RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 MWR Calibration & Validation status MWR Cal/Val team: Ngan Tran, Estelle Obligis, Laurence Eymard, Michel.

Slides:



Advertisements
Similar presentations
Rossana Dragani Using and evaluating PROMOTE services at ECMWF PROMOTE User Meeting Nice, 16 March 2009.
Advertisements

2. The WAM Model: Solves energy balance equation, including Snonlin
Ewan OConnor, Robin Hogan, Anthony Illingworth, Nicolas Gaussiat Liquid water path from microwave radiometers.
(Very) Preliminary Quality Assessment of Stratospheric AMSU Channels (Channels 9 – 14) Carl Mears Remote Sensing Systems.
Stratospheric Measurements: Microwave Sounders I. Current Methods – MSU4/AMSU9 Diurnal Adjustment Merging II. Problems and Limitations III. Other AMSU.
OVERVIEW OF THE IMPROVEMENTS MADE ON THE EMPIRICAL DETERMINATION OF THE SEA STATE BIAS CORRECTION S. Labroue, P. Gaspar, J. Dorandeu, F. Mertz, N. Tran,
Calibration Method of Microwave Tb for Retrieving Accurate SST Akira Shibata JAXA / EORC Advances of Satellite Oceanography at Vladivostok, Oct. 3-6, 2007.
Page 1 ASAR Validatoin Review - ESRIN – 9-13 December 2002 Ocean geophysical results from ASAR  Geophysical overview  ocean spectra : the isidore case.
RA-2 & MWR QWG meeting – ESA/ESRIN – 24 March, 2003 Envisat RA-2 and MWR Events since October 2002 Pierre Féménias ESA/ESRIN.
ENVISAT RA-2/MWR CCVT Plenary Meeting – 25-27/03/2003 ERS-2 RA/MWR status Pierre Féménias ESA/ESRIN.
RA-2 S-BAND ANOMALY: DETECTION AND WAVEFORMS RECONSTRUCTION A. MARTINI (1), P. FEMENIAS RA-2 S-BAND ANOMALY: DETECTION AND WAVEFORMS RECONSTRUCTION A.
3rd Plenary MeetingRA-2/MWR Cross-Cal & Val Team, ESRIN 12/09/01 Third Plenary ENVISAT RADAR ALTIMETRY CROSS-CALIBRATION and VALIDATION TEAM Meeting Jérôme.
6th Plenary Meeting (#17)RA-2/MWR Cross-Cal & Val Team, ESRIN 25-27/03/03 Sixth Plenary ENVISAT RADAR ALTIMETRY CROSS-CALIBRATION and VALIDATION TEAM Meeting.
Page - 1 RA2 CCVT meeting March 2003 F-PAC validation context CMA chain has to be inline with the algorithms approved by ESA and used for the prototype.
8th EnviSat Calibration and Validation Progress Meeting ESRIN, 05/12/01 1 RA-2/MWR Level 2 algorithms verification and products validation group status.
1 Verification of wave forecast models Martin Holt Jim Gunson Damian Holmes-Bell.
Draft Recommendations subtitle here. Recommendation 1 The study groups from this workshop continue to collaborate with the goal of reporting progress.
26/11/2012 – Observatoire de Paris Analysis of wind speed evolution over ocean derived from altimeter missions and models M. Ablain (CLS)
1 Analysis of Airborne Microwave Polarimetric Radiometer Measurements in the Presence of Dynamic Platform Attitude Errors Jean Yves Kabore Central Florida.
Cold Sky Calibration Aquarius: D. M. Le Vine MWR: J. C. Gallo.
Xin Kong, Lizzie Noyes, Gary Corlett, John Remedios, Simon Good and David Llewellyn-Jones Earth Observation Science, Space Research Centre, University.
MWR Algorithms (Wentz): Provide and validate wind, rain and sea ice [TBD] retrieval algorithms for MWR data Between now and launch (April 2011) 1. In-orbit.
A new prototype AMSR-E SWE operational algorithm M. Tedesco The City College of New York, CUNY, NYC With contributions from : Chris Derksen, Jouni Pulliainen,
OSTST, Hobart, March Future altimeter systems : is mesoscale observability guaranteed for operational oceanography? Future altimeter systems.
Coastal Altimetry Workshop - February 5-7, 2008 CNES initiative for altimeter processing in coastal zone : PISTACH Juliette Lambin – Alix Lombard Nicolas.
Yimin Ji - Page 1 October 5, 2010 Global Precipitation Measurement (GPM) mission Precipitation Processing System (PPS) Yimin Ji NASA/GSFC,
1 Detection and Determination of Channel Frequency Shift in AMSU-A Observations Cheng-Zhi Zou and Wenhui Wang IGARSS 2011, Vancouver, Canada, July 24-28,
Princeton University Development of Improved Forward Models for Retrievals of Snow Properties Eric. F. Wood, Princeton University Dennis. P. Lettenmaier,
Aquarius Algorithm Workshop March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research.
SMOS+ STORM Evolution Kick-off Meeting, 2 April 2014 SOLab work description Zabolotskikh E., Kudryavtsev V.
Calibration and Validation Studies for Aquarius Salinity Retrieval PI: Shannon Brown Co-Is: Shailen Desai and Anthony Scodary Jet Propulsion Laboratory,
Development of AMSU-A Fundamental CDR’s Huan Meng 1, Wenze Yang 2, Ralph Ferraro 1 1 NOAA/NESDIS/STAR/CoRP/Satellite Climate Studies Branch 2 NOAA Corporate.
OSTST Hobart 2007 – Performance assessment Jason-1 data M.Ablain, S.Philipps, J.Dorandeu, - CLS N.Picot - CNES Jason-1 GDR data Performance assessment.
OSTST, March 12-15, 2007 – 1 Charles Desportes (CLS)& Estelle Obligis (CLS), Laurence Eymard (LOCEAN) On the Wet Tropospheric Correction for Altimetry.
Page 1ENVISAT Validation Review / GOMOS session - ESRIN – 13th December 2002 ENVISAT VALIDATION WORKSHOP GOMOS Recommendations by the ESL team : Service.
Ocean Surface Topography Calibration and Performance Assessment of the JMR and TMR Shannon Brown, Shailen Desai, Wenwen Lu NASA Jet Propulsion Laboratory.
SMOS QWG-6, ESRIN October 2011 OTT generation strategy and associated issues 1 The SMOS L2 OS Team.
Intercomparison of GlobVapour total column water vapour (TCWV) and Envisat RA2-MWR measurements (preliminary results) Bruno Picard (CLS), Jean-Rémi Deboer.
Design Features of a Boresighted GPM Core Radiometer Christopher S. Ruf Dept. of Atmospheric, Oceanic & Space Sciences University of Michigan, Ann Arbor,
INSTRUMENT STATUS AND PERFORMANCE Guido Levrini. Page 2 ENVISAT Validation Workshop - ESRIN - 9–13 December 2002 ASAR F Instrument operability issues.
Page 1 Validation Workshop, 9-13 th December 2002, ESRIN ENVISAT Validation Workshop AATSR Report Marianne Edwards Space Research Centre Department of.
March 8, 2005 Calibration and Operation of the Stepped Frequency Microwave Radiometer during the 2005 Hurricane Season Ivan PopStefanija
Analysis of Nonlinearity Correction for CrIS SDR April 25, 2012 Chunming Wang NGAS Comparisons Between V32 and V33 Engineering Packets.
Mission Operations Review February 8-10, 2010 Cordoba, ARGENTINA SECTION 16.x Aquarius Science Commissioning and Acceptance Draft 2 Prepared by: Gary Lagerloef,
Jason-1/Envisat cross-calibration Y. Faugere (CLS) J. Dorandeu (CLS) N. Picot (CNES) P. Femenias (ESA) Jason-1 / Envisat Cross-calibration.
Sciavalig – 6-8/12/2004 Status of the Atmospheric Chemistry Instruments onboard Envisat SCIAVALIG 6–8 December 2004 Rob Koopman Angelika Dehn Lidia Saavedra.
Challenge Volume: Over 100 satellite-years of observations Calibration Each sensor has its own unique set of Sensor Calibration Problems Precision: High.
Drakkar Calibration The Drakkar microwave radiometer Calibrating Drakkar The Calibrated Data Future Work Delft, October 2004 Anne Armstrong (CETP/LMD)
Charles L Wrench RCRU Determining Cloud Liquid Water Path from Radiometer measurements at Chilbolton.
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.
Geophysical Ocean Products from AMSR-E & WindSAT Chelle L. Gentemann, Frank Wentz, Thomas Meissner, Kyle Hilburn, Deborah Smith, and Marty Brewer
A step toward operational use of AMSR-E horizontal polarized radiance in JMA global data assimilation system Masahiro Kazumori Numerical Prediction Division.
Water HM meeting E. Obligis (CLS) and L. Eymard (LOCEAN) The wet tropospheric correction issue for the WATER HM mission.
6th Aquarius/SAC-D Science Meeting July 2010 Seattle, Washington, USA MWR Calibration pre-launch & post launch Juan Cruz Gallo (CONAE) Linwood Jones.
South Pole North Pole South Pole DD, K CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On orbit Validation Zoubair Ghazi 1, Andrea Santos-Garcia.
A New Ocean Suite Algorithm for AMSR2 David I. Duncan September 16 th, 2015 AMSR Science Team Meeting Huntsville, AL.
WP120 External Calibration of Spaceborne Microwave Remote Sensing System Sensors Objective:Evaluation of external calibration needs for a variety of microwave.
Validation strategy MARCDAT-III meeting - Frascati, Italy - May 2011 The validation phase to compare all the algorithms together and to select the best.
ESA Climate Change Initiative Sea-level-CCI project A.Cazenave (Science Leader), G.Larnicol /Y.Faugere(Project Leader), M.Ablain (EO) MARCDAT-III meeting.
Joint GRWG and GDWG Meeting February 2010, Toulouse, France
SOLab work description
GPM Microwave Radiometer Vicarious Cold Calibration
Using SCIAMACHY to calibrate GEO imagers
M. Goldberg NOAA/NESDIS Z. Cheng (QSS)
Characterizing DCC as invariant calibration target
Manik Bali Jonathan Mittaz
Calibration, Validation and Status of OSI SAF ScatSat-1 products
Calibration and Validation of Microwave Humidity Sounder onboard FY-3D Satellite Yang Guo, Songyan Gu NSMC/CMA Mar
Dorothee Coppens.
Development of FY-3/MWRI Calibration on Warm Target and Reflector Emissivity Shengli XinXin Miao Hongxin GSICS
Presentation transcript:

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 MWR Calibration & Validation status MWR Cal/Val team: Ngan Tran, Estelle Obligis, Laurence Eymard, Michel Dedieu, Claire Marimont, Joël Dorandeu, Yannice Faugère

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring -2.8%

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring -3.0%

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring -3.8%

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring => Impact direct sur Ta (ERS2 < 0.5K) -2.2K 1.3K

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Impact of drift on the Brightness Temperatures Drift of -1.06K/year on ENVISAT TBs Drift of -1.90K/year on ENVISAT TBs Monitoring over continental areas

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Impact of drift on the Brightness Temperatures Monitoring over coldest ocean points Selecting method of the coldest points over ocean: -1.2K /year

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 MWR 36 GHZ Drift Analysis The sky horn counts, hot load counts and gain have decreased by about 4% since launch Different methods provide a similar estimation for the drift of the brightness temperatures Differences between ERS and ENVISAT TBs present a drift, which is between +1 and +2 K/year => A drift of 1 to 2K/year corresponds to a drift between 0.7mm and 3 mm per year depending on the brightness temperature. Action on ALS (MWR manufacturer) to perform the investigations on the too high Te and counts and gain drifts cause and provide recommendations If no MWR stabilization, a Level 1 B algorithm upgrade to correct for the drift could be envisaged in a later stage

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Methodology for the MWR Calibration Retrieval algorithms formulated using the 2000/2001 analyses of the ECMWF model / simulations by a radiative transfer model / regression Important change in the model in January 2002 Mean bias(K)2000/ difference SIMU/ERS223.8 GHz GHz Algorithms and calibration have to be consistent Not suitable to calibrate ENVISAT/MWR over 2002 analyses > Calibration performed on ERS2 TBs adjusted on 2000/2001 database

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, K+2.16 K Comparison measurements/simulations ERS /2001 database

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 ERS2 vs ENV dh computed with adjusted sigma0_Ku High |dh| higher Low |dh| lower Bias=4.5 mm Stdev=10mm

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 ENV dh computed with adjusted sigma0_Ku vs ECMWF dh Bias=3.7 mm

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 ERS2 vs radiosounding wet tropo With Envisat we will get a better agreement with radiosounding measurements

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 MWR Algorithm Upgrades Level 2 Neural Network Algorithm  Already implemented and validated in Reference Processor  Expected operational date in IPF and CMA by mid-2003 Bias cmBias +4.5 mm Neural products Better behavior for dry atmosphere (no more necessary to add a particular correction) Current products

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 MWR Algorithm Upgrades Level 2 MWR Side Lobe Algorithm –Standard algorithm : Tsl constant : Tsl_24=8.21K and Tsl_36=0.413K –Improved Side Lobe algorithm Tsl=eta_sun x Tsun + eta_sky x Tsky +eta_earth x Tearth + eta_sat x Tsat The satellite is supposed to be at the earth temperature Tsl=eta_sun x Tsun + eta_sky x Tsky +(eta_earth + eta_sat) x Tearth Tearth estimated from 1 year of ERS2/MWR measurements function of the position(1°x1° meshes)/season(4)/frequency(2)

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Mean Side Lobe Contribution for 23.8 GHz channel - Spring Actual constant value

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Difference between TB_23.8 computed with improved and operational algo for cycle 10

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Difference between TB_36.5 computed with improved and operational algo for cycle 10

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Difference between Dh computed with improved and operational algo for cycle 10

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Validation of the new Side Lobe algorithm  Validation method –Comparison between BTs Envisat and ERS-2 over strongly contaminated zones –With the new algorithm, the difference in BT between ERS and Envisat shall be closer than the one observed in open ocean  But –Can we consider the ERS-2 BT as a reference ? –Are all the Envisat efficiencies values valid ? –Can the Envisat Platform be considered as a perfect reflector ?

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Conclusions / Recommendations The Envisat MWR has been calibrated to get consistency with the 2000/2001 database used for the computation of the retrieval algorithms Mean bias around 5 mm between ERS2 and ENVISAT dh => we will get a better agreement with radiosounding measurements Neural algorithm ready for operational application –Linear correction factors shall be added on BTs and Sigma0 –Sigma0_Ku 1 dB higher (in MWR NN level 2 processing) to provide reliable radiometer products The impact of the new side lobe algorithm has been estimated (up to 1 cm near the costs). The validation is on the way There is a drift of the ENVISAT 36.5 GHz gain. Investigation is on-going. Not taken into account because the calibration has been performed at the end of September and is valuable for October data

RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Perspectives Validation of the Side Lobe algorithm near the costs using ERS2 TBs (-> mid 03) Comparison with other radiometers (Jason, AMSU-A - 1 common channel) Comparison with radiosounding measurements (when enough coincidences : mid 2003 ?) Check/change the calibration depending on the drift explanation (-> April/May 03) After adjustment of the ERS2 TBs as well as correction of the 23.8 GHz drift, use of the same algorithms than for Envisat => better agreement and continuity between the 2 missions