Space and time scales in satellite oceanography

Slides:

Advertisements

Similar presentations

Environmental Application of Remote Sensing: CE 6900 Tennessee Technological University Department of Civil and Environmental Engineering Course Instructor:

Advertisements

ROMS User Workshop, October 2, 2007, Los Angeles

A case study in the Western Indian Ocean

Weymouth (125) Lowestoft (375) RV Endeavour Smarter Marine Monitoring from Space Rodney Forster, Cefas 1- Current uses in monitoring, operations and forecasting.

“SAMOSA” an ESA SAR Altimetry Ocean, Coastal Zones and Inland Water Development Study Jérôme Benveniste ESA Jérôme Benveniste ESA Presented at the Coastal.

David Prado Oct Antarctic Sea Ice: John N. Rayner and David A. Howarth 1979.

Regional rainfall measurements using Passive Aquatic Listener during SPURS field campaign Jie Yang, Stephen C. Riser, Jeffrey A. Nystuen, William E. Asher,

2 Remote sensing applications in Oceanography: How much we can see using ocean color? Adapted from lectures by: Martin A Montes Rutgers University Institute.

VENUS (Vegetation and Environment New µ-Spacecraft) A demonstration space mission dedicated to land surface environment (Vegetation and Environment New.

Abbie Harris - NOAA Ocean Acidification Think Tank #5 Current and Future Research at the Institute for Marine Remote Sensing Abbie Rae Harris Institute.

Why We Care or Why We Go to Sea.

Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.

Planning the infrastructure for marine monitoring and operational oceanography Lennart Funkquist Swedish Meteorological and Hydrological Institute Figures.

Students collect a water sample. An amphipod that couldn’t escape our nets. Figure 1: This screenshot shows the controlling page for running model animations.

Simultaneous Presence of 30 and 60 days ISO modes in Indian Summer Monsoon Observed from TRMM Merged Rainfall Data M S Narayanan National Atmospheric Research.

Earth Observation from Satellites GEOF 334 MICROWAVE REMOTE SENSING A brief introduction.

Christine Urbanowicz Prepared for NC Climate Fellows Workshop June 21, 2011.

1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.

Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Measurements.

0 IOCCG 2003 Yongseung Kim Remote Sensing Department Korea Aerospace Research Institute High Resolution Visible and IR Sensors (HiRVIS) on Geostationary.

DMI-OI analysis in the Arctic DMI-OI processing scheme or Arctic Arctic bias correction method Arctic L4 Reanalysis Biases (AATSR – Pathfinder) Validation.

NASA Earth Science UAS Mission Requirements Don Sullivan NASA Ames Research Center

Ocean Color Remote Sensing Pete Strutton, COAS/OSU.

Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry

Why We Care or Why We Go to Sea.

Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:

VIIRS Product Evaluation at the Ocean PEATE Frederick S. Patt Gene C. Feldman IGARSS 2010 July 27, 2010.

ISAC Contribution to Ocean Color activity Mediterranean high resolution surface chlorophyll mapping Use available bio-optical data sets to estimate the.

A Comparison of Doppler Lidar and Weather Balloon Wind Speed Profiles Patrick Selmer Research and Discover – UNH Advisors: Dr. Ivan Dors and Dr. James.

Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.

Coastal Optical Characterization Experiment (COCE) Activities at STAR NOAA 2013 Satellite Conference, April 7-12, 2013 M. Ondrusek,

ESTIMATION OF RIVER DISCHARGE WITH MODIS IMAGES The University of Tokyo, Institute of Industrial Science (IIS) Kohei Hashimoto and Kazuo Oki.

Infrared and Microwave Remote Sensing of Sea Surface Temperature Gary A. Wick NOAA Environmental Technology Laboratory January 14, 2004.

Yellow River Delta Morphology Over Time: A Remote Sensing Spatial Study Utilizing MODIS James Lee Waclawczyk Department of Earth and Environmental Science,

SCM x330 Ocean Discovery through Technology Area F GE.

Assessment on Phytoplankton Quantity in Coastal Area by Using Remote Sensing Data RI Songgun Marine Environment Monitoring and Forecasting Division State.

Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Sampling transects conducted in the southern Caspian Sea in the period of 2001.

Monitoring and prediction of ENSO, the Benguela Nino and other large scale phenomena; subsequent impacts upon southern African rainfall patterns; and the.

RTOFS Monitoring and Evaluation Metrics Avichal Mehra MMAB/EMC/NCEP/NWS.

Changsheng Chen 1, Guoping Gao 1, Andrey Proshuntinsky 2 and Robert C. Beardsley 2 1 Department of Fisheries Oceanography University of Massachusetts-Dartmouth.

Spaceborne Polarimetric Microwave Radiometer Brandon Ravenscroft

Validating SMAP SSS with in situ measurements

NASA/US Ocean Satellite Missions

NOAA Report on Ocean Parameters - SST Presented to CGMS-43 Working Group 2 session, agenda item 9 Author: Sasha Ignatov.

Operational Oceanography Science and Services for Europe and Mediterranean Srdjan Dobricic, CMCC, Bologna, Italy on behalf of National Group of Operational.

Observation of sub-mesoscale eddies over Baltic Sea using TerraSAR-X and Oceanographic data Aikaterini Tavri (1), Suman Singha (2), Susanne Lehner (3),

Jeremy Fisher & John Mustard Geological Sciences - Brown University

IMAGERY DERIVED CURRENTS FROM NPP Ocean Color Products 110 minutes!

5th Workshop on "SMART Cable Systems: Latest Developments and Designing the Wet Demonstrator Project" (Dubai, UAE, April 2016) Contribution of.

Validation of Satellite-derived Lake Surface Temperatures

GOES-R Hyperspectral Environmental Suite (HES) Requirements

Jorge Vazquez1, Erik Crosman2 and Toshio Michael Chin1

‘Aquarius’ Maps Ocean Salinity Fine-scale Structure

Satellite Sensors – Historical Perspectives

The SST CCI: Scientific Approaches

Generation of Cloud Products from NOAA’s Operational Satellite Imagers

Planning a Remote Sensing Project

Ocean Surface waves Young-Heon Jo 2014 Spring Semester Section 8

Satellite Foundational Course for JPSS (SatFC-J)

Santa Monica Bay sea surface temp March , 2002

NOAA Objective Sea Surface Salinity Analysis P. Xie, Y. Xue, and A

Your Name A suitable title for your presentation Include the date of your presentation.

Young-Heon Jo 2017 Spring Semester Section 8 and beyond

Eutrophication indicators PSA & EUTRISK

Young-Heon Jo 2014 Spring Semester Section 8 and beyond

Satellite Data for the Oceans

OCB Plenary II Q: How is climate change affecting Southern Ocean?

NASA Jet Propulsion Laboratory, California Institute of Technology

Presentation transcript:

Space and time scales in satellite oceanography March 21, 2017 Multi-Satellite Remote Sensing Section 4 Space and time scales in satellite oceanography Young-Heon Jo 2017 Spring Semester

What do you see? Large scale red tide Cochlodinium blooms, 8,13, 2013

Various sample images uTube

Outline 4.1 Creation of images data sets 4.2 Sampling frequency for satellite data 4.3 Space-time sampling characteristics of remotely sensed ocean measurements 4.4 Scales of ocean processes 4.5 Matching sampling capabilities to ocean processes 4.6 In situ sampling for satellite product validation

4.1 Creation of images data sets 4.1.1 point measurements

4.1.2 creating images

4.1.3 spatial resolution

4.1.4 Improving spatial resolution

4.1.5 Size of Images

4.2 Sampling frequency for satellite data

Daily SST 3 days SST http://www.remss.com/ http://images.remss.com/amsr/amsr2_data_daily.html

3 days rain rate Monthly mean rain rate

4.3 Space-time sampling characteristics of remotely sensed ocean measurements

4.4 Scales of ocean processes

4.5 Matching sampling capabilities to ocean processes

4.5.1 Observing horizontal patterns

4.5.2 Observing vertical variation http://www.youtube.com/watch?v=J7kIGdhW9jQ http://www.youtube.com/watch?v=xBcN3o1hmv0 : Water Quality http://www.youtube.com/watch?v=FpnVvWhxVNc Multi-band http://www.youtube.com/watch?v=t6vG2OAq-UA Sensor geometric characteristics

4.6 In situ sampling for satellite product validation 4.6.1 Requirement for in situ observations but not “sea truth” 4.6.2 Spatial-temporal matching between satellite and in situ data

Data processing Numerous US launch failures

http://www. satimagingcorp http://www.satimagingcorp.com/characterization-of-satellite-remote-sensing-systems.html Field Data: http://www.youtube.com/watch?v=wSxlfSd4Pq0