STREAMFLOW and MONSOON RECONSTRUCTIONS for the LOWER RIO GRANDE BASIN, USA Connie A. Woodhouse (1,2), David M. Meko (2), Daniel Griffin (1, 2), and Christopher L. Castro (3) (1) School of Geography and Development, University of Arizona, Tucson, AZ 85721, (2) Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ 85721, (3) Department of Atmospheric Sciences, University of Arizona, Tucson, AZ 85721 Shared seasonal droughts (droughts occurring in both cool and monsoon seasons of the same year) impact both water supplies and demands. The effects of shared seasonal droughts are compounded in the semi-arid Rio Grande region where water resources are becoming increasingly stressed. Photo: Reclamation Key questions addressed here are: How does drought covary between upper Rio Grande water year streamflow and lower Rio Grande monsoon precipitation, and how common are shared seasonal droughts? The southwestern US is on the northern fringes of the North American monsoon region (upper left), with up to 60% of the annual precipitation falling in JulySeptember. Monsoon regions have been identified by Gochis et al. 2009 and others (numbered blocks). The tree-ring data network (above) can provide information about both monsoon and cool season precipitation by measuring earlywood (EW) and latewood (LW) separately, and removing the dependence of the LW on the EW with regression (Lwa) (left). Correlations shown are based on 4 sites in southeastern Arizona. Over the period of instrumental record, Rio Grande water year flow and New Mexico Division 5 JJA precipitation are uncorrelated (upper right). Over the full reconstruction period, the two records are also uncorrelated (p< 0.01). However, when smoothed, some coherence between the two records is noticeable (lower right). When different decadal periods are examined, it is obvious that while individual years may not match, common period of time may be characterized by wetness or dryness (far right). Monsoon Otowi Flow 1600 Photo: D. Griffin Otowi gage New Mexico Climate Division 5 is outlined in red, LWa chronologies selected as predictors are shown as red triangles. Also shown is the Otowi gage (blue square). Average monthly precipitation totals for Division 5 are shown in the inset. New Mexico Division 5 total precipitation for June-August (map, left) was reconstructed using stepwise multiple linear regression. The onset of the monsoon is captured (June), as well as the two wettest months (July, August)(inset). From a pool of 14 candidate predictors, three adjusted latewood width chronologies were selected in a stepwise regression, which explain 53% of the variance in the instrumental data (upper right). Calibration data are from PRISM (Daly et al. 2008), 1896-2008. Regression assumptions were met, and the validation statistic, RE = 0.500, indicates good skill. The full reconstruction extends to 1600 (lower right), but the reconstruction is most reliable after 1713 when sample number are more robust. RECONSTRUCTION OF UPPER RIO GRANDE FLOW 1660 The Otowi Bridge gage in northern New Mexico, where allocations between New Mexico and Texas are determined, was targeted for reconstruction (red star, map). Water year flow values were estimated from the sum of 10 relatively unimpaired upper basin tributary gages (Colorado Division of Natural Resources) plus the gains on the Rio Grande between Lobatos at the Colorado/New Mexico border and the Otowi gage (USGS) for the years 1958-2002. 39 38 37 36 NM -109 -108 -107 -106 -105 Texas A&M AgriLife Research Center at El Paso, Texas A&M The average of 17 ring-width chronologies, spanning 1450-2002, from CO, northern NM and southeastern UT (green triangles on map) was used as the predictor in a regression equation. The variance explained by the tree-ring chronology average was 0.74 (RE = 0.71) and regression assumptions were met. Percent of average precipitation, June 15-Sept. 12, 2012. From CLIMAS, Climate Assessment for the Southwest 1665 1670 1675 1680 1805 1810 1815 1820 1875 1880 1885 1890 1995 2000 2005 2010 20-year moving average Otowi Flow Monsoon Otowi Flow 1870 OBSERVED Monsoon Rio Grande Del Norte Flow 1990 Sequences of wet/dry/moderate monsoon precipitation and Rio Grande flow years. Colors represent wet (blue), dry(red), and middle (white) tercile values for the two records for select period. The last series shows the last two decades of the instrumental record (Del Norte instead of Otowi because of data availability). CURRENT RIO GRANDE DROUGHT The effects of persistent drought, due to supply deficits and demands, are evident in the reservoir levels for Elephant Butte and Caballoe Reservoirs, the major storage of Rio Grande water in New Mexico (left). SUMMARY By analyzing latewood widths from tree rings, it is possible to reconstruct monsoon precipitation, at least for a portion of the monsoon season. • When Rio Grande streamflow and monsoon observed data and reconstructions are compared, there is no correlation between the two on year-to-year time scales, but over decadal time scales, it appears there is some coherence during some intervals of time. • The occurrence of years with shared flow/monsoon conditions and opposite conditions is variable over time. We find that low runoff followed by a dry monsoon is not unusual, and over the full reconstruction period, wet or dry conditions are shared in both seasons more often than not. The current Rio Grande basin drought, which began in 2000, does not yet appear to be unusually severe in either the instrumental or paleoclimatic context (analysis not shown here). However, the impacts of this ongoing drought have been significant. Demand for water now exceeds supply and climate change projections indicate decreasing winter precipitation in the future. REFERENCES CITED Gochis, D.J., W. Shi, J. Schemm, and R.W. Higgins (2009), A forum for evaluating forecasts of the North American Monsoon: The NAME Forecast Forum. Eos. Transactions, 90(29), July 21, 2009. Top: Observed and reconstructed water year flow, 1958-2008. Bottom: Reconstructed water year flow, 1450-2002, smoothed with a 10-year running average. Observed data, also filtered, in red. 1620 Monsoon Since 2000, nine out of 12 years have experienced below average JJA total precipitation. Of those years, eight, flows have been below average in the upper Rio Grande (Del Norte CO gage). In six years, both flow and monsoon precipitation have been below average. CO 1615 Otowi Flow Chi-square tests indicate the distribution of values for these three periods is not random (p < 0.05). The 2nd half of the 20th century has the largest number of years with opposite conditions, but the difference is not significant (table, right). Top: Observed and reconstructed JJA precipitation, 1896-2008. Bottom: Reconstructed JJA precipitation, 1600-2008, smoothed with a 10-year running average. Observed data, also filtered, in red. 1610 Monsoon When tabulated by half century periods (wet and dry years are again based on terciles) (right), several periods stand out: Early 20th century for shared seasonal wetness, and 18th century (both halves) for higher proportion of shared conditions (wet or dry). Overall, the distribution of values among the 4 categories for all years is not randomly distributed (p < 0.05), suggesting shared conditions are more common than opposite conditions 1605 observed 1800 RECONSTRUCTION OF LOWER RIO GRANDE MONSOON PRECIPITATION 6.543826 2307845 1.695862 6.068428 2259428 5.581424 2540315 5.138255 2421309 7.511608 6.079773 2171983 3.046742 In regions of the world with bi-modal precipitation regimes such as the southwestern US, water users and resource management are vulnerable to multi-season droughts which can have significant impacts on agriculture and ranching as well as on urban water demand. In these regions, knowledge of hydroclimate variability in both seasons is critical for fully understanding drought and its impacts. Tree-ring data have been used extensively to reconstruct past cool season droughts in the Southwest, but until recently, information about monsoon season droughts has been lacking. A new network of tree-ring data (map, far right) now allows investigations of the North American monsoon across the southwestern US, including the Rio Grande basin of New Mexico, the focus of this study. A reconstruction of monsoon precipitation is compared with reconstructed upper Rio Grande flow, which is largely snow-melt dominated, over the past four centuries. Together, analysis of these two reconstructions documents the variability of the dominant surface water supply for the region with warm season precipitation, which also tempers surface water and groundwater demand. 2153770 6.273424 2278093 2259088 3.409708 2063157 1082258 2486921 5.009638 2659322 LOW RIO GRANDE FLOW AND MONSOON DROUGHT 997414 2.858875 3.973974 INTRODUCTION Daly, C., M. Halbleib, J. I. Smith, W. P. Gibson, M. K. Doggett, G. H. Taylor, J. Curtis, and P. A. Pasteris (2008), Physiographicallysensitive mapping of temperature and precipitation across the conterminous United States. Int. J. Climatol, 28, 2031-2064, doi: 10.1002/joc.1688. ACKNOWLEDGMENTS: Research was supported by NSF grant no. 0823090 and an EPA Star Fellowship to D. Griffin.