Passive Microwave Radiometer constellation for Sea Surface Temperature Prepared by CEOS Sea Surface Temperature Virtual Constellation (SST-VC) Presented.

Slides:



Advertisements
Similar presentations
Robin Hogan Julien Delanoe University of Reading Remote sensing of ice clouds from space.
Advertisements

Calibration Method of Microwave Tb for Retrieving Accurate SST Akira Shibata JAXA / EORC Advances of Satellite Oceanography at Vladivostok, Oct. 3-6, 2007.
Pathfinder –> MODIS -> VIIRS Evolution of a CDR Robert Evans, Peter Minnett, Guillermo Podesta Kay Kilpatrick (retired), Sue Walsh, Vicki Halliwell, Liz.
Characterization of ATMS Bias Using GPSRO Observations Lin Lin 1,2, Fuzhong Weng 2 and Xiaolei Zou 3 1 Earth Resources Technology, Inc.
GHRSST XI Science Team Meeting, ST-VAL, June 2010, Lima, Peru Recent developments to the SST Quality Monitor (SQUAM) and SST validation with In situ.
1 6th GOES Users' Conference, Madison, Wisconsin, Nov 3-5 WMO Activities and Plans for Geostationary and Highly Elliptical Orbit Satellites Jérôme Lafeuille.
Extension and application of an AMSR global land parameter data record for ecosystem studies Jinyang Du, John S. Kimball, Lucas A. Jones, Youngwook Kim,
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Maintaining and Improving the AMSR-E and WindSat Ocean Products Frank J. Wentz Remote Sensing Systems, Santa Rosa CA AMSR TIM Agenda 4-5 September 2013.
Sea water dielectric constant, temperature and remote sensing of Sea Surface Salinity E. P. Dinnat 1,2, D. M. Le Vine 1, J. Boutin 3, X. Yin 3, 1 Cryospheric.
Monitoring the Arctic and Antarctic By: Amanda Kamenitz.
Applications of Remote Sensing: The Cryosphere (Snow & Ice) Menglin Jin, San Jose Stte University Outline  Physical principles  International satellite.
NOAA Climate Obs 4th Annual Review Silver Spring, MD May 10-12, NOAA’s National Climatic Data Center 1.SSTs for Daily SST OI NOAA’s National.
1 Improved Sea Surface Temperature (SST) Analyses for Climate NOAA’s National Climatic Data Center Asheville, NC Thomas M. Smith Richard W. Reynolds Kenneth.
Recent activities on utilization of microwave imager data in the JMA NWP system - Preparation for AMSR2 data assimilation - Masahiro Kazumori Japan Meteorological.
MISST FY1 team meeting April 5-6, Miami, FL NOAA: Gary Wick, Eric Bayler, Ken Casey, Andy Harris, Tim Mavor Navy: Bruce Mckenzie, Charlie Barron NASA:
Improving the AMSR-E snow depth product: recent developments Richard Kelly University of Waterloo, Canada.
SMOS+ STORM Evolution Kick-off Meeting, 2 April 2014 SOLab work description Zabolotskikh E., Kudryavtsev V.
Retrieving Snowpack Properties From Land Surface Microwave Emissivities Based on Artificial Neural Network Techniques Narges Shahroudi William Rossow NOAA-CREST.
MODIS Sea-Surface Temperatures for GHRSST-PP Robert H. Evans & Peter J. Minnett Otis Brown, Erica Key, Goshka Szczodrak, Kay Kilpatrick, Warner Baringer,
GHRSST, V1, CGMS 41 July 2013 Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Coordination Group.
Evaluation of Microwave Scatterometers and Radiometers as Satellite Anemometers Frank J. Wentz, Thomas Meissner, and Deborah Smith Presented at: NOAA/NASA.
Passive Microwave Remote Sensing
Development and evaluation of Passive Microwave SWE retrieval equations for mountainous area Naoki Mizukami.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
AN ENHANCED SST COMPOSITE FOR WEATHER FORECASTING AND REGIONAL CLIMATE STUDIES Gary Jedlovec 1, Jorge Vazquez 2, and Ed Armstrong 2 1NASA/MSFC Earth Science.
CEOS SST-VC Status Kenneth S. Casey and Anne O’Carroll on behalf of the SST-VC members CEOS VC/WG day 16 September 2015.
The Relation Between SST, Clouds, Precipitation and Wave Structures Across the Equatorial Pacific Anita D. Rapp and Chris Kummerow 14 July 2008 AMSR Science.
WATER VAPOR RETRIEVAL OVER CLOUD COVER AREA ON LAND Dabin Ji, Jiancheng Shi, Shenglei Zhang Institute for Remote Sensing Applications Chinese Academy of.
NPOESS Conical Scanning Microwave Imager/ Sounder (CMIS) Overview
Using GLAS to Characterize Errors in Passive Satellite Cloud Climatologies Michael J Pavolonis* and Andrew K Heidinger# *CIMSS/SSEC/UW-Madison #NOAA/NESDIS.
The Variability of Sea Ice from Aqua’s AMSR-E Instrument: A Quantitative Comparison of the Team and Bootstrap Algorithms By Lorraine M. Beane Dr. Claire.
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.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
Geophysical Ocean Products from AMSR-E & WindSAT Chelle L. Gentemann, Frank Wentz, Thomas Meissner, Kyle Hilburn, Deborah Smith, and Marty Brewer
Basis of GV for Japan’s Hydro-Meteorological Process Modelling Research GPM Workshop Sep. 27 to 30, Taipei, Taiwan Toshio Koike, Tobias Graf, Mirza Cyrus.
A step toward operational use of AMSR-E horizontal polarized radiance in JMA global data assimilation system Masahiro Kazumori Numerical Prediction Division.
AMSR-E and WindSAT Version 7 Microwave SSTs C. Gentemann, F. Wentz, T. Meissner, & L.Riccardulli Remote Sensing Systems NASA SST ST October.
SCM x330 Ocean Discovery through Technology Area F GE.
A comparison of AMSR-E and AATSR SST time-series A preliminary investigation into the effects of using cloud-cleared SST data as opposed to all-sky SST.
CGMS-43-NOAA-WP-24 Coordination Group for Meteorological Satellites - CGMS NOAA Report on Ocean Parameters – Coral Reef Watch Presented to CGMS-43 Working.
Information on a potential CEOS Sea Surface Temperature Virtual Constellation (SST-VC) Craig Donlon (ESA) Kenneth S. Casey (NOAA) CEOS Plenary, Rio De.
International GHRSST User Symposium Santa Rosa, California, USA 28-29th May 2009 MODIS Sea-Surface Temperatures Peter J Minnett & Robert H. Evans With.
2 Jun 09 UNCLASSIFIED 10th GHRSST Science Team Meeting Santa Rosa, CA 1 – 5 June Presented by Bruce McKenzie Charlie N. Barron, A.B. Kara, C. Rowley.
Passive Microwave Remote Sensing
Coordination Group for Meteorological Satellites - CGMS Korea Meteorological Administration, May 2015 KMA Progress on COMS Cloud Detection Presented to.
GHRSST/CEOS SST-VC, V1, 13 May 2014 Coordination Group for Meteorological Satellites - CGMS Add CGMS agency logo here (in the slide master) Coordination.
SOLab work description
NOAA Report on Ocean Parameters - SST Presented to CGMS-43 Working Group 2 session, agenda item 9 Author: Sasha Ignatov.
Precipitation Classification and Analysis from AMSU
GPM Microwave Radiometer Vicarious Cold Calibration
Passive Microwave Radiometer Constellation for Sea Surface Temperature
Passive Microwave Systems & Products
Robert Joycea, Pingping Xieb, and Shaorong Wua
Validation of Satellite-derived Lake Surface Temperatures
EG2234 Earth Observation Weather Forecasting.
Strategies to Mitigate Risk of Microwave Imager Mission Gap
Importance of PMW constellation for SST and impacts
The HOAPS-3 climatology
Application of GI to weather forecasting
Precipitation Virtual Constellation (P-VC)
The Global Satellite Mapping of Precipitation (GSMaP) project: Integration of microwave and infrared radiometers for a global precipitation map Tomoo.
SIT Chair Priorities and SIT-33 Objectives
Satellite Foundational Course for JPSS (SatFC-J)
Recent activities of the OSVW-VC
CEOS SIT Chair Priorities
Recent activities of the OSVW-VC
Comparison of observed SST Vs. Satellite AVHRR SST
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.
Sea Surface Temperature – Virtual Constellation
Presentation transcript:

Passive Microwave Radiometer constellation for Sea Surface Temperature Prepared by CEOS Sea Surface Temperature Virtual Constellation (SST-VC) Presented to CGMS-44 WGIII/6 by A. O’Carroll & K. Casey

Presented to CEOS SIT-31 in April 2016. Overview Use of Passive Microwave Radiometers (PMW) for SST retrievals is an essential component of global constellation of SST sensors. Provides temperature of ocean under clouds, not possible from infrared sensors, albeit with coarser spatial resolution. Particularly important in high-latitude regions and in areas of extensive and persistent cloud cover or in case of a large volcanic event. Currently there are risks and gaps identified in constellation, therefore continuity and redundancy of PMW for SST is sought, and particularly with access to current and future operational data streams. Presented to CEOS SIT-31 in April 2016. Follows on from presentation to CGMS-42 in 2014.

Passive Microwave Radiometer constellation for SST

The benefit to SST retrievals using ~7GHz and ~11GHz channels Standard deviation of differences between AMSR-E and Reynolds SST for top (7GHz AMSR-E SST) and bottom (11GHz AMSR-E SST). Map using 11GHz demonstrates significant errors above 40 degree latitude for both hemispheres, due to decreased sensitivity to colder SST at 11 GHz. Importance of 6-7GHz channel at high-latitudes. From Gentemann et al. (2010).

Importance of 6-7GHz for SST AMSR-E minus Reynolds SST as a function of 7 GHz SST (top) and 11 GHz SST (bottom). Increased differences between the two retrievals at cooler temperatures. 7 GHz SST retrieval gives much more stable differences for all temperatures. From Gentemann et al. (2010).

Radio Frequency Interference Double difference of brightness temperature minus radiative transfer model simulated brightness temperatures, TB6.9-RTM6.9 – (TB7.3-RTM7.3), showing the many vertical red streaks where satellite-satellite RFI is affecting SST retrievals. Presently the only method for removing these contaminated SST retrievals depends on having both 6.9GHz and 7.3GHz channels (from Gentemann et al (2015)).

Cloud cover limitations on infrared SST Maximum cloud persistence (days) from MODIS v6 daytime cloud mask data (seasons relate to Northern Hemisphere; D indicates daytime part of each orbit). Highlights regions where infrared SST retrievals are prevented due to persistent cloud cover. Regions where 11GHz are not accurate and infrared not possible due to cloud are highly correlated. Emphasizes need for 6-7GHz channel. From Lui and Minnett (2016).

Summary Uncertain future for PMW SSTs, especially at high latitudes where the PMW SSTs provide valuable through-cloud data in the region where the climate is changing most rapidly. The current outlook means there is a high risk of a gap, particularly for SSTs using the ~7GHz channel. The GHRSST science team meeting will be in Qingdao in June 2017 and should facilitate closer collaboration with China on the HY-2 and FY-3 series towards PMW SST capabilities. There is a need to work together on lower level data to ensure sensors are well calibrated and to tie in to existing records. The operational availability of PMW data from HY-2 and in the future from Meteor is of interest.

Coordination Group for Meteorological Satellites - CGMS   Progress has been made regarding ‘reference’ dual-view SST data (Sentinel-3 SLSTR); geostationary SST over full Indian Ocean; increased participation of agencies with SST capability to GHRSST and the SST-VC. There is a risk to the current and continued PMW constellation for SST and a need for a redundant capability of PMW with ~7 GHz. These concerns are now heightened with no confirmed continuity of plans for AMSR-2 available. Operational availability of PMW data from HY-2 and in the future from Meteor. Key issues of relevance to CGMS:

Coordination Group for Meteorological Satellites - CGMS   Coordination and assistance to ensure the continuation of the existing capability of PMW for SST. Coordination and assistance to ensure the redundancy of PMW for SST. Assistance with access to current and future operational PMW data streams. To be considered by CGMS: