GFO Cal/Val Meeting Silver Spring, Md 12 June 2001 J. McMillan Software Process Engineering Consulting Services.

Slides:



Advertisements
Similar presentations
OVERVIEW OF THE IMPROVEMENTS MADE ON THE EMPIRICAL DETERMINATION OF THE SEA STATE BIAS CORRECTION S. Labroue, P. Gaspar, J. Dorandeu, F. Mertz, N. Tran,
Advertisements

Retracking & SSB Splinter OSTST ‘07 Retracking and SSB Splinter Report Juliette Lambin and Phil Callahan March 14, 2007 Hobart, Tasmania.
Experimental Results from “BigAnt”, a Large Format Antenna for High Quality Geodetic Ground Stations Gerald Mader National Geodetic Survey (NGS) Silver.
Colorado Center for Astrodynamics Research The University of Colorado ASEN 5070 OD Accuracy Assessment OD Overlap Example Effects of eliminating parameters.
Project Mangement Chapter 4 Framework for Project Management.
1 High resolution SST products for 2001 Satellite SST products and coverage In situ observations, coverage Quality control procedures Satellite error statistics.
Coastal Altimetry Workshop February 5-7, 2008 Organized by: Laury Miller, Walter Smith: NOAA/NESDIS Ted Strub, Amy Vandehey: CIOSS/COAS/OSU With help from.
GFO RADAR ALTIMETER PERFORMANCE July 2000 George S. Hayne/David W. Hancock III NASA GSFC/Wallops Flight Facility, Code 972 Contributors:Dennis W. Lockwood,
Page 1 Singular Value Decomposition applied on altimeter waveforms P. Thibaut, J.C.Poisson, A.Ollivier : CLS – Toulouse - France F.Boy, N.Picot : CNES.
POD/Geoid Splinter Summary OSTS Meeting, Hobart 2007.
Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Remko Scharroo, Altimetrics LLC, Cornish, New Hampshire with.
Managing Project Risk.
Dynamic Planet 2005 Cairns, Australia August 2005
This work is licensed under a Creative Commons Attribution 3.0 Unported LicenseCreative Commons Attribution 3.0 Unported License (CC-BY). Project Management.
Stoimen Stoimenov QA Engineer QA Engineer SitefinityLeads,SitefinityTeam6 Telerik QA Academy Telerik QA Academy.
1 Improved Sea Surface Temperature (SST) Analyses for Climate NOAA’s National Climatic Data Center Asheville, NC Thomas M. Smith Richard W. Reynolds Kenneth.
1 NOAA’s National Climatic Data Center April 2005 Climate Observation Program Blended SST Analysis Changes and Implications for the Buoy Network 1.Plans.
The ESA NRT River&Lake System J.L. Wheeler P.A.M. Berry R.G. Smith J.L. Wheeler P.A.M. Berry R.G. Smith.
ICESat TM 04/21/20031 MIT Activities Two main areas of activity: –Validation of atmospheric delays being computed for ICESat –Assessment of statistics.
Institut für Erdmessung (IfE), Leibniz Universität Hannover, Germany Quality Assessment of GOCE Gradients Phillip Brieden, Jürgen Müller living planet.
Global NDVI Data for Climate Studies Compton Tucker NASA/Goddard Space Fight Center Greenbelt, Maryland
1 Assessment of Geoid Models off Western Australia Using In-Situ Measurements X. Deng School of Engineering, The University of Newcastle, Australia R.
OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Active Microwave Radar.
Satellite Altimetry - possibilities and limitations
Centro de Estudos e Sistemas Avançados do Recife PMBOK - Chapter 11 Project Risk Management.
MODIS-Based Techniques for Assessing of Fire Location and Timing in the Alaskan Boreal Forest Nancy H.F. French 1, Lucas Spaete 1, Elizabeth Hoy 2, Amber.
TEMPLATE DESIGN © Assessing the Potential of the AIRS Retrieved Surface Temperature for 6-Hour Average Temperature Forecast.
Non contact acquisition of sonic emissions of bearings Assoc. Prof.: Kiril M. Alexiev, Petia D. Koprinkova-Hristova; Dr.: Vladislav V. Ivanov, Volodymyr.
Sea Level Change Measurements: Estimates from Altimeters Understanding Sea Level Rise and Variability June 6-9, 2006 Paris, France R. S. Nerem, University.
MODIS Sea-Surface Temperatures for GHRSST-PP Robert H. Evans & Peter J. Minnett Otis Brown, Erica Key, Goshka Szczodrak, Kay Kilpatrick, Warner Baringer,
Improving engineering productivity APEGGA. Improving Productivity Mega Projects  History  What is needed  How will it be done  Division of Labour.
Regional climate prediction comparisons via statistical upscaling and downscaling Peter Guttorp University of Washington Norwegian Computing Center
A Comparison of the Northern American Regional Reanalysis (NARR) to an Ensemble of Analyses Including CFSR Wesley Ebisuzaki 1, Fedor Mesinger 2, Li Zhang.
SIGNAL DETECTION IN FIXED PATTERN CHROMATIC NOISE 1 A. J. Ahumada, Jr., 2 W. K. Krebs 1 NASA Ames Research Center; 2 Naval Postgraduate School, Monterey,
Estimates of Global Sea Level Rise from Tide Gauges Sea level trend,
1 J July, Ionospheric Calibration for the GFO AltimeterXiaoqing JPL Review Ionospheric Calibration for the GFO Altimeter Xiaoqing Pi Byron.
Philip Moore Jiasong Wang School of Civil Engineering and Geosciences University of Newcastle upon Tyne Newcastle upon Tyne NE1 7RU
OSTST Hobart 2007 – Performance assessment Jason-1 data M.Ablain, S.Philipps, J.Dorandeu, - CLS N.Picot - CNES Jason-1 GDR data Performance assessment.
Ch 91 IT-390Cost Analysis. 2 Project Estimating (Design) l A Project Estimate is one of a kind n Custom design, only one will be manufactured n Capital.
VIPER Quality Assessment Overview Presenter: Sathyadev Ramachandran, SPS Inc.
GEOSAT Follow-On (GFO) Radar Altimeter Satellite
Numerical aspects of the omission errors due to limited grid size in geoid computations Yan Ming Wang National Geodetic Survey, USA VII Hotine-Marussi.
The Road to RL05 Srinivas Bettadpur for the UTCSR GRACE Team.
Andrew Heidinger and Michael Pavolonis
Altimetry for coastal oceanography in Australia -an assessment of PISTACH David Griffin, Madeleine Cahill, Jim Mansbridge, Neil White.
Improved Satellite Altimeter data dedicated to coastal areas :
Estimating surface elevation changes on WAIS from GLAS altimetry Ben Smith U of W 9/30/04.
Investigations of Artifacts in the ISCCP Datasets William B. Rossow July 2006.
Jason-1/Envisat cross-calibration Y. Faugere (CLS) J. Dorandeu (CLS) N. Picot (CNES) P. Femenias (ESA) Jason-1 / Envisat Cross-calibration.
Introduction to Project Management Chapter 9 Managing Project Risk
Curve Fitting Introduction Least-Squares Regression Linear Regression Polynomial Regression Multiple Linear Regression Today’s class Numerical Methods.
The ENSEMBLES high- resolution gridded daily observed dataset Malcolm Haylock, Phil Jones, Climatic Research Unit, UK WP5.1 team: KNMI, MeteoSwiss, Oxford.
Improved Marine Gravity from CryoSat and Jason-1 David T. Sandwell, Emmanuel Garcia, and Walter H. F. Smith (April 25, 2012) gravity anomalies from satellite.
Modification of JASON rain flag for MLE4 processing J.Tournadre 1IFREMER.
Mayer-Gürr et al.ESA Living Planet, Bergen Torsten Mayer-Gürr, Annette Eicker, Judith Schall Institute of Geodesy and Geoinformation University.
NOAA Climate Observation Annual Review Silver, Spring, MD Sept. 3-5, Intercomparisons Among Global Daily SST Analyses NOAA’s National Climatic Data.
Diurnal Cycle of Precipitation Based on CMORPH Vernon E. Kousky, John E. Janowiak and Robert Joyce Climate Prediction Center, NOAA.
1 July 20, 2000 Geosat Follow-On An examination from an operational point of view Impact on operational products Overall system performance (from sensor.
C. Shum, C. Zhao, Y. Yi, and P. Luk The Ohio State University GFO Calibration/Validation Meeting NOAA Laboratory for Satellite Altimetry Silver Spring,
ESA Living Planet Symposium, 29 June 2010, Bergen (Norway) GOCE data analysis: the space-wise approach and the space-wise approach and the first space-wise.
SC4MGV – ESA Contract No /13/NL/MV 5th International GOCE User Workshop November 2014, Paris, France ESA SC4MGV Search strategy for.
Time Series Forecasts Trend - long-term upward or downward movement in data. Seasonality - short-term fairly regular variations in data related to factors.
Vladimir Agapov, Igor Molotov, Victor Stepanyants
Florida Keys Canal Remediation Diel Results
Team meeting – MIT (Tom Herring, An Nguyen)
Eddy correlation – basic principles
Measured Period VOICE SIGNAL
CRaTER-specific LRO Mission Duration Issues
Dorothee Coppens.
Hydrology and Precipitation (a review and application)
Presentation transcript:

GFO Cal/Val Meeting Silver Spring, Md 12 June 2001 J. McMillan Software Process Engineering Consulting Services

GFO Cal/Val Meeting 12 June 2001 J. McMillan #2 Fee Determination Assessments Fee determination Crossover residual RMS RA noise estimate Data coverage estimate Data analysis and quality assurance Timing and sizing anomalies Crossover residual analysis Orbit quick-look assessment RA noise trend analysis (v. SWH)

GFO Cal/Val Meeting 12 June 2001 J. McMillan #3 Fee Determination Crossover Residual RMS Methodology fixed by contract NOAA crossover location template Data editing criteria Latitude outside ±55º UT 1/12º land mask Timing anomalies WFF Quality Word criteria SSHustd ≥ 15 cm

GFO Cal/Val Meeting 12 June 2001 J. McMillan #4 Fee Determination Crossover Residual RMS (cont.)

GFO Cal/Val Meeting 12 June 2001 J. McMillan #5 Fee Determination RA Noise Estimate Methodology fixed by contract (R. Sailor spectral analysis technique) Data editing criteria - same as crossover residual RMS plus AGC blooms (  o ≥ 16 db) Non-colinear passes Colinear passes… w/o sufficient geoid signal w/o duration ≥ 2 min (no interpolation) w/ average SWH ≤ 2.0 m (both passes)

GFO Cal/Val Meeting 12 June 2001 J. McMillan #6 Fee Determination RA Noise Estimate (cont.) Cycles 00/01

GFO Cal/Val Meeting 12 June 2001 J. McMillan #7 Fee Determination RA Noise Estimate (cont.)

GFO Cal/Val Meeting 12 June 2001 J. McMillan #8 Fee Determination Data Coverage Estimate Methodology: comparison with NOAA crossover locations Missing crossovers broken down by Missing data (gap in NGDR) RA not in fine track Other WFF Quality Word editing criteria

GFO Cal/Val Meeting 12 June 2001 J. McMillan #9 Fee Determination Data Coverage (cont.)

GFO Cal/Val Meeting 12 June 2001 J. McMillan #10 Data Analysis and QA Timing and Sizing Anomalies Timing anomalies - 2 types discovered ∆t ≠ 0.98 sec. Self-correcting Not yet fixed Occurs over water as well as land Numerous occurrences in Cycle 03 After Cycle 03, occurs 1 to 3 times per Cycle Negative ∆t Fixed by Ball after Cycle 05 Size anomalies - compare gfoM & gfoo

GFO Cal/Val Meeting 12 June 2001 J. McMillan #11 Data Analysis and QA Crossover Residual Analysis

GFO Cal/Val Meeting 12 June 2001 J. McMillan #12 Data Analysis and QA Orbit Quick-Look Assessment Crossover residual daily histogram 3-Day crossover residual analysis SSHc - MSS

GFO Cal/Val Meeting 12 June 2001 J. McMillan #13 Data Analysis and QA RA Noise Trend Analysis (v. SWH)