Preparing for JPSS-1/ATMS Direct Readout Readiness Acknowledgments: This work was performed under contract NAS5-01089, sponsored by NASA Nikisa S. George.

Slides:



Advertisements
Similar presentations
Slide 1 The 4th THORPEX-Asia Science Workshop and 9th ARC Meeting FY-3 satellite data tuning and assimilation Qifeng Lu National Satellite Meteorological.
Advertisements

Numerical Weather Prediction Readiness for NPP And JPSS Data Assimilation Experiments for CrIS and ATMS Kevin Garrett 1, Sid Boukabara 2, James Jung 3,
NOAA Satellite and Information Service POES NOAA Satellite and Information Service POES OVERVIEW Cindy Hampton Office of Satellite and Product Operations.
© The Aerospace Corporation 2014 Observation Impact on WRF Model Forecast Accuracy over Southwest Asia Michael D. McAtee Environmental Satellite Systems.
Characterization of ATMS Bias Using GPSRO Observations Lin Lin 1,2, Fuzhong Weng 2 and Xiaolei Zou 3 1 Earth Resources Technology, Inc.
VIIRS LST Uncertainty Estimation And Quality Assessment of Suomi NPP VIIRS Land Surface Temperature Product 1 CICS, University of Maryland, College Park;
1 Analysis of Airborne Microwave Polarimetric Radiometer Measurements in the Presence of Dynamic Platform Attitude Errors Jean Yves Kabore Central Florida.
1 FWC IPWG MIT Lincoln Laboratory * This work was sponsored by the National Aeronautics and Space Administration under Contract NNG 04HZ53C,
Microwave Imagery and Tropical Cyclones Satellite remote sensing important resource for monitoring TCs, especially in data sparse regions Passive microwave.
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.
Data assimilation of polar orbiting satellites at ECMWF
Suomi NPP ATMS CalVal Overview Fuzhong Weng, ATMS SDR Team Lead Presented at Suomi NPP SDR Science and Product Review NOAA Center for Weather and Climate.
Centre de Météorologie Spatiale DP/CMS/R&D–GuyRochard28/11/2002 Direction de la Production Centre de Météorologie Spatiale Direction.
Joint Polar Satellite System Harry Cikanek Director, Joint Polar Satellite System March 18, Science Week.
EECS 823 MACHARIA.  Four-frequency, linearly-polarized, passive microwave radiometric system which measures atmospheric, ocean and terrain microwave.
NOAA Satellite Conference April 8-12, 2013 Mary Kicza Assistant Administrator for Satellite & Information Services.
A STUDY OF THE NOAA NEAR-NADIR MICROWAVE HUMIDITY SOUNDER BRIGHTNESS TEMPERATURES OVER ANTARCTICA Tsan Mo, Yong Han, and Fuzhong Weng NOAA/NESDIS Center.
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.
Slide 1 EUMETSAT Fellow Day, 9 March 2015 Observation Errors for AMSU-A and a first look at the FY-3C MWHS-2 instrument Heather Lawrence, second-year EUMETSAT.
AIRS (Atmospheric Infrared Sounder) Instrument Characteristics.
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.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 POES Microwave Products Presented.
Status of calibration and data evaluation of AMSR on board ADEOS-II Keiji Imaoka a, Yasuhiro Fujimoto a, Misako Kachi.
Diane E. Wickland NPP Program Scientist NPP Science: HQ Perspective on VIIRS May 18, 2011.
Slide 1 VAISALA Award Lecture Characterising the FY-3A Microwave Temperature Sounder Using the ECMWF Model Qifeng Lu, William Bell, Peter Bauer, Niels.
NPOESS Conical Scanning Microwave Imager/ Sounder (CMIS) Overview
Design Features of a Boresighted GPM Core Radiometer Christopher S. Ruf Dept. of Atmospheric, Oceanic & Space Sciences University of Michigan, Ann Arbor,
Studies of Advanced Baseline Sounder (ABS) for Future GOES Jun Li + Timothy J. Allen Huang+ W. +CIMSS, UW-Madison.
Suomi NPP ATMS SDR Provisional Product Highlights Fuzhong Weng, ATMS SDR Team Managerial Lead (Acting) Suomi NPP SDR Product Review NOAA Center for Weather.
Mission Operations Review February 8-10, 2010 Cordoba, ARGENTINA SECTION 16.x Aquarius Science Commissioning and Acceptance Draft 2 Prepared by: Gary Lagerloef,
NPP ATMS Instrument Performance SDR Product Review, 23 Oct Kent Anderson Chief Engineer, Civil Space Programs NG Electronic Systems Azusa, CA.
Early Results from AIRS and Risk Reduction Benefits for other Advanced Infrared Sounders Mitchell D. Goldberg NOAA/NESDIS Center for Satellite Applications.
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.
Suomi National Polar-orbiting Partnership (NPP) Martha Maiden Suomi NPP Workshop Sponsored by NASA Applied Sciences Program June 21, 2012.
Joint Polar Satellite System (JPSS) John Furgerson, NOAA User Liaison Joint Polar Satellite System.
NGAS ATMS Cal/Val Activities and Findings Degui Gu, Alex Foo and Chunming Wang Jan 13, 2012.
Obs-sim[ECMWF] obs-sim[AIRS] Dashed curve = ECMWF curve shifted to AIRS curve at nadir This is our best estimate of scan bias Motivation: AIRS-retrieval.
Slide 1 Initial results from the assessment of ATMS data at ECMWF Niels Bormann, Bill Bell, Anne Fouilloux, Ioannis Mallas, Nigel Atkinson, Stephen English.
N A T I O N A L O C E A N I C A N D A T M O S P H E R I C A D M I N I S T R A T I O N NPP DATA ACCESS Mitch Goldberg JPSS Program Scientist June 21, 2012.
GCOM-W1 Status Keizo Nakagawa 1, Norimasa Ito 1, Marehito Kasahara 1, and Keiji Imaoka 2 1 GCOM Project Team 2 Earth Observation Research Center (EORC)
Ocean Color Research Team Meeting May 1, 2008 NPOESS Preparatory Project (NPP) Status Jim Gleason NPP Project Scientist.
NCEP Assessment of ATMS Radiances Andrew Collard 1, John Derber 2 and Russ Treadon 2 1 IMSG at NOAA/NCEP/EMC 2 NOAA/NCEP/EMC 1NPP ATMS SDR Product Review13th.
Suomi NPP Sounding EDR Validation and Evaluation Zhenglong Li #, Jun Li #, Yue Li #, Timothy J. and Christopher D. # Cooperative Institute.
Radiance Simulation System for OSSE  Objectives  To evaluate the impact of observing system data under the context of numerical weather analysis and.
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.
Evaluation and Improvement of the NPP CrIMSS Rain Flag Wenze Yang 1, Ralph Ferraro 2, Chris Barnet 2, and Murty Divakarla 2 1. UMD/ESSIC/CICS, College.
ECMWF/EUMETSAT NWP-SAF Satellite data assimilation Training Course
Current Status and Lessons from TRMM/GPM XCAL Calibration Activities
Pre-launch Characteristics and Calibration
NOAA VIIRS Team GIRO Implementation Updates
In-orbit Microwave Reference Records
NOAA Report on Satellite Data Calibration and Validation – Satellite Anomalies Presented to CGMS-43 Working Group 2 session, agenda item 3 Author: Weng.
Calibration Activities of GCOM-W/AMSR2
AIRS (Atmospheric Infrared Sounder) Instrument Characteristics
C.-H. Lyu (NASA GSFC), T. Mo (NOAA STAR), and I. Osaretin
M. Goldberg NOAA/NESDIS Z. Cheng (QSS)
NOAA-20 and Suomi NPP ATMS On-orbit Performance
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,
Coexistence Issues for Passive Earth Sensing from GHz: Update
Status of MODIS and VIIRS Reflective Solar Calibration
GSICS MW products and a path forward.?
Calibration and Validation of Microwave Humidity Sounder onboard FY-3D Satellite Yang Guo, Songyan Gu NSMC/CMA Mar
Satellite Foundational Course for JPSS (SatFC-J)
NOAA/NESDIS/Center for Satellite Applications and Research
MAMBO PRE-LAUNCH CALIBRATION CONSIDERATIONS
FY-3 Microwave Sensor Status and Calibration
Intercalibration of SAPHIR and ATMS
NOAA-20 ATMS STATUS ATMS SDR Team
Session 1 – summary (1) Several new satellite data types have started to be assimilated in the last 4 years, all with positive impacts, including Metop-B.
Presentation transcript:

Preparing for JPSS-1/ATMS Direct Readout Readiness Acknowledgments: This work was performed under contract NAS , sponsored by NASA Nikisa S. George & Kent Anderson Northrop Grumman Electronic Systems, Azusa CA, 91702, U.S.A. Overview The Advanced Technology Microwave Sounder (ATMS), manufactured by Northrop Grumman Electronic Systems (NGES) in Azusa CA, was launched on October 28, 2011 aboard the Suomi National Polar-orbiting Partnership (NPP) spacecraft ATMS works in conjunction with the Cross-track Infrared Sounder (CrIS) to measure atmospheric temperature and humidity profiles and is the follow-on to the Advanced Microwave Sounding Units -A and -B The next ATMS, currently in system-level testing, will be on the Joint Polar Satellite System-1 (JPSS-1), planned for launch in 2017 This study reviews: Our performance assessments from Cal-Val activities Scan-dependent radiometric biases and “striping” Preliminary algorithm options that may be useful for direct readout users Summary of NPP On-orbit Assessments Radiometric Sensitivity: Channels 1-16 reduced by 1/3, for direct comparison to AMSU-A (Figure 2a) Radiometric Accuracy: Analytic model, with parameter updates based on On-orbit Data (Figure 2b) Figure 1. a) ATMS Channelization Compared to AMSU, b) ATMS Proto-flight Model, and c)Ch 18 T B of Hurricane Isaac Figure 3. Channel 1 and channel 17 scan-dependent radiometric biases, observed during pitch-maneuver Figure 4. ATMS Striping example Conclusions Stability of critical temperature-dependent parameters is significantly better than predicted Sensitivity (NEDT) is consistent with ground tests, and is an improvement over AMSU when averaged for equivalent footprint sizes Other phenomena, such as scan-dependent biases and striping, are being characterized and modeled  Basis for deriving related requirements for future units  Algorithm enhancements are under development to mitigate their effects ATMS Description Total-power radiometer, two-point external calibration Continuous cross-track scanning Functional-equivalent follow-on to AMSU-A and MHS, with improved sampling and coverage Figure 2. a) NEDT compared to requirements and AMSU- A / MHS and b) Radiometric Accuracy, with & without quadratic corrections “Striping” Noise “Striping” is due to scan-to-scan (down-track) variations that are greater than sample-to-sample variations within a scan (cross-track) (see Figure 4)  No requirement has yet been established, but it is now recognized that such a requirement needs to be developed  Phenomenon is due to low-frequency gain fluctuations, predominantly in front-end LNAs Associated issue of multi-channel correlation of gain fluctuations is also under investigation ATMS Chan AMSU-A,B Chan Center Freq (GHz) Pre-Detection Bandwidth (MHz) Pol QV QV QH QH QH ± QH QH QH QH QH ± QH ±0.3222± QH ±0.3222± QH ±0.3222±0.0108QH ±0.3222± QH QV QH ± QH ± QH ± QH ± QH ±1.0500QH b) c) a) b) Scan-dependent Radiometric Bias  Primarily due to scanning reflector polarized emissivity  Minor secondary effect, may be due to reflector spillover (TBD)  Causes both a systematic angle-dependent error and an overall bias (due to radiometric offset of cold-calibration measurement) Potential Algorithm Options for JPSS Corrections for the scan-dependent bias, based on modeled effect of reflector emissivity Multi-channel processing to reduce correlated errors Corrections for polarization angle errors and cross-pol contamination More sophisticated techniques (TBD) to reduce striping Feb 20, ATMS Pitch Maneuver; Ch 3 in Kelvin Cross Track Beam Position Down Track Scan  : Emissivity = 0.37% T ref : Reflector Temperature = 0.0° C  : Scan Angle