# Rio Grande 500 Year Riverflow and Precipitation Reconstructions #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite original reference when using these data, # plus the Online Resource and date accessed. # # Online_Resource: http://hurricane.ncdc.noaa.gov/pls/paleox/f?p=519:1:::::P1_STUDY_ID:14249 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/treering/reconstructions/northamerica/riogrande2013flow.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions #-------------------- # Contribution_Date # Date: 2013-04-16 #-------------------- # Title # Study_Name: Rio Grande 500 Year Riverflow and Precipitation Reconstructions #-------------------- # Investigators # Investigators: Woodhouse, C.A.; Meko, D.M.; Griffin, D.; Castro, C.L. #-------------------- # Description_and_Notes # Description: Tree Ring-based reconstructions of upper and lower Rio Grande Basin precipitation # and riverflow for the past 500 years. Reconstructed Rio Grande Water Year Flow at Del Norte, CO, # in both acre feet and cubic meters per second, plus Reconstructed June-July total precipitation # in millimeters, are presented. #-------------------- # Publication # Authors: Woodhouse, C.A., D.M. Meko, D. Griffin, and C.L. Castro # Published_Date_or_Year: 2013-02-08 # Published_Title: Tree rings and multiseason drought variability in the lower Rio Grande Basin, USA. # Journal_Name: Water Resources Research # Volume: 49 # Edition: # Issue: 2 # Pages: 844-850 # DOI: 10.1002/wrcr.20098 # Abstract: Agriculture and ranching in semiarid regions often rely on local precipitation during the growing season as well as streamflow from runoff in distant headwaters. Where snowpack and reservoir storage are important, this pattern of reliance leads to vulnerability to multiseason drought. The lower Rio Grande basin in New Mexico, used as a case study here, has experienced drought conditions over the past 12 years characterized both by low local summer monsoon precipitation and by reduced availability of surface water supplies from the upper Rio Grande. To place this drought in a long-term context, we evaluate the covariability of local warm-season and remote cool-season hydroclimate over both the modern period and past centuries. We draw on a recently developed network of tree-ring data that allows an assessment of preinstrumental warm-season variations in precipitation over the southwest. Both instrumental and paleoclimatic data suggest that low runoff followed by a dry monsoon is not unusual, although over the full reconstruction period (1659-2008), years with wet or dry conditions shared in both seasons do not occur significantly more often than unshared conditions. Low flows followed by dry monsoon conditions were most persistent in the 1770s and 1780s; other notable periods of shared seasonal droughts occurred in the 1660s and 1950s. The recent drought does not yet appear to be unusually severe in either the instrumental or paleoclimatic context. #-------------------- # Publication # Authors: Connie A. Woodhouse, David W. Stahle, José Villanueva Díaz # Published_Date_or_Year: 2012-03-07 # Published_Title: Rio Grande and Rio Conchos water supply variability over the past 500 years # Journal_Name: Climate Research # Volume: 51 # Edition: # Issue: 2 # Pages: 125-136 # DOI: 10.3354/cr01059 # Abstract: The Rio Grande is a major source of water for parts of Mexico and the USA. The 2 main source regions for the Rio Grande system are the San Juan Mountains of the southern Rocky Mountains and the Sierra Madre Occidental in Mexico, which is the headwaters for the Rio Conchos, the largest tributary of the Rio Grande. Precipitation and streamflow from these 2 source regions are largely independent of each other; winter snowpack is the dominant contributor to the annual streamflow north of the USA-Mexico border, and the North American monsoon is a key factor in the Rio Conchos basin. Reconstructions of water year (October-September) streamflow for a gauge in the upper Rio Grande, 1508-2002, and of October-July precipitation in the Rio Conchos watershed region, 1649-1993, also indicate a lack of correlation between the 2 basins over century time scales. Despite this lack of correlation, periods of concurrent multiyear drought have occurred over the past 4 centuries, most notably in the 1770s, 1890s and 1950s. These rare concurrent droughts in the upper Rio Grande and Rio Conchos source regions may arise from large-scale forcing out of the Pacific Ocean and will be relevant to the binational planning of these water resources, which serve a large and growing population of users. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: 0823090 #------------------ # Funding_Agency # Funding_Agency_Name: US Envronmental Protection Agency # Grant: STAR Fellowship #------------------ # Site_Information # Site_Name: Upper Rio Grande USGS 08220000 # Location: North America>United States Of America>Colorado # Country: United States Of America # Northernmost_Latitude: 37.6886 # Southernmost_Latitude: 37.6886 # Easternmost_Longitude: -106.4599 # Westernmost_Longitude: -106.4599 # Elevation: 2432 m #------------------ # Data_Collection # Collection_Name: RioGrande2013flow # Earliest_Year: 1508 # Most_Recent_Year: 2002 # Time_Unit: AD # Core_Length: m # Notes: #------------------ # Chronology: # # # #---------------- # Variables # # Data variables follow (have no #) # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) age_AD age, , , AD, , , , ,N flow-obs-af Streamflow, , , acre feet, water year, , , observed,N flow-obs-m3s Streamflow, , , cubic meters per second, water year, , , observed,N flow-rec-af Streamflow, , , acre feet, water year, , , reconstructed,N flow-rec-m3s Streamflow, , , cubic meters per second, water year, , , reconstructed,N #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: -9999 age_AD flow-obs-af flow-obs-m3s flow-rec-af flow-rec-m3s 1508 -9999 -9999 725197 28.346 1509 -9999 -9999 886801 34.663 1510 -9999 -9999 544436 21.281 1511 -9999 -9999 630517 24.645 1512 -9999 -9999 766075 29.944 1513 -9999 -9999 674767 26.375 1514 -9999 -9999 837170 32.723 1515 -9999 -9999 485121 18.962 1516 -9999 -9999 496802 19.419 1517 -9999 -9999 649025 25.369 1518 -9999 -9999 701351 27.414 1519 -9999 -9999 600412 23.469 1520 -9999 -9999 662286 25.887 1521 -9999 -9999 1055298 41.249 1522 -9999 -9999 358090 13.997 1523 -9999 -9999 808475 31.601 1524 -9999 -9999 743500 29.062 1525 -9999 -9999 635133 24.826 1526 -9999 -9999 887515 34.691 1527 -9999 -9999 583618 22.812 1528 -9999 -9999 473176 18.495 1529 -9999 -9999 687286 26.864 1530 -9999 -9999 627511 24.528 1531 -9999 -9999 546349 21.355 1532 -9999 -9999 371485 14.52 1533 -9999 -9999 716621 28.011 1534 -9999 -9999 595974 23.295 1535 -9999 -9999 766034 29.942 1536 -9999 -9999 860790 33.646 1537 -9999 -9999 618386 24.171 1538 -9999 -9999 404680 15.818 1539 -9999 -9999 667137 26.077 1540 -9999 -9999 819534 32.034 1541 -9999 -9999 624817 24.423 1542 -9999 -9999 276592 10.811 1543 -9999 -9999 702725 27.468 1544 -9999 -9999 523738 20.472 1545 -9999 -9999 431089 16.85 1546 -9999 -9999 695558 27.188 1547 -9999 -9999 506585 19.801 1548 -9999 -9999 766961 29.979 1549 -9999 -9999 940633 36.767 1550 -9999 -9999 673796 26.337 1551 -9999 -9999 531969 20.793 1552 -9999 -9999 705116 27.561 1553 -9999 -9999 809862 31.655 1554 -9999 -9999 532740 20.823 1555 -9999 -9999 724664 28.325 1556 -9999 -9999 763533 29.845 1557 -9999 -9999 817674 31.961 1558 -9999 -9999 311603 12.18 1559 -9999 -9999 655065 25.605 1560 -9999 -9999 745087 29.124 1561 -9999 -9999 545564 21.325 1562 -9999 -9999 490496 19.172 1563 -9999 -9999 603098 23.574 1564 -9999 -9999 722152 28.227 1565 -9999 -9999 865966 33.848 1566 -9999 -9999 513782 20.082 1567 -9999 -9999 464231 18.146 1568 -9999 -9999 833752 32.589 1569 -9999 -9999 680837 26.612 1570 -9999 -9999 751789 29.386 1571 -9999 -9999 619329 24.208 1572 -9999 -9999 761630 29.77 1573 -9999 -9999 409309 15.999 1574 -9999 -9999 407319 15.921 1575 -9999 -9999 719528 28.125 1576 -9999 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33.383 1609 -9999 -9999 760276 29.717 1610 -9999 -9999 898964 35.138 1611 -9999 -9999 648965 25.366 1612 -9999 -9999 553346 21.629 1613 -9999 -9999 653989 25.563 1614 -9999 -9999 688334 26.905 1615 -9999 -9999 805467 31.484 1616 -9999 -9999 605478 23.667 1617 -9999 -9999 830112 32.447 1618 -9999 -9999 862669 33.72 1619 -9999 -9999 668903 26.146 1620 -9999 -9999 730661 28.56 1621 -9999 -9999 669629 26.174 1622 -9999 -9999 417139 16.305 1623 -9999 -9999 385632 15.073 1624 -9999 -9999 350308 13.693 1625 -9999 -9999 372091 14.544 1626 -9999 -9999 491599 19.215 1627 -9999 -9999 796727 31.142 1628 -9999 -9999 556883 21.767 1629 -9999 -9999 598864 23.408 1630 -9999 -9999 810155 31.667 1631 -9999 -9999 300592 11.749 1632 -9999 -9999 518192 20.255 1633 -9999 -9999 792616 30.981 1634 -9999 -9999 539940 21.105 1635 -9999 -9999 651393 25.461 1636 -9999 -9999 524140 20.487 1637 -9999 -9999 675658 26.41 1638 -9999 -9999 539840 21.101 1639 -9999 -9999 856142 33.464 1640 -9999 -9999 772008 30.176 1641 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841320 32.885 1674 -9999 -9999 802150 31.354 1675 -9999 -9999 408574 15.97 1676 -9999 -9999 690941 27.007 1677 -9999 -9999 751317 29.367 1678 -9999 -9999 905112 35.379 1679 -9999 -9999 502180 19.629 1680 -9999 -9999 927576 36.257 1681 -9999 -9999 659190 25.766 1682 -9999 -9999 419788 16.408 1683 -9999 -9999 801534 31.33 1684 -9999 -9999 328196 12.828 1685 -9999 -9999 139763 5.463 1686 -9999 -9999 665085 25.997 1687 -9999 -9999 613160 23.967 1688 -9999 -9999 751725 29.383 1689 -9999 -9999 940770 36.772 1690 -9999 -9999 681751 26.648 1691 -9999 -9999 742548 29.024 1692 -9999 -9999 705849 27.59 1693 -9999 -9999 825563 32.269 1694 -9999 -9999 364566 14.25 1695 -9999 -9999 593880 23.213 1696 -9999 -9999 508020 19.857 1697 -9999 -9999 757702 29.617 1698 -9999 -9999 871552 34.067 1699 -9999 -9999 848243 33.156 1700 -9999 -9999 413298 16.155 1701 -9999 -9999 851462 33.282 1702 -9999 -9999 655185 25.61 1703 -9999 -9999 572710 22.386 1704 -9999 -9999 437018 17.082 1705 -9999 -9999 774603 30.277 1706 -9999 -9999 559701 21.877 1707 -9999 -9999 476045 18.607 1708 -9999 -9999 592296 23.151 1709 -9999 -9999 651457 25.464 1710 -9999 -9999 885055 34.595 1711 -9999 -9999 703607 27.502 1712 -9999 -9999 698108 27.287 1713 -9999 -9999 594149 23.224 1714 -9999 -9999 344883 13.481 1715 -9999 -9999 663152 25.921 1716 -9999 -9999 593339 23.192 1717 -9999 -9999 628961 24.585 1718 -9999 -9999 701119 27.405 1719 -9999 -9999 637736 24.928 1720 -9999 -9999 1138902 44.517 1721 -9999 -9999 552570 21.599 1722 -9999 -9999 386222 15.096 1723 -9999 -9999 501320 19.595 1724 -9999 -9999 768649 30.045 1725 -9999 -9999 932501 36.449 1726 -9999 -9999 969913 37.911 1727 -9999 -9999 729547 28.516 1728 -9999 -9999 502036 19.623 1729 -9999 -9999 254196 9.936 1730 -9999 -9999 621321 24.286 1731 -9999 -9999 566294 22.135 1732 -9999 -9999 597465 23.353 1733 -9999 -9999 591465 23.119 1734 -9999 -9999 881857 34.47 1735 -9999 -9999 207934 8.128 1736 -9999 -9999 761536 29.767 1737 -9999 -9999 435495 17.022 1738 -9999 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29.155 1771 -9999 -9999 847208 33.115 1772 -9999 -9999 437417 17.098 1773 -9999 -9999 242727 9.488 1774 -9999 -9999 617323 24.13 1775 -9999 -9999 653188 25.531 1776 -9999 -9999 537968 21.028 1777 -9999 -9999 408311 15.96 1778 -9999 -9999 395583 15.462 1779 -9999 -9999 693806 27.119 1780 -9999 -9999 279368 10.92 1781 -9999 -9999 656678 25.668 1782 -9999 -9999 548027 21.421 1783 -9999 -9999 770004 30.098 1784 -9999 -9999 865637 33.836 1785 -9999 -9999 649811 25.399 1786 -9999 -9999 386739 15.117 1787 -9999 -9999 885424 34.609 1788 -9999 -9999 518801 20.279 1789 -9999 -9999 506583 19.801 1790 -9999 -9999 917488 35.862 1791 -9999 -9999 796365 31.128 1792 -9999 -9999 702623 27.464 1793 -9999 -9999 728310 28.468 1794 -9999 -9999 470629 18.396 1795 -9999 -9999 543891 21.259 1796 -9999 -9999 654355 25.577 1797 -9999 -9999 750544 29.337 1798 -9999 -9999 352961 13.796 1799 -9999 -9999 749509 29.296 1800 -9999 -9999 693066 27.09 1801 -9999 -9999 499184 19.512 1802 -9999 -9999 764099 29.867 1803 -9999 -9999 564663 22.071 1804 -9999 -9999 629406 24.602 1805 -9999 -9999 421777 16.486 1806 -9999 -9999 540943 21.144 1807 -9999 -9999 764992 29.902 1808 -9999 -9999 661983 25.875 1809 -9999 -9999 522115 20.408 1810 -9999 -9999 635879 24.855 1811 -9999 -9999 750591 29.339 1812 -9999 -9999 672985 26.305 1813 -9999 -9999 461260 18.03 1814 -9999 -9999 749633 29.301 1815 -9999 -9999 705370 27.571 1816 -9999 -9999 850950 33.262 1817 -9999 -9999 822116 32.134 1818 -9999 -9999 368230 14.393 1819 -9999 -9999 564360 22.059 1820 -9999 -9999 381383 14.907 1821 -9999 -9999 728741 28.485 1822 -9999 -9999 334377 13.07 1823 -9999 -9999 769584 30.081 1824 -9999 -9999 428253 16.739 1825 -9999 -9999 579204 22.64 1826 -9999 -9999 763098 29.828 1827 -9999 -9999 666487 26.051 1828 -9999 -9999 1032202 40.346 1829 -9999 -9999 509573 19.918 1830 -9999 -9999 584081 22.83 1831 -9999 -9999 869228 33.976 1832 -9999 -9999 728641 28.481 1833 -9999 -9999 688628 26.917 1834 -9999 -9999 459064 17.944 1835 -9999 -9999 830131 32.448 1836 -9999 -9999 848167 33.153 1837 -9999 -9999 935699 36.574 1838 -9999 -9999 875716 34.23 1839 -9999 -9999 770451 30.115 1840 -9999 -9999 678644 26.527 1841 -9999 -9999 800515 31.29 1842 -9999 -9999 412432 16.121 1843 -9999 -9999 592958 23.177 1844 -9999 -9999 670668 26.215 1845 -9999 -9999 339652 13.276 1846 -9999 -9999 439166 17.166 1847 -9999 -9999 311902 12.191 1848 -9999 -9999 670132 26.194 1849 -9999 -9999 1166064 45.579 1850 -9999 -9999 923503 36.097 1851 -9999 -9999 227068 8.876 1852 -9999 -9999 855408 33.436 1853 -9999 -9999 851392 33.279 1854 -9999 -9999 709598 27.736 1855 -9999 -9999 612675 23.948 1856 -9999 -9999 743008 29.042 1857 -9999 -9999 599564 23.435 1858 -9999 -9999 740973 28.963 1859 -9999 -9999 546178 21.349 1860 -9999 -9999 829188 32.411 1861 -9999 -9999 151288 5.913 1862 -9999 -9999 1005932 39.319 1863 -9999 -9999 677691 26.489 1864 -9999 -9999 429560 16.79 1865 -9999 -9999 754908 29.507 1866 -9999 -9999 926116 36.2 1867 -9999 -9999 1001320 39.139 1868 -9999 -9999 843152 32.957 1869 -9999 -9999 690655 26.996 1870 -9999 -9999 411870 16.099 1871 -9999 -9999 357020 13.955 1872 -9999 -9999 763298 29.835 1873 -9999 -9999 535473 20.93 1874 -9999 -9999 495775 19.379 1875 -9999 -9999 522929 20.44 1876 -9999 -9999 606392 23.702 1877 -9999 -9999 617829 24.149 1878 -9999 -9999 487471 19.054 1879 -9999 -9999 273210 10.679 1880 -9999 -9999 463507 18.117 1881 -9999 -9999 424065 16.576 1882 -9999 -9999 439649 17.185 1883 -9999 -9999 398722 15.585 1884 -9999 -9999 909609 35.554 1885 -9999 -9999 849633 33.21 1886 -9999 -9999 667940 26.108 1887 -9999 -9999 413900 16.178 1888 -9999 -9999 627378 24.523 1889 -9999 -9999 532122 20.799 1890 804000 31.426 702237 27.449 1891 834000 32.599 781231 30.536 1892 585000 22.866 605426 23.665 1893 392000 15.322 388550 15.187 1894 413000 16.143 515005 20.13 1895 638000 24.938 801908 31.345 1896 492000 19.231 335102 13.098 1897 729000 28.495 697636 27.269 1898 912000 35.648 706121 27.601 1899 368000 14.384 267443 10.454 1900 524000 20.482 637513 24.919 1901 482000 18.84 479500 18.742 1902 255000 9.967 181003 7.075 1903 777000 30.371 897706 35.089 1904 339000 13.251 447073 17.475 1905 928000 36.273 823854 32.202 1906 900000 35.179 745018 29.121 1907 1140000 44.56 835555 32.66 1908 593000 23.179 533327 20.846 1909 857000 33.498 748422 29.254 1910 691000 27.009 746833 29.192 1911 922000 36.039 820492 32.071 1912 970000 37.915 747999 29.237 1913 541600 21.17 505055 19.741 1914 801000 31.309 1013836 39.628 1915 687000 26.853 686104 26.818 1916 825000 32.247 731564 28.595 1917 1010000 39.478 875735 34.23 1918 527000 20.599 653368 25.539 1919 764000 29.863 722531 28.242 1920 996000 38.931 894249 34.954 1921 1020000 39.869 957669 37.433 1922 984000 38.462 696717 27.233 1923 781000 30.527 591993 23.14 1924 834000 32.599 791711 30.946 1925 653000 25.524 494648 19.335 1926 711000 27.791 788561 30.823 1927 898000 35.101 620655 24.26 1928 740000 28.925 692898 27.084 1929 857000 33.498 719334 28.117 1930 598000 23.374 712248 27.84 1931 358000 13.993 469710 18.36 1932 891000 34.827 855702 33.447 1933 500000 19.544 526646 20.585 1934 338200 13.219 388618 15.19 1935 679000 26.54 766338 29.954 1936 475500 18.586 541071 21.149 1937 572800 22.389 701173 27.407 1938 791900 30.953 827905 32.361 1939 561700 21.955 591898 23.136 1940 299500 11.707 418623 16.363 1941 948300 37.067 987429 38.596 1942 925600 36.179 831006 32.482 1943 504700 19.727 518135 20.253 1944 849700 33.213 771025 30.137 1945 544900 21.299 597574 23.358 1946 417200 16.307 441140 17.243 1947 621700 24.301 803097 31.391 1948 933800 36.5 725247 28.348 1949 912600 35.671 906829 35.446 1950 488500 19.094 412893 16.139 1951 310400 12.133 410274 16.037 1952 810200 31.669 825002 32.247 1953 415700 16.249 442537 17.298 1954 370800 14.494 521630 20.389 1955 382800 14.963 655126 25.607 1956 340700 13.317 293278 11.464 1957 801200 31.317 930508 36.371 1958 750700 29.343 656851 25.675 1959 347500 13.583 293636 11.478 1960 624200 24.398 694092 27.13 1961 478300 18.696 505204 19.747 1962 771400 30.152 739272 28.896 1963 341400 13.344 531633 20.78 1964 372200 14.548 460412 17.996 1965 880100 34.401 917306 35.855 1966 624100 24.395 647058 25.292 1967 401300 15.686 604059 23.611 1968 659100 25.763 652295 25.497 1969 627903 24.543 747939 29.235 1970 669961 26.187 721783 28.213 1971 497444 19.444 552319 21.589 1972 469602 18.356 464474 18.155 1973 846699 33.095 792429 30.974 1974 350455 13.698 469234 18.341 1975 786565 30.745 737810 28.839 1976 602387 23.546 587132 22.95 1977 225458 8.813 237328 9.277 1978 395329 15.452 756535 29.571 1979 956773 37.398 873530 34.144 1980 750285 29.327 683135 26.702 1981 381253 14.902 398579 15.579 1982 675955 26.421 664590 25.977 1983 707685 27.662 974573 38.094 1984 747238 29.208 705322 27.569 1985 979605 38.29 883105 34.518 1986 1026689 40.131 919701 35.949 1987 1073020 41.942 842572 32.934 1988 441608 17.261 512874 20.047 1989 496097 19.391 589565 23.045 1990 492110 19.235 489313 19.126 1991 639526 24.997 780110 30.493 1992 489433 19.131 649707 25.395 1993 651774 25.476 766109 29.945 1994 522420 20.42 506074 19.781 1995 842688 32.939 876138 34.246 1996 399515 15.616 371244 14.511 1997 872175 34.091 890112 34.792 1998 637838 24.932 656752 25.671 1999 911775 35.639 824593 32.231 2000 421533 16.477 523745 20.472 2001 730749 28.563 574511 22.456 2002 164035 6.412 73890 2.888