In-orbit Microwave Reference Records

Slides:



Advertisements
Similar presentations
Characterization of ATMS Bias Using GPSRO Observations Lin Lin 1,2, Fuzhong Weng 2 and Xiaolei Zou 3 1 Earth Resources Technology, Inc.
Advertisements

A Fundamental Climate Data Record for the AVHRR Jonathan Mittaz Manik Bali & Andrew Harris CICS/ESSIC University of Maryland.
Passive Microwave Rain Rate Remote Sensing Christopher D. Elvidge, Ph.D. NOAA-NESDIS National Geophysical Data Center E/GC2 325 Broadway, Boulder, Colorado.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Long-Term Upper Air Temperature.
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,
Development of AMSU-A Fundamental CDR’s Huan Meng 1, Wenze Yang 2, Ralph Ferraro 1 1 NOAA/NESDIS/STAR/CoRP/Satellite Climate Studies Branch 2 NOAA Corporate.
AVHRR GAC/LAC Calibration Challenges for SST Jonathan Mittaz University of Reading National Physical Laboratory.
Slide 1 VAISALA Award Lecture Characterising the FY-3A Microwave Temperature Sounder Using the ECMWF Model Qifeng Lu, William Bell, Peter Bauer, Niels.
An Improved Microwave Satellite Data Set for Hydrological and Meteorological Applications Wenze Yang 1, Huan Meng 2, and Ralph Ferraro 2 1. UMD/ESSIC/CICS,
1EUM/RSP/VWG/16/ Tim Hewison Tom Stone Manik Bali Selecting and Migrating GSICS Inter-Calibration Reference Instruments.
1EUM/RSP/VWG/16/ Tim Hewison Tom Stone Manik Bali Selecting and Migrating GSICS Inter-Calibration Reference Instruments.
Bias analysis and correction for MetOp/AVHRR IR channel using AVHRR-IASI inter-comparison Tiejun Chang and Xiangqian Wu GSICS Joint Research and data Working.
June, GSICS USER GUIDE Using GSICS Products and Services Manik Bali, Tim Hewison, Larry Flynn and Jerome Lafeuille 2016 GSICS Executive Panel Meeting.
Review of Methodology in Algorithm Theoretical Basis Document: MSU/AMSU Radiance FCDR Derived From Integrated Microwave Inter- Calibration Approach Chabitha.
GSICS MW products and a path forward.?
GSICS Microwave Sub Group Meeting
NOAA/NESDIS/Center for Satellite Applications and Research
Paper under review for JGR-Atmospheres …
Questions to Address (part 2)
PATMOS-x Reflectance Calibration and Reflectance Time-Series
Manik Bali Ralph Ferraro , Cheng-Zhi Zou and Lawrence E. Flynn
Planned Activities of GSICS Microwave sub-group
VIS/NIR reference instrument requirements
Report to 8th GSICS Exec Panel
NOAA Inter-Calibrated MSU/AMSU Radiance FCDR Cheng-Zhi Zou
GSICS Microwave Sub-Group Summary Tim Hewison and Cheng-Zhi Zou
Update from the GRWG/Microwave Subgroup
NOAA Report on Satellite Data Calibration and Validation – Satellite Anomalies Presented to CGMS-43 Working Group 2 session, agenda item 3 Author: Weng.
GSICS Data Management and Availability to Users
Requirements for microwave inter-calibration
Larry Flynn and Manik Bali
M. Goldberg NOAA/NESDIS Z. Cheng (QSS)
Jo Schmetz1 on behalf of Tim Hewison1 EUMETSAT
NOAA-20 and Suomi NPP ATMS On-orbit Performance
Manik Bali1 Cheng-Zhi Zou2 and Ralph Ferraro2 1ESSIC/CICS, 2NOAA
Manik Bali Jonathan Mittaz
Inter-Sensor Comparison for Soumi NPP CrIS
NOAA GSICS Processing and Research Center
Ninghai Sun1, Lihang Zhou2, Mitch Goldberg3
Masaya Takahashi (JMA), Dohyeong Kim (KMA),
Use of NWP+RTM as inter-calibration tool
GSICS MW products and a path forward.?
NOAA/NESDIS/Center for Satellite Applications and Research
Update on GSICS Product Development
GRWG MW-SubGroup Candidate GSICS products – Window Channels
Inter-calibration of the SEVIRI solar bands against MODIS Aqua, using Deep Convective Clouds as transfer targets Sébastien Wagner, Tim Hewison In collaboration.
Comparability and Reproducibility of RO Data
MW Products and Deliverables
Calibration and Validation of Microwave Humidity Sounder onboard FY-3D Satellite Yang Guo, Songyan Gu NSMC/CMA Mar
Current Status of ROLO and Future Development
Early calibration results of FY-4A/GIIRS during in-orbit testing
NOAA/NESDIS/Center for Satellite Applications and Research
NOAA/NESDIS/Center for Satellite Applications and Research
Where do we stand on GSICS MW products?
NOAA/NESDIS/Center for Satellite Applications and Research
GSICS Products’ Improvements and Developments
GRUAN / GSICS Cheng-Zhi Zou and Tony Reale NOAA/STAR
Proposed best practices for Simultaneous Nadir Overpass (A Discussion)
GSICS Product Development Plan for Microwave Instruments
Presentation of GSICS Inter-Calibration Results - Web Displays
Andrew Heidinger JPSS Cloud Team Lead
Proposed best practices for Simultaneous Nadir Overpass (A Discussion)
Defining the Products: ‘GSICS Correction’
Sno Unit testing tool MaNIK BALI NOAA/NESDIS/STAR.
Thanks Bruce for the introduction
Sno Prediction and Unit testing
Selecting a GSICS reference instrument IR , VIS and Microwave
How good is IASI-A as an in-orbit reference in GSICS in LWIR and IR
GSICS Newsletter Microwave mini issue
Presentation transcript:

In-orbit Microwave Reference Records 11 June 2018 In-orbit Microwave Reference Records Manik Bali, Cheng-Zhi Zou, Lawrence E Flnn and Ralph Ferraro MW Subgroup Meeting January 11, 2016

Outline Outline Introduction Selection matrix of In-orbit reference for MW Proposed in orbit reference for MW . Temperature and Scan Angle dependence of SATMS – FCDR bias Summary 04/08//2013

Introduction Introduction Need an in-orbit reference for MW In orbit Microwave instruments are often compared to in-situ targets and GPS-RO measurements. These comparisons get influenced by local weather conditions and usually require a forward model to compute the TOA (Top of Atmosphere) MW reference radiances from the in-situ and GPS-RO measurements. Inter-comparisons do not reveal the full scale of instrument biases such as scan angle dependence of measurements, temporal trends and temperature dependence of bias Need an in-orbit reference for MW How do we select one

Proposed- Process to identify GSICS reference Instrument The instrument and Channels agency wishes to monitor. The method/s they would employ to monitor( eg. single or blended references, use transfer target , stability criterion). May consider scoring proposed by Hewison and Reference Expectations gathered by GSICS Survey ( stated next slidse) Demonstrated use of the instrument by member agencies and users for instrument monitoring. Comparison of Instrument design specification ( Pre-launch testing) with In-orbit behavior. May consider if in-orbit status of key parameters of Candidate Ref instrument are monitored and available to users ( such as . ICVS). 7. Take Info ( global coverage, eq. cross time etc) related to instrument available ( eg OSCAR) Phone: +1 301-683-3550 Reference Selection Matrix 1. Sensor Record performance stability 2. Field of view (FOV) consistency (ATMS has oversampling FOV and can be B-G to AMSU-A and MSU) 3. Error budgets (prelaunch characterization and postlaunch verification) 4. Geolocation accuracy 5. Data availability

In-orbit references The AMSU/MSU L1B FCDR for O2 bands resembles a typical in-orbit reference that is stable and accurate. Has scan angle corrected radiances De-trended time series. Undergoes stringent quality assurance test Real time quality flags for each pixel provided with the product

MW References AMSU-A FCDR as a Reference for Cross-Calibration AMSU-A onboard six POES satellites were inter-calibrated using Integrated Microwave Inter-Calibration Approach (IMICA) 5 calibration errors were removed/minimized: nonlinearity, bias drift, frequency shift, sun-heating induced temperature variability in radiances; Inter-satellite Biases were reduced to 0.1-0.2K 19 years of swath data Dataset available from NCEI CDR website AMSU-A brightness temperature s for overlapping NOAA-15 and NOAA-18. Their differences for randomly selected region (e.g., within the dashed square ) are within 0.1-0.2K. FCDR provides ability to inter-compare at various times of the day

AMSU/MSU FCDR as a reference: Current progress Coded and Setup an AMSU – ATMS inter-comparison SNO algorithm NOAA-GDWG has helped AMSU FCDR resemble a typical MW orbit file – scan time stamps that can be used to generate SNO’s, uniformity of file format (NetCDF4) across time spans has been achieved. Computed AMSU footprint size Created a three month database of AMSU-FCDR – ATMS collocations. Scan angle corrected BT included that resemble RVS corrected IASI/VIIRS radiances and are used as reference. Next steps- analyze the collocations data set Once we have an in-orbit reference we can generate in-orbit cross calibration products

Overlap with Monitored instruments AMSU/MSU FCDR AMSR (2/E) JAXA MWTS-2 China SSMI DOD MTVZA ROSCOSMOS/Ukraine GMI NASA ATMS MSU/AMSU-A FCDR channels overlap with majority of MW instruments Source: https://www.wmo-sat.info/oscar/instruments

Monitoring ATMS-SDR by SNO inter- comparison with N18 Inter- comparison of ATMS-SDR with FCDR show Low scan angle dependence of ATMS-SDR Post launch ATMS-SDR maintains nearly pre-launch level of accuracy.

Monitoring ATMS-SDR by SNO inter- comparison with FCDR Aqua FCDR extremely consistent as a reference  Compared to N18, Inter- comparison with AQUA-AMSU FCDR gives similar results

Summary Rules of identifying in-orbit reference being formulated We made progress with evaluating the AMSU/MSU FCDR as a in-orbit reference. AMSU/MSU – SATMS Collocation data( N18 and Aqua) set extended to Dec 2016. AMSU/MSU – SATMS shows pre-launch level of temperature dependence and low scan angle dependence. FCDR measures the temperature dependence and scan angle dependence of bias realestically Further work underway to produce long time series of collocations.

THANK YOU

SATMS –AMSU-A 55.5 GhZ bias [NOAA-18] Collocations extended to Oct 2016 Stable temperature dependent bias Zenith angle dependence similar to model calculations Offset = -0.29 K Figure above shows pre-launch level of bias of SATMS Figure right Shows the scan angle dependence of ATMS-SDR is within 1% of the Nadir view when compared with the limb corrected AMSU-MSU FCDR.