Slate Mountain Update, Arizona - AZ608 Additional Site Information B.L. Brice P.R. Sheppard A. Arizpe Reference: Becky Brice, Christopher H. Guiterman, Connie Woodhouse, Carlee McClellan, Paul Sheppard. 2021. Comparing tree-ring based reconstructions of snowpack variability at different scales for the Navajo Nation. Climate Services, Vol. 22, 100213, April 2021. doi: 10.1016/j.cliser.2021.100213 Notes: Update to Slate Mountain collection, ITRDB Site Code AZ543. Cores with IDs SMUxxx are 2016 update, measurement precision .001mm, series end flag -9999. Cores with IDs SMPxxx are original 1986 collection, measurement precision .01mm, series end flag 999. Funding: Climate Assessment of the Southwest (CLIMAS) COFECHA output: Chronology file name : AZ608.CRN Measurement file name : AZ608.RWL Date checked : 02AUG21 Checked by : B. Bauer Beginning year : 1590 Ending year : 2016 Principal investigators: B.L. Brice P.R. Sheppard A. Arizpe Site name : Slate Mountain Update Site location : Arizona Species information : PIPO PONDEROSA PINE Latitude : 3538 Longitude : -11156 Elevation : 2130M Series intercorrelation: 0.813 Avg mean sensitivity : 0.656 Avg standard deviation : 0.280 Avg autocorrelation : 0.660 Number dated series : 60 Segment length tested : 50 Number problem segments: 0 Pct problem segments : 0.00 PART 5: CORRELATION OF SERIES BY SEGMENTS: Slate Mountain Update 14:17 Mon 02 Aug 2021 Page 5 ----------------------------------------------------------------------------------------------------------------------------------- Correlations of 50-year dated segments, lagged 25 years Flags: A = correlation under .3281 but highest as dated; B = correlation higher at other than dated position Seq Series Time_span 1600 1625 1650 1675 1700 1725 1750 1775 1800 1825 1850 1875 1900 1925 1950 1975 1649 1674 1699 1724 1749 1774 1799 1824 1849 1874 1899 1924 1949 1974 1999 2024 --- -------- --------- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- 1 SMU01A 1820 2016 .66 .65 .52 .86 .84 .86 .85 .81 2 SMU01B 1890 2016 .87 .90 .70 .69 .63 3 SMU02A 1962 2016 .77 .80 4 SMU02B 1965 2014 .43 5 SMU03A 1714 2016 .90 .89 .85 .80 .79 .81 .70 .79 .83 .80 .87 .89 6 SMU03B 1726 2016 .89 .85 .72 .72 .78 .65 .83 .89 .86 .85 .85 7 SMU04A 1621 2016 .50 .58 .89 .85 .76 .80 .81 .78 .82 .85 .81 .82 .84 .71 .74 .88 8 SMU04B 1651 2015 .89 .86 .75 .74 .86 .84 .79 .74 .58 .66 .74 .58 .64 .78 9 SMU05A 1870 2016 .70 .72 .71 .59 .67 .80 10 SMU05B 1900 2016 .68 .48 .60 .87 11 SMU06A 1861 2016 .68 .82 .82 .80 .83 .84 12 SMU06B 1872 2016 .79 .81 .82 .84 .89 .88 13 SMU07A 1740 2016 .82 .85 .62 .62 .83 .83 .85 .90 .69 .47 .68 14 SMU07B 1729 2014 .71 .89 .81 .64 .67 .81 .84 .83 .71 .54 .50 15 SMU08A 1770 2016 .44 .55 .61 .69 .70 .83 .86 .75 .47 .44 16 SMU08B 1770 2016 .39 .46 .64 .67 .45 .78 .82 .77 .81 .81 17 SMU09B 1870 2016 .54 .58 .84 .67 .34 .59 18 SMU10A 1922 2016 .61 .59 .69 .75 19 SMU10B 1922 2016 .62 .61 .70 .74 20 SMU11A 1871 2016 .75 .76 .77 .78 .86 .84 21 SMU11B 1870 2016 .69 .70 .81 .80 .91 .90 22 SMU12A 1958 2016 .60 .60 23 SMU12B 1964 2016 .67 .64 24 SMP011 1687 1986 .77 .89 .84 .89 .87 .86 .91 .92 .75 .80 .90 .87 25 SMP012 1719 1986 .84 .86 .91 .91 .92 .91 .88 .82 .87 .90 .82 26 SMP021 1688 1949 .72 .78 .82 .88 .84 .75 .80 .86 .64 .72 27 SMP022 1721 1950 .62 .82 .91 .87 .82 .83 .83 .66 .74 .73 28 SMP031 1694 1986 .88 .89 .87 .86 .85 .86 .83 .82 .60 .67 .88 .88 29 SMP032 1669 1986 .87 .88 .86 .81 .85 .85 .78 .80 .86 .65 .65 .84 .87 30 SMP041 1695 1986 .86 .88 .90 .92 .91 .81 .79 .82 .82 .84 .87 .83 31 SMP042 1677 1986 .86 .87 .86 .88 .90 .91 .89 .87 .77 .75 .80 .79 32 SMP051 1690 1986 .74 .70 .63 .75 .77 .81 .86 .84 .83 .88 .87 .80 33 SMP052 1661 1986 .89 .85 .78 .61 .77 .81 .80 .83 .86 .83 .84 .87 .86 34 SMP061 1747 1986 .84 .83 .88 .81 .80 .85 .81 .81 .86 .88 35 SMP062 1677 1986 .79 .80 .78 .84 .89 .83 .76 .79 .81 .81 .84 .88 36 SMP071 1829 1986 .94 .94 .78 .75 .81 .83 37 SMP072 1828 1986 .80 .83 .80 .78 .75 .79 38 SMP081 1690 1986 .80 .83 .77 .80 .77 .83 .89 .87 .74 .70 .80 .89 39 SMP082 1664 1986 .87 .89 .89 .89 .88 .88 .90 .90 .87 .82 .80 .84 .89 40 SMP091 1728 1986 .69 .84 .87 .80 .72 .72 .54 .57 .73 .82 41 SMP092 1714 1986 .66 .73 .87 .90 .80 .70 .68 .59 .66 .78 .85 42 SMP101 1795 1986 .89 .90 .94 .93 .87 .83 .83 .73 43 SMP111 1660 1986 .88 .85 .84 .85 .92 .84 .63 .68 .86 .88 .89 .88 .84 44 SMP112 1660 1986 .88 .84 .84 .90 .95 .96 .92 .91 .91 .78 .80 .88 .87 45 SMP121 1808 1986 .83 .75 .81 .83 .78 .81 .81 46 SMP122 1788 1986 .78 .80 .77 .85 .81 .71 .78 .82 47 SMP131 1811 1986 .79 .78 .88 .87 .80 .86 .95 48 SMP132 1802 1986 .83 .83 .90 .87 .87 .93 .94 49 SMP141 1760 1986 .75 .82 .79 .75 .86 .83 .85 .83 .81 50 SMP142 1748 1986 .70 .72 .86 .79 .74 .84 .76 .78 .87 .87 51 SMP151 1709 1986 .87 .88 .88 .75 .71 .82 .82 .74 .64 .72 .69 52 SMP152 1660 1986 .81 .70 .75 .87 .84 .77 .72 .81 .82 .71 .77 .77 .60 53 SMP161 1698 1986 .88 .89 .87 .88 .89 .85 .84 .86 .79 .83 .89 .88 54 SMP162 1661 1986 .92 .93 .92 .86 .86 .81 .82 .87 .85 .76 .77 .83 .86 55 SMP171 1722 1986 .85 .85 .86 .86 .85 .89 .89 .82 .81 .88 .90 56 SMP172 1667 1986 .85 .86 .87 .84 .89 .87 .85 .89 .86 .84 .81 .76 .81 57 SMP181 1672 1986 .88 .89 .87 .58 .59 .73 .78 .81 .70 .70 .72 .74 .79 58 SMP182 1656 1986 .86 .88 .82 .69 .81 .78 .82 .86 .77 .78 .80 .83 .82 59 SMP191 1590 1986 .80 .82 .83 .74 .72 .76 .84 .84 .79 .74 .75 .90 .91 .63 .51 60 SMP192 1601 1986 .85 .86 .81 .78 .79 .62 .79 .83 .78 .85 .89 .75 .84 .79 .75 Av segment correlation .72 .75 .87 .83 .82 .80 .82 .82 .79 .81 .80 .77 .79 .78 .77 .75 PART 7: DESCRIPTIVE STATISTICS: Slate Mountain Update 14:17 Mon 02 Aug 2021 Page 11 ----------------------------------------------------------------------------------------------------------------------------------- Corr //-------- Unfiltered --------\\ //---- Filtered -----\\ No. No. No. with Mean Max Std Auto Mean Max Std Auto AR Seq Series Interval Years Segmt Flags Master msmt msmt dev corr sens value dev corr () --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- 1 SMU01A 1820 2016 197 8 0 .764 2.27 6.67 1.472 .607 .546 2.58 .400 -.086 1 2 SMU01B 1890 2016 127 5 0 .677 2.11 6.33 1.393 .604 .519 2.49 .414 -.104 2 3 SMU02A 1962 2016 55 2 0 .802 7.18 15.17 3.716 .741 .386 2.45 .481 .041 2 4 SMU02B 1965 2014 50 1 0 .496 5.98 13.66 3.257 .587 .504 2.39 .422 -.039 1 5 SMU03A 1714 2016 303 12 0 .860 .66 5.06 .652 .754 .665 2.60 .431 -.036 2 6 SMU03B 1726 2016 291 11 0 .855 .69 3.95 .521 .515 .702 2.64 .429 -.037 2 7 SMU04A 1621 2016 396 16 0 .766 .72 4.32 .665 .703 .661 2.61 .393 -.007 1 8 SMU04B 1651 2015 365 14 0 .734 .60 2.85 .497 .607 .724 2.58 .319 -.011 1 9 SMU05A 1870 2016 147 6 0 .725 .80 3.21 .706 .606 .717 2.50 .475 -.037 1 10 SMU05B 1900 2016 117 4 0 .694 .62 2.18 .546 .652 .836 2.49 .442 -.005 1 11 SMU06A 1861 2016 156 6 0 .849 .93 2.88 .736 .612 .733 2.53 .449 -.012 1 12 SMU06B 1872 2016 145 6 0 .852 1.13 3.42 .833 .651 .679 2.58 .483 -.019 2 13 SMU07A 1740 2016 277 11 0 .776 .63 2.57 .502 .550 .722 2.70 .458 -.010 2 14 SMU07B 1729 2014 286 11 0 .741 .61 2.17 .488 .593 .783 2.60 .388 -.008 1 15 SMU08A 1770 2016 247 10 0 .716 .50 1.89 .375 .432 .839 2.58 .404 -.036 1 16 SMU08B 1770 2016 247 10 0 .698 .48 1.50 .349 .421 .837 2.48 .374 -.024 1 17 SMU09B 1870 2016 147 6 0 .662 .47 1.90 .362 .536 .820 2.50 .417 -.024 1 18 SMU10A 1922 2016 95 4 0 .685 1.82 6.66 1.493 .835 .504 2.59 .444 -.011 1 19 SMU10B 1922 2016 95 4 0 .660 2.10 8.78 1.832 .822 .536 2.64 .485 .030 1 20 SMU11A 1871 2016 146 6 0 .807 1.10 4.06 .763 .533 .591 2.58 .519 -.022 1 21 SMU11B 1870 2016 147 6 0 .799 1.20 4.07 .847 .633 .650 2.65 .578 -.036 1 22 SMU12A 1958 2016 59 2 0 .669 2.46 6.64 1.560 .823 .436 2.37 .423 -.025 1 23 SMU12B 1964 2016 53 2 0 .694 3.00 8.73 1.822 .775 .446 2.37 .509 -.017 1 24 SMP011 1687 1986 300 12 0 .852 .08 .32 .060 .644 .619 2.63 .405 -.006 1 25 SMP012 1719 1986 268 11 0 .887 .12 .42 .087 .647 .608 2.61 .363 .010 1 26 SMP021 1688 1949 262 10 0 .824 .08 .42 .068 .720 .660 2.75 .417 .008 3 27 SMP022 1721 1950 230 10 0 .806 .11 .64 .119 .814 .628 2.73 .426 -.006 2 28 SMP031 1694 1986 293 12 0 .837 .11 .44 .082 .776 .544 2.66 .391 -.033 1 29 SMP032 1669 1986 318 13 0 .827 .13 .44 .091 .763 .501 2.48 .327 -.025 1 30 SMP041 1695 1986 292 12 0 .858 .11 .38 .078 .732 .608 2.70 .393 -.053 1 31 SMP042 1677 1986 310 12 0 .868 .10 .32 .073 .750 .560 2.64 .383 .008 2 32 SMP051 1690 1986 297 12 0 .821 .08 .32 .061 .681 .713 2.70 .424 -.031 1 33 SMP052 1661 1986 326 13 0 .832 .10 .47 .077 .725 .641 2.77 .390 -.025 1 34 SMP061 1747 1986 240 10 0 .838 .07 .25 .052 .690 .533 2.63 .435 -.046 1 35 SMP062 1677 1986 310 12 0 .827 .06 .31 .052 .706 .698 2.67 .438 -.025 1 36 SMP071 1829 1986 158 6 0 .859 .10 .36 .076 .754 .657 2.64 .441 -.068 1 37 SMP072 1828 1986 159 6 0 .833 .07 .29 .062 .784 .668 2.68 .545 -.059 1 38 SMP081 1690 1986 297 12 0 .831 .08 .48 .080 .765 .750 2.60 .356 -.033 2 39 SMP082 1664 1986 323 13 0 .885 .09 .43 .075 .701 .703 2.57 .356 -.019 2 40 SMP091 1728 1986 259 10 0 .782 .13 .37 .086 .566 .627 2.51 .428 .014 1 41 SMP092 1714 1986 273 11 0 .794 .11 .35 .070 .548 .648 2.56 .347 .015 1 42 SMP101 1795 1986 192 8 0 .877 .06 .19 .040 .594 .611 2.57 .441 -.014 1 43 SMP111 1660 1986 327 13 0 .836 .10 .55 .104 .817 .659 2.60 .345 -.029 1 44 SMP112 1660 1986 327 13 0 .893 .11 .45 .096 .780 .612 2.63 .392 .003 1 45 SMP121 1808 1986 179 7 0 .812 .13 .29 .058 .482 .421 2.35 .304 -.039 1 46 SMP122 1788 1986 199 8 0 .784 .10 .21 .044 .402 .436 2.48 .403 .004 1 47 SMP131 1811 1986 176 7 0 .839 .17 .39 .080 .533 .421 2.52 .425 -.017 1 48 SMP132 1802 1986 185 7 0 .872 .12 .32 .060 .548 .469 2.50 .313 -.010 1 PART 7: DESCRIPTIVE STATISTICS: Slate Mountain Update 14:17 Mon 02 Aug 2021 Page 12 ----------------------------------------------------------------------------------------------------------------------------------- Corr //-------- Unfiltered --------\\ //---- Filtered -----\\ No. No. No. with Mean Max Std Auto Mean Max Std Auto AR Seq Series Interval Years Segmt Flags Master msmt msmt dev corr sens value dev corr () --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- 49 SMP141 1760 1986 227 9 0 .813 .11 .41 .083 .753 .581 2.48 .326 -.022 1 50 SMP142 1748 1986 239 10 0 .808 .14 .42 .087 .649 .575 2.52 .321 -.023 1 51 SMP151 1709 1986 278 11 0 .795 .07 .27 .050 .623 .648 2.66 .377 -.015 1 52 SMP152 1660 1986 327 13 0 .758 .06 .34 .058 .732 .683 2.53 .337 -.023 2 53 SMP161 1698 1986 289 12 0 .886 .08 .24 .055 .539 .671 2.65 .452 -.026 1 54 SMP162 1661 1986 326 13 0 .884 .08 .35 .055 .565 .703 2.58 .388 .002 1 55 SMP171 1722 1986 265 11 0 .876 .07 .25 .054 .466 .735 2.67 .424 -.018 1 56 SMP172 1667 1986 320 13 0 .871 .07 .25 .052 .539 .732 2.60 .410 -.006 1 57 SMP181 1672 1986 315 13 0 .792 .06 .37 .062 .734 .816 2.59 .397 -.057 1 58 SMP182 1656 1986 331 13 0 .827 .08 .42 .071 .735 .717 2.65 .388 -.016 3 59 SMP191 1590 1986 397 15 0 .803 .08 .42 .082 .803 .734 2.64 .383 .001 1 60 SMP192 1601 1986 386 15 0 .820 .09 .52 .100 .790 .750 2.61 .363 .003 1 --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- Total or mean: 14348 571 0 .813 .38 15.17 .280 .660 .656 2.77 .399 -.019