Aquarius Sca+erometer Calibra3on
|
|
- Candace Cain
- 5 years ago
- Views:
Transcription
1 Aquarius Sca+erometer Calibra3on Fore, A., Neumann, G., Freedman, A., Chaubell, M., Tang, W., Hayashi, A., and Yueh, S. 217 California Ins3tute of Technology, Government Sponsorship acknowledged
2 Aquarius Instrument Calibra3on Aquarius includes a loop back calibra3on feature Tracks transmit power and receiver gain product. Any varia3ons within the loop back pathway are automa3cally corrected in σ computa3on. Some key por3ons of hardware lie outside of loopback pathway These are controlled thermally to ~.5 deg C temperature varia3ons. Or designed to be insensi3ve to changing temperature.
3 3.75 Scatterometer Loop back Power Power [dbm] Order.1 db changes in loop-back power over mission 3.9 Beam 1 HV Beam 1 VV Beam 1 VH Beam 1 HH /11 1/12 6/12 11/12 4/13 9/13 2/14 7/14 12/14 5/15
4 Key Scatterometer Component Temperatures outside of Loop back 22 Step Attenuator 21.5 Loop back Attenuator Loop back Switch Beam Switch 21 Temperature [deg C] /11 1/12 6/12 11/12 4/13 9/13 2/14 7/14 12/14 5/15
5 67.5 CND Gain Estimated On V Receive Beam 1 CND Gain Gain [db] Es3mate receiver gain using difference of adjacent noise power observa3ons with and without the known CND power /11 1/12 6/12 11/12 4/13 9/13 2/14 7/14 12/14 5/15
6 Gain Ratio [db] Ratio of Loop back Power to CND Gain Beam 1 Loop back / CND Gain Ratio Differences between loop-back and CND gain due to -cabling between CND and loopback path (can effect σ ) -changes in CND power (no effect on σ ) -changes in TX power (no effect on σ ) Max effect on σ of ~.1 db if due to cabling (twice observed difference) /11 1/12 6/12 11/12 4/13 9/13 2/14 7/14 12/14 5/15
7 .5 Delta Sigma HH [db] Order.1 db changes in measured expected σ over mission (without dri] correc3on) Beam 1 Beam 2 Beam 3 Dec 11 Jun 12 Dec 12 Jun 13 Dec 13 Jun 14 Dec 14
8 .5 Delta Sigma VV [db] Order.1 db changes in measured expected σ over mission (without dri] correc3on) Beam 1 Beam 2 Beam 3 Dec 11 Jun 12 Dec 12 Jun 13 Dec 13 Jun 14 Dec 14
9 Amazon γ γ = σ cos ( θinc ) PALSAR found γ values in the Amazon stable across 2-45 degrees in incidence angle* Wet-dry seasonal difference of ~.27 db** Wet season is approx. Nov-April. Best es3mates are: HH ~ db (std.18) HV ~ db (std.21) Does not have RAP correc3on *M. Shimada, O. Isoguchi, T. Tadono, and K. Isono. Palsar radiometric and geometric calibra3on. Geoscience and Remote Sensing, IEEE Transac3ons on, 47(12): , dec. 29 (Images from this source) **M. Shimada. Long-term stability of l-band normalized radar cross sec3on of amazon rainforest using the jers-1 sar. Canadian Journal of Remote Sensing, 31(1): , 25. RAP correc3on is range antenna pa+ern correc3on Has RAP correc3on
10 Regions used in γ Analysis Include data in blue polygon that not in black polygon Latitude Longitude
11 Amazon Gamma HH [db] Amazon Gamma VV [db] Amazon Gamma HV [db] Oct 11 May 12 Nov 12 Jun 13 Jan 14 Jul 14 Feb 15 Beam 1 Beam 2 Beam 3
12 Bias compared to PALSAR PALSAR values: HH: db; HV: db Asc / Dec Beam 1 Beam 2 Beam 3 All HH Ascending HH Descending HH All VV Ascending VV Descending VV All HV Ascending HV Descending HV No significant ascending / descending difference
13 Ocean Comparison Aquarius HH / PALSAR HH Plot of PALSAR HH GMF (black square) and our Aquarius HH GMF ( red o). -Compute wind speed PDF weighted mean ra3o of Aquarius GMF divided by PALSAR GMF. Beam Mean Ra3o [db] A [db] Beam 1; Aquarius vs PALSAR A; Mean Ratio [db]:.55 Aquarius PALSAR Wind Speed [m/s] 1 Beam 2; Aquarius vs PALSAR A; Mean Ratio [db]:.1 15 Beam 3; Aquarius vs PALSAR A; Mean Ratio [db]: A [db] Aquarius PALSAR Wind Speed [m/s] A [db] 25 3 Aquarius PALSAR Wind Speed [m/s]
14 4 Bias STD SCAT Speed compared to SSMI/S SCAT Speed Bias / STD [m/s] Overall Bias:.35 Overall STD: SSMI/S Speed [m/s]
15 4 Bias STD CAP Speed compared to SSMI/S CAP Speed Bias / STD [m/s] Overall Bias:.165 Overall STD: SSMI/S Speed [m/s]
16 Triple-Colloca3on Results The sca+erometer-only wind speed product has performance within.2 m/s RMS of RapidSCAT Bias Slope RMS Error SSMI RapidScat SCAT Bias Slope RMS Error SSMI RapidScat CAP
17 Triple-Colloca3on Results (u/v component) The vector triple-colloca3on results suggest that the CAP wind direc3on is not as good as that from RapidScat. U Component Bias Slope RMS Error ECMWF RapidScat CAP V Component Bias Slope RMS Error ECMWF RapidScat CAP
18 Wind Speed Bias/STD as compared to SSMI/S 1.2 Bias/STD [m/s] Scat Bias Scat STD CAP Bias CAP STD
19 Summary Aquarius is a stable source of calibrated L-band backsca+er over the mission. Stability: Instrument only predicts worst-case of.1 db Measured model shows order.1 db dri] corrected for in V4. data Aquarius is calibrated to be consistent with PALSAR Amazon: We find no significant ascending descending difference. Seasonal varia3on of.5 db over Amazon. Ocean: Comparison of Aquarius and PALSAR model func3ons shows they are calibrated to the 1 db level. Various factors can explain the residual differences (ancillary wind speed used, etc.). Aquarius has been used as reference for SMAP radar calibra3on. Aquarius provides a wind speed product with accuracy approaching that from previous Ku and C-band sca+erometers.
20 Backups
21 3 27 Histogram of SCAT vs SSMI/S Speed SCAT Speed [m/s] Log(Counts) SSMI/S Speed [m/s]
22 3 27 Histogram of CAP vs SSMI/S Speed CAP Speed [m/s] Log(Counts) SSMI/S Speed [m/s]
23 PALSAR Found γ HH = db and γ HV = db Histograms of Aquarius γ For the Three Beams 15 B1; Mean HH gamma: B2; Mean HH gamma: B3; Mean HH gamma: B1; Mean VV gamma: B1; Mean HV gamma: B2; Mean VV gamma: B2; Mean HV gamma: B3; Mean VV gamma: B3; Mean HV gamma:
Aquarius Wind Speed Retrievals and Implica6ons for SMAP Ocean Vector Winds
Aquarius Wind Speed Retrievals and Implica6ons for SMAP Ocean Vector Winds Alex Fore, Simon Yueh, Wenqing Tang, Julian Chaubell, Gregory Neumann, Akiko Hayashi, and Adam Freedman 214 California Ins6tute
More informationSIMON YUEH, WENQING TANG, ALEXANDER FORE, AND JULIAN CHAUBELL JPL-CALTECH, PASADENA, CA, USA GARY LAGERLOEF EARTH AND SPACE RESEARCH, SEATTLE, WA, US
Applications of L-Band Scatterometry and Radiometry to Aquarius and SMAP SIMON YUEH, WENQING TANG, ALEXANDER FORE, AND JULIAN CHAUBELL JPL-CALTECH, PASADENA, CA, USA GARY LAGERLOEF EARTH AND SPACE RESEARCH,
More informationAquarius / SMAP Ocean Roughness and SSS
Aquarius / SMAP Ocean Roughness and SSS Alex Fore, Simon Yueh, Wenqing Tang, Akiko Hayashi L2B and L3 data are available at: h2p://ourocean.jpl.nasa.gov 216 California InsItute of Technology, Government
More informationUpdates of Aquarius CAP Ocean Surface Salinity and Wind Retrieval Algorithm
Updates of Aquarius CAP Ocean Surface Salinity and Wind Retrieval Algorithm SIMON YUEH, WENQING TANG, ALEXANDER FORE, AKIKO HAYASHI November 14, 2013 Outline Introduction CAP V3.0 Flow Antenna Pattern
More informationSMAP Radiometer-Only Tropical Cyclone Size and Strength
SMAP Radiometer-Only Tropical Cyclone Size and Strength Alexander Fore, Simon Yueh, Wenqing Tang, Bryan SCles, Akiko Hayashi Jet Propulsion Laboratory, California InsCtute of Technology 218 California
More informationClimate-Quality Intercalibration of Scatterometer Missions
Climate-Quality Intercalibration of Scatterometer Missions Lucrezia Ricciardulli and Frank Wentz Remote Sensing Systems, Santa Rosa, California IOVWST meeting Sapporo, Japan, May 2016 Photo Courtesy: 1
More informationThe Ice Contamination Ratio Method: Accurately Retrieving Ocean Winds Closer to the Sea Ice Edge While Eliminating Ice Winds
The Ice Contamination Ratio Method: Accurately Retrieving Ocean Winds Closer to the Sea Ice Edge While Eliminating Ice Winds David Long Department of Electrical and Computer Engineering Brigham Young University
More informationPRELIMINARY STUDY ON DEVELOPING AN L-BAND WIND RETRIEVAL MODEL FUNCTION USING ALOS/PALSAR
PRELIMINARY STUDY ON DEVELOPING AN L-BAND WIND RETRIEVAL MODEL FUNCTION USING ALOS/PALSAR Osamu Isoguchi, Masanobu Shimada Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA) 2-1-1
More informationGeophysical Model Functions for the Retrieval of Ocean Surface Winds
Geophysical Model Functions for the Retrieval of Ocean Surface Winds Donald R. Thompson and Frank M. Monaldo Johns Hopkins University Applied Physics Laboratory 11100 Johns Hopkins Road, Laurel, MD 20708
More informationCross-Calibrating OSCAT Land Sigma-0 to Extend the QuikSCAT Land Sigma-0 Climate Record
Cross-Calibrating OSCAT Land Sigma-0 to Extend the QuikSCAT Land Sigma-0 Climate Record David G. Long Department of Electrical and Computer Engineering Brigham Young University May 2013 0 Scatterometer
More informationReprocessed QuikSCAT (V04) Wind Vectors with Ku-2011 Geophysical Model Function
Reprocessed QuikSCAT (V04) Wind Vectors with Ku-2011 Geophysical Model Function Lucrezia Ricciardulli and Frank Wentz Introduction In April 2011, we reprocessed the QuikSCAT ocean wind vectors using a
More informationSatellite information on ocean vector wind from Scatterometer data. Giovanna De Chiara
Satellite information on ocean vector wind from Scatterometer data Giovanna De Chiara Why is Scatterometer important? The scatterometer measures the ocean surface winds (ocean wind vector). Ocean surface
More informationOn the Quality of HY-2A Scatterometer Winds
On the Quality of HY-2A Scatterometer Winds W. Lin (ICM-CSIC) M. Portabella (ICM-CSIC) A. Stoffelen (KNMI) A. Verhoef (KNMI) Youguang Zhang (NSOAS) Mingsen Lin (NSOAS) Shuyan Lang (NSOAS) Juhong Zou (NSOAS)
More informationHigh resolution wind retrieval for SeaWinds
High resolution wind retrieval for SeaWinds David G. Long and Jeremy B. Luke Brigham Young University, 459 Clyde Building, Provo, UT 84602, USA ABSTRACT The SeaWinds instrument on the QuikSCAT satellite
More informationDevelopment of SAR-Derived Ocean Surface Winds at NOAA/NESDIS
Development of SAR-Derived Ocean Surface Winds at NOAA/NESDIS Pablo Clemente-Colón, William G. Pichel, NOAA/NESDIS Frank M. Monaldo, Donald R. Thompson The Johns Hopkins University Applied Physics Laboratory
More informationERS-1/2 Scatterometer new products: mission reprocessing and data quality improvement
ERS-1/2 Scatterometer new products: mission reprocessing and data quality improvement Giovanna De Chiara (1), Raffaele Crapolicchio (1), Pascal Lecomte (2) (1) Serco SpA Via Sciadonna 22-24 Frascati (Roma),
More informationTHE EFFECT OF RAIN ON ASCAT OBSERVATIONS OF THE SEA SURFACE RADAR CROSS SECTION USING SIMULTANEOUS 3-D NEXRAD RAIN MEASUREMENTS
THE EFFECT OF RAIN ON ASCAT OBSERVATIONS OF THE SEA SURFACE RADAR CROSS SECTION USING SIMULTANEOUS 3-D NERAD RAIN MEASUREMENTS David E. Weissman Hofstra University Hempstead, New York 11549 Mark A. Bourassa
More informationA. Bentamy 1, S. A. Grodsky2, D.C. Fillon1, J.F. Piollé1 (1) Laboratoire d Océanographie Spatiale / IFREMER (2) Univ. Of Maryland
Calibration and Validation of Multi-Satellite scatterometer winds A. Bentamy 1, S. A. Grodsky2, D.C. Fillon1, J.F. Piollé1 (1) Laboratoire d Océanographie Spatiale / IFREMER (2) Univ. Of Maryland Topics
More informationQuikScat/Seawinds Sigma-0 Radiometric and Location Accuracy Requirements for Land/Ice Applications
Brigham Young University Department of Electrical and Computer Engineering 459 Clyde Building Provo, Utah 84602 QuikScat/Seawinds Sigma-0 Radiometric and Location Accuracy Requirements for Land/Ice Applications
More informationSentinel-1A Ocean Level-2 Products Validation Strategy
Sentinel-1A Ocean Level-2 Products Validation Strategy Sentinel-1 Mission Performance Centre ESL L2 Team and Ocean Data Lab G.Hajduch (1), A.Mouche (2), P.Vincent (1), R.Husson (1), H.Johnsen (3), F.Collard
More informationWind Stress Working Group 2015 IOVWST Meeting Portland, OR
Wind Stress Working Group 2015 IOVWST Meeting Portland, OR Summary of Research Topics, Objectives and Questions James B. Edson University of Connecticut SPURS Mooring, Farrar, WHOI Background Motivation
More informationAn algorithm for Sea Surface Wind Speed from MWR
An algorithm for Sea Surface Wind Speed from MWR Carolina Tauro 1, Yazan Heyazin 2, María Marta Jacob 1, Linwood Jones 1 1 Comisión Nacional de Actividades Espaciales (CONAE) 2 Central Florida Remote Sensing
More informationCOMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS*
COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) Fixed Rates Variable Rates FIXED RATES OF THE PAST 25 YEARS AVERAGE RESIDENTIAL MORTGAGE LENDING RATE - 5 YEAR* (Per cent) Year Jan Feb Mar Apr May Jun Jul
More informationSatellite Observations of Equatorial Planetary Boundary Layer Wind Shear
Satellite Observations of Equatorial Planetary Boundary Layer Wind Shear David Halpern and Michael Garay NASA / California Institute of Technology Jet Propulsion Laboratory Pasadena, California, USA Thanks
More informationMean Sea Level Pressure and Wind Climatology over the North Indian Ocean: Quality control, Validation and Biases
Mean Sea Level Pressure and Wind Climatology over the North Indian Ocean: Quality control, Validation and Biases M. Rajeevan and S.K.Dikshit India Meteorological Department Pune. India Introduction India
More informationRapidScat wind validation report
Ocean and Sea Ice SAF Technical Note SAF/OSI/CDOP2/KNMI/TEC/RP/228 25 and 50 km wind products (OSI-109) Anton Verhoef, Jur Vogelzang and Ad Stoffelen KNMI Version 1.1 March 2015 DOCUMENTATION CHANGE RECORD
More informationSAR images and Polar Lows
SAR images and Polar Lows Gunnar Noer, Birgitte Furevik, Johannes Röhrs Observing polar lows in 2012: AVHRR Polar orbiting satellite imagery Primary source of info Observations at cloud tops Synoptic observations
More informationValidation of 12.5 km Resolution Coastal Winds. Barry Vanhoff, COAS/OSU Funding by NASA/NOAA
Validation of 12.5 km Resolution Coastal Winds Barry Vanhoff, COAS/OSU Funding by NASA/NOAA Outline Part 1: Determining empirical land mask Characterizing σ 0 near coast Part 2: Wind retrieval using new
More informationAnalyses of Scatterometer and SAR Data at the University of Hamburg
Analyses of Scatterometer and SAR Data at the University of Hamburg Wind, Waves, Surface Films and Rain ГАДЕ, Мартин Хорстович (aka Martin Gade) Institut für Meereskunde, Universität Hamburg, Германия
More informationCombining wind and rain in spaceborne scatterometer observations: modeling the splash effects in the sea surface backscattering coefficient
Combining wind and rain in spaceborne scatterometer observations: modeling the splash effects in the sea surface backscattering coefficient F. Polverari (1,2,4), F. S. Marzano (1,2), L. Pulvirenti (3,1),
More informationEvaluation of the HY-2A Scatterometer wind quality
Evaluation of the HY-2A Scatterometer wind quality Wenming Lin, Marcos Portabella, Antonio Turiel ICM-CSIC Ad Stoffelen, Anton Verhoef KNMI Qingtao Song, Xingwei Jiang NOSAS Dudely B. Chelton OSU Typhoon
More informationTRMM TMI and AMSR-E Microwave SSTs
TMI and AMSR-E Microwave SSTs Chelle Gentemann, Frank Wentz, & Peter Ashcroft Gentemann@remss.com www.remss.com TMI/AMSR-E MW SST algorithm development Validation Results Sensor Issues Useful for Climate
More informationMISR CMVs. Roger Davies and Aaron Herber Physics Department
MISR CMVs Roger Davies and Aaron Herber Physics Department Acknowledgements: MISR Science and Data Processing Team (especially Catherine Moroney and Mike Garay) From the AGU Fall Meeting 2009 MISR and
More informationUsing several data sources for offshore wind resource assessment
Author manuscript, published in ", Copenhagen : Denmark (2005)" Ben Ticha M. B., Ranchin T., Wald L., Using several data sources for offshore wind resource assessment, 2005, Using several data sources
More informationHIGH RESOLUTION WIND RETRIEVAL FOR SEAWINDS ON QUIKSCAT. Jeremy B. Luke. A thesis submitted to the faculty of. Brigham Young University
HIGH RESOLUTION WIND RETRIEVAL FOR SEAWINDS ON QUIKSCAT by Jeremy B. Luke A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master
More informationStudy of an Objective Performance Measure for Spaceborne Wind Sensors
Final Report Study of an Objective Performance Measure for Spaceborne Wind Sensors Maria Belmonte Rivas Jos de Kloe Ad Stoffelen Weather Research Royal Netherlands Meteorological Institute De Bilt, November
More informationFlow separation and lee-waves in the marine atmosphere
Flow separation and lee-waves in the marine atmosphere Det norske Videnskabs-Akademi 16 Oct. 2009 Bjørn Gjevik Universitetet i Oslo epost: bjorng@math.uio.no Flow separation and lee-waves in the marine
More informationERS WAVE MISSION REPROCESSING- QC SUPPORT ENVISAT MISSION EXTENSION SUPPORT
REPORT 8/2011 ISBN 978-82-7492-248-8 ISSN 1890-5218 ERS WAVE MISSION REPROCESSING- QC SUPPORT ENVISAT MISSION EXTENSION SUPPORT - Annual Report 2010 Author (s): Harald Johnsen (Norut), Fabrice Collard
More informationThe emission and scattering of L-band microwave radiation from rough ocean surfaces and wind speed measurements from the Aquarius sensor
The emission and scattering of L-band microwave radiation from rough ocean surfaces and wind speed measurements from the Aquarius sensor Thomas Meissner, Frank J. Wentz and Lucrezia Ricciardulli Remote
More informationCHANGE OF THE BRIGHTNESS TEMPERATURE IN THE MICROWAVE REGION DUE TO THE RELATIVE WIND DIRECTION
JP4.12 CHANGE OF THE BRIGHTNESS TEMPERATURE IN THE MICROWAVE REGION DUE TO THE RELATIVE WIND DIRECTION Masanori Konda* Department of Geophysics, Graduate School of Science, Kyoto University, Japan Akira
More informationTHE SEAWINDS scatterometer was flown twice, once on
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Land-Contamination Compensation for QuikSCAT Near-Coastal Wind Retrieval Michael P. Owen and David G. Long, Fellow, IEEE Abstract The QuikSCAT scatterometer
More informationRice Yield And Dangue Haemorrhagic Fever(DHF) Condition depend upon Climate Data
Rice Yield And Dangue Haemorrhagic Fever(DHF) Condition depend upon Climate Data Dr Lai Lai Aung, Assistant Director( Met Service) Dr Khaing Khaing Soe Assistant Director(Public Health) Dr Thin Nwe htwe
More informationAn Atlas of Oceanic Internal Solitary Waves (February 2004) by Global Ocean Associates Prepared for Office of Naval Research Code 322 PO
Overview The is located in the North Atlantic Ocean between southern Ireland and southwest England (Figure 1). The Sea s western edge covers a continental shelf region characterized by rough and irregular
More informationSENSOR SYNERGY OF ACTIVE AND PASSIVE MICROWAVE INSTRUMENTS FOR OBSERVATIONS OF MARINE SURFACE WINDS
SENSOR SYNERGY OF ACTIVE AND PASSIVE MICROWAVE INSTRUMENTS FOR OBSERVATIONS OF MARINE SURFACE WINDS N. Ebuchi Institute of Low Temperature Science, Hokkaido University, N19-W8, Kita-ku, Sapporo 060-0819,
More informationSEA SURFACE TEMPERATURE RETRIEVAL USING TRMM MICROWAVE IMAGER SATELLITE DATA IN THE SOUTH CHINA SEA
SEA SURFACE TEMPERATURE RETRIEVAL USING TRMM MICROWAVE IMAGER SATELLITE DATA IN THE SOUTH CHINA SEA Mohd Ibrahim Seeni Mohd and Mohd Nadzri Md. Reba Faculty of Geoinformation Science and Engineering Universiti
More informationSeaWinds wind Climate Data Record validation report
Ocean and Sea Ice SAF Technical Note SAF/OSI/CDOP2/KNMI/TEC/RP/221 SeaWinds wind Climate Data Record validation report 25 and 50 km wind products (OSI-151) Anton Verhoef, Jur Vogelzang and Ad Stoffelen
More informationIMPROVED OIL SLICK IDENTIFICATION USING CMOD5 MODEL FOR WIND SPEED EVALUATION ON SAR IMAGES
IMPROVED OIL SLICK IDENTIFICATION USING CMOD5 MODEL FOR WIND SPEED EVALUATION ON SAR IMAGES H.KHENOUCHI & Y. SMARA University of Sciences and Technology Houari Boumediene (USTHB). Faculty of Electronics
More informationEvaluating the impact of ocean gravity wave variability on Aquarius satellite measurements. D. Vandemark, H. Feng Univ. of New Hampshire/EOS
Evaluating the impact of ocean gravity wave variability on Aquarius satellite measurements D. Vandemark, H. Feng Univ. of New Hampshire/EOS Global Wave model fields, Aquarius L2_wwav files*, Day 240-271
More informationWind Direction Analysis over the Ocean using SAR Imagery
Journal of Information & Computational Science 5: 1 (2008) 223-231 Available at http: www.joics.com Wind Direction Analysis over the Ocean using SAR Imagery Kaiguo Fan a,b,, Weigen Huang a, Mingxia He
More informationLONG TERM SITE WIND DATA ANNUAL REPORT. Mass Turnpike Authority Blandford, MA
LONG TERM SITE WIND DATA ANNUAL REPORT Mass Turnpike Authority Blandford, MA July 1, 2012 June 30, 2013 Prepared for Massachusetts Clean Energy Center 55 Summer Street, 9th Floor Boston, MA 02110 by Dylan
More informationWIND DATA REPORT. Paxton, MA
WIND DATA REPORT Paxton, MA July 1, 2011 September 30, 2011 Prepared for Massachusetts Clean Energy Center 55 Summer Street, 9th Floor Boston, MA 02110 by Eric Morgan James F. Manwell Anthony F. Ellis
More informationTHE QUALITY OF THE ASCAT 12.5 KM WIND PRODUCT
THE QUALITY OF THE ASCAT 12.5 KM WIND PRODUCT Jur Vogelzang, Ad Stoffelen, Maria Belmonte, Anton Verhoef, and Jeroen Verspeek Royal Netherlands Meteorological Institute, Wilhelminalaan 10, 3732 GK, De
More informationHigh Resolution Sea Surface Roughness and Wind Speed with Space Lidar (CALIPSO)
High Resolution Sea Surface Roughness and Wind Speed with Space Lidar (CALIPSO) Yongxiang Hu NASA Langley Research Center Carl Weimer Ball Aerospace Corp. 1 CALIPSO Mission Overview CALIPSO seeks to improve
More informationFeasibility of snow water equivalent retrieval by means of groundbased and spaceborne SAR interferometry
Feasibility of snow water equivalent retrieval by means of groundbased and spaceborne SAR interferometry, Helmut Rott, Markus Heidinger ENVEO, Innsbruck, Austria Guido Luzi, Giovanni Macaluso, Daniele
More informationOCEAN vector winds from the SeaWinds instrument have
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 6, NO. 3, JULY 2009 413 Coastal Validation of Ultra-High Resolution Wind Vector Retrieval From QuikSCAT in the Gulf of Maine A. M. Plagge, Student Member,
More informationOAFlux: global, 0.25, daily
Including ASCAT in OAFlux Global Vector Wind Analysis (1987 present) with programming support from Dr. Xiangze Jin July 1987 OAFlux: global, 0.25, daily QuikSCAT AMSRE SSMI (F08, F10, F11, F13, F14, F15,
More informationWind Regimes 1. 1 Wind Regimes
Wind Regimes 1 1 Wind Regimes The proper design of a wind turbine for a site requires an accurate characterization of the wind at the site where it will operate. This requires an understanding of the sources
More informationENVIRONMENTALLY ADAPTIVE SONAR
ENVIRONMENTALLY ADAPTIVE SONAR Ole J. Lorentzen a, Stig A. V. Synnes a, Martin S. Wiig a, Kyrre Glette b a Norwegian Defence Research Establishment (FFI), P.O. box 25, NO-2027 KJELLER, Norway b University
More informationSingularity analysis: A poweful technique for scatterometer wind data processing
Singularity analysis: A poweful technique for scatterometer wind data processing M. Portabella (ICM-CSIC) W. Lin (ICM-CSIC) A. Stoffelen (KNMI) A. Turiel (ICM-CSIC) G. King (ICM-CSIC) A. Verhoef (KNMI)
More informationWIND DATA REPORT. Mt. Tom
WIND DATA REPORT Mt. Tom September 1, 2003 November 31, 2003 Prepared for Massachusetts Technology Collaborative 7 North Drive Westborough, MA 0181 by James F. Manwell Anthony F. Ellis Taylor Geer January
More informationON THE USE OF DOPPLER SHIFT FOR SAR WIND RETRIEVAL
ON THE USE OF DOPPLER SHIFT FOR SAR WIND RETRIEVAL K-F. Dagestad 1, A. Mouche 2, F. Collard 2, M. W. Hansen 1 and J. Johannessen 1 (1) Nansen Environmental and Remote Censing Center, Thormohlens gt 47,
More informationWind Data Verification Report Arriga 50m
Page 1 of 11 Site Name Site Details 9531 - Arriga 5m Arriga 5m Date/Time of report generation 27/11/212 4:22 PM Site Number 9531 Mast Height 5m Mast Location 32568 E 811256 N Coordinate System UTM 55K
More informationSea-Bird Scientific Carol Janzen, Ph.D. Oceanography David Murphy, M.S.E.E. Dan Quittman, M.S.E.E.
Sea-Bird Scientific Carol Janzen, Ph.D. Oceanography David Murphy, M.S.E.E. Dan Quittman, M.S.E.E. Sea-Bird Scientific Sensor Offering Fundamental feature of each kind of sensing technology Pumping sensors
More informationWIND DATA REPORT. Mass Turnpike Authority Blandford, MA
WIND DATA REPORT Mass Turnpike Authority Blandford, MA April 2012 June 2012 Prepared for Massachusetts Clean Energy Center 55 Summer Street, 9th Floor Boston, MA 02110 by Preeti Verma James F. Manwell
More informationBias assessment of MODIS/MISR winds
Bias assessment of MODIS/MISR winds Feng Lu, Yixuan Shou, Xiaohu Zhang, Jianmin Xu Office of System Development, National Satellite Meteorological Center/CMA 13th International Winds Workshop (IWW13),
More informationLittle Spokane River Stream Gage Report: Deadman Creek, Dragoon Creek, and the West Branch of the Little Spokane River
Little Spokane River Stream Gage Report: Deadman Creek, Dragoon Creek, and the West Branch of the Little Spokane River June 2010 Spokane County Conservation District N. 210 Havana St. Spokane, WA 99202
More informationThe influence of ocean dynamics and climate changes on the Lemuru (Bali Sardinella) abundance in the Bali Strait, Indonesia
The influence of ocean dynamics and climate changes on the Lemuru (Bali Sardinella) abundance in the Bali Strait, Indonesia Mu>ara Rachmat Putri 1 Agus Se>awan 2 1 Research Group of Oceanography, Ins>tute
More informationAssessing the quality of Synthetic Aperture Radar (SAR) wind retrieval in coastal zones using multiple Lidars
Assessing the quality of Synthetic Aperture Radar (SAR) wind retrieval in coastal zones using multiple Lidars Tobias Ahsbahs Merete Badger, Ioanna Karagali, Xiaoli Larsen What is the coastal zone? Coastal
More informationValerijs Bezrukovs, Vladislavs Bezrukovs Ventspils University College Latvia. WREF2012 Denver, CO May 13-17, 2012
Valerijs Bezrukovs, Vladislavs Bezrukovs Ventspils University College Latvia WREF2012 Denver, CO May 13-17, 2012 Baltic countries 2 Currently rise of WPP development in Baltic countries. Attractive for
More informationJackie May* Mark Bourassa. * Current affilitation: QinetiQ-NA
Jackie May* Mark Bourassa * Current affilitation: QinetiQ-NA Background/Motivation In situ observations (ships and buoys) are used to validate satellite observations Problems with comparing data Sparseness
More informationInstitut Français pour la Recherche et l Exploitation de la MER
Institut Français pour la Recherche et l Exploitation de la MER Laboratoire d'océanographie Physique et Spatiale Satellites Interface Air- Mer June 2017 Document IFREMER/LOPS/Long Time Series Satellite
More informationGlobal Wind Speed Retrieval From SAR
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 41, NO. 10, OCTOBER 2003 2277 Global Wind Speed Retrieval From SAR Jochen Horstmann, Helmut Schiller, Johannes Schulz-Stellenfleth, and Susanne
More informationEnergy Output. Outline. Characterizing Wind Variability. Characterizing Wind Variability 3/7/2015. for Wind Power Management
Energy Output for Wind Power Management Spring 215 Variability in wind Distribution plotting Mean power of the wind Betz' law Power density Power curves The power coefficient Calculator guide The power
More informationWalker Circulation and El Niño / La Niña Sea Surface Temperature, Rainfall, and Zonal Wind
Walker Circulation and El Niño / La Niña Sea Surface Temperature, Rainfall, and Zonal Wind David Halpern NASA / California Institute of Technology Jet Propulsion Laboratory Pasadena, CA 91109, USA Contents
More informationJuly 2015 Sept Cork City Pedestrian Counter Report
July 2015 Sept 2015 Cork City Pedestrian Counter Report Disclaimer Cork City Council has produced this report based on information extracted from our Pedestrian Counter Monitoring System. Although care
More informationMAR DASHBOARD MAR. Compliant % Breakdown Mar % Late % On-time MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Positive Response Compliance 215 Compliant 215 Non-Compliant 216 Compliant 216 Non-Compliant 1% 87% 96% 86% 96% 88% 97% 89% 89% 88% 86% 92% 93% 94% 96% 94% 8% 6% 4% 2% 13% JAN 4% 14% FEB 4% 12% 3% 11%
More informationWIND DATA REPORT. Mass Turnpike Authority Blandford, MA
WIND DATA REPORT Mass Turnpike Authority Blandford, MA October 2011 December 2011 Prepared for Massachusetts Clean Energy Center 55 Summer Street, 9th Floor Boston, MA 02110 by Preeti Verma James F. Manwell
More informationCentral American Pacific Coast
Overview The Pacific coast of Central America extends approximately 3700 km from central Mexico (20 o N, 106 o W) to the edge of South America (7 o N, 78 o W). A significant continental shelf exists from
More informationAquarius Brings New Understanding to Tropical Instability Waves (TIWs)
Aquarius Brings New Understanding to Tropical Instability Waves (TIWs) Tong Lee1*, Gary Lagerloef2, Michelle M. Gierach1, Hsun-Ying Kao2, Simon Yueh1, Kathleen Dohan2 1NASA Jet Propulsion Laboratory, CalTech,
More informationAtlantic Sea Scallop Fishery. Fleet Dynamics of the. Paul Rago and Dvora Hart. Northeast Fisheries Science Center. National Marine Fisheries Service
Fleet Dynamics of the Atlantic Sea Scallop Fishery Paul Rago and Dvora Hart National Marine Fisheries Service Northeast Fisheries Science Center Woods Hole, MA 02543 Objectives of Presentation Describe
More informationUnderwater measurement of photosynthetically active radiation
Underwater measurement of photosynthetically active radiation Mark Blonquist, Damon Nitzel, and Bruce Bugbee Apogee Instruments, Inc., Logan, Utah Introduction Quantum sensors (photosynthetically active
More informationLONG TERM SITE WIND DATA ANNUAL REPORT. Paxton, MA
LONG TERM SITE WIND DATA ANNUAL REPORT Paxton, MA July 1, 2012 June 30, 2013 Prepared for Massachusetts Clean Energy Center Summer Street, 9th Floor Boston, MA 021 by Dylan D. Chase James F. Manwell Anthony
More informationFirst six months quality assessment of HY-2A SCAT wind products using in situ measurements
Acta Oceanol. Sin., 2013, Vol. 32, No. 11, P. 27-33 DOI: 10.1007/s13131-013-0374-5 http://www.hyxb.org.cn E-mail: hyxbe@263.net First six months quality assessment of HY-2A SCAT wind products using in
More informationCharacterization of ASCAT measurements based on buoy and QuikSCAT wind vector observations
Ocean Sci., 4, 265 274, 2008 Author(s) 2008. This work is distributed under the Creative Commons Attribution 3.0 License. Ocean Science Characterization of ASCAT measurements based on buoy and QuikSCAT
More informationSCIENTIFIC COMMITTEE SECOND REGULAR SESSION August 2006 Manila, Philippines
SCIENTIFIC COMMITTEE SECOND REGULAR SESSION 7-18 August 2006 Manila, Philippines MEASUREMENT-POINTS EXAMINATION OF CIRCLE HOOKS FOR PELAGIC LONGLINE FISHERY TO EVALUATE EFFECTS OF HOOK DESIGN WCPFC-SC2-2006/EB
More informationCharacterizing The Surf Zone With Ambient Noise Measurements
Characterizing The Surf Zone With Ambient Noise Measurements LONG-TERM GOAL Grant Deane Marine Physical Laboratory Scripps Institution of Oceanography La Jolla, CA 93093-0213 phone: (619) 534-0536 fax:
More informationEVALUATION OF ENVISAT ASAR WAVE MODE RETRIEVAL ALGORITHMS FOR SEA-STATE FORECASTING AND WAVE CLIMATE ASSESSMENT
EVALUATION OF ENVISAT ASAR WAVE MODE RETRIEVAL ALGORITHMS FOR SEA-STATE FORECASTING AND WAVE CLIMATE ASSESSMENT F.J. Melger ARGOSS, P.O. Box 61, 8335 ZH Vollenhove, the Netherlands, Email: info@argoss.nl
More informationAirborne Coherent Wind Lidar measurements of vertical and horizontal wind speeds for the investigation of gravity waves
Airborne Coherent Wind Lidar measurements of vertical and horizontal wind speeds for the investigation of gravity waves 18 th Coherent Laser Radar Conference, Boulder, CO, USA 27 June to 1 July 2016 Benjamin
More informationFirst of all, you should know that weather and climate are not the same thing.
First of all, you should know that weather and climate are not the same thing. WEATHER IS: Short term Limited area Can change rapidly Difficult to predict WEATHER is what s happening outside your window
More informationValidation of 12.5 km and Super-High Resolution (2-5 km)
Coastal and Orographic Wind Analyses from High Resolution QuikSCAT and SeaWinds Measurements M.H. Freilich, COAS/OSU D.B. Chelton, COAS/OSU D.G. Long, BYU Clive Dorman, SIO Barry Vanhoff, COAS/OSU OVWST
More informationWIM #36 MN 36 MP 15.0 LAKE ELMO APRIL 2014 MONTHLY REPORT
WIM #36 MN 36 MP 15.0 LAKE ELMO APRIL 2014 MONTHLY REPORT In order to understand the vehicle classes and groupings, the MnDOT Vehicle Classification Scheme and the Vehicle Class Groupings for Forecasting
More informationASCAT Level 2 Soil Moisture Reprocessing Phase 1 - Dataset Description
ASCAT Level 2 Soil Moisture Reprocessing Phase 1 - Dataset Description Doc.No. : Issue : v3 Date : 4 November 2009 WBS : EUMETSAT Eumetsat-Allee 1, D-64295 Darmstadt, Germany Tel: +49 6151 807-7 Fax: +49
More informationWIND DATA REPORT. Bourne Water District
WIND DATA REPORT Bourne Water District July to September 2010 Prepared for Massachusetts Clean Energy Center 55 Summer Street, 9th Floor Boston, MA 02110 by Dylan Chase James F. Manwell Utama Abdulwahid
More informationBOTTOM MAPPING WITH EM1002 /EM300 /TOPAS Calibration of the Simrad EM300 and EM1002 Multibeam Echo Sounders in the Langryggene calibration area.
BOTTOM MAPPING WITH EM1002 /EM300 /TOPAS Calibration of the Simrad EM300 and EM1002 Multibeam Echo Sounders in the Langryggene calibration area. by Igor Kazantsev Haflidi Haflidason Asgeir Steinsland Introduction
More informationI certify that the information contained in the following pages is correct to the best of my knowledge.
CERTIFICATION Specific dates of summary: July 1, 2017 June 30, 2018 I certify that the information contained in the following pages is correct to the best of my knowledge. PREPARED BY: DATE: August 15,
More informationImprints of Coastal Mountains on Ocean Circulation and Variability
Imprints of Coastal Mountains on Ocean Circulation and Variability Shang-Ping Xie 1 with C.-H. Chang 1, W. Zhuang 2, N. Schneider 1, J. Small 3, B. Taguchi 4, and H. Sasaki 4 1 IPRC, University of Hawaii
More informationAdvancements in scatterometer wind processing
Advancements in scatterometer wind processing Ad.Stoffelen@knmi.nl Marcos Portabella Anton Verhoef Jeroen Verspeek Jur Vogelzang scat@knmi.nl www.knmi.nl/scatterometer Scatterometer work The scatterometer
More informationValidation of long-range scanning lidars deployed around the Høvsøre Test Station
Downloaded from orbit.dtu.dk on: Dec 18, 2017 Validation of long-range scanning lidars deployed around the Høvsøre Test Station Lea, Guillaume; Courtney, Michael Publication date: 2016 Link back to DTU
More informationLONG TERM SITE WIND DATA ANNUAL REPORT. Bishop & Clerks
LONG TERM SITE WIND DATA ANNUAL REPORT Bishop & Clerks July 1, 2012 June 30, 2013 Prepared for Massachusetts Clean Energy Center 55 Summer Street, 9th Floor Boston, MA 02110 by Frederick Letson James F.
More informationLevel MEASUREMENT 1/2016
Level MEASUREMENT 1/2016 AGENDA 2 A. Introduction B. Float method C. Displacer method D. Hydrostatic pressure method E. Capacitance method G. Ultrasonic method H. Radar method I. Laser method J. Level
More information