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Model recalibration results including recalibrated parameters and model performance statistics
This metadata document describes the data file 'model_recalibration_results.csv' for the recalibration of the Sinking Pond hydrologic model. The hydrologic model was recalibrated using the R script ‘annotated_R_script_for_model_recalibration.R’ and the input dataset ‘Daily_values_for_climate_stage_and_model_terms.csv’ in this data release to produce recalibrated values for the four calibrated parameters in the model: KBR, KPR, KBG, and PG (see the ‘Entity and Attribute’ section of this metadata document; for additional information see table 9 in Wolfe and others, 2004). The data file ‘model_recalibration_results.csv’ contains the results from the recalibration process. Each row in the dataset represents a different model, where each model is defined by a unique combination of values for KBR, KPR, KBG, and PG. All possible combinations of KBR (15 parameter values), KPR (13 parameter values), KBG (20 parameter values), and PG (21 parameter values) were run as separate models, to yield a total of 81,900 models (i.e., 81,900 rows in this dataset). Each model produced a time series of modeled pond stage which was compared to observed pond stage on a daily time step across 22 water years to calculate four model performance statistics: (1) root mean-squared error (RMSE), (2) Nash-Sutcliffe Efficiency (NSE), (3) the 25th percentile of NSE values across water years (NSE_p25), and (4) hydroperiod discrepancy (HPD); see the ‘Entity and Attribute’ section of this metadata document for additional information about model performance metrics.
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Model recalibration results including recalibrated parameters and model performance statistics
공공데이터포털
This metadata document describes the data file 'model_recalibration_results.csv' for the recalibration of the Sinking Pond hydrologic model. The hydrologic model was recalibrated using the R script ‘annotated_R_script_for_model_recalibration.R’ and the input dataset ‘Daily_values_for_climate_stage_and_model_terms.csv’ in this data release to produce recalibrated values for the four calibrated parameters in the model: KBR, KPR, KBG, and PG (see the ‘Entity and Attribute’ section of this metadata document; for additional information see table 9 in Wolfe and others, 2004). The data file ‘model_recalibration_results.csv’ contains the results from the recalibration process. Each row in the dataset represents a different model, where each model is defined by a unique combination of values for KBR, KPR, KBG, and PG. All possible combinations of KBR (15 parameter values), KPR (13 parameter values), KBG (20 parameter values), and PG (21 parameter values) were run as separate models, to yield a total of 81,900 models (i.e., 81,900 rows in this dataset). Each model produced a time series of modeled pond stage which was compared to observed pond stage on a daily time step across 22 water years to calculate four model performance statistics: (1) root mean-squared error (RMSE), (2) Nash-Sutcliffe Efficiency (NSE), (3) the 25th percentile of NSE values across water years (NSE_p25), and (4) hydroperiod discrepancy (HPD); see the ‘Entity and Attribute’ section of this metadata document for additional information about model performance metrics.
Water Modelling-Modelled Data-Regional Water Strategy-Bellinger
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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) Bellinger River at Thora Gauge 205002_NARCliM.zip 2) Bellinger River at Boggy Creek Gauge 205005_NARCliM.zip 3) Woolgoolga Creek at Woolgoolga Gauge 205007_NARCliM.zip 4) Corindi Creek at Upper Corindi Gauge 205012_NARCliM.zip 5) Kalang River at Kooroowi_Scotchman No3_Gauge 205013_NARCliM.zip 6) Bellinger River at Fosters Gauge 205016_NARCliM.zip 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.
Water Modelling-Modelled Data-Regional Water Strategy-Bega
공공데이터포털
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) Towamba River at New Buildings Bridge Gauge 220001_NARCliM 2) Rutherford Creek at Brown Mountain Gauge 219001_NARCliM 3) Bemboka River at Morans Crossing Gauge 219003_NARCliM 4) Georges Creek at Steeple Flat (Cochrane Dam) Gauge 219005_NARCliM 5) Tantawangalo Creek at Tantawangalo Mountain Gauge 219006_NARCliM 6) Nunnock River at Brown Mountain (Dam Site) Gauge 219008_NARCliM 7) Brogo River at North Brogo Gauge 219013_NARCliM 8) Double Creek near Brogo Gauge 219017_NARCliM 9) Sandy Creek at Mogilla Gauge 219020_NARCliM 10) Bemboka River at Bemboka Gauge 219021_NARCliM 11) Tantawangalo Creek at Candelo Dam Site Gauge 219022_NARCliM 12) Brogo River at Angledale Gauge 219025_NARCliM 13) Bega River at Warraguburra Gauge 219026_NARCliM 14) Brogo River at Brogo Dam (Storage) Gauge 219027_NARCliM 15) Bega River at Kanoona Gauge 219032_NARCliM 16) Candelo Creek at Greenmount Road (Yurammie No. 4) Gauge 219034_NARCliM 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.
Water Modelling-Modelled Data-Regional Water Strategy-Lachlan
공공데이터포털
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.
Water Modelling-Modelled Data-Regional Water Strategy-Clarence
공공데이터포털
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) Nymboida River at Nymboida Gauge 204001_NARCliM.zip 2) Clarence River at Tabulam Gauge 204002_NARCliM.zip 3) Clarence River at The Gorge Gauge 204003_NARCliM.zip 4) Mann River at Jackadgery Gauge 204004_NARCliM.zip 5) Nymboida River at Buccarumbi Gauge 204005_NARCliM.zip 6) Clarence River at Lilydale_Newbold Crossing_Gauge 204007_NARCliM.zip 7) Mann River at Mitchell Gauge 204014_NARCliM.zip 8) Boyd River at Broadmeadows Gauge 204015_NARCliM.zip 9) Orara River at Karangi Gauge 204025_NARCliM.zip 10) Henry River at Newton Boyd Gauge 204034_NARCliM.zip 11) Orara River at Bawden Bridge Gauge 204041_NARCliM.zip 12) Peacock Creek at Bonalbo Gauge 204043_NARCliM.zip 13) Gorge Creek at Bonalbo Gauge 204044_NARCliM.zip 14) Coombadjha Creek at Coombadjha Gauge 204048_NARCliM.zip 15) Duck Creek at Capeen Gauge 204049_NARCliM.zip 16) Clarence River at Paddys Flat Gauge 204051_NARCliM.zip 17) Washpool Creek at Lionsville Gauge 204054_NARCliM.zip 18) Dandahra Creek at Gibraltar Range Gauge 204056_NARCliM.zip 19) Bucca Creek at Central Bucca Gauge 204060_NARCliM.zip 20) Orara River at Orange Grove Gauge 204068_NARCliM.zip 21) Nymboida River downstream Nymboida Weir Gauge 204069_NARCliM.zip 22) Clarence River at Grafton Gauge 204400_NARCliM.zip 23) Clarence Rv at Mylneford Gauge 204460_NARCliM.zip 24) Clarence River at Baryulgil Gauge 204900_NARCliM.zip 25) Orara River at Glenreagh Gauge 204906_NARCliM.zip 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.
Water Modelling-Modelled Data-Regional Water Strategy-Tweed
공공데이터포털
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) Oxley River at Eungella Gauge 201001_NARCliM.zip 2) Rous River at Boat Harbour No1 Gauge 201002_NARCliM.zip 3) Tweed River at Braeside Gauge 201003_NARCliM.zip 4) Rous River at Boat Harbour No3 Gauge 201005_NARCliM.zip 5) Oxley River at Tyalgum Gauge 201006_NARCliM.zip 6) Hopping Dick Creek at Limpinwood Gauge 201007_NARCliM.zip 7) Rous River at Chillingham Gauge 201008_NARCliM.zip 8) Rolands Creek at Uki Gauge 201009_NARCliM.zip 9) Byrrill Creek at Glen Warning Gauge 201010_NARCliM.zip 10) Doon Doon Creek at Lower Doon Doon Gauge 201011_NARCliM.zip 11) Cobaki Creek at Cobaki Gauge 201012_NARCliM.zip 12) Doon Doon Creek downstream Clarrie Hall Dam Gauge 201013_NARCliM.zip 13) Tweed River downstream Palmers Road Crossing Gauge 201015_NARCliM.zip 14) Tweed River at Uki Gauge 201900_NARCliM.zip 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.
Water Modelling-Modelled Data-Regional Water Strategy
공공데이터포털
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). Note: To access and download datasets for specific regions, such as the Lachlan river system, please navigate to the respective child assets beneath this parent asset. 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 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.
Daily values for climate and stage observations, hydrologic model terms, and modeled pond stage
공공데이터포털
This metadata document describes the data file ‘Daily_values_for_climate_stage_and_model_terms.csv’ for the daily time-step hydrologic model for Sinking Pond from January 1, 1854 through September 30, 2019 under the original calibration and the recalibration, along with daily climate (temperature and precipitation) values and observed stage values used in the recalibration process. This data file is a required input to the R script in this data release as it provides the daily climate variables used to drive the model and the daily stage values used for calibration. Model terms are described briefly in this metadata document and are explained in detail in Wolfe and others (2004).
Daily values for climate and stage observations, hydrologic model terms, and modeled pond stage
공공데이터포털
This metadata document describes the data file ‘Daily_values_for_climate_stage_and_model_terms.csv’ for the daily time-step hydrologic model for Sinking Pond from January 1, 1854 through September 30, 2019 under the original calibration and the recalibration, along with daily climate (temperature and precipitation) values and observed stage values used in the recalibration process. This data file is a required input to the R script in this data release as it provides the daily climate variables used to drive the model and the daily stage values used for calibration. Model terms are described briefly in this metadata document and are explained in detail in Wolfe and others (2004).
Rajib2019 UMRB WRR2020
공공데이터포털
The dataset includes information to make Figures 1 through 6 of the manuscript. This dataset is associated with the following publication: Rajib, A., H. Golden, C. Lane, and Q. Wu. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 56(7): e2019WR026561, (2020).