Understanding how changing climatic conditions affect streamflow volume and timing is critical for effective water management. In the Rio Grande Basin of the southwest U.S., decreasing snowpack, increasing minimum temperatures, and decreasing streamflow have been observed in recent decades, but the effects of hydroclimatic changes on baseflow, or groundwater discharge to streams, have not been investigated. The dataset created in this data release was used to help support a study to determine how trends in precipitation, snowpack accumulation, and snowmelt rate relate to streamflow, baseflow, and the hydrologic partitioning of baseflow and runoff at 12 sites in the Upper Rio Grande Basin (URGB) during 1980 to 2015. Streamflow was partitioned into baseflow and runoff components at a daily time step using conductivity mass balance hydrograph separation. Trends in annual streamflow, baseflow, runoff, baseflow index, precipitation, snowmelt rate, and peak snow water equivalent (SWE) were evaluated from 1980 to 2015 using the non-parametric Mann-Kendall trend test.

This tabular dataset represents the source of monthly flow at 160 stream gages used for surface-water flow and flow-difference observations for the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). See the Site_Name attribute in the RGTIHM_Surface_Water_Obs feature class for the location of the stream gages.

This tabular dataset represents the source of monthly flow at 160 stream gages used for surface-water flow and flow-difference observations for the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). See the Site_Name attribute in the RGTIHM_Surface_Water_Obs feature class for the location of the stream gages.

This tabular dataset represents monthly flow at 160 stream gages used for surface-water flow and flow-difference observations for the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Flow in this tabular dataset is specified monthly, when available, at each observation point as a rate (volume per time) in units of cubic feet per day. See the Site_Name attribute in the RGTIHM_Surface_Water_Obs feature class for the location of the stream gages.

This tabular dataset represents monthly flow at 160 stream gages used for surface-water flow and flow-difference observations for the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Flow in this tabular dataset is specified monthly, when available, at each observation point as a rate (volume per time) in units of cubic feet per day. See the Site_Name attribute in the RGTIHM_Surface_Water_Obs feature class for the location of the stream gages.

This tabular dataset represents monthly flow at 80 tributary pour points (see the RGTIHM_Tributary_Pour_Pts feature class) used as model boundary inflow locations to tributaries (see the RGTIHM_Tributaries feature class) simulated with the Streamflow-Routing (SFR) Package for MODFLOW-One-Water Hydrologic Flow Model in the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Flows in this dataset were derived from the Transboundary Rio Grande Watershed Model (TRGWM) estimates of recharge and runoff accumulated from TRGWM grid cells within the subwatershed (see the RGTIHM_TRGWM_Subwatersheds feature class) upstream of the pour point (Hanson and others, 2018). Flow in this tabular dataset is specified monthly at each inflow point as a rate (volume per time) in units of cubic feet per day. See the Inflow_ID attribute in the RGTIHM_Tributary_Pour_Pts and Inflw_ID attribute in the RGTIHM_Tributaries feature classes for the location of the pour points and the segment to which the flow was applied, respectively. TRGWM-derived flow was not simulated in the RGTIHM at 11 pour points that had no associated tributary (see the Sim_Inflow attribute in the RGTIHM_Tributary_Pour_Pts feature class), and TRGWM-derived flow for these 11 pour points is not included in this tabular dataset.

This tabular dataset represents monthly flow at 80 tributary pour points (see the RGTIHM_Tributary_Pour_Pts feature class) used as model boundary inflow locations to tributaries (see the RGTIHM_Tributaries feature class) simulated with the Streamflow-Routing (SFR) Package for MODFLOW-One-Water Hydrologic Flow Model in the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Flows in this dataset were derived from the Transboundary Rio Grande Watershed Model (TRGWM) estimates of recharge and runoff accumulated from TRGWM grid cells within the subwatershed (see the RGTIHM_TRGWM_Subwatersheds feature class) upstream of the pour point (Hanson and others, 2018). Flow in this tabular dataset is specified monthly at each inflow point as a rate (volume per time) in units of cubic feet per day. See the Inflow_ID attribute in the RGTIHM_Tributary_Pour_Pts and Inflw_ID attribute in the RGTIHM_Tributaries feature classes for the location of the pour points and the segment to which the flow was applied, respectively. TRGWM-derived flow was not simulated in the RGTIHM at 11 pour points that had no associated tributary (see the Sim_Inflow attribute in the RGTIHM_Tributary_Pour_Pts feature class), and TRGWM-derived flow for these 11 pour points is not included in this tabular dataset.

This tabular dataset represents groundwater-level elevation measurements used as head and drawdown observations for the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM).

This tabular dataset represents groundwater-level elevation measurements used as head and drawdown observations for the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM).

This dataset contains the monthly fractions of annual flow at the Rio Grande below Caballo Dam stream gage from March 1940 through 2014 derived from monthly flows extracted from Ferguson, I., Bureau of Reclamation, written commun., 2016. This dataset also indicates the months corresponding to the annual quartiles of monthly flow at the Rio Grande below Caballo Dam stream gage.