Yuan Qiu
Arizona State University
| Subject Areas: | Hydrological modeling |
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ABSTRACT:
This dataset provides monthly hydroclimate projections for 52 groundwater basins in Arizona covering the period 1981–2099. Simulations were produced using the Noah-MP land surface model with advanced soil hydrology to represent hydrological processes across the Colorado River Basin under the SSP3-7.0 emissions scenario. Meteorological forcing was taken from the WUS-D3 dataset, which provides 9-km dynamically downscaled outputs from 14 CMIP6 global climate models over the western United States. Because raw precipitation outputs exhibited substantial positive biases over the Colorado River Basin, an additional quantile delta mapping correction was applied to constrain both the occurrence and intensity of daily precipitation. Key hydroclimate variables were then aggregated to monthly resolution over each of Arizona's 52 groundwater basins across all 14 Noah-MP simulations. Data are provided in CSV format to support long-term water resources planning and management in Arizona. Figures are also included for visual preview. This work was funded by the Arizona Water Innovation Initiative (AWII) and directly supports the Arizona Tri-University Recharge and Water Reliability (ATUR) Project.
ABSTRACT:
This dataset provides monthly hydroclimate projections for 52 groundwater basins in Arizona for the period 1981–2099. Simulations were produced using the Noah-MP land surface model with advanced soil hydrology to represent hydrological processes across the Colorado River Basin under the SSP3-7.0 emissions scenario. Meteorological forcing was drawn from the WUS-D3 dataset, which provides 9-km dynamically downscaled outputs from 14 CMIP6 global climate models over the western United States. Because raw precipitation outputs still exhibited substantial positive biases over the Colorado River Basin, an additional quantile delta mapping correction was applied to constrain both the occurrence and intensity of daily precipitation. Main hydroclimate variables were then aggregated to monthly resolution over each of Arizona's 52 groundwater basins for each of the 14 Noah-MP simulations. Data are provided in CSV format to support long-term water resources planning and management in Arizona. Figures are also provided for preview. This work was funded by the Arizona Water Innovation Initiative (AWII) and directly supports the Arizona Tri-University Recharge and Water Reliability (ATUR) Project.
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Created: June 5, 2026, 3:24 a.m.
Authors: Qiu, Yuan
ABSTRACT:
This dataset provides monthly hydroclimate projections for 52 groundwater basins in Arizona for the period 1981–2099. Simulations were produced using the Noah-MP land surface model with advanced soil hydrology to represent hydrological processes across the Colorado River Basin under the SSP3-7.0 emissions scenario. Meteorological forcing was drawn from the WUS-D3 dataset, which provides 9-km dynamically downscaled outputs from 14 CMIP6 global climate models over the western United States. Because raw precipitation outputs still exhibited substantial positive biases over the Colorado River Basin, an additional quantile delta mapping correction was applied to constrain both the occurrence and intensity of daily precipitation. Main hydroclimate variables were then aggregated to monthly resolution over each of Arizona's 52 groundwater basins for each of the 14 Noah-MP simulations. Data are provided in CSV format to support long-term water resources planning and management in Arizona. Figures are also provided for preview. This work was funded by the Arizona Water Innovation Initiative (AWII) and directly supports the Arizona Tri-University Recharge and Water Reliability (ATUR) Project.
Created: June 5, 2026, 5:11 a.m.
Authors: Qiu, Yuan
ABSTRACT:
This dataset provides monthly hydroclimate projections for 52 groundwater basins in Arizona covering the period 1981–2099. Simulations were produced using the Noah-MP land surface model with advanced soil hydrology to represent hydrological processes across the Colorado River Basin under the SSP3-7.0 emissions scenario. Meteorological forcing was taken from the WUS-D3 dataset, which provides 9-km dynamically downscaled outputs from 14 CMIP6 global climate models over the western United States. Because raw precipitation outputs exhibited substantial positive biases over the Colorado River Basin, an additional quantile delta mapping correction was applied to constrain both the occurrence and intensity of daily precipitation. Key hydroclimate variables were then aggregated to monthly resolution over each of Arizona's 52 groundwater basins across all 14 Noah-MP simulations. Data are provided in CSV format to support long-term water resources planning and management in Arizona. Figures are also included for visual preview. This work was funded by the Arizona Water Innovation Initiative (AWII) and directly supports the Arizona Tri-University Recharge and Water Reliability (ATUR) Project.