This tabular data set represents mean annual water balance variables as described in Wolock and McCabe (2017) for the period 2000-2014, detrended to 2012, compiled for the NHDPlus version 2.1 data suite (NHDPlusV2) for the conterminous United States. The detrended variables (DT_XXX where XXX is the variable) included are: actual evapotranspiration (DT_AET) , potential evapotranspiration (PET), precipitation (DT_PPT), runoff (DT_RUN) , percent of annual precipitation as snow (DT_SNO) , soil moisture storage (DT_STO), and temperature (DT_TAV). Linkage of these data with NHDPlusV2 is achieved through the common unique identifier COMID. The values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

This tabular data set represents mean annual water balance variables as described in Wolock and McCabe (2017) for the period 2000-2014, detrended to 2012, compiled for the NHDPlus version 2.1 data suite (NHDPlusV2) for the conterminous United States. The detrended variables (DT_XXX where XXX is the variable) included are: actual evapotranspiration (DT_AET) , potential evapotranspiration (PET), precipitation (DT_PPT), runoff (DT_RUN) , percent of annual precipitation as snow (DT_SNO) , soil moisture storage (DT_STO), and temperature (DT_TAV). Linkage of these data with NHDPlusV2 is achieved through the common unique identifier COMID. The values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

This tabular data set represents annual water balance variables as described in Wolock and McCabe (2017) averaged over the years 2000 through 2014, compiled for the NHDPlus version 2.1 data suite (NHDPlusV2) for the conterminous United States. The variables included are: actual evapotranspiration (AET) , potential evapotranspiration (PET), precipitation (PPT), runoff (RUN) , percent of annual precipitation as snow (SNO) , soil moisture storage (STO), and temperature (TAV). Linkage of these data with NHDPlusV2 is achieved through the common unique identifier COMID. The values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

This tabular data set represents annual water balance variables as described in Wolock and McCabe (2017) averaged over the years 2000 through 2014, compiled for the NHDPlus version 2.1 data suite (NHDPlusV2) for the conterminous United States. The variables included are: actual evapotranspiration (AET) , potential evapotranspiration (PET), precipitation (PPT), runoff (RUN) , percent of annual precipitation as snow (SNO) , soil moisture storage (STO), and temperature (TAV). Linkage of these data with NHDPlusV2 is achieved through the common unique identifier COMID. The values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

These tabular data sets represent monthly water balance variables as described in Wolock and McCabe (2017) averaged over the years 1980 through 2020, compiled for the NHDPlus version 2.1 data suite (NHDPlusV2) for the conterminous United States. The variables included are: actual evapotranspiration (AET) , potential evapotranspiration (PET), precipitation (PPT), runoff (RUN) , percent of annual precipitation as snow (SNO) , soil moisture storage (STO), and temperature (TAV). Linkage of these data with NHDPlusV2 is achieved through the common unique identifier COMID. The values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale. Data are stored in comma-delimited and parquet files.

This tabular data set represents annual average precipitation values (millimeters) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. Linkage of the precipitation data with NHDPlusV2 is achieved through the common unique identifier COMID. The precipitation values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

This tabular data set represents annual average precipitation values (millimeters) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. Linkage of the precipitation data with NHDPlusV2 is achieved through the common unique identifier COMID. The precipitation values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

This tabular data set represents annual average runoff values (millimeters) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. Linkage of the runoff data with NHDPlusV2 is achieved through the common unique identifier COMID. The runoff values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

This tabular data set represents annual average precipitation values (millimeters) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. Linkage of the precipitation data with NHDPlusV2 is achieved through the common unique identifier COMID. The precipitation values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.

This tabular data set represents annual average runoff values (millimeters) described in Wolock and McCabe (2017), compiled for the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. Linkage of the runoff data with NHDPlusV2 is achieved through the common unique identifier COMID. The runoff values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The reach catchment information characterizes data at the local scale, whereas the catchments accumulated through the river network characterize cumulative upstream conditions. The network-accumulated values are derived using two methods: 1) divergence routing and 2) total upstream routing. Both approaches use a modified routing database (Schwarz and Wieczorek, 2017) to navigate the NHDPlusV2 reach network and to aggregate (accumulate) the metrics derived from the reach catchment scale.