Why Was Boohbah Canceled, How Far Is Surprise Arizona From Chandler Arizona, Articles C

It reaches a thickness estimated at 16,000 feet in places. The bias-corrected monthly values are then used to rescale the simulated daily flow sequences produced by the hydrologic model to produce bias-corrected daily streamflows. RSUM[Traduit par la rdaction] Le projet de scnarios de changement climatique du bassin du Columbia (CBCCSP) a t conu comme une base de donnes hydrologiques complte pour appuyer les activits de planification, dvaluation des rpercussions et d'adaptation dans la rgion pacifique nordouest menes par une communaut d'utilisateurs diversifie disposant de capacits techniques varies dans une large gamme dchelles spatiales. Post-processing of the primary VIC model output (see Table 2) was carried out to produce a number of specific products discussed in the following sections. Les rsultats de ltude montrent de profonds changements dans l'accumulation de neige au printemps et des dplacements radicaux de neige ou pluie et neige mles vers principalement pluie dans presque tout le domaine. The largest reductions in low flows occur west of the Cascade Range in the simulations. Fine-scale calibration of the model to compensate for such errors, although technically feasible, is of questionable utility, because it essentially ensures that the model is getting something closer to the right answer for the wrong reasons, which in turn has the potential to distort the sensitivity of the model to changing future conditions (Bennett, Werner, & Schnorbus, Citation2012). Among its most useful features is the predominantly physical basis of the model, which largely avoids concerns about parameter stationarity in a changing climate. Detailed water balance summaries and streamflow data for up to 300 river locations to be specified by WDOE and other stakeholders in the region. Additional meteorological forcings needed for hydrologic model simulations (e.g., net incoming long- and shortwave radiation, dew point temperature, etc.) Cited by lists all citing articles based on Crossref citations.Articles with the Crossref icon will open in a new tab. Northeast wind 5 to 10 mph. For the future scenarios, the range of the projections (pink shading) is plotted. Based on these substantial differences in hydrologic impacts it is difficult to escape the conclusion that management of water resources in the Canadian portions of the basin will play a crucial role in the ability of US water managers to adapt to more substantial changes in streamflow timing and summer low flows in the United States. Hydrology and water resources research at CIG was particularly focused on the use of experimental climate and hydrologic forecasts for the CRB (Hamlet & Lettenmaier, Citation1999a, Citation2000; Lettenmaier & Hamlet, Citation2003; Leung, Hamlet, Lettenmaier, & Kumar, Citation1999) in the context of decision support for various water management applications (Hamlet, Huppert, & Lettenmaier, Citation2002; Lee, Hamlet, Fitzgerald, & Burges, Citation2011; Voisin et al., Citation2006). These products are based solely on the HD projections listed in Table 1. A detailed climate change assessment report was prepared by the CIG for Seattle City Light (Snover et al., Citation2010) based primarily on the CBCCSP database. 7 Left panel: Simulated historical 1 April snow water equivalent (SWE) (upper right) and percentage changes in 1 April SWE for two emissions scenarios and three future time periods extracted from the CD VIC scenarios. 5 Examples of summary plots for monthly snow water equivalent (SWE) (mm) (averaged over the upstream basin area) and raw streamflow not adjusted for bias (cubic metres per second) for the Skagit River at Mount Vernon. Also, at about this time, successful lawsuits challenging NEPA studies because they had not addressed climate change effects began to appear (Hamlet, Citation2011). Fig. Thus, each site is bias-corrected using either naturalized or modified flow but not both. (Citation2010) also updated the soil depth map using a more sophisticated approach developed for the DHSVM (Wigmosta, Nijssen, Storck, & Lettenmaier, Citation2002; Wigmosta, Vail, & Lettenmaier, Citation1994) that varies soil depth with elevation. One of the first major efforts of CIG in this area was focused on the preparation of a detailed and comprehensive regional assessment report for the PNW for the 1999 National Assessment of the Impacts of Climate Variability and Change in the United States (ultimately published as Mote et al., Citation2003). A number of sub-basins are nested within each other, as shown in the right panel along with their relative sizes. Daily and monthly streamflow for each streamflow site are provided in two formats: a) raw VIC simulations, and b) bias-adjusted simulations. Springer Science and Business Media LLC, Register to receive personalised research and resources by email. Fig. Get the forecast for today, tonight & tomorrow's weather for Guarant do Norte, Mato Grosso, Brazil. Both calibration and validation periods were chosen to test model performance over a wide range of climate and streamflow conditions. Fig. For information on past projects, see our Projects Archive. Figures and summary tables for flood statistics and low-flow statistics. Increasing low flow risks (declining 7Q10 values) are widespread across the domain as a result of the combined effects of declining snowpack (which tends to result in earlier streamflow recession and lower flows in late summer, see Fig. By closing this message, you are consenting to our use of cookies. Hamlet, and S.-Y. Although not as extreme as A1FI, the high-end A2 scenario was archived by most GCMs and could have been used in the CBCCSP in place of the A1B scenario. Des accroissements gnraliss simuls de la rhumidification du sol en automne et en hiver dans les secteurs o l'accumulation de neige en hiver est importante (sous le climat actuel) appuient les hypothses de risque accru de glissement de terrain et de transport de sdiments durant l'hiver dans le futur. Northeast wind 5 to 10 mph. Climate change effects on stream and river temperatures across the Northwest U.S. from 1980 - 2009 and implications for salmonid fishes. These products are based solely on the CD and HD projections listed in Table 1. Subsetted from the, Averaged periodic drought condition ranking by basin for 2015-2020 from the, Mapped extent of wildfires from 1950-2020 from, Air quality monitoring stations within the study area. Key products from the study include summary data for about 300 river locations in the PNW and monthly Geographic Information System products for 21 hydrologic variables over the entire study domain. For example, researchers who wish to run their own hydrologic models can do so by downloading the statistically downscaled meteorological forcings from the study. Crook, A. G. (1993). (unpublished manuscript). Thanks also to Nancy Stephan (BPA), John Fazio and Jim Ruff (NWPCC), Allan Chapman and Ben Kagasniemi (BCME), and Barry Norris (OWRD) for their contributions to the initial study design. In relatively small basins (approximately 5001500km2), of which there are a substantial number included in the study, errors in meteorological driving data are often a strong determinant of simulation errors. Pink bands show the range of nine or ten HD climate change scenarios for B1 and A1B emissions scenarios for three future time periods. Glacier outlines are automatically generated from satellite imagery and are provided by, Species and Ecosystems at Risk as identified by the, Current bioclimates and modeled bioclimates for three future climate scenarios in 2080s. (Citation2010), but the essential idea behind the methods is that monthly gridded data are based only on serially complete and quality-controlled HCN and AHCCD stations (thus ensuring self-consistent long-term trends based on the same group of stations), but daily variations within the month come from re-gridded daily co-op station data, which add additional spatial detail on an event basis at daily time scales (Hamlet & Lettenmaier, Citation2005). The six panels display results from the combination of three time periods (rows) and two emissions scenarios (columns) used in the HD downscaling process. Associated shifts in streamflow timing from spring and summer to winter are also evident in basins with significant snow accumulation in winter (for the current climate). Those who wish to do additional post-processing of the existing VIC data can access the archived model output. (Citation2010) interpolated existing 1/8 degree model parameters to 1/16 degree and also included previously calibrated soil parameters for the Yakima sub-basin (please see acknowledgements). Other climate change studies on the Columbia River and its sub-basins followed (Cohen, Miller, Hamlet, & Avis, Citation2000; Elsner et al., Citation2010; Hamlet, Citation2003, Citation2011; Hamlet, Lee, Mickelson, & Elsner, Citation2010b; Lee, Fitzgerald, Hamlet, & Burges, Citation2011; Lee, Hamlet, Fitzgerald, & Burges, Citation2009; NWPCC, Citation2005; Payne, Wood, Hamlet, Palmer, & Lettenmaier, Citation2004; Snover, Hamlet, & Lettenmaier, Citation2003; Vano et al., Citation2010). USFWS (US Fish & Wildlife Service). Precipitation Regression on Independent Slopes Model (Daly et al., Extreme daily high flow value with a 20-year recurrence interval (20-year flood), Extreme daily high flow value with a 50-year recurrence interval (50-year flood), Extreme daily high flow value with a 100-year recurrence interval (100-year flood), River Management Joint Operating Committee. Columbia Basin Dive Rescue has been serving the community for almost 50 years. One of the fundamental difficulties with this task was that there was not, at the time, an available database of hydrologic projections that could support such planning, and regulatory agencies such as WDOE did not have the capacity or expertise to produce these resources themselves. The sweeping statements in the 2007 IPCC AR4 (Solomon et al., Citation2007) regarding the scientific consensus on observed warming (unequivocal) and the direct human role in the alteration of the climate system (90% confidence) made it clear to many management professionals that the waiting game for climate change planning was nearing an end. This study represents one of the first attempts to dynamically couple a sophisticated, physically based hydrologic model with a detailed crop model to estimate the integrated impacts on water supply and crop viability at a range of spatial scales. The magnitude of flooding the term used to describe flooding severity is expected to increase throughout the basin, which includes the Columbia, Willamette and Snake rivers . Previso do tempo local de hora em hora, condies climticas, precipitao, ponto de condensao, umidade, vento no Weather.com e The Weather Channel This extreme scenario, however, was only run by a few GCMs, which ultimately limits the ability to show consistent ranges of outcomes for each emissions scenario. Hamlet, A. F., Carrasco, P., Deems, J., Elsner, M. M., Kamstra, T., Lee, C., Lee, S-Y, Mauger, G., Salathe, E. P., Tohver, I., & Binder, L. W. (2010a). The strategy for model calibration used in the CBCCSP was to calibrate 11 relatively large sub-basins within the domain (Fig. In this case only modified flows (2000-level modified flows obtained from the BPA (Crook, Citation1993)) were used to train the bias-correction procedure, even if naturalized flows were also available. To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy. These results point to extensive, landscape-scale transformations in hydrologic behaviour associated with climate change. Highs around 80. The top two panels show the Nash Sutcliffe Efficiency (NSE) (left) and R 2 (right) for the calibration period, while the two lower panels show NSE (left) and R 2 (right) for the validation period. How essential is hydrologic model calibration to seasonal streamflow forecasting? A low pressure system slowly moving offshore is forecast to spin moisture into the Columbia Basin Sunday as it meanders closer to the Southern Oregon Coast. 8 Monthly mean hydrographs not adjusted for bias (water year: OctoberSeptember) for four representative river sites in the PNW: Kootenay River at Corra Linn Dam (upper left), Columbia River at The Dalles, Oregon (upper right), Yakima River at Parker (lower left), and the Chehalis River at Grand Mound (lower right). As noted above, the study also supports planning efforts over a wide range of geographic scales. Impacts of 21st-century climate change on hydrologic extremes in the Pacific Northwest region of North America. Because of space limitations, we will not be able to cover these alternative modelling efforts in this paper. Monday: A chance of snow before 4 p.m., then a slight chance of rain and snow. They found that the vast majority of locations across the Columbia River Basin are expected to experience increases in maximum streamflow magnitudes in the future. Starting from these parameter sets, an additional large-scale calibration was performed during the CBCCSP to improve model performance in reproducing historical streamflow. Full knowledge of the preceding steps is not required to use the products obtained at any level of the study, which increases the utility of the products. Snow water equivalent, the water content of the snowpack expressed as a depth, Peak snow water equivalent to cool-season precipitation ratio, Washington Climate Change Impacts Assessment. The CBCCSP also included fine-scale hydrologic modelling using DHSVM (Wigmosta et al., Citation1994, Citation2002) in four pilot watersheds in the PNW. Economic value of long-lead streamflow forecasts for Columbia River hydropower, Effects of projected climate change on energy supply and demand in the Pacific Northwest and Washington State, Columbia River streamflow forecasting based on ENSO and PDO climate signals, Effects of climate change on hydrology and water resources in the Columbia River basin, Long-range climate forecasting and its use for water management in the Pacific Northwest Region of North America, Production of temporally consistent gridded precipitation and temperature fields for the continental U.S, Effects of 20th century warming and climate variability on flood risk in the western U.S, Effects of temperature and precipitation variability on snowpack trends in the western U.S, An improved method for estimating surface humidity from daily minimum temperature, Optimized flood control in the Columbia River basin for a global warming scenario, Methodology for developing flood rule curves conditioned on El Nio-Southern Oscillation classification, Daily time step refinement of optimized flood control rule curves for a global warming scenario, Improving water resources system performance through long-range climate forecasts: The Pacific Northwest experience (Chapter 7), Water resources implications of global warming, a U.S. regional perspective, Simulations of the ENSO hydroclimate signals in the Pacific Northwest Columbia River basin, A simple hydrologically based model of land surface water and energy fluxes for general circulation models. A number of high-visibility studies have made use of the CBCCSP database to date, a few of which are summarized below. Yorgey, G. G., Rajagopalan, K., Chinnayakanahalli, K., Brady, M., Barber, M. E., Nelson, R., Stockle, C. S., Kruger, C. E., Dinesh, S., Malek, K., Yoder, J., & Adam, J. C. (2011). Gusts up to 20 mph in the morning. Thus, depending on their needs and level of technical sophistication, stakeholders can make the best use of the study products by extracting information at different points in the data processing sequence, all of which are available on the study web site. Obtain permissions instantly via Rightslink by clicking on the button below: If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. Cooper, R. M. (2002). Lee. The objective function for the optimization process in this case was: where Q is the monthly streamflow; NSE(Q) is the NSE (monthly flow), which varies between [inf, 1] and typically between [0,1]; NSE(log(Q+1)) is the NSE (monthly flow), which varies between [inf, 1] (this metric places less emphasis on high flow errors in calculating NSE); Vol_Err(Q) is the annual volume error (in 1000 acre feet); R 2(Q)=R 2 (squared correlation coefficient between simulated and observed Q), which varies between [0,1]; Peak_Diff(Q) is the mean hydrograph peak differencethe absolute value varies for different sites; RMSE(Q) is the root mean square error, whose absolute value varies for different sites; and NumSC(Q) is the number of sign changes in the errors (this metric penalizes simulations with too much month-to-month variability in comparison with observations).