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uk.sci.weather (UK Weather) (uk.sci.weather) For the discussion of daily weather events, chiefly affecting the UK and adjacent parts of Europe, both past and predicted. The discussion is open to all, but contributions on a practical scientific level are encouraged. |
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#1
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From Nov 2019 Aviso update (maybe still off-line again, was ther a few
days ago) ftp://ftp.aviso.altimetry.fr/pub/oceano/AVISO/indicators/msl/MSL_Serie_MERGED_Global_AVISO_GIA_Adjust_Filter2m. txt and ftp://ftp.aviso.altimetry.fr/pub/oceano/AVISO/indicators/msl/MSL_Serie_MERGED_Global_AVISO_NoGIA_Adjust_Filter2 m.txt No-GIA data excludes 0.3mm per year from "zero" of about 1993.173659 but only up to 2017 and approximate , needs more insight to unravel fully. 610 datapoints from 2003.002659 to 2019.589818 , again I've ignored the early altimetry missions because of the instrument drift but mainly it took about a decade for the SLR suppression by Mount Pinatubo , to drop out of consideration, effectively linearising any would-have-been acceleration in SLR ( see the work of Stephen Nerem). It also allows a convenient time axis zero of year 2000. Starting after the beginning of Jason1, to avoid some of the cross-over mismatch, but from visual inspection of SLR plots, about the re-emergence of accelerated rise, curving upwards, no longer linear being a representative fit. Using a www curve-fit number cruncher on those 610 datapoints, so anyome else with access to a curve-fitter could check my results, hopefully using a different agency. For the following y is cm of global SLR in Aviso terms and x is the decimal year minus 2000. Again ranking in terms of "goodness" R^2 indicial form remains the best fit. linear, R^2 =0.969321 y= 1.394912 + 0.369895 *x For year 2100 SLR 38.28cm exponential, R^2= 0.982114 y= 2.258757 -3.814849*(1-e^(x*0.052559)) For 2100 7.292metres quadratic, R^2= 0.982546 y= 2.447193 + 0.14249 *x + 0.010067 * x^2 For 2100 1.17metres indicial, R^2, = 0.982663 y = 2.678741 + 0.056302*x^1.590879 For 2100, SLR 88.24cm My earlier processing of Aviso SLR ,but graphical rather than text outputs, at the end of the file off the URL in the sig, replacing scicaf with solent. -- Monthly public talks on science topics, Hampshire , England http://diverse.4mg.com/scicaf.htm |
#2
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On Wednesday, 6 November 2019 16:11:53 UTC, N_Cook wrote:
From Nov 2019 Aviso update (maybe still off-line again, was ther a few days ago) ftp://ftp.aviso.altimetry.fr/pub/oceano/AVISO/indicators/msl/MSL_Serie_MERGED_Global_AVISO_GIA_Adjust_Filter2m. txt and ftp://ftp.aviso.altimetry.fr/pub/oceano/AVISO/indicators/msl/MSL_Serie_MERGED_Global_AVISO_NoGIA_Adjust_Filter2 m.txt No-GIA data excludes 0.3mm per year from "zero" of about 1993.173659 but only up to 2017 and approximate , needs more insight to unravel fully. 610 datapoints from 2003.002659 to 2019.589818 , again I've ignored the early altimetry missions because of the instrument drift but mainly it took about a decade for the SLR suppression by Mount Pinatubo , to drop out of consideration, effectively linearising any would-have-been acceleration in SLR ( see the work of Stephen Nerem). It also allows a convenient time axis zero of year 2000. Starting after the beginning of Jason1, to avoid some of the cross-over mismatch, but from visual inspection of SLR plots, about the re-emergence of accelerated rise, curving upwards, no longer linear being a representative fit. Using a www curve-fit number cruncher on those 610 datapoints, so anyome else with access to a curve-fitter could check my results, hopefully using a different agency. For the following y is cm of global SLR in Aviso terms and x is the decimal year minus 2000. Again ranking in terms of "goodness" R^2 indicial form remains the best fit. linear, R^2 =0.969321 y= 1.394912 + 0.369895 *x For year 2100 SLR 38.28cm exponential, R^2= 0.982114 y= 2.258757 -3.814849*(1-e^(x*0.052559)) For 2100 7.292metres quadratic, R^2= 0.982546 y= 2.447193 + 0.14249 *x + 0.010067 * x^2 For 2100 1.17metres indicial, R^2, = 0.982663 y = 2.678741 + 0.056302*x^1.590879 For 2100, SLR 88.24cm My earlier processing of Aviso SLR ,but graphical rather than text outputs, at the end of the file off the URL in the sig, replacing scicaf with solent. -- Monthly public talks on science topics, Hampshire , England http://diverse.4mg.com/scicaf.htm I think that rules out linear but not neccessarily exponential. |
#3
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![]() I think that rules out linear but not neccessarily exponential. So for the 70m of SLR for all Antarctic melt, by year 2143, if that exponential held :-( Its not so clear cut between quadratic and indicial. There is so much revisionism going on of these current and past altimetry measurements , its impossible to compare the history of this curve-fitting, comparing apples and pears. But chopping back the latest output of heavily revised data. The only thing set is stone is the GIA , precisely the thing that is not set in stone litterally and figuratively, because of the unknown unknowns relating to the stone underlying the world's oceans, let alone the known unknowns. At least with all that revisionism , it makes me more comfortable starting my processing at 2003.0 , not 1993 the actual start of the altimetry SLR era, so excluding a decade of the post-Pinatubo years. Perhaps 0.88m projection SLR for 2100 is about the minimum to expect. The next Aviso public output is likely to be about 2 months time. 588 datapoints 2003 to 2019.0 Quadratic y=2.467318 + 0.137333*x +0.010339*x^2 for 2100 , 1.196m indicial y= 2.688470 +0.054761*x^1.600479 for 2100, 0.897m *********** 551 datapoints 2003 to 2018.0 quadratic y= 2.620858 +0.096916*x +0.012545*x^2 For 2100, 1.378m indicial y=2.795849 +0.039033*x^1.719367 For 2100, 1.090m ********** 514 datapoints 2003 to 2017.0 quadratic y=2.794919 +0.049351*x + 0.015264*x^2 For 2100, 1.604m indicial y=2.9154 +0.024716*x^1.88367 For 2100, 1.476m ********* ratioing quad/indicial century SLR, to the latest 1.17/0.882= 1.326 to 2019.0, 1.334 to 2018.0, 1.264 to 2017.0, 1.087 and R^2 values for indicial and quadratic are very close and for the 2003 to 2018.0 processing, by R^2, the quadratic was actually the better fit compared to the indicial. Next project is to plot out the Aviso 2003 to latest data and the linear "fit" and indicial curve. -- Monthly public talks on science topics, Hampshire , England http://diverse.4mg.com/scicaf.htm |
#4
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These curve-fits plotted out
http://diverse.4mg.com/SLR_curve-fit_r.jpg If you're disallowed to view directly (they cannot insert ads to a pic), go to http://diverse.4mg.com/slr.htm first -- Monthly public talks on science topics, Hampshire , England http://diverse.4mg.com/scicaf.htm |
#5
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On Wednesday, 6 November 2019 16:11:53 UTC, N_Cook wrote:
From Nov 2019 Aviso update (maybe still off-line again, was ther a few days ago) ftp://ftp.aviso.altimetry.fr/pub/oceano/AVISO/indicators/msl/MSL_Serie_MERGED_Global_AVISO_GIA_Adjust_Filter2m. txt and ftp://ftp.aviso.altimetry.fr/pub/oceano/AVISO/indicators/msl/MSL_Serie_MERGED_Global_AVISO_NoGIA_Adjust_Filter2 m.txt No-GIA data excludes 0.3mm per year from "zero" of about 1993.173659 but only up to 2017 and approximate , needs more insight to unravel fully. 610 datapoints from 2003.002659 to 2019.589818 , again I've ignored the early altimetry missions because of the instrument drift but mainly it took about a decade for the SLR suppression by Mount Pinatubo , to drop out of consideration, effectively linearising any would-have-been acceleration in SLR ( see the work of Stephen Nerem). It also allows a convenient time axis zero of year 2000. Starting after the beginning of Jason1, to avoid some of the cross-over mismatch, but from visual inspection of SLR plots, about the re-emergence of accelerated rise, curving upwards, no longer linear being a representative fit. Using a www curve-fit number cruncher on those 610 datapoints, so anyome else with access to a curve-fitter could check my results, hopefully using a different agency. For the following y is cm of global SLR in Aviso terms and x is the decimal year minus 2000. Again ranking in terms of "goodness" R^2 indicial form remains the best fit. linear, R^2 =0.969321 y= 1.394912 + 0.369895 *x For year 2100 SLR 38.28cm exponential, R^2= 0.982114 y= 2.258757 -3.814849*(1-e^(x*0.052559)) For 2100 7.292metres quadratic, R^2= 0.982546 y= 2.447193 + 0.14249 *x + 0.010067 * x^2 For 2100 1.17metres indicial, R^2, = 0.982663 y = 2.678741 + 0.056302*x^1.590879 For 2100, SLR 88.24cm My earlier processing of Aviso SLR ,but graphical rather than text outputs, at the end of the file off the URL in the sig, replacing scicaf with solent. -- Monthly public talks on science topics, Hampshire , England http://diverse.4mg.com/scicaf.htm "because of the instrument drift" WTF? How may miles of "instrument drift" equates to a cotidal line? |
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