Sapinero Mesa, Colorado, USA - CO623 Additional information Connie A. Woodhouse Jeff Lukas Gary Bolton Purpose of Collection: Climatology Detrend method: Negative exponential or linear regression of any slope, or 2/3-length spline. Detrending was done interactively, and if a negative exponential or lenear regression fit poorly, a 2/3-length spline was used. Cores are stored at: Institute of Arctic and Alpine Research, University of Colorado Reference: Woodhouse, Connie A.; Gray, Stephen T.; Meko, David M. 2006. Updated streamflow reconstructions for the Upper Colorado River Basin. Water Resources Research 42(5), W05415. COFECHA output: Chronology file name : CO623.CRN Measurement file name : CO623.RWL Date checked : 21JUN06 Checked by : B. Bauer Beginning year : 1511 Ending year : 2000 Principal investigators: Connie A. Woodhouse Jeff Lukas Gary Bolton Site name : Sapinero Mesa Site location : Colorado Species information : PIPO PONDEROSA PINE Latitude : 3819 Longitude : -10712 Elevation : 2700m Series intercorrelation: 0.794 Avg mean sensitivity : 0.452 Avg standard deviation : 0.350 Avg autocorrelation : 0.683 Number dated series : 24 Segment length tested : 50 Number problem segments: 0 Pct problem segments : 0.00 PART 5: CORRELATION OF SERIES BY SEGMENTS: Sapinero Mesa 14:47 Wed 21 Jun 2006 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 1575 1600 1625 1650 1675 1700 1725 1750 1775 1800 1825 1850 1875 1900 1925 1950 1975 1624 1649 1674 1699 1724 1749 1774 1799 1824 1849 1874 1899 1924 1949 1974 1999 2024 --- -------- --------- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- 1 sap211 1708 2000 .61 .69 .79 .83 .81 .84 .88 .88 .85 .81 .78 .78 2 sap221 1660 1945 .83 .84 .76 .73 .78 .80 .83 .84 .80 .64 .63 3 sap212 1753 2000 .84 .79 .67 .75 .86 .79 .79 .86 .78 .78 4 sap222 1663 2000 .80 .84 .80 .78 .81 .79 .80 .86 .82 .59 .65 .79 .79 .81 5 sap021 1653 2000 .92 .89 .86 .87 .91 .74 .64 .71 .80 .92 .93 .86 .80 .80 6 sap022 1656 2000 .87 .88 .86 .91 .88 .84 .83 .83 .88 .91 .92 .89 .86 .86 7 sap031 1599 1800 .68 .66 .88 .90 .86 .75 .70 .78 .78 8 sap031 1840 2000 .70 .69 .79 .85 .87 .73 .73 9 sap231 1673 2000 .69 .70 .75 .76 .81 .77 .80 .87 .88 .88 .79 .77 .82 .81 10 sap232 1667 2000 .79 .78 .70 .74 .80 .79 .68 .71 .83 .86 .74 .69 .72 .71 11 sap241 1690 2000 .72 .76 .76 .81 .78 .71 .74 .72 .73 .80 .79 .67 .66 12 sap242 1721 2000 .79 .79 .81 .74 .71 .74 .72 .79 .82 .80 .60 .60 13 sap032 1615 2000 .82 .83 .88 .88 .80 .78 .80 .68 .63 .60 .77 .90 .89 .92 .75 .76 14 sap121 1654 1793 .79 .81 .87 .85 .75 15 sap121 1831 2000 .80 .84 .86 .82 .68 .61 .61 16 sap122 1620 1793 .84 .84 .91 .85 .84 .86 .85 17 sap122 1831 2000 .88 .90 .92 .85 .83 .86 .86 18 sap131 1620 2000 .81 .81 .85 .84 .82 .84 .84 .84 .88 .81 .84 .83 .80 .86 .84 .85 19 sap132 1614 2000 .70 .76 .83 .89 .87 .82 .70 .61 .79 .82 .88 .88 .87 .90 .83 .83 20 sap011 1511 1701 .57 .55 .60 .68 .71 21 sap011 1820 2000 .83 .81 .83 .80 .86 .81 .64 .65 22 sap012 1680 1998 .67 .69 .63 .65 .51 .51 .77 .80 .82 .77 .59 .53 23 sap111 1713 2000 .73 .70 .73 .81 .84 .88 .90 .87 .84 .89 .90 .90 24 sap112 1790 2000 .74 .74 .85 .79 .79 .86 .87 .81 .81 Av segment correlation .62 .73 .79 .83 .81 .78 .78 .80 .76 .75 .79 .82 .82 .82 .82 .75 .77 PART 7: DESCRIPTIVE STATISTICS: Sapinero Mesa 14:47 Wed 21 Jun 2006 Page 10 ----------------------------------------------------------------------------------------------------------------------------------- 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 sap211 1708 2000 293 12 0 .785 .67 1.80 .293 .658 .320 2.51 .386 -.042 1 2 sap221 1660 1945 286 11 0 .775 .74 2.57 .519 .760 .417 2.56 .390 -.020 1 3 sap212 1753 2000 248 10 0 .794 .62 1.73 .329 .815 .315 2.55 .410 -.031 2 4 sap222 1663 2000 338 14 0 .791 .64 2.90 .497 .760 .469 2.75 .404 -.035 1 5 sap021 1653 2000 348 14 0 .836 .68 2.23 .412 .753 .376 2.52 .359 -.032 1 6 sap022 1656 2000 345 14 0 .867 .57 2.26 .379 .789 .388 2.63 .378 -.039 1 7 sap031 1599 1800 202 9 0 .784 1.06 3.82 .889 .877 .416 2.37 .245 -.049 1 8 sap031 1840 2000 161 7 0 .783 .30 .68 .141 .404 .535 2.50 .401 -.033 2 9 sap231 1673 2000 328 14 0 .772 .43 1.42 .264 .653 .424 2.62 .387 -.058 1 10 sap232 1667 2000 334 14 0 .750 .50 1.63 .254 .611 .342 2.63 .341 -.017 1 11 sap241 1690 2000 311 13 0 .737 .65 2.49 .349 .654 .343 2.78 .379 .019 1 12 sap242 1721 2000 280 12 0 .737 .72 2.25 .371 .653 .380 2.68 .324 -.030 1 13 sap032 1615 2000 386 16 0 .813 .40 2.37 .343 .778 .568 2.39 .253 -.030 1 14 sap121 1654 1793 140 5 0 .781 .66 1.85 .425 .667 .496 2.48 .499 -.045 1 15 sap121 1831 2000 170 7 0 .820 .19 .49 .102 .431 .583 2.57 .467 -.022 1 16 sap122 1620 1793 174 7 0 .854 .62 1.95 .345 .578 .431 2.49 .348 -.029 1 17 sap122 1831 2000 170 7 0 .870 .31 .80 .149 .598 .409 2.62 .431 -.066 1 18 sap131 1620 2000 381 16 0 .808 .50 3.84 .490 .814 .530 2.66 .358 -.013 1 19 sap132 1614 2000 387 16 0 .821 .42 2.50 .392 .795 .584 2.69 .389 -.017 1 20 sap011 1511 1701 191 5 0 .673 .87 2.73 .466 .654 .368 2.64 .387 -.037 1 21 sap011 1820 2000 181 8 0 .789 .25 .59 .124 .490 .492 2.60 .402 -.045 2 22 sap012 1680 1998 319 12 0 .717 .22 1.03 .134 .386 .660 2.59 .341 -.017 3 23 sap111 1713 2000 288 12 0 .836 .44 1.71 .267 .678 .471 2.74 .419 -.039 1 24 sap112 1790 2000 211 9 0 .813 .39 1.24 .257 .726 .516 2.59 .425 -.040 1 --- -------- --------- ----- ----- ----- ------ ----- ----- ----- ----- ----- ----- ----- ----- -- Total or mean: 6472 264 0 .794 .54 3.84 .350 .683 .452 2.78 .373 -.030