SORCE Science Mtg. Dec. 2003 R C Willson - Columbia University1 ACRIM INSTRUMENT TEAM Roger S. Helizon, Jet Propulsion Laboratory Instrument Scientist/Project.

Slides:

Advertisements

Similar presentations

Werner Schmutz PMOD/WRC, Switzerland TOSCA Workshop Berlin, May 14, 2012 Measurements of TSI and SSI.

Advertisements

Greg Kopp, p. 1ASIC 3 – 16 May 2006TSI Accuracy The Accuracy of Total Solar Irradiance Measurements Greg Kopp, CU/LASP, Boulder, CO.

LASP/TRF diagnostic test and results for the ACRIM3 experiment Implications for the multi-decadal TSI database ACRIMSAT/ACRIM3 ACRIM3 TEAM Dr. Richard.

Observing OH Response to the Solar Cycle  Over 5-year Aura MLS OH Measurements in Combination With the 13-year Ground-based FTUVS OH Measurement Shuhui.

Copyright Alan Rowley Associates Steps to an Accurate Result Select a method and validate it as suitable for the purpose envisaged. Establish that.

Inauguration of the renovated PMOD/WRC building August 28., 2013.

Decadal variations of Sun-like stars (“solar variability after dark”) Wes Lockwood, Lowell Observatory Gregory Henry, TSU.

SOLAR IRRADIANCE VARIABILITY OF RELEVANCE FOR CLIMATE STUDIES N.A. Krivova.

Doppler signatures in EVE spectra, and flares H. Hudson, T. Woods, P. Chamberlin, L. Fletcher, and D. Graham The Extreme-ultraviolet Variability Experiment.

ASIC3 WorkshopLandsdowne, VA May 16-18, 2006 J. Harder Page 1 Calibration Status of the Solar Irradiance Monitor (SIM) : The Present and the Future Jerald.

The Averaging Kernel of CO2 Column Measurements by the Orbiting Carbon Observatory (OCO), Its Use in Inverse Modeling, and Comparisons to AIRS, SCIAMACHY,

Measuring the shape of the Sun H.S. Hudson, M.D. Fivian & H.J. Zahid Space Sciences Lab, UC Berkeley.

On average TES exhibits a small positive bias in the middle and lower troposphere of less than 15% and a larger negative bias of up to 30% in the upper.

Temperature Minimum Region between the Minimum-Activity Epochs and W. Livingston and E. Avrett AGU Fall Meeting, 2003.

Acoustic Remote Sensing of Large- Scale Temperature Variability in the North Pacific Ocean Peter F. Worcester, Bruce D. Cornuelle, Matthew A. Dzieciuch,

Long-Term Solar Variability H. S. Hudson University of California, Berkeley SORCE Science Meeting Sonoma, Dec. 6, 2003.

Rapportage, Session 3 Posters H. S. Hudson (UCB and SPRC) SOHO-11 Davos, March 12, 2002.

Laser Ranging Contributions to Earth Rotation Studies Richard S. Gross Jet Propulsion Laboratory California Institute of Technology Pasadena, CA 91109–8099,

Solar Radiative Output and its Variability Preethi Ganapathy November 22, 2005 Claus Frölich and Judith Lean.

Solar Irradiance Variability Rodney Viereck NOAA Space Environment Center Derived Total Solar Irradiance Hoyt and Schatten, 1993 (-5 W/m 2 ) Lean et al.,

TOSCA Workshop on SSI Variability and Climate Modeling14 May 2012 Pilewskie - 1 Current and Future Measurements of Total and Spectral Solar Irradiance.

2010 CEOS Field Reflectance Intercomparisons Lessons Learned K. Thome 1, N. Fox 2 1 NASA/GSFC, 2 National Physical Laboratory.

ABC of Quality Control A problem based approach RT ERASMUS NHLS / FACULTY OF HEALTH SCIENCES, UNIVERSITY OF STELLENBOSCH 20th July, 2007, Bela Bela.

Multi-satellite Solar Spectral Irradiance Composite (MUSSIC) M. Snow, J. Machol, & E. Richard University of Colorado LASP & CIRES

An assessment of data products for studies of clouds and radiation (INVITED) Ehrhard Raschke University of Hamburg, Germany William R. Rossow, Yuan-Chong.

Irion et al., May 3, 2005 Page 1 Ozone validation for AIRS V4 Fredrick W. Irion, Michael R. Gunson Jet Propulsion Laboratory California Institute of Technology.

Metrology Adapted from Introduction to Metrology from the Madison Area Technical College, Biotechnology Project (Lisa Seidman)

Response of Middle Atmospheric Hydroxyl Radical to the 27-day Solar Forcing King-Fai Li 1, Qiong Zhang 2, Shuhui Wang 3, Yuk L. Yung 2, and Stanley P.

GOES-R Support to Future Climate Monitoring Needs Mitch Goldberg Chief, Satellite Meteorology and Climatology Division Office of Research and Applications.

Incoming Solar Radiation at Top of the Atmosphere Measurements and Modeling Ehrhard Raschke University of Hamburg, Germany (Based on.

Comparison of Solar EUV Irradiance Measurements from CDS and TIMED/EGS W. T. Thompson L3 Communications EER, NASA GSFC P. Brekke ESA Space Science Department.

NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable.

Assimilation of solar spectral irradiance data within the SOLID project Margit Haberreiter PMOD/WRC, Davos, Switzerland.

Atmosphere-Climate Working Group General remarks… Issues of importance to climate community require climatological (long time scale) data analysis rather.

Solar Irradiance (Swiss contributions to ILWS) 4th ILWS general meeting, Beijing, June 22-23, 2006 Werner Schmutz, PMOD/WRC, Switzerland (representing.

Comparison of Magnesium II Core-to-Wing Ratio Measurements J. Machol 1,2*, M. Snow 3, R. Viereck 4, M. Weber 5, E. Richard 3, L. Puga 4 1 NOAA/National.

PMOD / WRC Prof. Dr. Werner K. Schmutz Director PMOD/WRC Davos, Switzerland HMI meeting Stanford May 1./2., 2003 DORADE Davos Observatory Radiometer Experiment.

Irradiance Variation at Solar Minimum: Real or Instrumental? David Rust, JHU/APL Space Physics Group A Cooperative Research Project for the International.

NASA-JAXA-CSA-ESA ‚Incr16‘ Science Symposium, Sep 2007 Solar Variability and Irradiance Monitoring (SOVIM) within SOLAR on ISS Claus Fröhlich Physikalisch-Meteorologisches.

Ca II K and Mg II Index Data from AURA OMI: Cycles 23,24 S. Marchenko, M. DeLand Science Systems and Applications, Inc., Lanham, MD 20706, USA Goddard.

TOSCA workshop, Berlin, 15 May 2012 Comparison of the SSI data sets using observed and simulated evolution of the middle atmosphere during A.

1 PMOD TSI: SOHO keyhole effect, and possible degradation over time Leif Svalgaard Stanford University, CA SORCE.

Correlation between sunspot numbers and EUV irradiance as observed by LYRA on PROBA2 Ingolf. E. Dammasch & Laure Lefevre, ROB SIDC Seminar, Brussels, 10.

Atmospheric Radiative Transfer PHYS 721 “The ocean sunglint in a dusty/polluted day” Picture by Yoram J. Kaufman

SOLSTICE II -- Magnesium II M. Snow 1*, J. Machol 2,3, R. Viereck 4, M. Weber 5, E. Richard 1 1 Laboratory for Atmospheric and Space Physics, University.

Reconstruction of solar irradiance variations in cycles 21, 22 and 23 based on surface magnetic fields Thomas Wenzler Institute of Astronomy ETH Zurich.

View on GPS and Galileo ‘From across the Atlantic…’ Ruth E. Neilan International GNSS Service (IGS) Central Bureau Jet Propulsion Laboratory/California.

SBUV(/2) and SSBUV Solar Irradiance Measurements Matthew DeLand Science Systems and Applications, Inc. (SSAI) 1 st SOLID Annual Assembly LPC2E, Orleans,

Radiometric Calibration PROBA-V QWG #2. PRESENTATION OUTLINE »Introduction »Stability of PROBA-V »ICP updates since QWG#1 »Outlook »Moon calibration GSICS.

Using NASA Resources to Promote Climate Literacy Dana Haine, MS UNC-Chapel Hill Institute for the Environment Principal Investigator, NC CLIMATE Fellows.

National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California CLARREO GPS RO/AJM-JPL.

Status of PREMOS data SOLID Workshop 14th October 2013 G. Cessateur for the PREMOS team PMOD/WRC, Switzerland.

Evidence in ISCCP for regional patterns of cloud response to climate change Joel Norris Scripps Institution of Oceanography ISCCP at 30 Workshop City College.

Validation of the TMR and JMR Wet Path delay Measurements using GPS, SSM/I, and TMI Shailen Desai Shannon Brown Bruce Haines Wenwen Lu Victor Zlotnicki.

Validation/Reconstruction of the Sunspot Number Record, E.W. Cliver Air Force Research Laboratory, Space Vehicles Directorate, Hanscom AFB, MA.

1 Changes in global net radiative imbalance Richard P. Allan, Chunlei Liu (University of Reading/NCAS Climate); Norman Loeb (NASA Langley); Matt.

SOLAR SVW bridging: outcome SOLAR Bridging of SVWs in Nov/Dec 2012 Outcome POIWG 33 – Huntsville, AL January 2013.

1 CLARREO Advances in Reflected Solar Spectra Calibration Accuracy K. Thome 1, N. Fox 2, G. Kopp 3, J. McCorkel 1, P. Pilewskie 3 1 NASA/Goddard Space.

2015 GSICS Annual Meeting, Deli India March 16~20, 2015 Xiuqing Hu National Satellite Meteorological Center, CMA Yupeng Wang, Wei Fang Changchun Institute.

Hauchecorne, M. Meftah, P. Keckhut,

VIS/NIR reference instrument requirements

Solar reference spectra from the Solspec instruments

LYRA on PROBA2 and other PMOD/WRC irradiance experiments

Using SCIAMACHY to calibrate GEO imagers

ACRIM Satellite TSI Observations, Scales and Traceability Active

Jo Schmetz1 on behalf of Tim Hewison1 EUMETSAT

“Brief” update on ACE water vapour

Ratio Test THE RATIO AND ROOT TESTS Series Tests Test for Divergence

Reconciling Ocean Heating and

Changes in global net radiative imbalance

Presentation transcript:

SORCE Science Mtg. Dec R C Willson - Columbia University1 ACRIM INSTRUMENT TEAM Roger S. Helizon, Jet Propulsion Laboratory Instrument Scientist/Project Mgr. ACRIM Composite Total Solar Irradiance Time Series ACRIM SCIENCE TEAM Dr. Richard C. Willson, Columbia University Principal Investigator Dr. Alex Mordvinov, Head –Solar Activity Laboratory Institute Of Solar Terrestrial Physics, Irkutsk, Russia Co-Investigator Dr. James Hansen, Director – NASA/GISS Co-Investigator Dr. Hugh S. Hudson – University of CA at Berkeley Co-Investigator

SORCE Science Mtg. Dec R C Willson - Columbia University2 The Total Solar Irradiance Observational Database Continuous monitoring since 1978 by redundant, overlapping, satellite experiments Overlapping comparisons provide contiguous results at mutual precision levels Absolute uncertainty varies by experiment but is not demonstrably less than 0.1 % (SI) Traceability varies between experiments: ≥ 50 ppm/decade Scale differences of ± 0.4 % likely due to systematic errors in sensor metrology

SORCE Science Mtg. Dec R C Willson - Columbia University3 0.4 %

SORCE Science Mtg. Dec R C Willson - Columbia University4 ACRIM ‘gap’

SORCE Science Mtg. Dec R C Willson - Columbia University5 ACRIM Composite TSI Approach Uses Original published results from TSI experiments Overlapping comparisons to relate experiments at mutual precision level Comparisons of ACRIM with Nimbus7/ERB to bridge the ACRIM ‘gap’ Reconciles Composite time series to ACRIM3 ‘native scale’

SORCE Science Mtg. Dec R C Willson - Columbia University6

SORCE Science Mtg. Dec R C Willson - Columbia University7

SORCE Science Mtg. Dec R C Willson - Columbia University8 Comparison of ACRIM and PMOD Composite TSI

SORCE Science Mtg. Dec R C Willson - Columbia University9 Composite TSI Measurements and Models ACRIM Composite TSI Uses original published results from TSI experiments Uses Nimbus7/ERB ACRIM ‘gap’ ratio to link ACRIM1 and ACRIM2 PMOD Composite TSI Modifies published results from TSI experiments Uses ERBS ACRIM ‘gap’ ratio to link ACRIM1 and ACRIM2

SORCE Science Mtg. Dec R C Willson - Columbia University10 The ACRIM - PMOD Composite Trend Difference is an artifact of using the Nimbus7/ERB or ERBS ACRIM ‘gap’ ratios

SORCE Science Mtg. Dec R C Willson - Columbia University11

SORCE Science Mtg. Dec R C Willson - Columbia University12 Comparison of Nimbus7/ERB and ERBS results (Simultaneous Daily Means) ACRIM GAP

SORCE Science Mtg. Dec R C Willson - Columbia University13 Comparison of Overlapping Observations during ACRIM1, ACRIM ‘gap’ and ACRIM2 Periods

SORCE Science Mtg. Dec R C Willson - Columbia University14 Composite TSI Summary and Conclusions ERBS degradation during ACRIM ‘gap’ equals the ACRIM - PMOD trend difference PMOD adjustment of Nimbus7/ERB results during ACRIM ‘gap’ equals the ACRIM - PMOD trend difference The absence of a minimum-to-minimum trend in composite models using ERBS results to bridge the ACRIM ‘gap’ is an artifact of ERBS degradation Composite TSI time series using best extant data exhibit a minimum-to- minimum trend of %/decade during solar cycles