SMAP Radiometer-Only Tropical Cyclone Size and Strength
|
|
- Godfrey Welch
- 5 years ago
- Views:
Transcription
1 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 InsCtute of Technology, Government Sponsorship acknowledged
2 SMAP Overview 6 m antenna Radiometer resolucon: 4 km Primary Science Objec/ves Global, high-resolucon mapping of soil moisture and its freeze/ thaw state to Link terrestrial water, energy, and carbon-cycle processes EsCmate global water and energy fluxes at the land surface QuanCfy net carbon flux in boreal landscapes Extend weather and climate forecast skill Develop improved flood and drought prediccon capability Mission Implementa/on Partners JPL (project & payload management, science, spacecraft, radar, mission operations, science processing) GSFC (science, radiometer, science processing) Launch January 31, 2 on Delta 732-1C Launch System Orbit Polar Sun-synchronous; 685 km altitude Duration 3 years Payload L-band (non-imaging) synthetic aperture radar (JPL) L-band radiometer (GSFC) Shared 6-m rotating (13 to 14.6 rpm) antenna (JPL) h"p://smap.jpl.nasa.gov/ NRC Earth Science Decadal Survey (27) recommended SMAP as a Tier 1 mission
3 SFMR vs SMAP for Ignacio at :53:5 SFMR vs SMAP for Ignacio at :53: SFMR SPD 5km SFMR SPD 4 km SMAP SPD SFMR RR 5 km SFMR RR 4 km Wind Speed [m/s] Rain Rate [mm/hr] : 2: 3: 4: 5: 6:
4 SFMR Matchups for SFMR > 2 m/s SFMR > m/s DTime Counts Bias STD Corr Counts Bias STD Corr Average SFMR along-track to 6 km, pick point of nearest approach to SMAP cell. Use best-track to shic SFMR tracks to SMAP observacon Cme.
5 SMAP Wind Speed [m/s] SMAP vs SFMR; Best Fit Slope:.96; Corr:.81 Mean Pct Error > m/s: SMAP Best Fit 1:1 36 min matchup Cme SFMR Wind Speed [m/s]
6 SMAP Wind Radii We validate against the ATCF B-deck datasets. For each SMAP cyclone hit: Compute contours at (34, 5, 64) knot wind thresholds. Extract longest contour in each compass quadrant and compute the 9% threshold value.
7 Wind Radii Results SMAP wind radii are in reasonable agreement with ATCF B-deck radii: ATCF wind radii escmates have ~ 2-4% error. Good correlacon to ATCF radii. SMAP relacvely unbiased. SMAP Wind Radii [km] kt 5kt 64kt SMAP wind radii versus NHC wind radii Counts SMAP wind radii versus NHC wind radii 34 kt; Median:.4; CDF68: 42.14; CORR:.86 5 kt; Median: 1.63; CDF68: 24.99; CORR: kt; Median: 8.96; CDF68: 21.63; CORR: NHC Wind Radii [km] SMAP RXX NHC RXX [km]
8 Summary Using SFMR we find good agreement to about 4 ms -1 PosiCve bias between 3-4 ms -1 no larger than 3 ms -1 Overall STD as compared to SFMR is on the order of 4 ms -1 for wind speeds larger than ms -1 Comparisons to ATCF B-deck datasets shows SMAP provides reasonably unbiased size escmates with good correlacon to ATCF values. Overall, SMAP can provide valuable informacon on Tropical Cyclone size and averaged intensity. Peer-reviewed publicacons: S. H. Yueh et al., "SMAP L-Band Passive Microwave ObservaCons of Ocean Surface Wind During Severe Storms," in IEEE TransacCons on Geoscience and Remote Sensing, vol. 54, no. 12, pp , Dec A. G. Fore, et al., "Combined AcCve/Passive Retrievals of Ocean Vector Wind and Sea Surface Salinity With SMAP," in IEEE TransacCons on Geoscience and Remote Sensing, vol. 54, no. 12, pp , Dec N. Reul, et al., A new generate of Tropical Cyclone Size measurements from space, in BAMS, Early release (online) /BAMS-D
9 SFMR vs SMAP for PATRICIA at :1:13 21 SFMR SPD 5km SFMR SPD 4 km SMAP SPD SFMR RR 5 km SFMR RR 4 km SFMR vs SMAP for PATRICIA at :1: Wind Speed [m/s] Rain Rate [mm/hr] :3 17: 17:3 18: 18:3 19: 19:3
10 From SFMR stat plot 36 minutes / 6 km avg SFMR Wind Speed Bin Bias STD Counts n/a
11 Shic SFMR tracks using best-track (Cme, locacon) to SMAP Cme IdenCfy closest points of approach to SWC; may be mulcple SFMR Track For each closest point of approach: Average SFMR along-track to 6 km centered on that point Keep if closer than 12.5 km and Cme offset less than 36 min 6 km SMAP SWCs 6 km Closest points of approach to SWC center km SWC spacing
12 SMAP / RapidScat / WindSat collocacons (3m) Only extract joint collocacons within 3 minutes of SMAP. 3.7 million matchups. Use WindSat to remove rainy observacons. Find nearly zero speed bias up to 26 m/s, not enough data past that. 2d histogram does not show any trend of increasing SMAP speed bias as compared to RapidScat Speed Error [m/s] SMAP/RapidScat Wind Speed Matchups WindSat / SSMI/S indicate no rain; Within: 3 minutes Speed Bias Speed STD Mean of SMAP/RapidScat Wind Speed [m/s] SMAP Wind Speed [m/s] D Histogram of SMAP/RS wind Speeds [db Counts] Within: 3 minutes; total RapidScat Wind Speed [m/s]
13 SMAP / RapidScat / WindSat collocacons (9m) Same as previous with 9 minute collocacon Cme. 13 million matchups. Find very small speed bias up to 3 m/s (order 1 m/s). 2d histogram show data distributed near 1:1 line, no evidence of large posicve SMAP bias near 3 m/s as compared to RapidScat. Speed Error [m/s] SMAP/RapidScat Wind Speed Matchups WindSat / SSMI/S indicate no rain; Within: 9 minutes Speed Bias Speed STD Mean of SMAP/RapidScat Wind Speed [m/s] SMAP Wind Speed [m/s] D Histogram of SMAP/RS wind Speeds [db Counts] Within: 9 minutes; total RapidScat Wind Speed [m/s]
14 SMAP TB Wind Speed Averaged SFMR Wind Speed [m/s] Wind Speed bias versus SFMR rain rate (SFMR spd > 2 m/s) Insufficient data 6 SFMR 6 km average 8 SFMR > 2 m/s Match-up Cme within 36 min Averaged SFMR Rain Rate [mm/hr]
15 j+1 L2A Gridding Mean Number of L1B TBs per SWC Mean Number of L1B TBs per look in a SWC H/Fore H/Aft V/Fore V/Aft 2 j Cross Track Index j-1 km i-1 i i+1 Aggregate NEDT By Flavor Aggregate NEDT By Flavor H/Fore H/Aft V/Fore V/Aft Cross Track Index
Aquarius / 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 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 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 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 informationAquarius Sca+erometer Calibra3on
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 Aquarius
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 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 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 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 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 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 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 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 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 informationImpact of the loss of QuikSCAT on National Hurricane Center operations: Current mitigation efforts and future plans
Impact of the loss of QuikSCAT on National Hurricane Center operations: Current mitigation efforts and future plans Rick Danielson1 and Mike Brennan NOAA/NWS/NCEP National Hurricane Center 1 UCAR visiting
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 informationThe RSS WindSat Version 7 All-Weather Wind Vector Product
2010 International Ocean Vector Winds Meeting Barcelona, Spain May 18 20, 2010 The RSS WindSat Version 7 All-Weather Wind Vector Product Thomas Meissner Lucrezia Ricciardulli Frank Wentz Outline 1. Overview:
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 informationWindSat Applications for Weather Forecasters and Data Assimilation
WindSat Applications for Weather Forecasters and Data Assimilation Thomas Lee, James Goerss, Jeffrey Hawkins, Joseph Turk Naval Research Laboratory 7 Grace Hopper Avenue Monterey CA Zorana Jelenak, Paul
More informationThe Cross-Calibrated Multi-Platform (CCMP) Ocean Vector Wind Analysis (V2.0)
The Cross-Calibrated Multi-Platform (CCMP) Ocean Vector Wind Analysis (V2.0) Carl A. Mears, L. Ricciardulli, J. Scott and F. J. Wentz Remote Sensing Systems Ross Hoffman, S. Mark Leidner Robert Atlas Atmospheric
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 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 informationDeborah K. Smith, Frank J. Wentz, and Carl A. Mears Remote Sensing Systems
JP 4.9 RESULTS OF QUIKSCAT HIGH WIND DATA VALIDATION Deborah K. Smith, Frank J. Wentz, and Carl A. Mears Remote Sensing Systems ABSTRACT Traditional validation of satellite-derived winds includes comparison
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 informationJET PROPULSION LABORATORY INTEROFFICE MEMORANDUM
JET PROPULSION LABORATORY INTEROFFICE MEMORANDUM 3348-99-008 June 16, 1999 To: From: CC: Subject: Philip S. Callahan Young-Joon Kim SAPIENT, SVT Validation of the NOAA Processor through a comparison with
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 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 informationSynthetic Aperture Radar imaging of Polar Lows
Oslo Polar Low workshop 21-22 May 2012 Extended abstract Synthetic Aperture Radar imaging of Polar Lows Birgitte Furevik, Gunnar Noer and Johannes Röhrs met.no Forecasting polar lows is to a large degree
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 informationCoastal Scatterometer Winds Working Group
Coastal Scatterometer Winds Working Group IOVWST Meeting 2015 Portland, Oregon, USA Melanie Fewings Julia Figa Saldaña Bryan Stiles Steve Morey Dmitry Dukhovskoy Larry O Neill if you want to be added to
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 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 informationPreparation of the ADM-Aeolus mission using 355nm high spectral resolution Doppler LIDAR and a Doppler cloud radar
Preparation of the ADM-Aeolus mission using 355nm high spectral resolution Doppler LIDAR and a Doppler cloud radar Abdanour Irbah*, Jacques Pelon*, Julien Delanoë*, Gwendal Rivière +, Didier Bruneau*,
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 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 informationWINDSAT is a conically scanning polar-orbiting multifrequency
164 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 1, JANUARY 2006 A Statistical Approach to WindSat Ocean Surface Wind Vector Retrieval Craig K. Smith, Member, IEEE, Michael Bettenhausen, Member,
More informationStatus report on the current and future satellite systems by CMA. Presented to CGMS45-CMA-WP-01, Plenary session, agenda item D.1
Status report on the current and future satellite systems by CMA Presented to CGMS45-CMA-WP-01, Plenary session, agenda item D.1 Overview - Planning of CMA satellite systems FengYun Meteorological Satellites
More informationTowards a consolidated wind reference for assessing scatterometer high and extreme-force wind capabilities
Towards a consolidated wind reference for assessing scatterometer high and extreme-force wind capabilities Federica Polverari1, Wenming Lin2, Joe Sapp3, Marcos Portabella1, Ad Stoffelen4, Alexis Mouche5,
More informationField assessment of ocean wind stress derived from active and passive microwave sensors
Field assessment of ocean wind stress derived from active and passive microwave sensors Doug Vandemark, Marc Emond (UNH) Jim Edson (UCONN) Bertrand Chapron (IFREMER) Motivations Are there 1 st or 2 nd
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 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 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 informationKen Knapp et al. 8th IWTC, Jeju, Korea 4 Dec
Ken Knapp et al. 8 th IWTC, Jeju, Korea 4 Dec. 2014 1 Reviewed current status and plans for IBTrACS An understanding of the vast uses of best track data A plan for reaching the goal of a singular, uniform,
More informationImpact of Climate Change on Dutchess County
Impact of Climate Change on Dutchess County Vicky Kelly Cary Institute of Ecosystem Studies Marist College Center for Lifetime Study The Impact of the Hudson River on American History and Culture October
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 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 informationCOMPARISON OF CONTEMPORANEOUS WAVE MEASUREMENTS WITH A SAAB WAVERADAR REX AND A DATAWELL DIRECTIONAL WAVERIDER BUOY
COMPARISON OF CONTEMPORANEOUS WAVE MEASUREMENTS WITH A SAAB WAVERADAR REX AND A DATAWELL DIRECTIONAL WAVERIDER BUOY Scott Noreika, Mark Beardsley, Lulu Lodder, Sarah Brown and David Duncalf rpsmetocean.com
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 informationWeather Unit Study Guide
Weather Unit Study Guide - 2018 Weather vs Climate What does weather measure? The condition of the earth's atmosphere at a particular time and place. How are climate and weather different? Climate is the
More informationSurface Wind Speed Distributions: Implications for Climate and Wind Power
Surface Wind Speed Distributions: Implications for Climate and Wind Power Scott B. Capps and Charles S. Zender Department of Earth System Science University of California, Irvine Thanks: W. Liu (JPL),
More informationThe Effects of Gap Wind Induced Vorticity, the ITCZ, and Monsoon Trough on Tropical Cyclogenesis
The Effects of Gap Wind Induced Vorticity, the ITCZ, and Monsoon Trough on Tropical Cyclogenesis Heather M. Holbach and Mark A. Bourassa Center for Ocean-Atmospheric Prediction Studies Department of Earth,
More information3 Global Winds and Local Winds
CHAPTER 15 3 Global Winds and Local Winds SECTION The Atmosphere BEFORE YOU READ After you read this section, you should be able to answer these questions: What causes wind? What is the Coriolis effect?
More informationClimate depends on: - the amount of energy received from the sun - what happens to this energy once it reaches Earth's atmosphere
Sea, Sky and Land: The Climate Connection Oceans and Heat Daily Variations - Sea and Land Breezes Seasonal Variations - Monsoons Reading: Ch 6: 6.3-6.5, 6.11-6.13; Ch 8: 8.12-8.13; Ch 9: 9.9 Graphic: Bergy
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 informationThe atmospheric circulation system
The atmospheric circulation system Key questions Why does the air move? Are the movements of the winds random across the surface of the Earth, or do they follow regular patterns? What implications do these
More informationOcean Waves and Surf Forecasting: Wave Climate and Forecasting
Overview Ocean Waves and Surf Forecasting: Wave Climate and Forecasting Ocean regions Characterizing and describing ocean waves Wave theory, propagation, and dispersion Refraction, shadowing, and bathymetry
More informationTHE ATMOSPHERE. WEATHER and CLIMATE. The Atmosphere 10/12/2018 R E M I N D E R S. PART II: People and their. weather. climate?
R E M I N D E R S Two required essays are due by Oct. 30, 2018. (A third may be used for extra credit in place of a Think Geographically essay.) ESSAY TOPICS (choose any two): Contributions of a noted
More informationFar Eastern Pacific Fresh Pool surface salinity variability observed by SMOS and Aquarius sensors over. the period
Far Eastern Pacific Fresh Pool surface salinity variability observed by SMOS and Aquarius sensors over Nicolas Reul 1, Gael Alory 2, Christophe Maes 3, Serena Illig 3 and Bertrand Chapron 1 1 IFREMER,
More informationWinds and Ocean Circulations
Winds and Ocean Circulations AT 351 Lab 5 February 20, 2008 Sea Surface Temperatures 1 Temperature Structure of the Ocean Ocean Currents 2 What causes ocean circulation? The direction of most ocean currents
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 informationThe Wave Glider: A Mobile Buoy Concept for Ocean Science. 009 Liquid Robotics Inc.
The Wave Glider: A Mobile Buoy Concept for Ocean Science 009 Liquid Robotics Inc. J. Manley & T. Richardson: Liquid Robotics Inc. DBCP XXV Paris September 28, 2009 1 Wave Glider Overview Unique Two Part
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 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 information8A.4 OBSERVATIONS OF GULF OF TEHUANTEPEC GAP WIND EVENTS FROM QUIKSCAT: AN UPDATED EVENT CLIMATOLOGY AND OPERATIONAL MODEL EVALUATION
8A.4 OBSERVATIONS OF GULF OF TEHUANTEPEC GAP WIND EVENTS FROM QUIKSCAT: AN UPDATED EVENT CLIMATOLOGY AND OPERATIONAL MODEL EVALUATION Michael J. Brennan*, Hugh D. Cobb, III, and Richard D. Knabb NOAA/NWS/NCEP/National
More informationAssessing the Accuracy of High Spatial Resolution Effort Data
Assessing the Accuracy of High Spatial Resolution Effort Data Southwest Fisheries Science Center, Ecology Division Comparing VMS and Logbook Data in the California Groundfish Trawl Fishery Alice Thomas-Smyth,
More informationUnderstanding the Role of Water Vapor Transport Anomalies in Asian and African Monsoon Droughts Using New Satellite Observations
Understanding the Role of Water Vapor Transport Anomalies in Asian and African Monsoon Droughts Using New Satellite Observations Chris Funk, USGS EROS, UCSB CHG NASA PMM meeting, Salt Lake City, Oct. 27
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 informationSea Surface Temperature (SST) in South China Sea Retrieved from Chinese Satellite FY-3B VIRR Data
Sea Surface Temperature (SST) in South China Sea Retrieved from Chinese Satellite FY-3B VIRR Data Chuqun CHEN*, Quanjun HE, Shilin TANG, Haibin YE State key Lab of Tropical Oceanography, South China Sea
More informationGlobal Ice and Land Climate Studies Using Scatterometer Image Data
Global Ice and Land Climate Studies Using Scatterometer Image Data David G. Long Brigham Young University 459 Clyde Building Provo UT 84601 long@byu.edu Mark R. Drinkwater European Space Agency ESTEC,
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 informationCorrection of the Effect of Relative Wind Direction on Wind Speed Derived by Advanced Microwave Scanning Radiometer
Journal of Oceanography, Vol., pp. 39 to, Correction of the Effect of Relative Wind Direction on Wind Speed Derived by Advanced Microwave Scanning Radiometer MASANORI KONDA 1 *, AKIRA SHIBATA, NAOTO EBUCHI
More informationAssessment and Analysis of QuikSCAT Vector Wind Products for the Gulf of Mexico: A Long-Term and Hurricane Analysis
Sensors 2008, 8, 1927-1949 sensors ISSN 1424-8220 2008 by MDPI www.mdpi.org/sensors Full Research Paper Assessment and Analysis of QuikSCAT Vector Wind Products for the Gulf of Mexico: A Long-Term and
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 informationOrbiter* Architecting Software Across International Partnerships. Jason LaPointe December 10 th, 2010
ExoMars/Trace Gas Orbiter* Architecting Software Across International Partnerships Jason LaPointe December 10 th, 2010 Jet Propulsion Laboratory California Institute of Technology Pasadena, CA 2010 Workshop
More informationBeach Wizard: Development of an Operational Nowcast, Short-Term Forecast System for Nearshore Hydrodynamics and Bathymetric Evolution
Beach Wizard: Development of an Operational Nowcast, Short-Term Forecast System for Nearshore Hydrodynamics and Bathymetric Evolution Ad Reniers Civil Engineering and Geosciences, Delft University of Technology
More informationLecture 13 El Niño/La Niña Ocean-Atmosphere Interaction. Idealized 3-Cell Model of Wind Patterns on a Rotating Earth. Previous Lecture!
Lecture 13 El Niño/La Niña Ocean-Atmosphere Interaction Previous Lecture! Global Winds General Circulation of winds at the surface and aloft Polar Jet Stream Subtropical Jet Stream Monsoons 1 2 Radiation
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 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 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 informationCyclone Hazards: waves and storm tide
Cyclone Hazards: waves and storm tide 1/32 HIGH WAVES TORRENTIAL RAIN (FLOODING) SURGE ON COAST AT CROSSING GALE FORCE WINDS 2/32 Waves and Swell MetEd Comet Program Wind and Wave forecasting https://www.meted.ucar.edu/training_course.php?id=8
More information3 Global Winds and Local Winds
CHAPTER 6 3 Global Winds and Local Winds SECTION The Atmosphere BEFORE YOU READ After you read this section, you should be able to answer these questions: What causes wind? What is the Coriolis effect?
More informationPhysical Geography. Physical Geography III of the United States and Canada. Formation of Great Lakes. Climates of North America. Definitions 2/21/2013
Physical Geography III of the United States and Canada Ancient Glacial Lakes As the Ice Age ended, areas of North America beyond the terminal moraine were flooded with melt water Prof Anthony Grande AFG
More informationBuckland Wind Resource Report
Buckland Wind Resource Report By: Douglas Vaught, P.E., V3 Energy LLC, Eagle River, Alaska Date: September 17, 2010 Buckland met tower; D. Vaught photo Contents Summary... 2 Test Site Location... 2 Photographs...
More informationEvaluation of the Klein HydroChart 3500 Interferometric Bathymetry Sonar for NOAA Sea Floor Mapping
Evaluation of the Klein HydroChart 3500 Interferometric Bathymetry Sonar for NOAA Sea Floor Mapping Yuhui Ai, Straud Armstrong and Dean Fleury L-3 Communications Klein Associates, Inc. 11 Klein Dr. Salem,
More informationConstraining a global, eddying, ocean and sea ice model with scatterometer data
Constraining a global, eddying, ocean and sea ice model with scatterometer data D. Menemenlis, H. Zhang, D. Moroni, and S. Hristova-Veleva IOVWST, Utrecht, Netherlands, 13 June 2012 QuikSCAT GRACE =? Jason
More informationSystematic Errors in the Hydrographic Data and Their Effect on Global Heat Content Calculations
Systematic Errors in the Hydrographic Data and Their Effect on Global Heat Content Calculations Titelmasterformat durch Klicken bearbeiten Viktor Gouretski KlimaCampus, University of Hamburg Frascati,
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 informationADVANCES ON WIND ENERGY RESOURCE MAPPING FROM SAR
ADVANCES ON WIND ENERGY RESOURCE MAPPING FROM SAR C.B. Hasager, M. Nielsen, M.B. Christiansen, R. Barthelmie, P. Astrup Risoe National Laboratory, Wind Energy Department, Frederiksborgvej 399, DK-4000
More informationOPERATIONAL AMV PRODUCTS DERIVED WITH METEOSAT-6 RAPID SCAN DATA. Arthur de Smet. EUMETSAT, Am Kavalleriesand 31, D Darmstadt, Germany ABSTRACT
OPERATIONAL AMV PRODUCTS DERIVED WITH METEOSAT-6 RAPID SCAN DATA Arthur de Smet EUMETSAT, Am Kavalleriesand 31, D-64295 Darmstadt, Germany ABSTRACT EUMETSAT started its Rapid Scanning Service on September
More informationOBSERVATION OF HURRICANE WINDS USING SYNTHETIC APERTURE RADAR
OBSERVATION OF HURRICANE WINDS USING SYNTHETIC APERTURE RADAR Jochen Horstmann 1, Wolfgang Koch 1,DonaldR.Thompson 2, and Hans C. Graber 3 1 Institute for Coastal Research, GKSS Research Center, Geesthacht,
More informationWave Glider: Liege Colloquium. Colloquium April 27
The The Wave Wave Glider: Glider: Enabling Enabling aa New New Approach Approach to to Persistent Persistent Ocean Ocean Observation Observation and and Research Research nd Liege 42 42nd Liege Colloquium
More informationThe potential of QuikSCAT and WindSat observations for the estimation of sea surface wind vector under severe weather conditions
Click Here for Full Article JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112,, doi:10.1029/2007jc004163, 2007 The potential of QuikSCAT and WindSat observations for the estimation of sea surface wind vector under
More information3/22/11. General Circulation of the Atmosphere. General Circulation of the Atmosphere
Chapter 10 General refers to the average air flow, actual winds will vary considerably. Average conditions help identify driving forces. The basic cause of the general circulation is unequal heating of
More informationAnalysis of Traditional Yaw Measurements
Analysis of Traditional Yaw Measurements Curiosity is the very basis of education and if you tell me that curiosity killed the cat, I say only the cat died nobly. Arnold Edinborough Limitations of Post-
More informationGROWING SEASON TEMPERATURES
Ag-Weather Update: Review of Summer Growing Season & Update on the Wet Forecast for Fall & Winter Paul W. Brown Extension Specialist, Biometeorology College of Agriculture & Life Sciences University of
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 informationLand and sea breezes are an example of which type of heat transfer?
TEST #7 REVIEW Land and sea breezes are an example of which type of heat transfer? Land and sea breezes are an example of which type of heat transfer? convection The diagram above represents what? The
More informationJ4.2 AUTOMATED DETECTION OF GAP WIND AND OCEAN UPWELLING EVENTS IN CENTRAL AMERICAN GULF REGIONS
J4.2 AUTOMATED DETECTION OF GAP WIND AND OCEAN UPWELLING EVENTS IN CENTRAL AMERICAN GULF REGIONS Xiang Li*, University of Alabama in Huntsville Huntsville, AL D. K. Smith Remote Sensing Systems Santa Rosa,
More information