TreeFlow Colorado Streamflow Reconstructions ----------------------------------------------------------------------- World Data Center for Paleoclimatology, Boulder and NOAA Paleoclimatology Program ----------------------------------------------------------------------- NOTE: PLEASE CITE CONTRIBUTORS WHEN USING THIS DATA!!!!! NAME OF DATA SET: TreeFlow Colorado Streamflow Reconstructions LAST UPDATE: 10/2005 (Seven new gage reconstructions; one reconstruction updated to 2002) CONTRIBUTORS: Connie Woodhouse and Robin Webb, NOAA; Jeff Lukas, University of Colorado IGBP PAGES/WDCA CONTRIBUTION SERIES NUMBER: 2004-029 SUGGESTED DATA CITATION: Woodhouse, C.A., et al. 2004. TreeFlow Colorado Streamflow Reconstructions. IGBP PAGES/World Data Center for Paleoclimatology Data Contribution Series # 2004-029. NOAA/NGDC Paleoclimatology Program, Boulder CO, USA. ORIGINAL REFERENCE: Woodhouse, C.A., and J.J. Lukas. Multi-century tree-ring reconstructions of Colorado streamflow for water resource planning. In review, Climatic Change. GEOGRAPHIC REGION: Colorado, USA, South Platte River, Arkansas River, Colorado River, and Rio Grande Basins PERIOD OF RECORD: 1383-2002 AD DESCRIPTION: Tree-ring-based reconstructions of streamflow at 22 gaging stations in the South Platte River, Arkansas River, Colorado River , and Rio Grande basins of Colorado, USA. For details see the TreeFlow website at: http://www.ncdc.noaa.gov/paleo/streamflow/index.html DATA: Saguache Creek near Saguache Annual (Water Year, Oct-Sep) streamflow reconstruction Values in acre-feet Rec'n = reconstruction Gage = natural flow gage record from Colorado State Engineer To calculate the confidence intervals around the reconstructed streamflows, obtain the root mean squared error (RMSE) provided in the Validation Statistics table on the reconstruction page from which this data file was linked. To calculate the 95% confidence intervals, multiply the RMSE by 1.960, and add the result to each reconstructed flow to generate the upper interval, and subtract it from each reconstructed flow to generate the lower interval. To calculate the 80% confidence intervals, multiply the RMSE by 1.282, and then add and subtract the result as described above. Year Rec'n Gage 1520 58199 1521 81236 1522 14672 1523 59268 1524 57862 1525 44467 1526 65073 1527 45308 1528 16655 1529 49327 1530 54717 1531 55007 1532 33693 1533 59045 1534 39688 1535 52372 1536 80215 1537 44217 1538 26510 1539 54086 1540 73463 1541 49068 1542 24597 1543 54409 1544 44649 1545 43403 1546 43931 1547 35695 1548 64139 1549 58683 1550 48760 1551 36390 1552 45863 1553 65586 1554 57015 1555 67407 1556 63862 1557 67739 1558 25953 1559 46459 1560 58046 1561 37769 1562 32043 1563 41431 1564 41433 1565 61071 1566 47529 1567 26845 1568 61382 1569 56887 1570 54287 1571 50480 1572 59473 1573 39865 1574 32845 1575 58255 1576 28409 1577 55978 1578 36367 1579 39859 1580 21387 1581 33232 1582 34645 1583 32891 1584 19922 1585 42594 1586 42363 1587 48629 1588 75513 1589 72026 1590 13251 1591 43872 1592 45298 1593 36443 1594 64805 1595 65316 1596 56219 1597 34087 1598 22001 1599 75059 1600 37608 1601 51225 1602 51425 1603 64883 1604 69199 1605 58075 1606 59330 1607 30245 1608 70248 1609 45473 1610 68852 1611 35490 1612 33878 1613 39079 1614 45074 1615 57944 1616 56065 1617 66929 1618 74404 1619 55217 1620 48218 1621 43071 1622 30179 1623 14064 1624 10507 1625 32188 1626 32809 1627 55120 1628 25514 1629 52010 1630 59729 1631 15121 1632 40406 1633 57008 1634 42418 1635 47922 1636 32666 1637 46357 1638 27140 1639 69393 1640 63918 1641 47082 1642 61268 1643 61261 1644 58613 1645 15870 1646 60212 1647 64229 1648 42571 1649 68047 1650 57301 1651 57494 1652 24742 1653 31759 1654 29118 1655 71498 1656 59937 1657 50198 1658 33749 1659 48771 1660 50349 1661 73465 1662 46256 1663 48171 1664 24511 1665 49694 1666 39766 1667 57418 1668 10665 1669 49447 1670 43411 1671 45840 1672 45955 1673 54390 1674 58765 1675 27971 1676 39541 1677 52247 1678 71555 1679 32061 1680 68263 1681 41895 1682 26426 1683 61962 1684 23100 1685 6360 1686 41330 1687 38554 1688 54002 1689 66103 1690 41267 1691 55856 1692 65945 1693 70262 1694 24031 1695 34966 1696 40256 1697 55976 1698 77940 1699 66774 1700 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