SMOS-BEC – Barcelona (Spain) CP34/BEC L3-L4 maps internal production chain BEC team SMOS Barcelona Expert Centre Pg. Marítim de la Barceloneta 37-49, Barcelona.

Slides:

Advertisements

Similar presentations

Titelmasterformat durch Klicken bearbeiten ESA-CCI Sea Ice ECV Stefan Kern*, et al. *) University of Hamburg. CliSAP, ICDC.

Advertisements

F. Wentz, T. Meissner, J. Scott and K. Hilburn Remote Sensing Systems 2014 Aquarius / SAC-D Science Team Meeting November ,

Page 1GlobColour CDR Meeting – July 10-11, 2006, ESRIN All rights reserved © 2006, ACRI-ST Resulting Technical Specification.

OSE meeting GODAE, Toulouse 4-5 June 2009 Interest of assimilating future Sea Surface Salinity measurements.

OBJECTIVES Evaporation, precipitation and atmospheric heating ‘communicate’ SSTA to the atmosphere, driving changes in temperature, precipitation and.

SMOS Ocean Salinity Retrieval Level 3 Marco Talone, Jérôme Gourrion, Joaquim Ballabrera, Marcos Portabella, and the SMOS Barcelona Expert Centre (SMOS-BEC)

Dynamical Downscaling of surface wind circulations in the Northeast of the Iberian Peninsula Pedro A. Jiménez (UCM-CIEMAT) J. Fidel González-Rouco (UCM)

Aquarius Status Salinity Retrieval and Applications D. M. Le Vine NASA/GSFC, Greenbelt, MD E. P. Dinnat, G. Lagerloef, P. de Matthaeis, H. Kao, F.

1 High resolution SST products for 2001 Satellite SST products and coverage In situ observations, coverage Quality control procedures Satellite error statistics.

Development of Quality Monitoring System on satellite Sea Surface Salinity Products Yongsheng Zhang NESDIS/NODC – UMD College Park/ESSIC/CICS.

Kick-Off Seadatanet – Heraklion – 7-11 June Atlantic and global products C. Coatanoan, F. Gaillard, E. Autret, T. Loubrieu.

SMOS L2 Ocean Salinity – PM#25 1/20 Level 2 Ocean Salinity May 2013 v600 status v610 planning & schedule Slim-line UDP & improved.

AGU 2004 Fall Meeting, May 19, 2015Slide 1 Jointly Retrieving Surface Soil Moisture from Active and Passive Microwave Observations using Cubist Data-Mining.

DTM Generation From Analogue Maps By Varshosaz. 2 Using cartographic data sources Data digitised mainly from contour maps Digitising contours leads to.

Medspiration user meeting, dec 4-6 Use of Medspiration and GHRSST data in the Northern Seas Jacob L. Høyer & Søren Andersen Center for Ocean and Ice, Danish.

Green Vegetation Fraction (GVF) derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the SNPP satellite Zhangyan Jiang 1,2,

Contributions by C. A. Edwards & C.V. Lewis CIMT Meeting June 5-6, 2006 Emphasize Integration of CIMT data 2 Parts –Visualization –Ecosystem component.

Aquarius/SAC-D Mission Validation Working Group Summary Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.

SMOS L2 Ocean Salinity Level 2 Ocean Salinity status 4 February 2013 ARGANS.

Ifremer Planning of Cal/Val Activities during In orbit commisioning Phase N. Reul, J. Tenerelli, S. Brachet, F. Paul & F. Gaillard, ESL & GLOSCAL teams.

SMOS Validation Rehearsal Campaign Workshop, 18-19/11/2008, Noordwijkerhout, The Netherlands SMOS Validation Rehearsal Campaign Mediterranean flights C.

SMOS L2 Ocean Salinity – PM#25 1/20 Level 2 Ocean Salinity May 2013 OTT post-processor.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 POES-GOES Blended SST Analysis.

SMOS QWG-5, 30 May- 1 June 2011, ESRIN Ocean Salinity 1 1.Commissioning reprocessing analysis 2.New processor version: improvements and problems detected/solved.

Progress Meeting #27, April 2015, Barcelona SPAIN T3.2 Retrieval algorithm Estrella Olmedo BEC team SMOS Barcelona Expert Centre Pg. Marítim de la.

Status and perspectives of the T O P A Z system An EC FP V project, Dec 2000-Nov 2003

Tools Developed For AVHRR Data Production and Analysis The AVHRR modular framework can produce three output datasets in NetCDF format when AVHRR NetCDF.

MODIS Sea-Surface Temperatures for GHRSST-PP Robert H. Evans & Peter J. Minnett Otis Brown, Erica Key, Goshka Szczodrak, Kay Kilpatrick, Warner Baringer,

Welcome to ICM !. 4 departments Marine Biology and Oceanography Marine Geology Physical Oceanography Renewable Marine Resources 84 members 44 members.

Sea Ice Modelling and Data Assimilation at CIS Tom Carrieres.

Satellite Sea-surface Salinity: Data and Product Biases and Differences Eric Bayler and Li Ren NOAA/NESDIS Center for Satellite Applications and Research.

A. Montuori 1, M. Portabella 2, S. Guimbard 2, C. Gabarrò 2, M. Migliaccio 1 1 Dipartimento per le Tecnologie (DiT), University of Naples Parthenope, Italy.

SMOS QWG-11, ESRIN 4-5 July 2013 L2OS v600 status and evolution 1 The SMOS L2 OS Team.

SMOS L2 Ocean Salinity Level 2 Ocean Salinity Status 9 February 2015 ARGANS & SMOS L2OS ESL 1.

SMOS L2 Ocean Salinity Level 2 Ocean Salinity L2OS planning 2 July 2014 ARGANS & SMOS L2OS ESL 1.

1 / 13 Current activities at ICM-SMOS-BEC J. Gourrion, C. Gabarró, R. Sabia, M. Talone, V. González, S. Montero, S. Guimbard, F. Pérez, J. Martínez, M.

General Objective: Conduct R&D activities to improve the quality of SST products used by MERSEA modeling and assimilation centers and produce global, Atlantic.

OS-ESL meeting, Barcelona, February nd, 2011 OTT sensitivity study and Sun correction impact J. Gourrion and the SMOS-BEC team SMOS-BEC, ICM/CSIC.

EXTENDING THE LAND SEA CONTAMINATION CHARACTERIZATION TO THE EXTENDED ALIAS- FREE FIELD OF VIEW Joe Tenerelli (CLS) and Nicolas Reul (IFREMER) SMOS Quality.

MODIS OCEAN QA Browse Imagery (MQABI Browse Tool) NASA Goddard Space Flight Center Sept 4, 2003

SMOS-BEC – Barcelona (Spain) Revealing Geophysically-Consistent Spatial Structures in SMOS Surface Salinity Derived Maps Marcos Portabella, Estrella Olmedo,

2nd GODAE Observing System Evaluation Workshop - June Ocean state estimates from the observations Contributions and complementarities of Argo,

SMOS QWG-6, ESRIN October 2011 OTT generation strategy and associated issues 1 The SMOS L2 OS Team.

Aristeidis K. Georgoulias Contribution of Democritus University of Thrace-DUTH in AMFIC-Project Democritus University of Thrace Laboratory of Atmospheric.

SMOS L2 Ocean Salinity Level 2 Ocean Salinity v63x product design evolution 22 April 2015 ARGANS & SMOS L2OS ESL 1.

Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison ABI and AIRS Retrievals in McIDAS-V Kaba Bah.

SMOS-BEC – Barcelona (Spain) LO calibration frequency impact Part II C. Gabarró, J. Martínez, V. González, A. Turiel & BEC team SMOS Barcelona Expert Centre.

Cal/Val Discussion. Summary No large errors in rain, freshening observed by Aquarius can be significant and real (up to about 3 hours on average after.

SMOS-BEC – Barcelona (Spain) Assessment of impact of new ECMWF cycle 38r2 BEC team SMOS Barcelona Expert Centre Pg. Marítim de la Barceloneta 37-49, Barcelona.

QWG-10 ESRIN 4-6 February 2013 Quality control study for SMOS data / Flags analysis C. Gabarró, J. Martínez, E. Olmedo M. Portabella, J. Font and BEC team.

ICM/UTM - CSIC Hymex activities Joaquim Ballabrera Jordi Font Jordi Salat Marta Umbert.

SMOS QWG-9, ESRIN October 2012 L2OS: Product performance summary v550 highlights 1 The SMOS L2 OS Team.

Elementary Mechanics of Fluids Lab # 3 FLOW VISUALIZATION.

A high-resolution Aquarius OI SSS L4 analysis: 3-year, near-global, weekly, 0.5 degree grid Oleg Melnichenko, Peter Hacker, Nikolai Maximenko, and James.

A Temporal Filtering Algorithm to Reconstruct Daily Albedo Series Based on GLASS Albedo product Nanfeng Liu 1,2, Qiang Liu 1,2, Lizhao Wang 2, Jianguang.

0 0 Robert Wolfe NASA GSFC, Greenbelt, MD GSFC Hydrospheric and Biospheric Sciences Laboratory, Terrestrial Information System Branch (614.5) Carbon Cycle.

Assimilating Satellite Sea-Surface Salinity in NOAA Eric Bayler, NESDIS/STAR Dave Behringer, NWS/NCEP/EMC Avichal Mehra, NWS/NCEP/EMC Sudhir Nadiga, IMSG.

SMOS-BEC – Barcelona (Spain) Variable LO freq. Cal. analysis LO at 2min from to BEC team SMOS Barcelona Expert Centre Pg. Marítim de.

Marine Core Service MY OCEAN For Marie: A compilation of some “nice-coloured” slides on IBI Validation I Workshop Técnico de Usuarios Españoles del Servicio.

General Objective: Conduct R&D activities to improve the quality of SST products used by MERSEA modeling and assimilation centers and produce global, Atlantic.

QWG-10 – 4-6 February 2013 – ESRIN (Italy) SMOS Level3 and Level 4 Research Products Provided by the Barcelona Expert Center Jordi Font and BEC team SMOS.

Impact of sea surface roughness on SMOS measurements A new empirical model S. Guimbard & SMOS-BEC Team SMOS Barcelona Expert Centre Pg. Marítim de la Barceloneta.

Errors on SMOS retrieved SSS and their dependency to a priori wind speed X. Yin 1, J. Boutin 1, J. Vergely 2, P. Spurgeon 3, and F. Gaillard 4 1. LOCEAN.

MODIS Atmosphere Products: The Importance of Record Quality and Length in Quantifying Trends and Correlations S. Platnick 1, N. Amarasinghe 1,2, P. Hubanks.

AQUA AMSR-E MODIS POES AVHRR TRMM TMI ENVISAT AATSR Multi-satellite, multi-sensor data fusion: global daily 9 km SSTs from MODIS, AMSR-E, and TMI

Martin Rutherford Technical Director Oceanography and Meteorology Royal Australian Navy 02 Jun 2009 Towards a Bias Corrected L4 Median.

Ocean Salinity Science 2014, 26–28 November, Exeter (UK) J. Ballabrera, N. Hoareau, M. Portabella, E. Garcia-Ladona, A. Turiel SMOS Barcelona Expert Centre.

Validating SMAP SSS with in situ measurements

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

INSTITUTE OF MARINE SCIENCES (Barcelona)

Presentation transcript:

SMOS-BEC – Barcelona (Spain) CP34/BEC L3-L4 maps internal production chain BEC team SMOS Barcelona Expert Centre Pg. Marítim de la Barceloneta 37-49, Barcelona SPAIN URL:

SMOS QWG-7, ESRIN 31-January – 1 February 2012 BEC L1 MTS BEC L1 MTS BEC L3-L4 Products Server OS ISEA 4H9 Ave. period 10 d Freq: 3 days ISEA 4H8 Ave. period 3 d Freq: 3 days Optima Interpol. 1 o x1 o Average 30 d Freq: 10 days L2 - DPGS 1 o x1 o Ave. period 10 d Freq: 3 days Optima Interpol. 1 o x1 o Average 10 d Freq: 3 days BEC L2 CLIMA TOLOGY L4 ??¿? SST users.cmima.csic.es WORK IN PROGRESS COMING SOON 2

SMOS QWG-7, ESRIN 31-January – 1 February 2012 BEC PRODUCTION SCHEMA OS L2 - DPGS L2 - FILTER RFI, wind, ice, Poor Retrieval, Poor Geophysical #L1c measures (|Xswath| < 400 km) #valid L1C measures (50%) RFI, wind, ice, Poor Retrieval, Poor Geophysical #L1c measures (|Xswath| < 400 km) #valid L1C measures (50%) L2 BINNING 4H9 L2 BINNING 4H9 L2 BINNING 1x1 degrees L3 - OI 1x1 degrees ARGO L4 ARGO Analysis STATISTICS - QUALITY CONTROL STATISTICS - QUALITY CONTROL Reference statistics tarod.cmima.csic.es automatized manual (now) netCDF published netCDF published 3

SMOS QWG-7, ESRIN 31-January – 1 February 2012 BEC L3-L4 Products Server SM ISEA 4H9 Ave. period 3 d Freq: daily ISEA 4H9 Ave. period 10 d Freq: daily ISEA 4H9 Average 30 d Freq: monthly L2 - DPGS 1Kmx1Km Iberian Peninsula Freq: daily L1 - DPGS BEC L1 MTS BEC L1 MTS 1 km MODIS LST & NDVI COMING SOON LST NDVI 4

SMOS QWG-7, ESRIN 31-January – 1 February 2012 SMOS SM L4 products 40 km SMOS SM [m 3 /m 3 ] used as reference field 40 km SMOS TBH [K] at 42.5° 1 km daily MODIS LST [K] (not cloud free!!) 1 km 16-day MODIS NDVI 1 km SMOS SM [m 3 /m 3 ] A downscaling algorithm to get 1 km SM from SMOS and MODIS observations has been developed. Validation of experimental data is underway. 5

SMOS QWG-7, ESRIN 31-January – 1 February netCDF files netCDF files Transects Temporal evolution Animations MAP VISUALIZATION TOOLS BEC L3-L4 Products Server 6

SMOS QWG-7, ESRIN 31-January – 1 February 2012 EXAMPLES OF PRODUCTS CP34 -> June-October 2011 / 0.5 o / averaging every 10 days / 1 frame every 3 days 7

SMOS QWG-7, ESRIN 31-January – 1 February 2012 New 8 New SMOS OS L3 maps Optimally interpolated salinity maps generated at BEC from DPGS operational L2 products 10 days, 1 o x1 o, updated every 3 days

SMOS QWG-7, ESRIN 31-January – 1 February 2012 A new image processing technique allows to calculate singularity exponents with great accuracy. Singularity exponents are related to the flow dynamics: they trace streamlines. MW SST SMOS OS L4 products 9

SMOS QWG-7, ESRIN 31-January – 1 February 2012 A new image processing technique allows to calculate singularity exponents with great accuracy. Singularity exponents are related to the flow dynamics: they trace streamlines. Hence, singularity exponents are the same for any scalar. The analysis of the output of different numerical simulations confirm that SST and SSS have the same exponents (synergic effect) This implies that locally there is a linear relation between SSS and SST  SST can be used as template to remove noise SMOS L4 products 10

SMOS QWG-7, ESRIN 31-January – 1 February 2012 SSSSSTSSS SST images can hence be used to improve spatial correlations. Preliminary study shows improvement; ongoing work SMOS L4 products 11