Giuseppe Mascaro

Arizona State University | Assistant Professor

Subject Areas: Hydrology, Modeling

 Recent Activity

ABSTRACT:

This dataset contains compressed files with the climatological means of the main hydrologic fluxes in Arizona derived from the NOAA National Water Model CONUS Retrospective Dataset, Version 3.0:
- NWM_1981_2020_tif_1km_grid --> Geotiff files of the hydrologic fluxes at 1-km resolution
- NWM_1981_2020_summary_VEC_HUC8 --> Shapefile of the hydrologic fluxes aggregated in the HUC8 basins
- NWM_1981_2020_summary_VEC_GWBasin.zip --> Shapefile of the hydrologic fluxes aggregated in the groundwater basins

Each file is named "V_S_T.tif" or "V_S_T.shp", where V is the variable, S is the statistic, and T is the aggregation time. The convention adopted for V, S, and T is explained in the README file.

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ABSTRACT:

Replication materials for Evidence of Emerging Increasing Trends in Observed Subdaily Heavy Precipitation Frequency in the United States by Giuseppe Mascaro, Stefano Farris, and Roberto Deidda. If you have questions about the code or find any errors/bugs in it, please reach out to Giuseppe Mascaro (corresponding author). A compressed ZIP file has been provided with the MATLAB scripts and the original and intermediate data.

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ABSTRACT:

This dataset contains multi-regressions for 672 gauges across Contiguous United States (CONUS) to extend the peak dataset for enhanced Flood Frequency Analysis (FFA).

Flooding is a recurrent natural disaster causing substantial damage and casualties worldwide. A critical task to prevent and mitigate the negative impacts of these natural hazards is to characterize the frequency of flood peaks – a process known as flood frequency analysis (FFA). However, the short records of peak flow observations often limit the FFA accuracy. Here, we developed a statistical method to expand peak flow records at 672 undisturbed gauges across the United States using observations of daily mean flow, available over relatively long periods. We also quantified how FFA reliability improves by adding these expanded datasets of peak flows. This work provides datasets and benchmarks for increasing FFA accuracy, which are helpful for practitioners and government agencies responsible for flood mitigation, infrastructure design, and water management in the United States.

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ABSTRACT:

This dataset contains multi-regressions for 672 gauges across Contiguous United States (CONUS) to extend the peak dataset for enhanced Flood Frequency Analysis (FFA).

Flooding is a recurrent natural disaster causing substantial damage and casualties worldwide. A critical task to prevent and mitigate the negative impacts of these natural hazards is to characterize the frequency of flood peaks – a process known as flood frequency analysis (FFA). However, the short records of peak flow observations often limit the FFA accuracy. Here, we developed a statistical method to expand peak flow records at 672 undisturbed gauges across the United States using observations of daily mean flow, available over relatively long periods. We also quantified how FFA reliability improves by adding these expanded datasets of peak flows. This work provides datasets and benchmarks for increasing FFA accuracy, which are helpful for practitioners and government agencies responsible for flood mitigation, infrastructure design, and water management in the United States.

Show More
Resource Resource

ABSTRACT:

Replication materials for Evidence of Emerging Increasing Trends in Observed Subdaily Heavy Precipitation Frequency in the United States by Giuseppe Mascaro, Stefano Farris, and Roberto Deidda. If you have questions about the code or find any errors/bugs in it, please reach out to Giuseppe Mascaro (corresponding author). A compressed ZIP file has been provided with the MATLAB scripts and the original and intermediate data.

Show More
Resource Resource

ABSTRACT:

This dataset contains compressed files with the climatological means of the main hydrologic fluxes in Arizona derived from the NOAA National Water Model CONUS Retrospective Dataset, Version 3.0:
- NWM_1981_2020_tif_1km_grid --> Geotiff files of the hydrologic fluxes at 1-km resolution
- NWM_1981_2020_summary_VEC_HUC8 --> Shapefile of the hydrologic fluxes aggregated in the HUC8 basins
- NWM_1981_2020_summary_VEC_GWBasin.zip --> Shapefile of the hydrologic fluxes aggregated in the groundwater basins

Each file is named "V_S_T.tif" or "V_S_T.shp", where V is the variable, S is the statistic, and T is the aggregation time. The convention adopted for V, S, and T is explained in the README file.

Show More