1 GOES-14 Imager and Sounder a preliminary look Timothy J. Schmit NOAA/NESDIS/Satellite Applications and Research Advanced Satellite Products Branch (ASPB)

Slides:



Advertisements
Similar presentations
1 GOES-14 Imager and Sounder a preliminary look Timothy J. Schmit NOAA/NESDIS/Satellite Applications and Research Advanced Satellite Products Branch (ASPB)
Advertisements

Overview of GOES and MTSAT Platforms: Fire Monitoring Characteristics
Evaluating Calibration of MODIS Thermal Emissive Bands Using Infrared Atmospheric Sounding Interferometer Measurements Yonghong Li a, Aisheng Wu a, Xiaoxiong.
The Utility of GOES-R and LEO Soundings for Hurricane Data Assimilation and Forecasting Jun Timothy J. Schmit #, Hui Liu &, Jinlong and Jing.
GOES Cloud Products and Cloud Studies Height Techniques Introduction GOES Sounder Currently there are three techniques being used to generate cloud top.
Review of Remote Sensing Fundaments IV Infrared at High Spectral Resolution – Basic Principal & Limitations Allen Huang Cooperative Institute for Meteorological.
GOES-14 Imager RevE SRFs Cooperative Institute for Meteorological Satellite Studies (CIMSS) University of Wisconsin 18 Dec 2009.
Preliminary Noise Estimates for Infrared Data from the GOES-13 Imager Don Hillger NOAA/NESDIS/StAR/RAMMB Tim.
Bureau of Meteorology GOES-9 AMVs Generation and Assimilation Bureau of Meteorology GOES-9 AMVs Generation and Assimilation.
1 Weekly Report on GOES-14 PLT Science Test NOAA / NESDIS / STAR X. Wu, G. Rancic, F. Yu December 18, 2009.
GOES-14 Imager and Sounder
GOES-13 First Sounder Infrared radiances Data from SSEC Data Center T. Schmit ASPB.
GOES-N Science Test Timothy J. Schmit NOAA/NESDIS/STAR Advanced Satellite Products Branch (ASPB) and many others UW-Madison May 2005.
GOES-13 First Infrared radiances Data from SSEC Data Center T. Schmit ASPB.
GOES-13 First Visible radiances Data from SSEC Data Center T. Schmit ASPB.
1 Tropical cyclone (TC) trajectory and storm precipitation forecast improvement using SFOV AIRS soundings Jun Tim Schmit &, Hui Liu #, Jinlong Li.
Data Changes from GOES- 12/NOP Imagers Timothy J. Schmit NOAA/NESDIS/STAR (formerly ORA) SaTellite Applications and Research (STAR) Advanced Satellite.
GOES-R ABI PROXY DATA SET GENERATION AT CIMSS Mathew M. Gunshor, Justin Sieglaff, Erik Olson, Thomas Greenwald, Jason Otkin, and Allen Huang Cooperative.
1 XGOHI (eXtended GOes High Inclination operations) Timothy J. Schmit NOAA/NESDIS/Satellite Applications and Research Advanced Satellite Products Branch.
New Products from combined MODIS/AIRS Jun Li, Chian-Yi Liu, Allen Huang, Xuebao Wu, and Liam Gumley Cooperative Institute for Meteorological Satellite.
Thanks also to… Tom Wrublewski, NOAA Liaison Office Steve Kirkner, GOES Program Office Scott Bachmeier, CIMSS Ed Miller, NOAA Liaison Office Eric Chipman,
PLANS FOR THE GOES-R SERIES AND COMPARING THE ADVANCED BASELINE IMAGER (ABI) TO METEOSAT-8 UW-Madison James J Gurka, Gerald J Dittberner NOAA/NESDIS/OSD.
On the Use of Geostationary Satellites for Remote Sensing in the High Latitudes Yinghui Liu 1, Jeffrey R. Key 2, Xuanji Wang 1, Tim Schmit 2, and Jun Li.
60 West – A Wisconsin Perspective Timothy J. Schmit Gary S. Wade NOAA/NESDIS/STAR Advanced Satellite Products Branch (ASPB) Madison, WI GOES-10:
Improvements of the Geostationary Operational Environmental Satellites (GOES)-R series for Climate Applications GOES-R data and products will support applications.
The GOES-10 Overview UW-Madison Tim Schmit and Gary Wade Research Satellite Meteorologist NOAA/NESDIS/ORA(STAR) Advanced Satellite Products Branch (ASPB)
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 The GOES-14 Science Test Timothy Schmit (GOVERNMENT PRINCIPAL INVESTIGATOR)
Jinlong Li 1, Jun Li 1, Timothy J. Schmit 2, Fang Wang 1, James J. Gurka 3, and W. Paul Menzel 2 1 Cooperative Institute for Meteorological Satellite Studies.
High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),
Studies of Advanced Baseline Sounder (ABS) for Future GOES Jun Li + Timothy J. Allen Huang+ W. +CIMSS, UW-Madison.
Hands-on exercise showcasing ABI’s 16 channels with improved spatial resolution and temporal refresh rate (plus Weighting Functions and RGB ABI examples)
Layered Water Vapor Quick Guide by NASA / SPoRT and CIRA Why is the Layered Water Vapor Product important? Water vapor is essential for creating clouds,
Real-time Display of Simulated GOES-R (ABI) Experimental Products Donald W. Hillger NOAA/NESDIS, SaTellite Applications and Research (STAR) Regional And.
Cloud property retrieval from hyperspectral IR measurements Jun Li, Peng Zhang, Chian-Yi Liu, Xuebao Wu and CIMSS colleagues Cooperative Institute for.
Mathew M. Gunshor* 1, Timothy J. Schmit 2, W. Paul Menzel 3, and David Tobin 1 1 Cooperative Institute for Meteorological Satellite Studies - University.
GOES N, O, P Pre-launch Overview Timothy J. Schmit NOAA/NESDIS/ORA Advanced Satellite Products Team (ASPT) Madison, WI and many others UW-Madison MUG Meeting.
Satellite Data Assimilation Activities at CIMSS for FY2003 Robert M. Aune Advanced Satellite Products Team NOAA/NESDIS/ORA/ARAD Cooperative Institute for.
Mathew M. Gunshor* 1, Scott Lindstrom 2, Timothy J. Schmit 3, David C. Tobin 1, W. Paul Menzel 1 1 Cooperative Institute for Meteorological Satellite Studies.
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
PRELIMINARY VALIDATION OF IAPP MOISTURE RETRIEVALS USING DOE ARM MEASUREMENTS Wayne Feltz, Thomas Achtor, Jun Li and Harold Woolf Cooperative Institute.
Japan Meteorological Agency, June 2016 Coordination Group for Meteorological Satellites - CGMS Non-Meteorological Application for Himawari-8 Presented.
Hands-on exercise showcasing ABI’s 16 channels with improved spatial resolution and temporal refresh rate (plus RGB ABI examples) Mat Gunshor1, Tim.
GSICS Web Meeting, 17 November 2011
Paper under review for JGR-Atmospheres …
GOES-R Resources from NOAA, NASA & CIMSS
GOES-14 Imager and Sounder
SPSRB Information Brief
Update! GOES-12 Imager Striping Timothy J. Schmit, etc
USING GOES-R TO HELP MONITOR UPPER LEVEL SO2
GOES-R Risk Reduction Research on Satellite-Derived Overshooting Tops
Preparation for use of the GOES-R Advanced Baseline Imager (ABI)
Who We Are SSEC (Space Science and Engineering Center) is part of the Graduate School of the University of Wisconsin-Madison (UW). SSEC hosts CIMSS (Cooperative.
ABI Visible/Near-IR Bands
Sample GOES-O T/V test data
GOES-R Hyperspectral Environmental Suite (HES) Requirements
Geostationary Sounders
Timothy J. Schmit SaTellite Applications and Research (STAR)
Michael J. Jun Li#, Daniel K. Zhou%, and Timothy J.
Meteosat Second Generation
S-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) Lunar Calibration using GSICS Implementation of the ROLO model (GIRO) for Reflective Solar Bands.
Infrared Inter-Calibration Product Announcements
AIRS/GEO Infrared Intercalibration
Promoting New Satellite Applications Within the AWIPS Environment
GOES -12 Imager April 4, 2002 GOES-12 Imager - pre-launch info - radiances - products Timothy J. Schmit et al.
Early calibration results of FY-4A/GIIRS during in-orbit testing
Development of inter-comparison method for 3.7µm channel of SLSTR-IASI
Use of GSICS to Improve Operational Radiometric Calibration
Satellite Wind Vectors from GOES Sounder Moisture Fields
G16 vs. G17 IR Inter-comparison: Some Experiences and Lessons from validation toward GEO-GEO Inter-calibration Fangfang Yu, Xiangqian Wu, Hyelim Yoo and.
GOES-13 GOES-13/O/P will have similar instruments to GOES-8-12, but will be on a different spacecraft bus. The new bus will allow improvements both to.
Presentation transcript:

1 GOES-14 Imager and Sounder a preliminary look Timothy J. Schmit NOAA/NESDIS/Satellite Applications and Research Advanced Satellite Products Branch (ASPB) Mathew M. Gunshor, Tony Schreiner, Scott Bachmeier, Joleen Feltz, Steve Wanzong, SSEC Data Center, etc. CIMSS/SSEC, Madison, WI Don Hillger and Tim Schmit co-lead the NOAA Science Test

2 Outline Introduction First imager and sounder images –Issues –Comparisons Improved imager band 6 (13.3 um) spatial resolution Preliminary inter-calibration results Improved INR and Operation thru eclipse Initial products (imager and sounder) Web links

3 GOES-14 GOES-13/14/P have similar instruments to GOES-8- 12, but on a different spacecraft bus. Spring and fall eclipse outages will be avoided by larger onboard batteries. Improved navigation Improved radiometrics GOES-8/12 GOES-13/14/P

4 GOES-O Science Test web page: GOES-14 von Karman vorticies

5 actinoform clouds Amazon suppressing the formation of cumulus vortex in the marine layer clouds, snowsediment plume

6 Noted several issue with initial GOES-14 data Important diagnostic work was under- taken. After an issue was raised dealing with the data stream of imager band 6, the suggested fix was implemented at the ground station. Many groups, both within NOAA/NESDIS, the Cooperative Institutes, NASA and others, quickly worked together to fix this issue. The first two official full disk images were ‘too wide’ and hence displayed ‘extra’ header information within the frame of data. Sponsor: OSD G-PSDI Program Erroneous line headers of the GOES-14 Imager bands 3 and 6 (the 6.5 and 13.3 um) in the first official full disk images. GOES-14 Imager

7

8 Noted several issue with initial GOES-14 data Important diagnostic work was under-taken. After an issue was raised dealing with the data stream of imager band 6 (13.3 um), the suggested fix was implemented at the ground station. Many groups, both within NOAA/NESDIS, the Cooperative Institutes, NASA and others, quickly worked together to fix this issue. Another issue was the ‘flipped’ order of the band 6 of the GOES-14 imager in the GVAR datastream. This was communicated, corrected and verified. Sponsor: OSD G-PSDI Program Erroneous detector flip of the GOES-14 Imager band 6 (the 13.3 um) in the first IR images. GOES-12 ImagerGOES-14 Imager (before fix) Note the artificial ‘stair-step’ of cloud edges due to the detectors initially being out of order in GVAR.

9 First GOES-14 Imager and Sounder images On August 17 th and 18 th, the first official Geostationary Operational Environmental Satellite (GOES)-14 infrared (IR) images were scanned. Qualitatively, the data from the Imager and Sounder are high quality, with improved signal-to- noise ratios compared to other operating GOES satellites. The NOAA Science test will begin in December of The first GOES-14 Imager and Sounder images look to be of high quality, this is the first step for the subsequent NOAA science test check-out. (Courtesy of T. Schmit) Sponsor: OSD G-PSDI Program First GOES-14 Imager data on August 17, 2009 First GOES-14 Sounder data on August 18, 2009

10 First GOES-14 Images (sub-sampled) From NOAA ASPB Note the ‘brighter’ GOES-14 visible image

11 GOES-12 (for comparison) Note the sub-satellite points are different From NOAA ASPB

12 GOES-14 Sounder! Note clean signal, especially bands 1, 2, 12 and 15.

13 GOES-12 Sounder Data has been remapped to a common projection.

14 River Fog GOES-12GOES-14 The fog is a bit brighter and a appears more extensive in the GOES-14 image. GOES-14 is able to discern urban centers more readily than GOES-12.

15 Imager SRF

16 Improved spatial resolution of GOES-14 Imager band 6 The improved spatial resolution of the Geostationary Operational Environmental Satellites (GOES)-14 imager band 6 has been verified. This band, centered at 13.3 um, has a number of uses, the main being cloud height determination. Important diagnostic work was under-taken. After an issue was raised dealing with the data stream of imager band 6, the suggested fix was implemented at the ground station. Many groups, both within NOAA/NESDIS, the Cooperative Institutes, NASA and others, quickly worked together to fix this issue. The improved spatial resolution of the GOES-14 imager band 6 (over GOES-12/13 imagers) has been verified with initial on-orbit data. (Courtesy of T. Schmit) Sponsor: OSD G-PSDI Program The 13.3 um band 6 of the GOES-12 (left panel) has an 8 km IGFOV (Instantaneous Geometric Field of View); while the same band on the GOES-14 (right panel) has a 4 km IGFOV. Note the finer resolution of the cloud edges and the ‘cleaner’ image. GOES-12 GOES-14

Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison 17 Methodology: GEO – IASI Intercal  Collocation in time and space.  Within 30 minutes at geostationary subpoint (GSNO – Geostationary Simultaneous Nadir Observation)  Low Satellite View Angles (< 14)  Spatial smoothing  100km “running average” mitigates the negative effects of poor spatial and temporal collocation, poor navigation, and spatial resolution differences.  Average radiances, not temperatures.  Compare a common area around the GEO sub-point, not “pixel to pixel” comparisons  “Convolve” high spectral resolution Radiance spectra with GEO Spectral Response Function.  Compare mean scene brightness temperatures (converted from mean scene radiances).

18 Preliminary intercalibration results with GOES-14 Imager using IASI Mean temperature differences with IASI (for 12 cases) are: -0.4 K for the Shortwave Window band (5 night cases) +0.8 K for the Water Vapor band +0.1 K for the IR Window band -0.6 K for the CO 2 Absorption band – The CO 2 band SRF may be updated before the science test takes place. – Some of these results may include cases where navigation was not optimal. – Similar results from Dr. Wu (not shown)

19 Improved INR

20 Great navigation just after yaw-flip

21 Operation through Eclipse

22 GOES Series Sounder Noise Wavelength ChannelGOES-08GOES-09GOES-10GOES-11GOES-12GOES-13GOES-14 SPEC (I-M) Preliminary GOES-14 – the best Sounder yet wrt noise performance! Units: mW/(m 2 ster cm -1 )

23 Visible GOES-12; SNR of 13:1 GOES-14; SNR of 33:1

24

25

26

27

28

29 Cloud-top Pressure (GOES-14 Sounder)

30 Cloud-top Pressure (Sounder)

31

32 Cloud-top Pressure (GOES-14 Imager)

33 Cloud-top Pressure (GOES-14 Sounder)

34

35 Clear-sky brightness temperatures (Imager)

36 Total Precipitable Water vapor (Sounder)

37 Total Precipitable Water vapor (GOES-14 Sounder)

38 GOES-14 Imager AMV (low-level)

39 GOES-14 Imager AMV (mid and upper-level)

40 SRF There maybe updated imager and sounder GOES-14 spectral response functions (SRF) released.

41 GOES-14 Imager and Sounder