using existing observation for establishing each global database is two months.

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker GMI Synthetic Data Approach (2) The second step is to adjust the GMI-like T b to Synthetic GMI (exact center frequencies and band widths for 13 GMI channels) T b using radiative transfer modeling. The NOAA CRTM was configured to simulate all existing sensors used in this study as well as the GMI. The CRTM simulations were used to establish a look-up table that can be used to compute T b offsets of GMI channels against GMI-like channels for various bins and atmospheric conditions. The GMI-like T b database were converted to synthetic GMI T b database using the look-up tables derived from the CRTM. NRT like synthetic data in HDF5 format will be made available to any user that wants it –Useful for testing reading software for format issues –Can be used for checking error limits, etc.

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker GMI Synthetic 5 min product 37GHz – No Overlap

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker GMI Synthetic Data 183 GHz 5 min product – No overlap

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker GMI Synthetic 37GHz with overlap

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker GMI Synthetic Data 183GHz – with overlap

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker GPM NRT Combined GMI/DPR product In TRMM no near realtime combined TMI/PR product is produced In GPM a Level 2 combined GMI/DPR instantaneous field of view product will be produced in NRT –The combined algorithm utilizes microwave radiance data to constrain radar-derived precipitation solutions, such that the final solutions are simultaneously consistent with coincident microwave radiances, radar reflectivities/surface backscatter, and a priori information from weather prediction center analyses. –Granule will be roughly an orbit (actual size dependent on TDRSS contact and network throughput) –Initially will be produced at the DPR Ku swath width ~250Km –If a good interpolation approach can be verified, the plan is to extend the information into the wider GMI swath ~900Km –Provides important vertical structure information. GPM NRT combined products will be available within 120 minutes of data collection 90% of the time. Simulated data products will be available but not until late 2012

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker GPM Partner Radiometer NRT products Level 1 products –Granule size will be dependent upon data provider capabilities but currently looks as if most will be “orbital” –L1B T b (and in some cases perhaps T a ) data will be provided by partners using their calibrations and their orbitizing approach –L1B products will not be modified by PPS, nor will partner 1B data be available to users from PPS (without permission of the provider) Level 1C intercalibrated T c products –Common logical format for all products –Current plans call for re-orbitization to the GPM orbit approach but this may be data- type dependent in NRT –Will provide constellation consistent intercalibrated T c based on the GPM cross- calibration adjustments based on GPM core satellite instrument measurements. –Available within 5 minutes of receiving L1B data from partners Level 2 GPROF precipitation retrievals –Granule size same as the L1C products –Available within 5 mins of completing the L1C products

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker Global Merged Radiometer (IR) products A gridded level 3 merged (IMERG) radiometer products –Integrates current TRMM TMPA algorithm with Kalman filtering CMORPH and PERSIANN CSS (Cloud Classification System ) –neural net –As much microwave radiometer data augmented with IR Current Plans –Global Lat-Long ~.08 x.08 grid –Half-hourly time period –Perhaps will produce polar areas in polar projection as separate product (if interested in this being done mail: –HDF5 v1.8 with internal compression (written to be readable using netCDF v4) NRT Latency –Each half-hour product will be produced at least twice –Early run very near to data collection so low latency but perhaps more IR data because some radiometer data not received –Late run with longer latency (to be established) that will be more complete for radiometer data but longer from the time of data collection.

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker Access to GPM NRT data All GPM NRT data is free of charge and free of restrictions other than acknowledging NASA as the provider Access will be available either through: (to be determined) –Anonymous ftp site –User name/password sftp User information is desired – for notifying of realtime system status and issues –If passworded then used to notify users of changes NRT data is kept for 3 days and then eliminated from retrieval directory Storage structure will be optimized for automated script retrievals

EGU General Assembly, AS1.3, 4-8 April Erich Franz Stocker Summary GPM will offer GMI near-realtime L1 and L2 swath products within 20 minutes of data collection. GPM will make NRT GMI synthetic data available to users in the format that will be used at launch GPM will produce combined GMI/DPR L2 swath products with vertical structure information within 120 minutes of data collection GPM will produce L1c inter-calibration brightness temperature swath products and L2 GPROF based precipitation retrieval products within 10 minutes of having received the L1B from the data provider GPM will provide global NRT ~.08 x ~.08 gridded, half-hourly products 1 st run will have low latency but higher use of IR data 2 nd run will be more complete with radiometer data but longer latency GPM NRT is free and open Questions about NRT can be directed to: or