1 Building a Sunspot Group Number Backbone Series Leif Svalgaard Stanford University 3 rd SSN Workshop, Tucson, Jan. 2013.

Slides:



Advertisements
Similar presentations
Time series modelling and statistical trends
Advertisements

Discussion of Paper THE MAUNDER MINIMUM IS NOT AS GRAND AS IT SEEMED TO BE N. V. Zolotova and D. I. Ponyavin Leif Svalgaard Stanford University Feb. 17,
Calibration of Sunspot Numbers Leif Svalgaard Stanford University Eddy Symposium 22 Oct
Sixty+ Years of Solar Microwave Flux Leif Svalgaard Stanford University SHINE 2010, Santa Fe, NM.
Paired Data: One Quantitative Variable Chapter 7.
1 Reconciling Group and International Sunspot Numbers Leif Svalgaard, HEPL, Stanford University Edward W. Cliver, Space Vehicles Directorate, AFRL XII.
The new Sunspot Number A full recalibration Frédéric Clette World Data Center SILSO, Royal Observatory of Belgium L. Svalgaard Stanford University J.M.
A full revision of the Sunspot Number and Group Number records Frédéric Clette World Data Center SILSO, Royal Observatory of Belgium L. Svalgaard Stanford.
1 Confronting Models with Reconstructions and Data Leif Svalgaard HEPL Stanford University Boulder, June 2014 ESWE Workshop Presentation Session 9: Understanding.
Pulsed Cathodic Arc Plasma Diagnostics Optical Emission Spectroscopy Results Aluminium.
Regression Chapter 10 Understandable Statistics Ninth Edition By Brase and Brase Prepared by Yixun Shi Bloomsburg University of Pennsylvania.
1 Simple Linear Regression Linear regression model Prediction Limitation Correlation.
1 Reconstruction of Solar EUV Flux in Centuries Past Leif Svalgaard Stanford University Big Bear Solar Observatory 23 rd Sept NSO, Sunspot, NM 3.
CHAPTER 3 Describing Relationships
1 History and Calibration of Sunspot Numbers Edward W. Cliver, AFRL Leif Svalgaard, Stanford Univ. Kenneth H. Schatten, a.i. Solutions IUGG XXV General.
1 Heliospheric Magnetic Field Leif Svalgaard Stanford University, CA
1 The New Sunspot Series: Methods, Results, Implications, Opposition Leif Svalgaard Stanford University, California, USA Seminars.
1 Solar Wind During the Maunder Minimum Leif Svalgaard Stanford University Predictive Science, San Diego, 4 Sept
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 26 Comparing Counts.
1 The History of the Sunspot Number Leif Svalgaard Stanford University, California, USA AOGS, Singapore, August 2015 WSO.
Calibration of Sunspot Numbers Leif Svalgaard Stanford University SIDC Seminar 14 Sept
Correlation Correlation measures the strength of the LINEAR relationship between 2 quantitative variables. Labeled as r Takes on the values -1 < r < 1.
Confidence Intervals for the Regression Slope 12.1b Target Goal: I can perform a significance test about the slope β of a population (true) regression.
BPS - 3rd Ed. Chapter 211 Inference for Regression.
1 Something with ‘W’ Leif Svalgaard March 1, 2012.
Estimation of Statistical Parameters
1 Reconciling Group and International Sunspot Numbers Leif Svalgaard, HEPL, Stanford University Edward W. Cliver, Space Vehicles Directorate, AFRL NSO.
NADIR workshop - October 27-28, 2010page 1 / 17 Determining the Most Appropriate Solar Inputs for use in Upper Atmosphere Density Models Sean Bruinsma.
1 Everyday is a new beginning in life. Every moment is a time for self vigilance.
1 The Spots That Won’t Form Leif Svalgaard Stanford University 3 rd SSN Workshop, Tucson, AZ, Jan
Time series Decomposition Farideh Dehkordi-Vakil.
CHAPTER 9 Testing a Claim
1 Updating the Historical Sunspot Record Leif Svalgaard Stanford University SOHO-23. Sept. 25, 2009.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 3 Describing Relationships 3.2 Least-Squares.
Effective drift velocity and initiation times of interplanetary type-III radio bursts Dennis K. Haggerty and Edmond C. Roelof The Johns Hopkins University.
1 Geomagnetic Calibration of Sunspot Numbers Leif Svalgaard HEPL, Stanford University SSN-Workshop, Sunspot, NM, Sept
CHAPTER 3 Describing Relationships
1 Rudolf Wolf Was Right Leif Svalgaard Stanford University Dec 9 th 2009 Seminar at UC Berkeley Space Sciences Lab.
1 How Well Do We Know the Sunspot Number? [And what we are doing to answer that question] Leif Svalgaard HEPL, Stanford University Poster at ‘Solar in.
1 The Waldmeier Effect and the Calibration of Sunspot Numbers Leif Svalgaard Stanford University, California, USA David H.
12/15/20141 The 2015 Revision of the Sunspot Number Leif Svalgaard Stanford University AGU Fall Meeting SH11D-07 See also poster at Monday, December 15,
1 Revisiting the Sunspot Number “Our knowledge of the long-term evolution of solar activity and of its primary modulation, the 11-year cycle, largely depends.
1 Objective Calibration of Sunspot Numbers Leif Svalgaard Stanford University, Stanford, CA, USA. AGU Fall 2009,
MODIS Winds Assimilation Impact Study with the CMC Operational Forecast System Réal Sarrazin Data Assimilation and Quality Control Canadian Meteorological.
Renewing our view to past solar activity: the new Sunspot Number series Frédéric Clette, Laure Lefèvre World Data Center SILSO, Observatoire Royal de Belgique,
Chapters 8 Linear Regression. Correlation and Regression Correlation = linear relationship between two variables. Summarize relationship with line. Called.
1 Reconstruction of Solar EUV Flux Leif Svalgaard Stanford University EGU, Vienna, April 2015.
Validation/Reconstruction of the Sunspot Number Record, E.W. Cliver Air Force Research Laboratory, Space Vehicles Directorate, Hanscom AFB, MA.
1 Reconciling Group and Wolf Sunspot Numbers Using Backbones Leif Svalgaard Stanford University 5th Space Climate Symposium, Oulu, 2013 The ratio between.
What the Long-Term Sunspot Record Tells Us About Space Climate David H. Hathaway NASA/MSFC National Space Science and Technology Center Huntsville, AL,
1 Rudolf Wolf and the Sunspot Number Leif Svalgaard Stanford University Sept st SSN Workshop, Sunspot, NM.
1 Calibration of Sunspot Numbers, II Leif Svalgaard Stanford University SIDC Seminar 12 Jan
BPS - 5th Ed. Chapter 231 Inference for Regression.
1 Sunspots with Ancient Telescopes Leif Svalgaard Stanford University, California, USA John W. Briggs Magdalena, New Mexico,
The First 420 Days With Sunspot Observations by ATS
The Effect of Weighting and Group Over-counting on the Sunspot Number
“The need of revising the good old Wolf numbers”
A Re-analysis of the Wolfer Group Number Backbone, I
CHAPTER 3 Describing Relationships
Using Old Geomagnetic Data to Say Something about the Sun
ADF (active-day fraction) method of sunspot number calibration
Basic Practice of Statistics - 3rd Edition Inference for Regression
CHAPTER 3 Describing Relationships
CHAPTER 3 Describing Relationships
CHAPTER 3 Describing Relationships
CHAPTER 3 Describing Relationships
CHAPTER 3 Describing Relationships
CHAPTER 3 Describing Relationships
Reconciling the Sunspot and Group Numbers
CHAPTER 3 Describing Relationships
Presentation transcript:

1 Building a Sunspot Group Number Backbone Series Leif Svalgaard Stanford University 3 rd SSN Workshop, Tucson, Jan. 2013

2 Why a Backbone? And What is it? Daisy-chaining: successively joining observers to the ‘end’ of the series, based on overlap with the series as it extends so far [accumulates errors] Back-boning: find a primary observer for a certain [long] interval and normalize all other observers individually to the primary based on overlap with only the primary [no accumulation of errors] Building a long time series from observations made over time by several observers can be done in two ways: Chinese Whispers When several backbones have been constructed we can join [daisy-chain] the backbones. Each backbone can be improved individually without impacting other backbones Carbon Backbone

3 The Backbones SIDC Backbone[????-2013] Japanese Backbone [ ] Wolfer Backbone [ ] Schwabe Backbone [ ] Staudach Backbone [????-????] Earlier Backbone(s) [1610-????]

4 Sources of Data The primary source is the very valuable tabulations by Hoyt and Schatten of the ‘raw’ count of groups by several hundred observers In some cases [especially Wolf and Schwabe] data has been re-entered and re-checked from Wolf’s published lists, as some discrepancies have been found with the H&S list

5 The Wolfer Backbone Alfred Wolfer observed with the ‘standard’ 80 mm telescope 80 mm X64 37 mm X20 Rudolf Wolf from 1860 on mainly used smaller 37 mm telescope(s) so those observations are used for the Wolfer Backbone

6 Normalization Procedure, I What we do not do: Compare only days when both observers actually observed. This is problematic when observations are sparse as during the early years. Compare only days when both observers actually recorded at least one group. This is clearly wrong as it will bias towards higher activity. What we do: We compute, for each observer, the monthly mean of actual observations [including days when it was indeed observed that there were no groups]. We compute, for each observer and for each year, the yearly mean of the average counts for months with at least one observation.

7 Normalization Procedure, II For each Backbone we regress each observers group counts for each year against those of the primary observer, and plot the result [left panel]. Experience shows that the regression line almost always very nearly goes through the origin, so we force it to do that and calculate the slope and various statistics, such as 1-σ uncertainty and the F-value. The slope gives us what factor to multiply the observer’s count by to match the primary’s. The right panel shows a result for the Wolfer Backbone: blue is Wolf’s count [with his small telescope], pink is Wolfer’s count [with the larger telescope], and the orange curve is the blue curve multiplied by the slope. It is clear that the harmonization works well [at least for Wolf vs. Wolfer]. F = 1202

8 Schmidt, Winkler F = 2062 F = 1241

9 Weber, Spörer F = 2062 F = 1241 F = 109 F = 347

10 Tacchini, Quimby F = 2062 F = 1379 F = 1352

11 Broger, Leppig F = 3003 F = 953

12 Konkoly, Mt. Holyoke F = 2225 F = 953 Etc… Dawson, Guillaume, Bernaerts, Woinoff, Merino, Ricco, Moncalieri, Sykora, Brunner,…

13 The Wolfer Group Backbone Weighted by F-value If we average without weighting by the F-value we get very nearly the same result as the overlay at the left shows

14 Hoyt & Schatten used the Group Count from RGO [Royal Greenwich Observatory] as their Normalization Backbone. Why don’t we? José Vaquero found a similar result which he reported at the 2 nd Workshop in Brussels. Because there are strong indications that the RGO data is drifting before ~1900 Could this be caused by Wolfer’s count drifting? His k- factor for R Z was, in fact, declining slightly the first several years as assistant (seeing fewer spots early on – wrong direction). The group count is less sensitive than the Spot count and there are also the other observers… Sarychev & Roshchina report in Solar Sys. Res. 2009, 43: “There is evidence that the Greenwich values obtained before 1880 and the Hoyt–Schatten series of Rg before 1908 are incorrect”.

15 The Schwabe Backbone Schwabe received a 50 mm telescope from Fraunhofer in 1826 Jan 22. This telescope was used for the vast majority of full-disk drawings made 1826–1867. For this backbone we use Wolf’s observations with the large 80mm standard telescope Schwabe’s House ?

16 Wolf, Shea F = 493 Mixing records!

17 Schmidt, Carrington F = 161 F = 431

18 Spörer, Peters F = 159 F = 73

19 Pastorff, Weber F = 158 F = 234

20 Hussey, Stark’ F = 116 F = 289

21 Tevel, Arago F = 2.3 F = 8.3

22 Flaugergues, Herschel F = 2.3 F = 0.1 Etc… Lindener, Schwarzenbrunner, Derfflinger…

23 The Schwabe Group Backbone Weighted by F-value

24 Joining two Backbones 1.55 Comparing Schwabe with Wolfer backbones over we find a normalizing factor of 1.55

25 Comparison Backbone with GSN and WSN

26 How do we Know HMF B? The IDV-index is the unsigned difference from one day to the next of the Horizontal Component of the geomagnetic field averaged over stations and a suitable time window. The index correlates strongly with HMF B [and not with solar wind speed]

27 Staudach Observations

28 Zucconi, Horrebow

29 Staudach Backbone