SlideShare a Scribd company logo
1 of 25
VERIFICATION OF POINTING AND ANTENNA PATTERN KNOWLEDGE OF SUPERCONDUCTING SUBMILLIMETER-WAVE Limb-EMISSION SOUNDER (SMILES)   Makoto Suzuki 1 , Satoshi Ochiai 2 , Chihiro Mitsuda 3 , Koji Imai 4 , Takeshi Manabe 5 , Kenichi Kikuchi 1 , Toshiyuki Nishibori 1 , Naohiro Manago 1 , Yoshitaka Iwata 1 , Takuki Sano 1  and Masato Shiotani 6 1 Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Japan 2 National Institute of Information and Communications Technology, Japan 3 Fujitsu FIP Corporation, Japan, 4 Tome R&D Inc., Japan 5 Department of Aerospace Engineering, Graduate School, Osaka Prefecture University, Japan 6 Research Institute for Sustainable Humanosphere, Kyoto University, Japan  11/07/28 IGARSS2011 Suzuki
JEM/SMILES Mission ,[object Object],[object Object],[object Object],[object Object],(JEM/SMILES: Superconducting Submillimeter-Wave Limb-Emission Sounder designed to be aboard the Japanese Experiment Module on ISS; Collaboration project of JAXA -  Japan Aerospace Exploration Agency  - and NICT -  National Institute of Information and Communications Technology  -)  1. Demonstration of superconductive mixer and 4-K mechanical cooler for the submillimeter limb-emission sounding in space 2. Observation on atmospheric minor constituents in the middle atmosphere [SIS Mixer]  RF: 640 GHz, IF: 11-13 GHz; Junction: Nb/AlOx/Nb, ~7 kA/cm 2 ; Fabricated at Nobeyama RO [Mechanical Cooler] Two-stage Stirling and J-T; 20mW @4K,  200mW @20K, 1000mW @100K; Power Consumption: <300 W; Mass: 90 kg Aug. 23, 2010 Presentation at Hokkaido U.
JEM/SMILES Payload The SMILES was carried by the H-IIB with the H-II Transfer Vehicle (HTV) (Sep.  11); the HTV was attached to the ISS (Sep. 18); the SMILES was attached to the JEM (Sep. 25) (All dates in JST) SMILES ,[object Object],[object Object],[object Object],[object Object],Aug. 23, 2010 Presentation at Hokkaido U.
Two Bands among Band A, B, C can be observed. May 11, 2011 ACE meeting, M. Suzuki et al Band A Band B Band C Frequency region has been selected by engineering interest, as high as possible, but 625-626 GHz region is the only frequency to measure HCl below 1 THz. At 600 GHz troposphere is opaque in limb. Tsys ~ 350 K, and Noise floor is ~0.4 K, given by
Scientific targets of SMILES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 11, 2011 ACE meeting, M. Suzuki et al Error estimation for the mid-latitude case based on the single scan measurement Simulated SMILES observation performance
version 1.3 SMILES L2 data It is already comparable to other satellite data, Aura/MLS, SciSAt-1/ACE-FTS, ENVISAT/MIAPS, TIMED/SABER etc. 11/07/28 IGARSS2011 Suzuki
ver. 1.3 O 3   55 deg < latitude < 65 deg Ref – SMILES   (Ref – SMILES) / |SMILES| The SMILES L2   O 3  has a negative bias with respect to ACE-FTS and MLS at around 50 km. However O 3  measurements are well determined within 5% differences at 20-40 km. O
ver. 1.3 HCl The SMILES L2 HCl has a negative bias with respect to ACE-FTS and MLS at around 50 km. However it is almost similar to those of the comparison instruments below 45 km. 55 deg < latitude < 65 deg Ref – SMILES   (Ref – SMILES) / |SMILES|
M LS vs. SMILES: ClO  (daytime) -35 deg < latitude < -25 deg Coincidence events: SMILES (59) for MLS v2.2 (92) SMILES (59) for MLS v3.3 (92) | t | < 24 hour, | r | < 200 km, | sza | < 2 deg Ref – SMILES   (Ref – SMILES) / |SMILES| The SMILES L2 ClO is in good agreement with MLS v2.2 and v3.3. O Cl
SMILES is expected to provide break-through data,  not the yet another satellite data. such as &quot;Global ClO distribution&quot; SMILES provides global ClO distribution with high precision. Furthermore, measurements of ClO, HCl, HOCl, and HO 2  can provide important insights into the Cly chemistry.  ? Santee et al., 2008 ? MLS 25 ppt @22km this work 25 ppt at EQ 22km May 11, 2011 ACE meeting, M. Suzuki et al
SMILES retrieval requires detailed knowledge of instrument function. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],11/07/28 IGARSS2011 Suzuki
Left: AOS characteristics Right: Nonlinearity correction 11/07/28 IGARSS2011 Suzuki Fig2: A spectral image of comb signal  Fig4 : Temporal variation of resolution (AU1)
Pointing Knowledge, Accuracy ,[object Object],[object Object],[object Object],[object Object],[object Object],11/07/28 IGARSS2011 Suzuki
It was found that there might be jitter among attitude data. ISS attitude data should be corrected, using MAXI-ISS jitter data. 11/07/28 IGARSS2011 Suzuki Fig. 1 Relative difference between MAXI GPS 1pps signal and the ISS clock telemetry data.
ISS attitude gives much smooth retrieved profile. After the jitter correction, systematic bias also disappeared. 11/07/28 IGARSS2011 Suzuki Fig. 2 Retrieved O 3  profiles using the SMILES Star Sensor data (left) and ISS attitude data (right).
Tentative conclusion on pointing knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],11/07/28 IGARSS2011 Suzuki
Offset Cassegrain, 400 mm (vertical) x 200 mm (horizontal) elliptical shaped antenna Scan step 0.009375 deg (33.75’’), resolver +/- 0.0015 deg (5.4’’) 11/07/28 IGARSS2011 Suzuki
Fig. 3 Two dimensional (Elevation, Azimuth) SMILES antenna pattern. [7] T. Manabe, et al., “Measurements of the Offset-Cassegrain Antenna of JEM/SMILES Using a Near-Field Phase-Retrieval Method in the 640 GHz Band”, 21 st  International Symposium Space Terahertz Technology, Oxford UK, March 23-25, 2010.   11/07/28 IGARSS2011 Suzuki
Fig. 4 One dimensional antenna pattern in elevation axis without antenna motion (dark), and with antenna motion (light). 11/07/28 IGARSS2011 Suzuki
Fig. 5 Averaged retrieved profiles (red: moving antenna, blue: fixed antenna), relative difference normalized to a priori of L2 ver. 1.3 O 3  (upper left), temperature (upper right), HCl (lower left) and BrO from SMILES Band A (lower right). 261 observations are averaged in Oct. 12, 2009 at equatorial region N10-S10.   11/07/28 IGARSS2011 Suzuki Band A O 3
Fig. 5 Averaged retrieved profiles (red: moving antenna, blue: fixed antenna), relative difference normalized to a priori of L2 ver. 1.3 O 3  (upper left), temperature (upper right), HCl (lower left) and BrO from SMILES Band A (lower right). 261 observations are averaged in Oct. 12, 2009 at equatorial region N10-S10.   11/07/28 IGARSS2011 Suzuki Band A Temp.
Fig. 5 Averaged retrieved profiles (red: moving antenna, blue: fixed antenna), relative difference normalized to a priori of L2 ver. 1.3 O 3  (upper left), temperature (upper right), HCl (lower left) and BrO from SMILES Band A (lower right). 261 observations are averaged in Oct. 12, 2009 at equatorial region N10-S10.   11/07/28 IGARSS2011 Suzuki Band A HCl Figure in the manuscript was mistake.
Fig. 5 Averaged retrieved profiles (red: moving antenna, blue: fixed antenna), relative difference normalized to a priori of L2 ver. 1.3 O 3  (upper left), temperature (upper right), HCl (lower left) and BrO from SMILES Band A (lower right). 261 observations are averaged in Oct. 12, 2009 at equatorial region N10-S10.   11/07/28 IGARSS2011 Suzuki Band A BrO
Conclusion on Antenna Pattern ,[object Object],[object Object],[object Object],[object Object],[object Object],11/07/28 IGARSS2011 Suzuki
Summary ,[object Object],[object Object],[object Object],[object Object],11/07/28 IGARSS2011 Suzuki

More Related Content

What's hot

Formation of Helium Lines in Prominences
Formation of Helium Lines in ProminencesFormation of Helium Lines in Prominences
Formation of Helium Lines in ProminencesUniversity of Glasgow
 
33 Measurement of beam-recoil observables Ox, Oz and target asymmetry T for t...
33 Measurement of beam-recoil observables Ox, Oz and target asymmetry T for t...33 Measurement of beam-recoil observables Ox, Oz and target asymmetry T for t...
33 Measurement of beam-recoil observables Ox, Oz and target asymmetry T for t...Cristian Randieri PhD
 
Sano_IGARSS2011.ppt
Sano_IGARSS2011.pptSano_IGARSS2011.ppt
Sano_IGARSS2011.pptgrssieee
 
2020 10 geo meeting nyambayar
2020 10 geo meeting nyambayar2020 10 geo meeting nyambayar
2020 10 geo meeting nyambayarGeoMedeelel
 
Characterisation of neutron meriaty
Characterisation of neutron  meriatyCharacterisation of neutron  meriaty
Characterisation of neutron meriatyLeishman Associates
 
Future Prospects on UHECR and UHE Photon
Future Prospects on UHECR and UHE PhotonFuture Prospects on UHECR and UHE Photon
Future Prospects on UHECR and UHE PhotonToshihiro FUJII
 
大気蛍光望遠鏡による極高エネルギー宇宙線スペクトルの研究
大気蛍光望遠鏡による極高エネルギー宇宙線スペクトルの研究大気蛍光望遠鏡による極高エネルギー宇宙線スペクトルの研究
大気蛍光望遠鏡による極高エネルギー宇宙線スペクトルの研究Toshihiro FUJII
 
Sparc Ebit September 2008
Sparc Ebit September 2008Sparc Ebit September 2008
Sparc Ebit September 2008dreebit
 
The FAST Project - Next Generation UHECR Observatory -
The FAST Project - Next Generation UHECR Observatory -The FAST Project - Next Generation UHECR Observatory -
The FAST Project - Next Generation UHECR Observatory -Toshihiro FUJII
 
Methods of improving the accuracy of fiber optic gyros
Methods of improving the accuracy of fiber optic gyrosMethods of improving the accuracy of fiber optic gyros
Methods of improving the accuracy of fiber optic gyrosKurbatov Roman
 
GPS cycle slips detection and repair through various signal combinations
GPS cycle slips detection and repair through various signal combinationsGPS cycle slips detection and repair through various signal combinations
GPS cycle slips detection and repair through various signal combinationsIJMER
 
Neon and oxygen in stellar coronae - a unification with the Sun
Neon and oxygen in stellar coronae - a unification with the SunNeon and oxygen in stellar coronae - a unification with the Sun
Neon and oxygen in stellar coronae - a unification with the SunAstroAtom
 
S-wave Velocity Based On Microtremor Array
S-wave Velocity Based On Microtremor ArrayS-wave Velocity Based On Microtremor Array
S-wave Velocity Based On Microtremor ArrayAli Osman Öncel
 
Fluorescence detector Array of Single-pixel Telescopes (FAST) project
Fluorescence detector Array of Single-pixel Telescopes (FAST) projectFluorescence detector Array of Single-pixel Telescopes (FAST) project
Fluorescence detector Array of Single-pixel Telescopes (FAST) projectToshihiro FUJII
 
Equipment tool box talks; commonly used (and useful) near surface geophysics ...
Equipment tool box talks; commonly used (and useful) near surface geophysics ...Equipment tool box talks; commonly used (and useful) near surface geophysics ...
Equipment tool box talks; commonly used (and useful) near surface geophysics ...George Tuckwell
 
First results from a prototype for the Fluorescence detector Array of Single-...
First results from a prototype for the Fluorescence detector Array of Single-...First results from a prototype for the Fluorescence detector Array of Single-...
First results from a prototype for the Fluorescence detector Array of Single-...Toshihiro FUJII
 
Multi-channel Detector Readout Integrated Circuits with ADCs for X-ray and Ga...
Multi-channel Detector Readout Integrated Circuits with ADCs for X-ray and Ga...Multi-channel Detector Readout Integrated Circuits with ADCs for X-ray and Ga...
Multi-channel Detector Readout Integrated Circuits with ADCs for X-ray and Ga...Gunnar Maehlum
 
A Conceptual Design for a Large Ground Array of Fluorescence Detectors
A Conceptual Design for a Large Ground Array of Fluorescence DetectorsA Conceptual Design for a Large Ground Array of Fluorescence Detectors
A Conceptual Design for a Large Ground Array of Fluorescence DetectorsToshihiro FUJII
 
FAST実験6:新型大気蛍光望遠鏡による観測報告とピエールオージェ観測所への設置計画
FAST実験6:新型大気蛍光望遠鏡による観測報告とピエールオージェ観測所への設置計画FAST実験6:新型大気蛍光望遠鏡による観測報告とピエールオージェ観測所への設置計画
FAST実験6:新型大気蛍光望遠鏡による観測報告とピエールオージェ観測所への設置計画Toshihiro FUJII
 

What's hot (20)

Formation of Helium Lines in Prominences
Formation of Helium Lines in ProminencesFormation of Helium Lines in Prominences
Formation of Helium Lines in Prominences
 
33 Measurement of beam-recoil observables Ox, Oz and target asymmetry T for t...
33 Measurement of beam-recoil observables Ox, Oz and target asymmetry T for t...33 Measurement of beam-recoil observables Ox, Oz and target asymmetry T for t...
33 Measurement of beam-recoil observables Ox, Oz and target asymmetry T for t...
 
Sano_IGARSS2011.ppt
Sano_IGARSS2011.pptSano_IGARSS2011.ppt
Sano_IGARSS2011.ppt
 
2020 10 geo meeting nyambayar
2020 10 geo meeting nyambayar2020 10 geo meeting nyambayar
2020 10 geo meeting nyambayar
 
Characterisation of neutron meriaty
Characterisation of neutron  meriatyCharacterisation of neutron  meriaty
Characterisation of neutron meriaty
 
Future Prospects on UHECR and UHE Photon
Future Prospects on UHECR and UHE PhotonFuture Prospects on UHECR and UHE Photon
Future Prospects on UHECR and UHE Photon
 
大気蛍光望遠鏡による極高エネルギー宇宙線スペクトルの研究
大気蛍光望遠鏡による極高エネルギー宇宙線スペクトルの研究大気蛍光望遠鏡による極高エネルギー宇宙線スペクトルの研究
大気蛍光望遠鏡による極高エネルギー宇宙線スペクトルの研究
 
Sparc Ebit September 2008
Sparc Ebit September 2008Sparc Ebit September 2008
Sparc Ebit September 2008
 
The FAST Project - Next Generation UHECR Observatory -
The FAST Project - Next Generation UHECR Observatory -The FAST Project - Next Generation UHECR Observatory -
The FAST Project - Next Generation UHECR Observatory -
 
Methods of improving the accuracy of fiber optic gyros
Methods of improving the accuracy of fiber optic gyrosMethods of improving the accuracy of fiber optic gyros
Methods of improving the accuracy of fiber optic gyros
 
2D Microtremor Array
2D Microtremor Array2D Microtremor Array
2D Microtremor Array
 
GPS cycle slips detection and repair through various signal combinations
GPS cycle slips detection and repair through various signal combinationsGPS cycle slips detection and repair through various signal combinations
GPS cycle slips detection and repair through various signal combinations
 
Neon and oxygen in stellar coronae - a unification with the Sun
Neon and oxygen in stellar coronae - a unification with the SunNeon and oxygen in stellar coronae - a unification with the Sun
Neon and oxygen in stellar coronae - a unification with the Sun
 
S-wave Velocity Based On Microtremor Array
S-wave Velocity Based On Microtremor ArrayS-wave Velocity Based On Microtremor Array
S-wave Velocity Based On Microtremor Array
 
Fluorescence detector Array of Single-pixel Telescopes (FAST) project
Fluorescence detector Array of Single-pixel Telescopes (FAST) projectFluorescence detector Array of Single-pixel Telescopes (FAST) project
Fluorescence detector Array of Single-pixel Telescopes (FAST) project
 
Equipment tool box talks; commonly used (and useful) near surface geophysics ...
Equipment tool box talks; commonly used (and useful) near surface geophysics ...Equipment tool box talks; commonly used (and useful) near surface geophysics ...
Equipment tool box talks; commonly used (and useful) near surface geophysics ...
 
First results from a prototype for the Fluorescence detector Array of Single-...
First results from a prototype for the Fluorescence detector Array of Single-...First results from a prototype for the Fluorescence detector Array of Single-...
First results from a prototype for the Fluorescence detector Array of Single-...
 
Multi-channel Detector Readout Integrated Circuits with ADCs for X-ray and Ga...
Multi-channel Detector Readout Integrated Circuits with ADCs for X-ray and Ga...Multi-channel Detector Readout Integrated Circuits with ADCs for X-ray and Ga...
Multi-channel Detector Readout Integrated Circuits with ADCs for X-ray and Ga...
 
A Conceptual Design for a Large Ground Array of Fluorescence Detectors
A Conceptual Design for a Large Ground Array of Fluorescence DetectorsA Conceptual Design for a Large Ground Array of Fluorescence Detectors
A Conceptual Design for a Large Ground Array of Fluorescence Detectors
 
FAST実験6:新型大気蛍光望遠鏡による観測報告とピエールオージェ観測所への設置計画
FAST実験6:新型大気蛍光望遠鏡による観測報告とピエールオージェ観測所への設置計画FAST実験6:新型大気蛍光望遠鏡による観測報告とピエールオージェ観測所への設置計画
FAST実験6:新型大気蛍光望遠鏡による観測報告とピエールオージェ観測所への設置計画
 

Viewers also liked

fr2.t03.5.2-micron IPDA Presentation at IGARSS-2011-Final-Revised-1.pptx
fr2.t03.5.2-micron IPDA Presentation at IGARSS-2011-Final-Revised-1.pptxfr2.t03.5.2-micron IPDA Presentation at IGARSS-2011-Final-Revised-1.pptx
fr2.t03.5.2-micron IPDA Presentation at IGARSS-2011-Final-Revised-1.pptxgrssieee
 
Souza Filho Talk IGARSS 2011 final version.pptx
Souza Filho Talk IGARSS 2011 final version.pptxSouza Filho Talk IGARSS 2011 final version.pptx
Souza Filho Talk IGARSS 2011 final version.pptxgrssieee
 
Notarnicola_TH2_TO4.2.ppt
Notarnicola_TH2_TO4.2.pptNotarnicola_TH2_TO4.2.ppt
Notarnicola_TH2_TO4.2.pptgrssieee
 
OnTheUseOfMultitemporalSeriesOfCOSMODataForClassificationAndSurfaceParameterR...
OnTheUseOfMultitemporalSeriesOfCOSMODataForClassificationAndSurfaceParameterR...OnTheUseOfMultitemporalSeriesOfCOSMODataForClassificationAndSurfaceParameterR...
OnTheUseOfMultitemporalSeriesOfCOSMODataForClassificationAndSurfaceParameterR...grssieee
 
Wenhui_Wang.LowerTroposphericTemperatureClimateDataRecordUsingNOAANESDISSTARR...
Wenhui_Wang.LowerTroposphericTemperatureClimateDataRecordUsingNOAANESDISSTARR...Wenhui_Wang.LowerTroposphericTemperatureClimateDataRecordUsingNOAANESDISSTARR...
Wenhui_Wang.LowerTroposphericTemperatureClimateDataRecordUsingNOAANESDISSTARR...grssieee
 
BAUP_IGARSS_2011.pdf
BAUP_IGARSS_2011.pdfBAUP_IGARSS_2011.pdf
BAUP_IGARSS_2011.pdfgrssieee
 
Locally_adaptive.ppt
Locally_adaptive.pptLocally_adaptive.ppt
Locally_adaptive.pptgrssieee
 
IGARSS_LIU_XU_2011.ppt
IGARSS_LIU_XU_2011.pptIGARSS_LIU_XU_2011.ppt
IGARSS_LIU_XU_2011.pptgrssieee
 
75315682 hse leak-detection
75315682 hse leak-detection75315682 hse leak-detection
75315682 hse leak-detectionJasmin Jasmin
 

Viewers also liked (9)

fr2.t03.5.2-micron IPDA Presentation at IGARSS-2011-Final-Revised-1.pptx
fr2.t03.5.2-micron IPDA Presentation at IGARSS-2011-Final-Revised-1.pptxfr2.t03.5.2-micron IPDA Presentation at IGARSS-2011-Final-Revised-1.pptx
fr2.t03.5.2-micron IPDA Presentation at IGARSS-2011-Final-Revised-1.pptx
 
Souza Filho Talk IGARSS 2011 final version.pptx
Souza Filho Talk IGARSS 2011 final version.pptxSouza Filho Talk IGARSS 2011 final version.pptx
Souza Filho Talk IGARSS 2011 final version.pptx
 
Notarnicola_TH2_TO4.2.ppt
Notarnicola_TH2_TO4.2.pptNotarnicola_TH2_TO4.2.ppt
Notarnicola_TH2_TO4.2.ppt
 
OnTheUseOfMultitemporalSeriesOfCOSMODataForClassificationAndSurfaceParameterR...
OnTheUseOfMultitemporalSeriesOfCOSMODataForClassificationAndSurfaceParameterR...OnTheUseOfMultitemporalSeriesOfCOSMODataForClassificationAndSurfaceParameterR...
OnTheUseOfMultitemporalSeriesOfCOSMODataForClassificationAndSurfaceParameterR...
 
Wenhui_Wang.LowerTroposphericTemperatureClimateDataRecordUsingNOAANESDISSTARR...
Wenhui_Wang.LowerTroposphericTemperatureClimateDataRecordUsingNOAANESDISSTARR...Wenhui_Wang.LowerTroposphericTemperatureClimateDataRecordUsingNOAANESDISSTARR...
Wenhui_Wang.LowerTroposphericTemperatureClimateDataRecordUsingNOAANESDISSTARR...
 
BAUP_IGARSS_2011.pdf
BAUP_IGARSS_2011.pdfBAUP_IGARSS_2011.pdf
BAUP_IGARSS_2011.pdf
 
Locally_adaptive.ppt
Locally_adaptive.pptLocally_adaptive.ppt
Locally_adaptive.ppt
 
IGARSS_LIU_XU_2011.ppt
IGARSS_LIU_XU_2011.pptIGARSS_LIU_XU_2011.ppt
IGARSS_LIU_XU_2011.ppt
 
75315682 hse leak-detection
75315682 hse leak-detection75315682 hse leak-detection
75315682 hse leak-detection
 

Similar to IGARSS2011_presentation.ppt

Propagation of highly_efficient_star_formation_in_ngc7000
Propagation of highly_efficient_star_formation_in_ngc7000Propagation of highly_efficient_star_formation_in_ngc7000
Propagation of highly_efficient_star_formation_in_ngc7000Sérgio Sacani
 
The wonderful complexity_of_the_mira_ab_system
The wonderful complexity_of_the_mira_ab_systemThe wonderful complexity_of_the_mira_ab_system
The wonderful complexity_of_the_mira_ab_systemSérgio Sacani
 
Monitoring of ulf (ultra low-frequency) geomagnetic
Monitoring of ulf (ultra low-frequency) geomagneticMonitoring of ulf (ultra low-frequency) geomagnetic
Monitoring of ulf (ultra low-frequency) geomagneticoilandgas24
 
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...Sérgio Sacani
 
case study seminar
case study seminarcase study seminar
case study seminarCharu Kamra
 
Organic Spintronics
Organic SpintronicsOrganic Spintronics
Organic SpintronicsECEatUtah
 
Organic Spintronics
Organic SpintronicsOrganic Spintronics
Organic Spintronicsminkayj
 
Sea_Surface_Salinity_and_Lband_Radiometric_measurements_CAROLS_SMOS.pdf
Sea_Surface_Salinity_and_Lband_Radiometric_measurements_CAROLS_SMOS.pdfSea_Surface_Salinity_and_Lband_Radiometric_measurements_CAROLS_SMOS.pdf
Sea_Surface_Salinity_and_Lband_Radiometric_measurements_CAROLS_SMOS.pdfgrssieee
 
Observing ultra-high energy cosmic rays with prototypes of the Fluorescence d...
Observing ultra-high energy cosmic rays with prototypes of the Fluorescence d...Observing ultra-high energy cosmic rays with prototypes of the Fluorescence d...
Observing ultra-high energy cosmic rays with prototypes of the Fluorescence d...Toshihiro FUJII
 
D030102024030
D030102024030D030102024030
D030102024030theijes
 
NOAA ASSESSMENT OF THE OCEANSAT-2 SCATTEROMETER
NOAA ASSESSMENT OF THE OCEANSAT-2 SCATTEROMETERNOAA ASSESSMENT OF THE OCEANSAT-2 SCATTEROMETER
NOAA ASSESSMENT OF THE OCEANSAT-2 SCATTEROMETERgrssieee
 
Plasma properties in eruptive prominences
Plasma properties in eruptive prominencesPlasma properties in eruptive prominences
Plasma properties in eruptive prominencesUniversity of Glasgow
 
Bianchin_PANIC2011
Bianchin_PANIC2011Bianchin_PANIC2011
Bianchin_PANIC2011sbianchin
 
Inference of homogeneous_clouds_in_an_exoplanet_atmosphere
Inference of homogeneous_clouds_in_an_exoplanet_atmosphereInference of homogeneous_clouds_in_an_exoplanet_atmosphere
Inference of homogeneous_clouds_in_an_exoplanet_atmosphereSérgio Sacani
 

Similar to IGARSS2011_presentation.ppt (20)

Propagation of highly_efficient_star_formation_in_ngc7000
Propagation of highly_efficient_star_formation_in_ngc7000Propagation of highly_efficient_star_formation_in_ngc7000
Propagation of highly_efficient_star_formation_in_ngc7000
 
SRON-2011
SRON-2011SRON-2011
SRON-2011
 
The wonderful complexity_of_the_mira_ab_system
The wonderful complexity_of_the_mira_ab_systemThe wonderful complexity_of_the_mira_ab_system
The wonderful complexity_of_the_mira_ab_system
 
Monitoring of ulf (ultra low-frequency) geomagnetic
Monitoring of ulf (ultra low-frequency) geomagneticMonitoring of ulf (ultra low-frequency) geomagnetic
Monitoring of ulf (ultra low-frequency) geomagnetic
 
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
The deep blue_color_of_hd189733b_albedo_measurements_with_hst_stis_at_visible...
 
SNBoseTalk06
SNBoseTalk06SNBoseTalk06
SNBoseTalk06
 
Aa16870 11
Aa16870 11Aa16870 11
Aa16870 11
 
case study seminar
case study seminarcase study seminar
case study seminar
 
15
1515
15
 
Organic Spintronics
Organic SpintronicsOrganic Spintronics
Organic Spintronics
 
Organic Spintronics
Organic SpintronicsOrganic Spintronics
Organic Spintronics
 
Sea_Surface_Salinity_and_Lband_Radiometric_measurements_CAROLS_SMOS.pdf
Sea_Surface_Salinity_and_Lband_Radiometric_measurements_CAROLS_SMOS.pdfSea_Surface_Salinity_and_Lband_Radiometric_measurements_CAROLS_SMOS.pdf
Sea_Surface_Salinity_and_Lband_Radiometric_measurements_CAROLS_SMOS.pdf
 
Observing ultra-high energy cosmic rays with prototypes of the Fluorescence d...
Observing ultra-high energy cosmic rays with prototypes of the Fluorescence d...Observing ultra-high energy cosmic rays with prototypes of the Fluorescence d...
Observing ultra-high energy cosmic rays with prototypes of the Fluorescence d...
 
D030102024030
D030102024030D030102024030
D030102024030
 
NOAA ASSESSMENT OF THE OCEANSAT-2 SCATTEROMETER
NOAA ASSESSMENT OF THE OCEANSAT-2 SCATTEROMETERNOAA ASSESSMENT OF THE OCEANSAT-2 SCATTEROMETER
NOAA ASSESSMENT OF THE OCEANSAT-2 SCATTEROMETER
 
Plasma properties in eruptive prominences
Plasma properties in eruptive prominencesPlasma properties in eruptive prominences
Plasma properties in eruptive prominences
 
Aa16899 11
Aa16899 11Aa16899 11
Aa16899 11
 
Aa17304 11
Aa17304 11Aa17304 11
Aa17304 11
 
Bianchin_PANIC2011
Bianchin_PANIC2011Bianchin_PANIC2011
Bianchin_PANIC2011
 
Inference of homogeneous_clouds_in_an_exoplanet_atmosphere
Inference of homogeneous_clouds_in_an_exoplanet_atmosphereInference of homogeneous_clouds_in_an_exoplanet_atmosphere
Inference of homogeneous_clouds_in_an_exoplanet_atmosphere
 

More from grssieee

Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...grssieee
 
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELSEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELgrssieee
 
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...grssieee
 
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESTHE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESgrssieee
 
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSGMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSgrssieee
 
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERPROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERgrssieee
 
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
 
test 34mb wo animations
test  34mb wo animationstest  34mb wo animations
test 34mb wo animationsgrssieee
 
2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdfgrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
Tana_IGARSS2011.ppt
Tana_IGARSS2011.pptTana_IGARSS2011.ppt
Tana_IGARSS2011.pptgrssieee
 
Solaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptSolaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptgrssieee
 

More from grssieee (20)

Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
 
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELSEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
 
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
 
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESTHE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
 
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSGMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
 
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERPROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
 
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
Test
TestTest
Test
 
test 34mb wo animations
test  34mb wo animationstest  34mb wo animations
test 34mb wo animations
 
Test 70MB
Test 70MBTest 70MB
Test 70MB
 
Test 70MB
Test 70MBTest 70MB
Test 70MB
 
2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf
 
DLR open house
DLR open houseDLR open house
DLR open house
 
DLR open house
DLR open houseDLR open house
DLR open house
 
DLR open house
DLR open houseDLR open house
DLR open house
 
Tana_IGARSS2011.ppt
Tana_IGARSS2011.pptTana_IGARSS2011.ppt
Tana_IGARSS2011.ppt
 
Solaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptSolaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.ppt
 

Recently uploaded

How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfFIDO Alliance
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfFIDO Alliance
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka DoktorováCzechDreamin
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomCzechDreamin
 
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKConnecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKUXDXConf
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon
 
Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationIntroduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationZilliz
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Julian Hyde
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsUXDXConf
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...FIDO Alliance
 
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1DianaGray10
 
UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2DianaGray10
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfFIDO Alliance
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaCzechDreamin
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoTAnalytics
 
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya HalderCustom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya HalderCzechDreamin
 
Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024Enterprise Knowledge
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...CzechDreamin
 
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxWSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxJennifer Lim
 
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System StrategyA Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System StrategyUXDXConf
 

Recently uploaded (20)

How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
 
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKConnecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAK
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
 
Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationIntroduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG Evaluation
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering Teams
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
 
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
 
UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya HalderCustom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
 
Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxWSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
 
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System StrategyA Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
 

IGARSS2011_presentation.ppt

  • 1. VERIFICATION OF POINTING AND ANTENNA PATTERN KNOWLEDGE OF SUPERCONDUCTING SUBMILLIMETER-WAVE Limb-EMISSION SOUNDER (SMILES)   Makoto Suzuki 1 , Satoshi Ochiai 2 , Chihiro Mitsuda 3 , Koji Imai 4 , Takeshi Manabe 5 , Kenichi Kikuchi 1 , Toshiyuki Nishibori 1 , Naohiro Manago 1 , Yoshitaka Iwata 1 , Takuki Sano 1 and Masato Shiotani 6 1 Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Japan 2 National Institute of Information and Communications Technology, Japan 3 Fujitsu FIP Corporation, Japan, 4 Tome R&D Inc., Japan 5 Department of Aerospace Engineering, Graduate School, Osaka Prefecture University, Japan 6 Research Institute for Sustainable Humanosphere, Kyoto University, Japan 11/07/28 IGARSS2011 Suzuki
  • 2.
  • 3.
  • 4. Two Bands among Band A, B, C can be observed. May 11, 2011 ACE meeting, M. Suzuki et al Band A Band B Band C Frequency region has been selected by engineering interest, as high as possible, but 625-626 GHz region is the only frequency to measure HCl below 1 THz. At 600 GHz troposphere is opaque in limb. Tsys ~ 350 K, and Noise floor is ~0.4 K, given by
  • 5.
  • 6. version 1.3 SMILES L2 data It is already comparable to other satellite data, Aura/MLS, SciSAt-1/ACE-FTS, ENVISAT/MIAPS, TIMED/SABER etc. 11/07/28 IGARSS2011 Suzuki
  • 7. ver. 1.3 O 3 55 deg < latitude < 65 deg Ref – SMILES (Ref – SMILES) / |SMILES| The SMILES L2 O 3 has a negative bias with respect to ACE-FTS and MLS at around 50 km. However O 3 measurements are well determined within 5% differences at 20-40 km. O
  • 8. ver. 1.3 HCl The SMILES L2 HCl has a negative bias with respect to ACE-FTS and MLS at around 50 km. However it is almost similar to those of the comparison instruments below 45 km. 55 deg < latitude < 65 deg Ref – SMILES (Ref – SMILES) / |SMILES|
  • 9. M LS vs. SMILES: ClO (daytime) -35 deg < latitude < -25 deg Coincidence events: SMILES (59) for MLS v2.2 (92) SMILES (59) for MLS v3.3 (92) | t | < 24 hour, | r | < 200 km, | sza | < 2 deg Ref – SMILES (Ref – SMILES) / |SMILES| The SMILES L2 ClO is in good agreement with MLS v2.2 and v3.3. O Cl
  • 10. SMILES is expected to provide break-through data, not the yet another satellite data. such as &quot;Global ClO distribution&quot; SMILES provides global ClO distribution with high precision. Furthermore, measurements of ClO, HCl, HOCl, and HO 2 can provide important insights into the Cly chemistry. ? Santee et al., 2008 ? MLS 25 ppt @22km this work 25 ppt at EQ 22km May 11, 2011 ACE meeting, M. Suzuki et al
  • 11.
  • 12. Left: AOS characteristics Right: Nonlinearity correction 11/07/28 IGARSS2011 Suzuki Fig2: A spectral image of comb signal Fig4 : Temporal variation of resolution (AU1)
  • 13.
  • 14. It was found that there might be jitter among attitude data. ISS attitude data should be corrected, using MAXI-ISS jitter data. 11/07/28 IGARSS2011 Suzuki Fig. 1 Relative difference between MAXI GPS 1pps signal and the ISS clock telemetry data.
  • 15. ISS attitude gives much smooth retrieved profile. After the jitter correction, systematic bias also disappeared. 11/07/28 IGARSS2011 Suzuki Fig. 2 Retrieved O 3 profiles using the SMILES Star Sensor data (left) and ISS attitude data (right).
  • 16.
  • 17. Offset Cassegrain, 400 mm (vertical) x 200 mm (horizontal) elliptical shaped antenna Scan step 0.009375 deg (33.75’’), resolver +/- 0.0015 deg (5.4’’) 11/07/28 IGARSS2011 Suzuki
  • 18. Fig. 3 Two dimensional (Elevation, Azimuth) SMILES antenna pattern. [7] T. Manabe, et al., “Measurements of the Offset-Cassegrain Antenna of JEM/SMILES Using a Near-Field Phase-Retrieval Method in the 640 GHz Band”, 21 st International Symposium Space Terahertz Technology, Oxford UK, March 23-25, 2010. 11/07/28 IGARSS2011 Suzuki
  • 19. Fig. 4 One dimensional antenna pattern in elevation axis without antenna motion (dark), and with antenna motion (light). 11/07/28 IGARSS2011 Suzuki
  • 20. Fig. 5 Averaged retrieved profiles (red: moving antenna, blue: fixed antenna), relative difference normalized to a priori of L2 ver. 1.3 O 3 (upper left), temperature (upper right), HCl (lower left) and BrO from SMILES Band A (lower right). 261 observations are averaged in Oct. 12, 2009 at equatorial region N10-S10. 11/07/28 IGARSS2011 Suzuki Band A O 3
  • 21. Fig. 5 Averaged retrieved profiles (red: moving antenna, blue: fixed antenna), relative difference normalized to a priori of L2 ver. 1.3 O 3 (upper left), temperature (upper right), HCl (lower left) and BrO from SMILES Band A (lower right). 261 observations are averaged in Oct. 12, 2009 at equatorial region N10-S10. 11/07/28 IGARSS2011 Suzuki Band A Temp.
  • 22. Fig. 5 Averaged retrieved profiles (red: moving antenna, blue: fixed antenna), relative difference normalized to a priori of L2 ver. 1.3 O 3 (upper left), temperature (upper right), HCl (lower left) and BrO from SMILES Band A (lower right). 261 observations are averaged in Oct. 12, 2009 at equatorial region N10-S10. 11/07/28 IGARSS2011 Suzuki Band A HCl Figure in the manuscript was mistake.
  • 23. Fig. 5 Averaged retrieved profiles (red: moving antenna, blue: fixed antenna), relative difference normalized to a priori of L2 ver. 1.3 O 3 (upper left), temperature (upper right), HCl (lower left) and BrO from SMILES Band A (lower right). 261 observations are averaged in Oct. 12, 2009 at equatorial region N10-S10. 11/07/28 IGARSS2011 Suzuki Band A BrO
  • 24.
  • 25.