Updated estimates of long-term average dissolved-solids loading in streams and rivers of the Upper Colorado River Basin

2014 ◽  
Author(s):  
Fred D. Tillman ◽  
David W. Anning
Keyword(s):  
River Basin ◽  
Colorado River ◽  
Colorado River Basin ◽  
Dissolved Solids ◽  
Streams And Rivers ◽  
Solids Loading ◽  
Upper Colorado River Basin

The role of baseflow in dissolved solids delivery to streams in the Upper Colorado River Basin

2017 ◽  
Vol 31 (26) ◽  
pp. 4705-4718 ◽  
Author(s):  
Christine A. Rumsey ◽  
Matthew P. Miller ◽  
Gregory E. Schwarz ◽  
Robert M. Hirsch ◽  
David D. Susong
Keyword(s):  
River Basin ◽  
Colorado River ◽  
Colorado River Basin ◽  
Dissolved Solids ◽  
Upper Colorado River Basin

scholarly journals The role of baseflow in dissolved solids delivery to streams in the Upper Colorado River Basin

2019 ◽  
Vol 34 (1) ◽  
pp. 150-152
Author(s):  
Christine A. Rumsey ◽  
Matthew P. Miller ◽  
Gregory E. Schwarz ◽  
Robert M. Hirsch ◽  
David D. Susong
Keyword(s):  
River Basin ◽  
Colorado River ◽  
Colorado River Basin ◽  
Dissolved Solids ◽  
Upper Colorado River Basin

scholarly journals A Comparison of in Situ, Reanalysis, and Satellite Water Budgets over the Upper Colorado River Basin

2013 ◽  
Vol 14 (3) ◽  
pp. 888-905 ◽  
Author(s):  
Rebecca A. Smith ◽  
Christian D. Kummerow
Keyword(s):  
Soil Moisture ◽  
Interannual Variability ◽  
River Basin ◽  
Water Budget ◽  
Colorado River ◽  
Colorado River Basin ◽  
Upper Colorado River Basin ◽  
Precipitation Estimates

Abstract Using in situ, reanalysis, and satellite-derived datasets, surface and atmospheric water budgets of the Upper Colorado River basin are analyzed. All datasets capture the seasonal cycle for each water budget component. For precipitation, all products capture the interannual variability, though reanalyses tend to overestimate in situ while satellite-derived precipitation underestimates. Most products capture the interannual variability of evapotranspiration (ET), though magnitudes differ among the products. Variability and magnitude among storage volume change products widely vary. With regards to the surface water budget, the strongest connections exist among precipitation, ET, and soil moisture, while snow water equivalent (SWE) is best correlated with runoff. Using in situ precipitation estimates, the Max Planck Institute (MPI) ET estimates, and accumulated runoff, changes in storage are calculated and compare well with estimated changes in storage calculated using SWE, reservoir, and the Climate Prediction Center’s soil moisture. Using in situ precipitation estimates, MPI ET estimates, and atmospheric divergence estimates from the European Centre for Medium-Range Weather Forecasts Interim Re-Analysis (ERA-Interim) results in a long-term atmospheric storage change estimate of −73 mm. Long-term surface storage estimates combined with long-term runoff come close to balancing with long-term atmospheric convergence from ERA-Interim. Increasing the MPI ET by 5% leads to a better balance between surface storage changes, runoff, and atmospheric convergence. It also brings long-term atmospheric storage changes to a better balance at +13 mm.

Sign in / Sign up

Export Citation Format

Share Document