Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Barwon-Darling. Individual for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies. The naming structure of the individual files is "Gauge number_watercourse@Gauge name".

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Paterson Valley. Individual for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies. The naming structure of the individual files is "Gauge number_watercourse@Gauge name".

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Lachlan Valley. Individual for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies. The naming structure of the individual files is "Gauge number_watercourse@Gauge name".

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Macquarie Valley. Individual for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies. The naming structure of the individual files is "Gauge number_watercourse@Gauge name".

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Murrumbidgee Valley. Individual for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies. The naming structure of the individual files is "Gauge number_watercourse@Gauge name".

The datasets provided contain modelled daily streamflow, and storage volume data for several NSW river systems. These data were generated by simulating baseline river system models used to inform the development of Regional Water Strategies. The models were simulated for three different climate scenarios: instrumental climate (about 130 years), paleo-stochastic climate (about 10,000 years), and paleo-stochastic climate with climate projection based on NARCliM 1.0 (about 10,000 years). Each modelled output is published as a ZIP file which contains two pdf files (.pdf) and three time series data (.csv). For more information on the NSW regional water strategies program, please refer to the following website. https://www.dpie.nsw.gov.au/water/our-work/plans-and-strategies/regional-water-strategies The naming structure of the individual zip files is "Watercourse at Gauge name, followed by Gauge number". 1) Bumbuggan Creek at Offtake Gauge 412017_NARCliM 2) Fairholme Gauge 412023_NARCliM 3) Goobang Creek at Condobolin Gauge 412014_NARCliM 4) Lachlan River at Belubula Gauge 412033_NARCliM 5) Lachlan River at BooberoiWeir Gauge 412021_NARCliM 6) Lachlan River at Booligal Gauge 412005_NARCliM 7) Lachlan River at Cargel Gauge 412011_NARCliM 8) Lachlan River at CondobolinWeir Gauge 412034_NARCliM 9) Lachlan River at Corrong Gauge 412045_NARCliM 10) Lachlan River at Cowra Gauge 412002_NARCliM 11) Lachlan River at DSJemalong Weir Gauge 412036_NARCliM 12) Lachlan River at Forbes Gauge 412004_NARCliM 13) Lachlan River at Hillston Weir Gauge 412039_NARCliM 14) Lachlan River at Nanami Gauge 412057_NARCliM 15) Lachlan River at Oxley Gauge 412026_NARCliM 16) Lachlan River at Reids Flat Gauge 412027_NARCliM 17) Lachlan River at USWillandraWeir Gauge 412038_NARCliM 18) Lachlan River at Whealbah Gauge 412078_NARCliM 19) Lachlan River at Wyangala Gauge 412067_NARCliM 20) Wyangala Dam-Volume Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the NSW Water Hub which has an online forum you can join.

A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized for hydrologic response units and aggregated at points of interest on a stream network. Results were organized into the Monthly Water Balance Model Futures database, and accessed through the Monthly Water Balance Model Futures Portal (https://my.usgs.gov/mows/). Note that the data release changed names in January 2017 from "Hydrology Futures" to "Monthly Water Balance Model Futures" due to "Hydrology Futures" being a copyright trademark. Methods used to calibrate and parameterize the MWBM are detailed in the Hydrology and Earth System Sciences (HESS) paper "Parameter regionalization of a monthly water balance model for the conterminous United States" by Bock and others (2016). See the link in the "Related External Resources" section for access. Supplemental data files related to the plots and data analysis in Bock and others (2016) can be found in the HESS-2015-325.zip folder in the "Attached Files" section. Detailed information on the files and data can be found in the ReadMe.txt contained within the zipped folder. The data release accompanying the Earth Interactions article “Do downscaled general circulation models reliably simulate historical climatic conditions?” (Bock and others, 2018) and Advances in Water Resources article "Quantifying Uncertainty in Simulated Streamflow and Runoff from a Continental-scale Monthly Water Balance Model" is available as a child items to this page.

A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized for hydrologic response units and aggregated at points of interest on a stream network. Results were organized into the Monthly Water Balance Model Futures database, and accessed through the Monthly Water Balance Model Futures Portal (https://my.usgs.gov/mows/). Note that the data release changed names in January 2017 from "Hydrology Futures" to "Monthly Water Balance Model Futures" due to "Hydrology Futures" being a copyright trademark. Methods used to calibrate and parameterize the MWBM are detailed in the Hydrology and Earth System Sciences (HESS) paper "Parameter regionalization of a monthly water balance model for the conterminous United States" by Bock and others (2016). See the link in the "Related External Resources" section for access. Supplemental data files related to the plots and data analysis in Bock and others (2016) can be found in the HESS-2015-325.zip folder in the "Attached Files" section. Detailed information on the files and data can be found in the ReadMe.txt contained within the zipped folder. The data release accompanying the Earth Interactions article “Do downscaled general circulation models reliably simulate historical climatic conditions?” (Bock and others, 2018) and Advances in Water Resources article "Quantifying Uncertainty in Simulated Streamflow and Runoff from a Continental-scale Monthly Water Balance Model" is available as a child items to this page.

A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized for hydrologic response units and aggregated at points of interest on a stream network. Results were organized into the Monthly Water Balance Model Futures database, and accessed through the Monthly Water Balance Model Futures Portal (https://my.usgs.gov/mows/). Note that the data release changed names in January 2017 from "Hydrology Futures" to "Monthly Water Balance Model Futures" due to "Hydrology Futures" being a copyright trademark. Methods used to calibrate and parameterize the MWBM are detailed in the Hydrology and Earth System Sciences (HESS) paper "Parameter regionalization of a monthly water balance model for the conterminous United States" by Bock and others (2016). See the link in the "Related External Resources" section for access. Supplemental data files related to the plots and data analysis in Bock and others (2016) can be found in the HESS-2015-325.zip folder in the "Attached Files" section. Detailed information on the files and data can be found in the ReadMe.txt contained within the zipped folder. The data release accompanying the Earth Interactions article “Do downscaled general circulation models reliably simulate historical climatic conditions?” (Bock and others, 2018) and Advances in Water Resources article "Quantifying Uncertainty in Simulated Streamflow and Runoff from a Continental-scale Monthly Water Balance Model" is available as a child items to this page.

Daily time series for modeled inflows in cfs coming into Lake Sumner. Results were modeled using the Pecos River Operations Model (PROM) for the purpose of the Pecos River Basin Study. This study used data from five downscaled and bias-corrected Global Climate Models (GCMs) run through a Variable Infiltration Capacity (VIC) hydrological model. Outputs at key headwater and tributary gages were then used as inputs and run through a RiverWare operations model, PROM. There are ten runs for each GCM which includes: a baseline run, five alternate management strategy runs, and four water footprint runs.