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

Slides:



Advertisements
Similar presentations
Chapter 16 Unemployment: Search and Efficiency Wages.
Advertisements

Advanced Piloting Cruise Plot.
Copyright © 2003 Pearson Education, Inc. Slide 1 Computer Systems Organization & Architecture Chapters 8-12 John D. Carpinelli.
Chapter 1 The Study of Body Function Image PowerPoint
Copyright © 2011, Elsevier Inc. All rights reserved. Chapter 5 Author: Julia Richards and R. Scott Hawley.
1 Copyright © 2010, Elsevier Inc. All rights Reserved Fig 2.1 Chapter 2.
By D. Fisher Geometric Transformations. Reflection, Rotation, or Translation 1.
Aviation Security Training Module 4 Design and Conduct Exercise II 1.
Business Transaction Management Software for Application Coordination 1 Business Processes and Coordination.
1 RA I Sub-Regional Training Seminar on CLIMAT&CLIMAT TEMP Reporting Casablanca, Morocco, 20 – 22 December 2005 Status of observing programmes in RA I.
Summary of Convergence Tests for Series and Solved Problems
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Title Subtitle.
My Alphabet Book abcdefghijklm nopqrstuvwxyz.
0 - 0.
DIVIDING INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.
FACTORING ax2 + bx + c Think “unfoil” Work down, Show all steps.
Addition Facts
ZMQS ZMQS
Richmond House, Liverpool (1) 26 th January 2004.
Module 4. Forecasting MGS3100.
LOGO Regression Analysis Lecturer: Dr. Bo Yuan
(This presentation may be used for instructional purposes)
ABC Technology Project
EU Market Situation for Eggs and Poultry Management Committee 21 June 2012.
2 |SharePoint Saturday New York City
VOORBLAD.
15. Oktober Oktober Oktober 2012.
Squares and Square Root WALK. Solve each problem REVIEW:
© 2012 National Heart Foundation of Australia. Slide 2.
Chapter 5 Test Review Sections 5-1 through 5-4.
GG Consulting, LLC I-SUITE. Source: TEA SHARS Frequently asked questions 2.
1 First EMRAS II Technical Meeting IAEA Headquarters, Vienna, 19–23 January 2009.
Addition 1’s to 20.
Model and Relationships 6 M 1 M M M M M M M M M M M M M M M M
25 seconds left…...
Slippery Slope
Test B, 100 Subtraction Facts
Week 1.
We will resume in: 25 Minutes.
Greg Kopp, p. 1ASIC 3 – 16 May 2006TSI Accuracy The Accuracy of Total Solar Irradiance Measurements Greg Kopp, CU/LASP, Boulder, CO.
Intracellular Compartments and Transport
1 Unit 1 Kinematics Chapter 1 Day
PSSA Preparation.
Essential Cell Biology
OMI ST meeting June 2008 Calibration & 0-1b data processing Marcel Dobber (KNMI)
How Cells Obtain Energy from Food
LASP/TRF diagnostic test and results for the ACRIM3 experiment Implications for the multi-decadal TSI database ACRIMSAT/ACRIM3 ACRIM3 TEAM Dr. Richard.
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.
TOSCA Workshop on SSI Variability and Climate Modeling14 May 2012 Pilewskie - 1 Current and Future Measurements of Total and Spectral Solar Irradiance.
Multi-satellite Solar Spectral Irradiance Composite (MUSSIC) M. Snow, J. Machol, & E. Richard University of Colorado LASP & CIRES
Werner Schmutz, PMOD/WRC Status of the space weather experiments LYRA/PROBA2 and PREMOS/PICARD PMOD/WRC COST 724 project: Short-term variability.
Assimilation of solar spectral irradiance data within the SOLID project Margit Haberreiter PMOD/WRC, Davos, Switzerland.
Solar Irradiance (Swiss contributions to ILWS) 4th ILWS general meeting, Beijing, June 22-23, 2006 Werner Schmutz, PMOD/WRC, Switzerland (representing.
PMOD / WRC Prof. Dr. Werner K. Schmutz Director PMOD/WRC Davos, Switzerland HMI meeting Stanford May 1./2., 2003 DORADE Davos Observatory Radiometer Experiment.
3 December 2008Face2Face Meeting, Bruxelles, Dec Solar Variability and Irradiance Monitoring (SOVIM) within SOLAR on ISS Claus Fröhlich Physikalisch-Meteorologisches.
NASA-JAXA-CSA-ESA ‚Incr16‘ Science Symposium, Sep 2007 Solar Variability and Irradiance Monitoring (SOVIM) within SOLAR on ISS Claus Fröhlich Physikalisch-Meteorologisches.
LYRA Calibration, Data Products, Plans I. E. Dammasch, ROB/SIDC PROBA2 Science Meeting Sun 360, Kiel, Jul 2011 LYRA the Large-Yield Radiometer onboard.
Status of SORCE and LASP EUV Missions M. Snow T. Woods, J. Harder University of Colorado/LASP
BELGISCH INSTITUUT VOOR RUIMTE-AERONOMIE INSTITUT D’AERONOMIE SPATIALE DE BELGIQUE BELGIAN INSTITUTE OF SPACE AERONOMY BELGISCH INSTITUUT VOOR RUIMTE-AERONOMIE.
First, we try to use HCL lamp for calibration. All visible lines relative to Ar801 line The degradation increases with wavelength, which is the opposite.
Status of PREMOS data SOLID Workshop 14th October 2013 G. Cessateur for the PREMOS team PMOD/WRC, Switzerland.
SORCE - Spectral Irradiance Monitor Stéphane Béland 1, J. Harder 1, M. Snow 1, G. Thuillier 2 1 LASP – University of Colorado Boulder 2 LATMOS-CNRS SOSLPEC.
LYRA on PROBA2 and other PMOD/WRC irradiance experiments
ACRIM Satellite TSI Observations, Scales and Traceability Active
Swiss contributions to ILWS 13. 6
Presentation transcript:

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

Overview Werner Schmutz May 2012 Total Solar Irradiance Absolute calibration (first light PREMOS) Composites (relative calibration) Spectral Solar Irradiance (SSI) SIM/SORCE VIRGO/SOHO

PICARD PREMOS – SOVAP – SODISM Werner Schmutz May 2012 Total Solar Irradiance Filter Radiometers

TSI calibration Werner Schmutz May 2012 PREMOS A is the first and only radiometer in space with a SI-traceable irradiance calibration in vacuum Traceable to the irradiance calibration facility at LASP in Boulder (TRF)

Traceability of PREMOS-TSI Werner Schmutz May 2012 PREMOS B Comparison to cryogenic rad. (power in vacuum) NPL Comparison to cryogenic rad. (power and irradiance in vacuum) LASP PREMOS A3

Uncertainty of the calibration Werner Schmutz May absolute uncertainty of TRF facility (70 ppm) = uncertainty of TRF comparison (220 ppm) PREMOS A TRF radiometer

Calibration uncertainty budget Werner Schmutz May 2012 Traceable via TRF, LASP, Boulder to NIST Irradiance in vacuum PREMOS A uncertainty: ± 280 ppm(± 0.4 W/m2) Table compiled by Greg Kopp for an ISSI workshop March 2012 Flight-spare recalibrations

Werner Schmutz May 2012 Comparison PREMOS – TIM

Status of PREMOS-TSI Werner Schmutz May 2012 PREMOS is in excellent health o PREMOS-TSI is the most accurate absolute measurement; ±0.4 W/m2 or ±290 ppm o After 2 years, PREMOS-TSI has at most 50 ppm relative deviation to TIM/SORCE.

The Future of TSI observations: Are relative observations sufficient? Werner Schmutz May 2012

There are three TSI composites Werner Schmutz

TSI-composites normalized Werner Schmutz normalized DIARAD PMOD, ACRIM

Composite Werner Schmutz May W/m 2 ± 0.2 W/m 2 / 10-years

Is there a long-term trend? Werner Schmutz May 2012 Fröhlich 2009, A&AL 501, L27-L30

Could we detect a long-term trend with a composite? Werner Schmutz May 2012

Requirements for a TSI monitoring Werner Schmutz May 2012 Any plan to rely on an unbroken chain of measurements is broken o Not only because of a potential gap; o But mainly because of the uncertainty is continuously increasing with time ! Accurate absolute measurements are required !

Requirements for a TSI monitoring Werner Schmutz May 2012 Accurate absolute measurements are required: Nowadays possible ! But we certainly also want to assess the variations of TSI and therefore, we still need to aim for continues and overlapping data !

TSI monitoring today … Werner Schmutz May 2012 Presently, 4 operational space experiments observing TSI: -VIRGO (launched 1995) -ACRIM III (launched 2000) -TIM (launched 2003) -PREMOS (launched 2010)

Part II: Spectral Solar Irradiance Werner Schmutz May 2012

Werner Schmutz May 2012 The open question ! Is the SIM observation really correct? Or is it rather a degradation problem? The bands and nm are anti-correlated to TSI variations Compensated by larger (than TSI) UV variations

Werner Schmutz May 2012 Anti-correlation in models Contrast between active and quite Sun (SSN 150 vs SSN 0) Black: Bright+Dark Red: bright components Blue: dark components

Werner Schmutz May 2012 VIRGO and PREMOS bands

Werner Schmutz 215 nm PREMOS vs SOLSTICE Independant correction of PREMOS Strong correlation of 13.5 and 27 days modulation PREMOS sampling is faster Rotational modulation more accurate PREMOS SOLSTICE PREMOS

NIST SSI workshop, February 2012 VIRGO SSI time series now Christoph Wehrli & VIRGO Team PMOD/WRC Davos An attempt to assess instrument degradation in a self consistent way by: referring operational measurements to occasional backup operations correcting the backup channel by initial ageing of operational channel

NIST SSI workshop, February 2012 VIRGO Sun Photometers Interference filter radiometer with 3 channels centered at 862nm, 500nm and 402nm (R,G,B); FWHM bandwidths 5nm; silicon PD detectors; rad-hard windows. Active (SPM-A) and Backup (SPM-B) instruments –SPM-A: exposed continuously for helioseismology application –SPM-B: exposed rarely for solar spectral irradiance measurements Calibrated by EG&G FEL lamps, NBS 1973 traceable

NIST SSI workshop, February 2012 VIRGO SPM: Level1 data SPM-B: Number of backups 178 Total exposure time 2.6 days

NIST SSI workshop, February 2012 Raw variations of SPM-B VIRGO-SPM-B changes are about 5 times larger than the (real) solar variations in TSI. Solar cycle 24 SSI variation is not obvious (smaller), hidden in instrumental ageing. 5*(TSI/ ) - 4

NIST SSI workshop, February 2012 Initial ageing of SPM-A Steep degradation during first hours! Linear degradation during first month {Commissioning activities until } TSI (*100)

NIST SSI workshop, February 2012 Ageing of SPM-A and SPM-B versus exposure time polynomial fit SPM-A

NIST SSI workshop, February 2012 SPM-B corrected by operational degradation of SPM-A Instrumental effects dominating over solar cycle

NIST SSI workshop, February 2012 Empirical Approach SSI timeseries represent a mixture of Solar Cycle and instrumental effects Active & Backup SPM degrade differently in time or exposure time Linear correction accounts for probable decline of SSI, i.e. first order estimation of instrumental effect. Exponential correction eliminates most of solar cycle variation as well

NIST SSI workshop, February 2012 Linear vs. Exponential Detrending: what does it to TSI ?

NIST SSI workshop, February 2012 Linear Detrending

NIST SSI workshop, February 2012 Summary Normalization of SPM-A by SPM-B: –Larger than expected variations of Backup channel instrumental effects Rapid initial degradation in Active channel versus Early increase of Backup (not observed in operational channel) Empirical correction of SPM-B: fitting degradation in time with: –Linear or exponential detrending yields positive correlation with solar cycle (TSI) in all 3 visible channels !!! None of VIRGOSs wavelength bands 862 nm, 500 nm, 402 nm is anti-correlated to TSI variations

Thank you for your attention Werner Schmutz May 2012 PREMOS PICARD

NIST SSI workshop, February 2012 Alternative analysis including proxies (C. Fröhlich, EGU 2011) Empiric correction versus Time (double exponential), Temperature (linear + Boltzmann), TSI and Mg-II Index. SORCE