Raiders and Traders: The Indigenous world of the Colorado Basin, 1540–1859 by Natale A. Zappia

2015 ◽  
Vol 16 (3) ◽  
Author(s):  
Jeffrey Shepherd
Keyword(s):  
Colorado Basin

scholarly journals Crustal structure across the Colorado Basin, offshore Argentina

2006 ◽  
Vol 165 (3) ◽  
pp. 850-864 ◽  
Author(s):  
Dieter Franke ◽  
Soenke Neben ◽  
Bernd Schreckenberger ◽  
Albrecht Schulze ◽  
Manfred Stiller ◽  
...  
Keyword(s):  
Crustal Structure ◽  
Colorado Basin

scholarly journals Multistage rifting evolution of the Colorado basin (offshore Argentina): Evidence for extensional settings prior to the South Atlantic opening

Terra Nova ◽  
2018 ◽  
Vol 30 (5) ◽  
pp. 359-368 ◽  
Author(s):  
Juan Pablo Lovecchio ◽  
Sébastien Rohais ◽  
Philippe Joseph ◽  
Néstor D. Bolatti ◽  
Pedro R. Kress ◽  
...  
Keyword(s):  
South Atlantic ◽  
The South ◽  
Colorado Basin

scholarly journals The Operational Eta Model Precipitation and Surface Hydrologic Cycle of the Columbia and Colorado Basins

2005 ◽  
Vol 6 (4) ◽  
pp. 341-370 ◽  
Author(s):  
Yan Luo ◽  
Ernesto H. Berbery ◽  
Kenneth E. Mitchell
Keyword(s):  
Hydrologic Model ◽  
Hydrologic Cycle ◽  
Precipitation Forecast ◽  
Columbia Basin ◽  
Mean Fields ◽  
Eta Model ◽  
The Mean ◽  
Model Precipitation ◽  
Colorado Basin ◽  
Precipitation Bias

Abstract The surface hydrology of the United States’ western basins is investigated using the National Centers for Environmental Prediction operational Eta Model forecasts. During recent years the model has been subject to changes and upgrades that positively affected its performance. These effects on the surface hydrologic cycle are discussed by analyzing the period June 1995–May 2003. Prior to the model assessment, three gauge-based precipitation analyses that are potential sources of model validation are appraised. A fairly large disparity between the gridded precipitation analyses is found in the long-term area averages over the Columbia basin (∼23% difference) and over the Colorado basin (∼12% difference). These discrepancies are due to the type of analysis scheme employed and whether an orographic correction was applied. The basin-averaged Eta Model precipitation forecasts correlate well with the observations at monthly time scales and, after 1999, show a small bias. Over the Columbia basin, the model precipitation bias is typically positive. This bias is significantly smaller with respect to orographically corrected precipitation analyses, indicating that the model’s large-scale precipitation processes respond reasonably well to orographic effects, though manifesting a higher bias during the cool season. Over the Colorado basin, the model precipitation bias is typically negative, and notably more so with respect to 1) the orographically corrected precipitation analyses and 2) the warm season, indicating shortfalls in the convection scheme over arid high mountains. The mean fields of the hydrological variables in the Eta Model are in qualitative agreement with those from the Variable Infiltration Capacity (VIC) macroscale hydrologic model at regional-to-large scales. As expected, the largest differences are found near mountains and the western coastline. While the mean fields of precipitation, evaporation, runoff, and normalized soil moisture are in general agreement, important differences arise in their mean annual cycle over the two basins: snowmelt in the Eta Model precedes that of VIC by 2 months, and this phase shift is also reflected in the other variables. In the last 3–4 yr of the study period, notable improvements are evident in the quality of the model’s precipitation forecast and in the reduction of the residual term of the surface water balance, suggesting that at least similar (or better) quality will be found in studies based on NCEP’s recently completed Eta Model–based North American regional reanalysis.

scholarly journals Large scale snow water equivalent status monitoring: comparison of different snow water products in the upper Colorado Basin

2013 ◽  
Vol 17 (12) ◽  
pp. 5127-5139 ◽  
Author(s):  
G. A. Artan ◽  
J. P. Verdin ◽  
R. Lietzow
Keyword(s):  
Energy Balance ◽  
Water Content ◽  
Snow Water Equivalent ◽  
Weather Forecast ◽  
Snow Accumulation ◽  
Passive Microwave ◽  
Data Sets ◽  
Snow Water ◽  
Trmm Precipitation ◽  
Colorado Basin

Abstract. We illustrate the ability to monitor the status of snow water content over large areas by using a spatially distributed snow accumulation and ablation model that uses data from a weather forecast model in the upper Colorado Basin. The model was forced with precipitation fields from the National Weather Service (NWS) Multi-sensor Precipitation Estimator (MPE) and the Tropical Rainfall Measuring Mission (TRMM) data-sets; remaining meteorological model input data were from NOAA's Global Forecast System (GFS) model output fields. The simulated snow water equivalent (SWE) was compared to SWEs from the Snow Data Assimilation System (SNODAS) and SNOwpack TELemetry system (SNOTEL) over a region of the western US that covers parts of the upper Colorado Basin. We also compared the SWE product estimated from the special sensor microwave imager (SSM/I) and scanning multichannel microwave radiometer (SMMR) to the SNODAS and SNOTEL SWE data-sets. Agreement between the spatial distributions of the simulated SWE with MPE data was high with both SNODAS and SNOTEL. Model-simulated SWE with TRMM precipitation and SWE estimated from the passive microwave imagery were not significantly correlated spatially with either SNODAS or the SNOTEL SWE. Average basin-wide SWE simulated with the MPE and the TRMM data were highly correlated with both SNODAS (r = 0.94 and r = 0.64; d.f. = 14 – d.f. = degrees of freedom) and SNOTEL (r = 0.93 and r = 0.68; d.f. = 14). The SWE estimated from the passive microwave imagery was significantly correlated with the SNODAS SWE (r = 0.55, d.f. = 9, p = 0.05) but was not significantly correlated with the SNOTEL-reported SWE values (r = 0.45, d.f. = 9, p = 0.05).The results indicate the applicability of the snow energy balance model for monitoring snow water content at regional scales when coupled with meteorological data of acceptable quality. The two snow water contents from the microwave imagery (SMMR and SSM/I) and the Utah Energy Balance forced with the TRMM precipitation data were found to be unreliable sources for mapping SWE in the study area; both data sets lacked discernible variability of snow water content between sites as seen in the SNOTEL and SNODAS SWE data. This study will contribute to better understanding the adequacy of data from weather forecast models, TRMM, and microwave imagery for monitoring status of the snow water content.

scholarly journals Challenges in Forecasting the 2011 Runoff Season in the Colorado Basin

2013 ◽  
Vol 14 (4) ◽  
pp. 1364-1371 ◽  
Author(s):  
Kevin Werner ◽  
Kristen Yeager
Keyword(s):  
Great Basin ◽  
Colorado River ◽  
Mitigation Measures ◽  
Snow Covered Area ◽  
Covered Area ◽  
Weather And Climate ◽  
Forecasting System ◽  
Colorado Basin ◽  
Seasonal Weather ◽  
Severe Flooding

Abstract Historically large snowpack across the upper Colorado basin and the Great Basin in 2011 presented the potential for widespread and severe flooding. While widespread flooding did occur, its impacts were largely moderated through a combination of sustained cool weather during the melt season and mitigation measures based on forecasts. The potential for more severe flooding persisted from April through the first part of July as record-high snowpacks slowly melted. NOAA's Colorado Basin River Forecast Center (CBRFC) is the primary office responsible for generating river forecasts in support of emergency and water management within the Colorado River basin. This paper describes the 2011 runoff season in the basin and examines the skill of CBRFC forecasts for that season. The primary goal of this paper is to raise awareness of the research and development areas that could, if successfully integrated into the CBRFC river forecasting system, improve forecasts in similar situations in the future. The authors identify three areas of potential forecast improvement: 1) improving week two to seasonal weather and climate predictions, 2) incorporation of remotely sensed snow-covered area, and 3) improving coordination between reservoir operations and forecasts.

scholarly journals System Dynamics Modeling of the Colorado Basin for Optimizing Operations Reducing Risk and Increasing Resiliency.

2014 ◽  
Author(s):  
Thomas Stephen Lowry ◽  
Peter H. Kobos ◽  
Leonard A. Malczynski ◽  
Vincent C. Tidwell ◽  
Jesse D. Roach ◽  
...  
Keyword(s):  
System Dynamics ◽  
System Dynamics Modeling ◽  
Dynamics Modeling ◽  
Colorado Basin
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