ODYSSEA Global and Regional High Resolution SST products
|
|
|
- Stuart Garey Ford
- 6 years ago
- Views:
Transcription
1 ODYSSEA Global and Regional High Resolution SST products Emmanuelle Autret, Jean François Piollé, Pierre Tandéo Laboratoire d'océanographie Spatiale, Cersat, Ifremer, France
2 Context MEDSPIRATION / MARCOAST (2005 on going) Develop new innovative high resolution merged SST (resolution: 0.02, daily) Over The Mediterranean Sea, North West Europe, The Galapagos Extented by ESA until 2010 MERSEA ( ) to develop a global analysis and regional fine scale analyses for modellers and downstream services (resolution: 0.1, daily) pre operational New: Brazil, South Africa, The Great Barrier Reef several partners : CMS, Ifremer, MetNo, DMI, CNR, NOCS, CLS, UKMet MyOcean ( ) Sustained and operational production for Global (resolution: 0.1, daily) and North West Europe (resolution: 0.02, daily) operational field of expertise : sensor intercalibration and merging, specific areas, high latitudes, optimal interpolation,
3 Product Global resolution 0.1 Daily 0.02 Daily The Mediterranean Sea Northen Europe shelves Brazil The Great Barrier Reef South Africa Odyssea SST L4 products
4 Odyssea SST L4 products North West Europe The Mediterranean Sea South Africa Brazil The Great Barrier Reef
5 Method GHRSST L2P products Observation quality control, correction (sses), filtering «re mapped» monosensor products Selection based on proximity to analysis time and best quality Pre processing steps «composite monosensor products» (/day /sensor) Correction of large scale bias field against AATSR for each sensor Intercalibrated monosensor products (/day /sensor) Merging of composite files «multisensor composite products» (/day) Optimal interpolation Multi senosor analysed field
6 Method GHRSST L2P products Observation quality control, correction (sses), filtering «re mapped» monosensor products Selection based on proximity to analysis time and best quality Pre processing steps «composite monosensor products» (/day /sensor) Correction of large scale bias field against AATSR for each sensor Intercalibrated monosensor products (/day /sensor) Merging of composite files «multisensor composite products» (/day) Optimal interpolation Multi senosor analysed field
7 Method: Dataset Original resol. Satellite/sensor product Provider 1 km AATSR EUR-ATS_NR_2P MEDSPIRATION/IFREMER ftp://ftp.ifremer.fr/ifremer/medspiration/data 1 km AVHRR EUR-L2P-AVHRR_METOP_A MEDSPIRATION/IFREMER ftp://ftp.ifremer.fr/ifremer/medspiration/data 2 km AVHRR EUR-L2P-NAR17_SST EUR-L2P-NAR18_SST MEDSPIRATION/IFREMER ftp://ftp.ifremer.fr/ifremer/medspiration/data 2 km AVHRR NAVO-L2P-AVHRR17_L NAVO-L2P-AVHRR18_L GDAC/NASA ftp://podaac.jpl.nasa.gov/pub/ghrsst/data 3 km GOES/VISSR OSDPD-L2P-GOES11 OSDPD-L2P-GOES12 NOAA/NESDIS ftp://gp16.ssd.nesdis.noaa.gov/pub/goessst/l2p 9 km MSG-1/SEVIRI EUR-L2P-SEVIRI_SST 10 km AVHRR NAVO-L2P-AVHRR17_G NAVO-L2P-AVHRR18_G 25 km AMSRE USA-RSS-AMSRE-MW-L2-SST MISST/RSS ftp://ftp.misst.org/amsre/swath/nc 25 km TMI REMSS-L2P-TMI MEDSPIRATION/IFREMER ftp://ftp.ifremer.fr/ifremer/medspiration/data GDAC/NASA ftp://podaac.jpl.nasa.gov/pub/ghrsst/data MISST/RSS ftp://ftp.misst.org/amsre/swath/nc
8 Method GHRSST L2P products Observation quality control, correction (sses), filtering «re mapped» monosensor products Selection based on proximity to analysis time and best quality Pre processing steps «composite monosensor products» (/day /sensor) Correction of large scale bias field against AATSR for each sensor Intercalibrated monosensor products (/day /sensor) Merging of composite files «multisensor composite products» (/day) Optimal interpolation Multi senosor analysed field
9 Method: Data selection and correction Data selection Data correction Remapping Night time only Quality confidence Satellite zenital angle Aerosols Specific tuning for each product Error statistics (SSES) Adjustement of reference sensor (AATSR) to buoys Closest neighbour or averaging depending on resolution => superobservations
10 Method: Sampling of mono sensor files (1)
11 Sampling of mono sensor files (2)
12 Sampling of mono sensor files (3)
13 Method GHRSST L2P products Observation quality control, correction (sses), filtering «re mapped» monosensor products Selection based on proximity to analysis time and best quality Pre processing steps «composite monosensor products» (/day /sensor) Correction of large scale bias field against AATSR for each sensor Intercalibrated monosensor products (/day /sensor) Merging of composite files «multisensor composite products» (/day) Optimal interpolation Multi senosor analysed field
14 Method: Sensor intercalibration (1) Spatial and temporal dependence of SST discrepancies between observations from different l2p products Example for one day : histogram of global difference mean with AATSR l2p (collocated data) AMSRE NAR18 m= 0.06 C std=0.52 C m=0.18 C std=0.36 C AVHRR18L m= 0.05 C std=0.42 C GOES11 m= 0.46 C std=0.40 C TMI m=0.24 C AVHRR17G m=0.03 C AVHRR18G m=0.01 C NAR17 m=0.19 C std=0.53 C std=0.32 C std=0.28 C std=0.36 C Need for daily data intercalibration before merging
15 Method: Sensor intercalibration (2) Each day, a large scale bias field between the considered sensor and a reference (currently AATSR) is computed. Method: using anomalies between the sensor to be calibrated and the reference over 10 days, large scale biases are estimated by optimal interpolation. Main steps: Computation of reference SST subskin (AATSR) Aggregation of bias information over 10 days Large scale bias estimate (optimal interpolation) Correction of SST (sensor to be calibrated)
16 Method: Sensor intercalibration (3) Example for one day : estimated correction to be applied to SST values
17 Method GHRSST L2P products Observation quality control, correction (sses), filtering «re mapped» monosensor products Selection based on proximity to analysis time and best quality Pre processing steps «composite monosensor products» (/day /sensor) Correction of large scale bias field against AATSR for each sensor Intercalibrated monosensor products (/day /sensor) Merging of composite files «multisensor composite products» (/day) Optimal interpolation Multi senosor analysed field
18 Method: multi sensor file sampling Proximity to analysis time This merged intercalibrated multi sensor product is also distributed on ftp. Source of data
19 Method GHRSST L2P products Observation quality control, correction (sses), filtering «re mapped» monosensor products Selection based on proximity to analysis time and best quality Pre processing steps «composite monosensor products» (/day /sensor) Correction of large scale bias field against AATSR for each sensor Intercalibrated monosensor products (/day /sensor) Merging of composite files «multisensor composite products» (/day) Optimal interpolation Multi senosor analysed field
20 Method: optimal interpolation Background: daily climatology (Pathfinder V5 5day climatology filled and averaged on a 1 x1 grid and interpolated in time) Structure function modeled by gaussian functions Correlation scales in X and Y: ~ Rossby radius (bounded by 20 km and 80 km), isotropic. In time: 2 days
21 Analysed field
22 Data access Links to : ODYSSEA documentation FTP and OpenDAP access monitoring tools: Real time maps of SST fields, SST gradients, intermediate products, and comparisons with other products available on:
23 On going work The current system provides high resolution SST fields : In accordance with in situ observations (not used by the system) In accordance with OSTIA using a similar data set With a good gradients restitution despite the optimal interpolation Nevertheless, improvements can be done on several pre processing and method weak points: Weaknesses Intercalibration exclusively based on AATSR data No temporal processes (no dynamic model) Data preprocessing Improvements In test: methodology for an alternative to AATSR. The method consists in constructing a reference not only from AATSR data but using all available sources New analysis scheme for multisource data and continuous time assimilation (given by Kalman Filter), (PhD student, Pierre Tandeo ) Improvement of data selection and aggregation (data preprocessing software fully recoded)
24 Plans Sustain current products : Global, The Mediterranean, North West Europe New products: Brazil, South Africa, The Great Barrier Reef Improve the chain of operation new processing environment, redundancy Processing fully recoded and optimized Include improved points Reprocess over Medspiration era (Mediterranean )
25 Monitoring tools (some examples) Comparisons between ODYSSEA L4 and other L4 products (gradients) ~ 10 km ~ 5 km ~ 8 km deg C / km
Françoise Orain(Meteo-France), Igor Tomazic(GHER Belgium /Eumetsat), Aida Alvera Azcarate (GHER Belgium
Comparison of two methods DINEOF and CMEMS operational method at Meteo France on calculation of SEVIRI biases(metop reference) over one year in operational context on European seas Françoise Orain(Meteo-France),
Copernicus Sentinel-3 SST L1 to L4 processing chain and GHRSST perspectives
Copernicus Sentinel-3 SST L1 to L4 processing chain and GHRSST perspectives Anne O Carroll 23/1/2018 ECMWF workshop on SST and sea-ice Outline Sentinel-3 Sea Surface temperature o Products and mission
Use of Drifting Buoy SST in Remote Sensing. Chris Merchant University of Edinburgh Gary Corlett University of Leicester
Use of Drifting Buoy SST in Remote Sensing Chris Merchant University of Edinburgh Gary Corlett University of Leicester Three decades of AVHRR SST Empirical regression to buoy SSTs to define retrieval Agreement
Medspiration : from demonstration to operation, history and legacy
Medspiration : from demonstration to operation, history and legacy Jean-François Piollé, Olivier Arino, Craig Donlon, Ian Robinson, Pierre Leborgne, E.Autret, Jean Tournadre, Dave Poulter, Bruno Buonjurno-Nardelli,
observed with ARGO profiles
Global heat and salt content observed with ARGO profiles F. Gaillard, E. Autret,, LPO,Brest and C. Coatanoan,, SISMER/IFREMER, Brest ARGO science wotkshop, Venice,, 15-18 18 march 2006 An overview of ARGO
Feedback on Level-1 data from CCI projects
Feedback on Level-1 data from CCI projects R. Hollmann, Cloud_cci Background Following this years CMUG meeting & Science Leader discussion on Level 1 CCI projects ingest a lot of level 1 satellite data
DEVELOPING AN OCEAN COLOUR SERVICE SUPPORTING GLOBAL CARBON-CYCLE RESEARCH AND OPERATIONAL OCEANOGRAPHY
DEVELOPING AN OCEAN COLOUR SERVICE SUPPORTING GLOBAL CARBON-CYCLE RESEARCH AND OPERATIONAL OCEANOGRAPHY Odile Fanton d'andon 1, Samantha Lavender 2, Antoine Mangin 1 and Simon Pinnock 3 (1) ACRI-ST, France
Aquarius optimum interpolation analysis for global and regional studies
Aquarius optimum interpolation analysis for global and regional studies 3 beams 390 km wide swath 84x120 km 76x94 km 96x156 km O. Melnichenko, P. Hacker, N. Maximenko, G. Lagerloef, and J. Potemra 2014
The AATSR LST retrieval: State of knowledge and current developments
The AATSR LST retrieval: State of knowledge and current developments Darren Ghent, Ed Comyn-Platt, Gary Corlett, David Llewellyn-Jones, Harjinder Sembhi, Karen Veal, Christopher Whyte and John Remedios
Global Comparison of Argo dynamic height with Altimeter sea level anomalies
Global Comparison of Argo dynamic height with Altimeter sea level anomalies Stéphanie Guinehut, Anne-Lise Dhomps, Gilles Larnicol CLS, Space Oceanography Division Christine Coatanoan, Pierre-Yves Le Traon
A view from the Global Space-based Inter- Calibration System (GSICS. Mitch Goldberg, NOAA Chair of GSICS Executive Panel
A view from the Global Space-based Inter- Calibration System (GSICS Mitch Goldberg, NOAA Chair of GSICS Executive Panel Global Space-based Inter-Calibration System What is GSICS? Global Space-based Inter-Calibration
Assimilation and monitoring of SSMIS, AMSRE and TMI data at ECMWF. Niels Bormann, Graeme Kelly, Peter Bauer (ECMWF) and Bill Bell (Met.
Assimilation and monitoring of SSMIS, AMSRE and TMI data at ECMWF Niels Bormann, Graeme Kelly, Peter Bauer (ECMWF) and Bill Bell (Met. Office) Outline 1. SSMIS (temperature-sounding channels) 2. SSMIS
WP2400: Sea State Bias
Sea Level CCI Selection Meeting WP2400: Sea State Bias Ngan Tran, Jean-François Legeais (CLS) WP2400: SSB Approach developed in collaboration with D. Vandemark (UNH) and B. Chapron (IFREMER). Development
SMOS and Aquarius: SSS and Wind Effect
SMOS and Aquarius: SSS and Wind Effect J. Boutin, X. Yin, N. Martin (LOCEAN, Paris), E. Dinnat (Chapman University/NASA/GSFC), S. Yueh (NASA/JPL) Coll. G. Reverdin (LOCEAN), G. Alory (LEGOS), F. Gaillard
COMPATIBILITY AND INTEGRATION OF NDVI DATA OBTAINED FROM AVHRR/NOAA AND SEVIRI/MSG SENSORS
COMPATIBILITY AND INTEGRATION OF NDVI DATA OBTAINED FROM AVHRR/NOAA AND SEVIRI/MSG SENSORS Gabriele Poli, Giulia Adembri, Maurizio Tommasini, Monica Gherardelli Department of Electronics and Telecommunication
Are Radiometers and Scatterometers Seeing the Same Wind Speed?
Are Radiometers and Scatterometers Seeing the Same Wind Speed? Frank J. Wentz and Thomas Meissner Remote Sensing Systems NASA Ocean Vector Wind Science Team Meeting May 18-, 9 Boulder, CO Radiometer and
MERIS instrument. Muriel Simon, Serco c/o ESA
MERIS instrument Muriel Simon, Serco c/o ESA Workshop on Sustainable Development in Mountain Areas of Andean Countries Mendoza, Argentina, 26-30 November 2007 ENVISAT MISSION 2 Mission Chlorophyll case
AEROSAT Goals (1) ! Make satellite aerosol data as useful as possible to customers, especially climate modelers (e.g., AeroCom)
AEROSAT Goals (1)! Make satellite aerosol data as useful as possible to customers, especially climate modelers (e.g., AeroCom)! Achieve open and active exchange of information! retrievals and their strengths
Landsat 8, Level 1 Product Performance Cyclic Report July 2016
Landsat 8, Level 1 Product Performance Cyclic Report July 2016 Author(s) : Sébastien Saunier (IDEAS+, Telespazio VEGA) Amy Northrop (IDEAS+, Telespazio VEGA) IDEAS+-VEG-OQC-REP-2647 Issue July 2016 1 September
Satellite data processing and analysis: Examples and practical considerations
Satellite data processing and analysis: Examples and practical considerations Dániel Kristóf Ottó Petrik, Róbert Pataki, András Kolesár International LCLUC Regional Science Meeting in Central Europe Sopron,
progress report: Q2 2011
Consortium Members ESA Sea level CCI Quarterly progress report: Q2 2011 Reference: Nomenclature: CLS-DOS-NT-10-322 SLCCI-QPR-006 Issue: 1. 0 Date: Jul. 4, 11 CLS-DOS-NT-10-322 SLCCI-QPR-006 V 1.0 Jul.
P5.15 ADDRESSING SPECTRAL GAPS WHEN USING AIRS FOR INTERCALIBRATION OF OPERATIONAL GEOSTATIONARY IMAGERS
P5.15 ADDRESSING SPECTRAL GAPS WHEN USING AIRS FOR INTERCALIBRATION OF OPERATIONAL GEOSTATIONARY IMAGERS Mathew M. Gunshor 1*, Kevin Le Morzadec 2, Timothy J. Schmit 3, W. P. Menzel 4, and David Tobin
S3 Product Notice SLSTR
S3 Product Notice SLSTR Mission Sensor Product S3-A SLSTR Level 2 Land Surface Temperature Product Notice ID S3A.PN-SLSTR-L2L.02 Issue/Rev Date 05/07/2017 Version 1.0 Preparation Approval This Product
Evaluation of FLAASH atmospheric correction. Note. Note no SAMBA/10/12. Authors. Øystein Rudjord and Øivind Due Trier
Evaluation of FLAASH atmospheric correction Note Note no Authors SAMBA/10/12 Øystein Rudjord and Øivind Due Trier Date 16 February 2012 Norsk Regnesentral Norsk Regnesentral (Norwegian Computing Center,
Landsat 8, Level 1 Product Performance Cyclic Report November 2016
Landsat 8, Level 1 Product Performance Cyclic Report November 2016 Author(s) : Sébastien Saunier (IDEAS+, Telespazio VEGA) Amy Northrop (IDEAS+, Telespazio VEGA) IDEAS+-VEG-OQC-REP-2647 Issue November
AVHRR 10-day Mosaic Composite Image Data Sets for Asian Region
AVHRR 10-day Mosaic Composite Image Data Sets for Asian Region Ryuzo Yokoyama *, Liping Lei **, Ts. Purevdorj ** * Asian Center for Research on Remote Sensing (ACRoRS),Asian Institute of Technology P.
Validation of significant wave height product from Envisat ASAR using triple collocation
IOP Conference Series: Earth and Environmental Science OPEN ACCESS Validation of significant wave height product from Envisat using triple collocation To cite this article: H Wang et al 014 IOP Conf. Ser.:
Suomi NPP VIIRS Calibration/ Validation Progress Update
Suomi NPP VIIRS Calibration/ Validation Progress Update C. Cao 1, Q. Liu 2, S. Blonski 2, X. Shao 2, and S. Uprety 3 1 NOAA/NESDIS Center for Satellite Applications and Research 2 ESSIC, University of
Integrated Access to NOAA Satellite Observations
ntegrated Access to NOAA Satellite Observations Ted Habermann NOAA National ata Centers This presentation is designed to be viewed as a PPT slide show. Why Not? ata Processing Levels Level 0 Level 3 &
Operational Satellite Missions
Operational Satellite Missions Francois Parisot (EUMETSAT) with contributions from the plenary paper co-authors Slide: 1 Outline 1. What do we mean by an Operational Satellite Missions or by Transition
Multi Sensor Reanalysis (MSR) of total ozone and ozone profiles
Multi Sensor Reanalysis (MSR) of total ozone and ozone profiles Ronald van der A, Marc Allaart, Henk Eskes, Michiel van Weele, Jacob van Peet Royal Netherlands Meteorological Institute (KNMI) Introduction
(A)ATSR Third Reprocessing Dataset User Summary
(A)ATSR Third Reprocessing Dataset User Summary Author(s) : IDEAS+ AATSR QC Team (Telespazio VEGA UK) This document contains key information for users concerning the (A)ATSR Third Reprocessing dataset;
Sea surface temperature observation through clouds by the Advanced Microwave Scanning Radiometer 2
Sea surface temperature observation through clouds by the Advanced Microwave Scanning Radiometer 2 Akira Shibata Remote Sensing Technology Center of Japan (RESTEC) Tsukuba-Mitsui blds. 18F, 1-6-1 Takezono,
MOROCCO EDITION by ASMAE ZBIRI, DOMINIQUE HAESEN and HAMID MAHYOU Using SPIRITS
MOROCCO EDITION by ASMAE ZBIRI, DOMINIQUE HAESEN and HAMID MAHYOU Using SPIRITS Version : 2017 1 I. INTRODUCTION... 3 II. SPIRITS (Software for the Processing and Interpretation of Remotely sensed Image
Landsat 8, Level 1 Product Performance Cyclic Report February 2017
Landsat 8, Level 1 Product Performance Cyclic Report February 2017 Author(s) : Sébastien Saunier (IDEAS+, Telespazio VEGA) Amy Northrop (IDEAS+, Telespazio VEGA) IDEAS+-VEG-OQC-REP-2647 Issue February
Edge Detection with WIM and WAM 1 Introduction. 2 Methods. Edge Detection with WIM and WAM Mati Kahru
Edge Detection with WIM and WAM Mati Kahru 2006-2011 1 Edge Detection with WIM and WAM 1 Introduction The location of fronts in the sea-surface temperature (SST) images provides information on a variety
SMOS mission: a new way for monitoring Sea Surface Salinity?
SMOS mission: a new way for monitoring Sea Surface Salinity? J. Boutin (1) (1) Laboratoire d Oceanographie et du Climat- Expérimentation et Applications Numériques (LOCEAN), PARIS, FRANCE Thanks to T.
Algorithm Development GCOM-W AMSR-2 Ocean Product Suite
Algorithm Development GCOM-W AMSR-2 Ocean Product Suite Joint PI Workshop of Global Environment Observation Mission Otemachi, Tokyo, Japan December 6-9, 2010 Chelle Gentemann Marty Brewer Kyle Hilburn
Changyong Cao 1, Pubu Ciren 2, Mitch Goldberg 1, and Fuzhong Weng 1. Introduction
Intersatellite Calibration of HIRS from 1980 to 2003 Using the Simultaneous Nadir Overpass (SNO) Method for Improved Consistency and Quality of Climate Data Changyong Cao 1, Pubu Ciren 2, Mitch Goldberg
Landsat 8, Level 1 Product Performance Cyclic Report August 2017
Landsat 8, Level 1 Product Performance Cyclic Report August 2017 Author(s) : Sébastien Saunier (IDEAS+, Telespazio VEGA) Amy Beaton (IDEAS+, Telespazio VEGA) IDEAS+-VEG-OQC-REP-2647 Issue August 2017 21
Copernicus Introduction Lisbon, Portugal 13 th & 14 th February 2014
Copernicus Introduction Lisbon, Portugal 13 th & 14 th February 2014 Contents Introduction GMES Copernicus Six thematic areas Infrastructure Space data An introduction to Remote Sensing In-situ data Applications
Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection
Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection Krištof Oštir, Space-SI, Slovenia Contents Natural and technological disasters Current
On the stability of Amazon rainforest backscattering during the ERS-2 Scatterometer mission lifetime
On the stability of Amazon rainforest backscattering during the ERS- Scatterometer mission lifetime R. Crapolicchio (), P. Lecomte () () Serco S.p.A. c/o ESA-ESRIN Via Galileo Galilei 44 Frascati Italy
Multi-sensor data base over desert sites for calibration purpose. P. Henry ¹, X. Briottet ², C. Miesch ², F. Cabot ¹ ¹CNES, ²ONERA
Multi-sensor data base over desert sites for calibration purpose P. Henry ¹, X. Briottet ², C. Miesch ², F. Cabot ¹ ¹CNES, ²ONERA Outline Introduction SADE database Calibration method Some results Desert
Head of the ESA Climate Office. GCOS Science Conference Amsterdam March 2 nd, Current Status of the CCI Programme
Climate Change Initiative Pascal Lecomte Head of the ESA Climate Office GCOS Science Conference Amsterdam March nd, 016 Current Status of the CCI Programme 1 CCI Master Schedule 009 010 011 01 013 014
Use of the Ocean Surface Wind Direction Signal in Microwave Radiance Assimilation
Use of the Ocean Surface Wind Direction Signal in Microwave Radiance Assimilation Masahiro Kazumori* Japan Meteorological Agency Stephen J. English European Centre for Medium Range Weather Forecasts *This
Thomas Meissner, Frank Wentz, Kyle Hilburn Remote Sensing Systems
Thomas Meissner, Frank Wentz, Kyle Hilburn Remote Sensing Systems meissner@remss.com presented at the 8th Aquarius/SAC-D Science Team Meeting November 12-14, 2013 Buenos Aires, Argentina 1. Improved Surface
A Climate Record of Enhanced Spatial Resolution Microwave Radiometer Data
A Climate Record of Enhanced Spatial Resolution Microwave Radiometer Data D. G. Long*, A. Paget*, and M. J. Brodzik * Brigham Young University National Snow and Ice Data Center Earth observing Passive
Bias correction of satellite data at Météo-France
Bias correction of satellite data at Météo-France É. Gérard Contribution from F. Rabier, D. Lacroix, P. Moll, T. Montmerle, P. Poli (CNRM/GMAP), ECMWF ECMWF/EUMETSAT NWP-SAF Workshop on Bias estimation
Intersatellite Calibration of infrared sensors onboard Indian Geostationary Satellites using LEO Hyperspectral Observations
Updates from GSICS members and Observers Indian Space Research Organisation (ISRO) Intersatellite Calibration of infrared sensors onboard Indian Geostationary Satellites using LEO Hyperspectral Observations
Landsat 8, Level 1 Product Performance Cyclic Report January 2017
Landsat 8, Level 1 Product Performance Cyclic Report January 2017 Author(s) : Sébastien Saunier (IDEAS+, Telespazio VEGA) Amy Northrop (IDEAS+, Telespazio VEGA) IDEAS+-VEG-OQC-REP-2647 Issue January 2017
French National report on Argo 2012 Present status and future plans
French National report on Argo 2012 Present status and future plans March 2013 V. Thierry, S. Pouliquen, E. Mamaca, C. Coatanoan, S. Le Reste, C. Cabanes LPO-Report N 13/02 1. Background, organization
AIRS Version 4 Data. International TOVS Study Conference XIV Beijing, China May California Institute of Technology Jet Propulsion Laboratory
AIRS Version 4 Data International TOVS Study Conference XIV Beijing, China May 2005 Sung-Yung Lee, H. H. Aumann,, Bjorn Lambrigtsen, Evan Manning, Edward Olsen, Tom Pagano Summary AIRS Version 4 software
GFDS water surface metrics: methodology
Introduction Floods are difficult to monitor on a global scale, because they are determined by local factors such as precipitation, slope of the terrain, drainage of the river, protection devices in place,
Correction of Satellite-Derived DNI Time Series Using Locally-Resolved Aerosol Data
Correction of Satellite-Derived DNI Time Series Using Locally-Resolved Aerosol Data Tomas Cebecauer, PhD Marcel Suri PhD GeoModel Solar Bratislava, Slovakia http://geomodelsolar.eu Conference SolarPACES
LANDSAT 8 Level 1 Product Performance
Réf: IDEAS-TN-10-CyclicReport LANDSAT 8 Level 1 Product Performance Cyclic Report Month/Year: May 2015 Date: 25/05/2015 Issue/Rev:1/0 1. Scope of this document On May 30, 2013, data from the Landsat 8
GPS TEC Measurements Utilized for Monitoring Recent Space Weather Events and Effects in Europe
GPS TEC Measurements Utilized for Monitoring Recent Space Weather Events and Effects in Europe S. M. Stankov (1), N. Jakowski (2), B. Huck (3) (1) German Aerospace Center (DLR) Institute of Communications
FY-3 Data Quality and Assimilation in NWP
FY-3 Data Quality and Assimilation in NWP Qifeng Lu, William Bell*, Zhongdong Yang, Chengli Qi, Ran You, Songyan Gu, Hu Yang, Peng Zhang, Chaohua Dong National Satellite Meteorological Center, CMA, Beijing
Space/time SSS variability and the quantification of regional inter-beam biases
Space/time SSS variability and the quantification of regional inter-beam biases Aquarius Calibration/Validation Workshop RSS, Santa Rosa, CA 26-28 March 2012 Oleg Melnichenko Peter Hacker Nikolai Maximenko
CDAAC Ionospheric Products
CDAAC Ionospheric Products Stig Syndergaard COSMIC Project Office COSMIC retreat, Oct 13 14, 5 COSMIC Ionospheric Measurements GPS receiver: { Total Electron Content (TEC) to all GPS satellites in view
Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning
Lecture 6: Multispectral Earth Resource Satellites The University at Albany Fall 2018 Geography and Planning Outline SPOT program and other moderate resolution systems High resolution satellite systems
A New Lossless Compression Algorithm For Satellite Earth Science Multi-Spectral Imagers
A New Lossless Compression Algorithm For Satellite Earth Science Multi-Spectral Imagers Irina Gladkova a and Srikanth Gottipati a and Michael Grossberg a a CCNY, NOAA/CREST, 138th Street and Convent Avenue,
The coastal challenge. Dr Samantha Lavender
The coastal challenge Dr Samantha Lavender SEOES & Marine Institute, University of Plymouth ARGANS Limited Tamar Science Park, Plymouth s.lavender@plymouth.ac.uk samantha.lavender@argans.co.uk http://www.research.plymouth.ac.uk/geomatics/
Geodetic Reference Frame Theory
Technical Seminar Reference Frame in Practice, Geodetic Reference Frame Theory and the practical benefits of data sharing Geoffrey Blewitt University of Nevada, Reno, USA http://geodesy.unr.edu Sponsors:
Copernicus S3 Product Notice Altimetry
Copernicus S3 Product Notice Altimetry Mission Sensor Product S3 SRAL / MWR LAND L2 NRT, STC and NTC Product Notice ID S3A.PN-STM-L2L.08 Issue/Rev Date 14-Feb-2019 20-Mar-2019 Version 1.1 Preparation This
MICROSCOPE Mission operational concept
MICROSCOPE Mission operational concept PY. GUIDOTTI (CNES, Microscope System Manager) January 30 th, 2013 1 Contents 1. Major points of the operational system 2. Operational loop 3. Orbit determination
Aquarius/SAC-D Mission Mission Simulators - Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010
Aquarius/SAC-D Mission Mission Simulators - Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA Mission Design and Sampling Strategy Sun-synchronous exact repeat orbit 6pm ascending node Altitude 657
Towards the Intercalibration of EO medium resolution multi-spectral imagers : MEREMSII Final Report Executive Summary
Page : i Towards the Intercalibration of EO medium resolution multi-spectral imagers MEREMSII FINAL REPORT EXECUTIVE SUMMARY ESA contract: 4000101605/10/NL/CBi ARGANS Reference: 003-009 Date: 14 January
Remote Sensing. The following figure is grey scale display of SPOT Panchromatic without stretching.
Remote Sensing Objectives This unit will briefly explain display of remote sensing image, geometric correction, spatial enhancement, spectral enhancement and classification of remote sensing image. At
A SYNERGETIC USE OF REMOTE-SENSED DATA TO ASSESS THE EVOLUTION OF BURNT AREA BY WILDFIRES IN PORTUGAL
A SYNERGETIC USE OF REMOTE-SENSED DATA TO ASSESS THE EVOLUTION OF BURNT AREA BY WILDFIRES IN PORTUGAL Teresa J. Calado and Carlos C. DaCamara CGUL, Faculty of Sciences, University of Lisbon, Campo Grande,
Mercator Ocean, France
Mercator Ocean, France 4-6 July 2018 Toulouse, France Development of information services: example from the Copernicus Marine Environment Monitoring Service (CMEMS) P.Y. Le Traon Mercator Ocean with Mercator
Bias estimation and correction for satellite data assimilation
Bias estimation and correction for satellite data assimilation Tony McNally ECMWF T.Auligne, D.Dee, G.Kelly, R.Engelen, A. Dethof, G. Van der Grijn Outline of presentation Three basic questions. What biases
An intercomparison of SMAP, SMOS, AMSR2, FY3B and ESA CCI soil moisture products at different spatial scales over two dense network regions
An intercomparison of SMAP, SMOS, AMSR2, FY3B and ESA CCI soil moisture products at different spatial scales over two dense network regions Jiangyuan Zeng 1, Kun-Shan Chen 1, Chenyang Cui 2, Haiyun Bi
2010 International Ocean Vector Winds Meeting Barcelona, Spain, May A NASA Perspective: Present Status and Moving Forward
2010 International Ocean Vector Winds Meeting Barcelona, Spain, 18-20 May 2010 A NASA Perspective: Present Status and Moving Forward Peter Hacker and Eric Lindstrom NASA Science Mission Directorate Earth
Position Tracking in Urban Environments using Linear Constraints and Bias Pseudo Measurements
Position Tracking in Urban Environments using Linear Constraints and Bias Pseudo Measurements Julia Niewiejska, Felix Govaers, Nils Aschenbruck University of Bonn -Institute of Computer Science 4 Roemerstr.
Assessment of SARAL/AltiKa Wave Height Measurements Relative to Buoy, Jason-2, and Cryosat-2 Data
September, Volume Issue Suppl. Pages - http://dx.doi.org/0.00/00..0000 http://archimer.ifremer.fr/doc/00// Taylor & Francis Group, LLC Achimer http://archimer.ifremer.fr Assessment of SARAL/AltiKa Wave
MONITORING OF FOREST DAMAGE CAUSED BY GYPSY MOTH IN HUNGARY USING ENVISAT MERIS DATA ( )
MONITORING OF FOREST DAMAGE CAUSED BY GYPSY MOTH IN HUNGARY USING ENVISAT DATA (2005-2006) G. Nádor, I. László, Zs. Suba, G. Csornai Remote Sensing Centre, Institute of Geodesy Cartography and Remote Sensing
S3 Product Notice Altimetry
S3 Product Notice Altimetry Mission Sensor Product S3-A SRAL / MWR LAND L2 NRT, STC and NTC Product Notice ID Issue/Rev Date Version 1.0 Preparation S3A.PN-STM-L2L.04 13-Dec-2017 This Product Notice was
Image interpretation and analysis
Image interpretation and analysis Grundlagen Fernerkundung, Geo 123.1, FS 2014 Lecture 7a Rogier de Jong Michael Schaepman Why are snow, foam, and clouds white? Why are snow, foam, and clouds white? Today
Radiometric Validation of Sentinel-3
Radiometric Validation of Sentinel-3 by Kevin Ruddick, Dimitry Van Der Zande and Quinten Vanhellemont (RBINS, ODNature, REMSEM) Sentinel-2 Radiometric Validation of Sentinel-3 by Kevin Ruddick, Dimitry
PLANET SURFACE REFLECTANCE PRODUCT
PLANET SURFACE REFLECTANCE PRODUCT FEBRUARY 2018 SUPPORT@PLANET.COM PLANET.COM VERSION 1.0 TABLE OF CONTENTS 3 Product Description 3 Atmospheric Correction Methodology 5 Product Limitations 6 Product Assessment
New Spectral Compensation Method for Intercalibration Using High Spectral Resolution Sounder
New Spectral Compensation Method for Intercalibration Using High Spectral Resolution Sounder TAHARA Yoshihiko* and KATO Koji* Abstract For intercalibration between a broadband channel like an imager channel
Daily and seasonal variations of TID parameters over the Antarctic Peninsula
Daily and seasonal variations of TID parameters over the Antarctic Peninsula A. Zalizovski 1, Y. Yampolski 1, V. Paznukhov 2, E. Mishin 3, A. Sopin 1 1. Institute of Radio Astronomy, National Academy of
ASSESSMENT BY ESA OF GCOS CLIMATE MONITORING PRINCIPLES FOR GMES
Prepared by ESA Agenda Item: III.5 Discussed in WG3 ASSESSMENT BY ESA OF GCOS CLIMATE MONITORING PRINCIPLES FOR GMES The ESA Sentinel missions are being designed for the GMES services, with special emphasis
GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L04605, doi: /2008gl036873, 2009
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L04605, doi:10.1029/2008gl036873, 2009 Combining remote sensing data and an inundation model to map tidal mudflat regions and improve
Intercomparison of Total Precipitable Water Measurements Made by Satellite-Borne Microwave Radiometers and Ground-Based GPS Instruments
1 2 3 4 Intercomparison of Total Precipitable Water Measurements Made by Satellite-Borne Microwave Radiometers and Ground-Based GPS Instruments Carl A. Mears 1, Junhong Wang 2, Deborah K. Smith 1, Frank
MUSCATE : Operational Production Atmospheric
MUSCATE : Operational Production Atmospheric Corrections and Monthly Composites Sentinel-2 Marc Leroy 1, Olivier Hagolle 2, Mireille Huc 2, Mohamed Kadiri 2, Gérard Dedieu 2, Joëlle Donadieu 1, Philippe
SEA SURFACE TEMPERATURE RETRIEVAL USING TRMM MICROWAVE IMAGER DATA IN SOUTH CHINA SEA
SEA SURFACE TEMPERATURE RETRIEVAL USING TRMM MICROWAVE IMAGER DATA IN SOUTH CHINA SEA Mohd Ibrahim Seeni Mohd and Mohd Nadzri Md. Reba Faculty of Geoinformation Science and Engineering Universiti Teknologi
RN simulations for validation of transport and vertical diffusion in TM5 model
222 RN simulations for validation of transport and vertical diffusion in TM5 model Maria Gabriella Villani 1 Peter Bergamaschi 1 Jan Fokke Meirink 2 Maarten Krol 2,3 Frank Dentener 1 [1] European Commission
First MyOcean User Workshop 7-8 April 2011, Stockholm Main outcomes
First MyOcean User Workshop 7-8 April 2011, Stockholm Main outcomes May, 9th 2011 1. Objectives of the MyOcean User Workshop The 1 st MyOcean User Workshop took place on 7-8 April 2011, about two years
Light penetration within a clear water body. E z = E 0 e -kz
THE BLUE PLANET 1 2 Light penetration within a clear water body E z = E 0 e -kz 3 4 5 Pure Seawater Phytoplankton b w 10-2 m -1 b w 10-2 m -1 b w, Morel (1974) a w, Pope and Fry (1997) b chl,loisel and
Marine. Status of the Copernicus Marine service with MyOcean2. Pierre Bahurel, Mercator Ocean FP7 MyOcean2 coordinator
Marine Status of the Copernicus Marine service with MyOcean2 Pierre Bahurel, Mercator Ocean FP7 MyOcean2 coordinator Geneva, 16/01/2014 http:// (1) Status of the Copernicus Marine service demonstrated
Project summary. Key findings, Winter: Key findings, Spring:
Summary report: Assessing Rusty Blackbird habitat suitability on wintering grounds and during spring migration using a large citizen-science dataset Brian S. Evans Smithsonian Migratory Bird Center October
Let it snow -operational snow cover product from Sentinel-2
Let it snow -operational snow cover product from Sentinel-2 and Landsat-8 data Manuel Grizonnet CNES Toulouse, France Co-authors: S. GASCOIN (CNRS), O. HAGOLLE, C. L HELGUEN, T. KLEMPKA Let It Snow in
Ocean SAR altimetry. from SIRAL2 on CryoSat2 to Poseidon-4 on Jason-CS
Ocean SAR altimetry from SIRAL2 on CryoSat2 to Poseidon-4 on Jason-CS Template reference : 100181670S-EN L. Phalippou, F. Demeestere SAR Altimetry EGM NOC, Southampton, 26 June 2013 History of SAR altimetry
The availability of cloud free Landsat TM and ETM+ land observations and implications for global Landsat data production
14475 The availability of cloud free Landsat TM and ETM+ land observations and implications for global Landsat data production *V. Kovalskyy, D. Roy (South Dakota State University) SUMMARY The NASA funded
Space weather Application Center Ionosphere A Near-Real-Time Service Based on NTRIP Technology
Space weather Application Center Ionosphere A Near-Real-Time Service Based on NTRIP Technology N. Jakowski, S. M. Stankov, D. Klaehn, C. Becker German Aerospace Center (DLR), Institute of Communications
Improving Sea Level Record in Arctic using Envisat Altimeter Measurements
Improving Sea Level Record in Arctic using Envisat Altimeter Measurements P. Thibaut, JC. Poisson, D. Hoang Collecte Localisation Satellite, Toulouse, France, pthibaut@cls.fr G. Quartly, A. Kurekin Plymouth
Baltic Marine Environment Protection Commission
Baltic Marine Environment Protection Commission Heads of Delegation Helsinki, Finland, 14-15 June 2018 HOD 54-2018 Document title Revised proposal for a regional monitoring sub-program of continuous noise
Assimilation Ionosphere Model
Assimilation Ionosphere Model Robert W. Schunk Space Environment Corporation 399 North Main, Suite 325 Logan, UT 84321 phone: (435) 752-6567 fax: (435) 752-6687 email: schunk@spacenv.com Award #: N00014-98-C-0085