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The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are a part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are a part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
The purpose of this dataset is to provide filtered, averaged buoy surface meteorological and oceanographic data and standardize the data format into NetCDF. The buoy was deployed by NDBC. These data are part of the observational database created for supporting the floating offshore wind project within the DOE-funded ORACLE project.
Airborne measurements are pivotal for providing detailed, spatiotemporally resolved information about atmospheric parameters and aerosol and cloud properties, thereby enhancing our understanding of dynamic atmospheric processes. For 30 years, the US Department of Energy (DOE) Office of Science supported an instrumented Gulfstream 1 (G-1) aircraft for atmospheric field campaigns. Data from the final decade of G-1 operations were archived by the Atmospheric Radiation Measurement (ARM) Data Center and made publicly available at no cost to all registered users. To ensure a consistent data format and to improve the accessibility of the ARM airborne data, an integrated dataset was recently developed covering the final 6 years of G-1 operations (2013 to 2018, https://doi.org/10.5439/1999133; Mei and Gaustad, 2024). The integrated dataset includes data collected from 236 flights (766.4 h), which covered the Arctic, the US Southern Great Plains (SGP), the US West Coast, the eastern North Atlantic (ENA), the Amazon Basin in Brazil, and the Sierras de Córdoba range in Argentina. These comprehensive data streams provide much-needed insight into spatiotemporal variability in the thermodynamic quantities and aerosol and cloud properties for addressing essential science questions in Earth system process studies. This paper describes the DOE ARM merged G-1 datasets, including information on the acquisition, data collection challenges and future potentials, and quality control processes. It further illustrates the usage of this merged dataset to evaluate the Energy Exascale Earth System Model (E3SM) with the Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package.
From Lisk et al. (in review): "In the arid and semi-arid western U.S., access to water is regulated through a legal system of water rights. Individuals, companies, organizations, municipalities, and tribal entities have documents that declare their water rights. State water regulatory agencies collate and maintain these records, which can be used in legal disputes over access to water. While these records are publicly available data in all western U.S. states, the data have not yet been readily available in digital form from all states. Furthermore, there are many differences in data format, terminology, and definitions between state water regulatory agencies. Here, we have collected water rights data from 11 western U.S. state agencies, harmonized terminology and use definitions, formatted them consistently, and tied them to a western U.S.-wide shapefile of water administrative boundaries. We demonstrate how these data enable consistent regional-scale western U.S. hydrologic and economic modeling."
From Lisk et al. (2024): "In the arid and semi-arid western U.S., access to water is regulated through a legal system of water rights. Individuals, companies, organizations, municipalities, and tribal entities have documents that declare their water rights. State water regulatory agencies collate and maintain these records, which can be used in legal disputes over access to water. While these records are publicly available data in all western U.S. states, the data have not yet been readily available in digital form from all states. Furthermore, there are many differences in data format, terminology, and definitions between state water regulatory agencies. Here, we have collected water rights data from 11 western U.S. state agencies, harmonized terminology and use definitions, formatted them consistently, and tied them to a western U.S.-wide shapefile of water administrative boundaries. We demonstrate how these data enable consistent regional-scale western U.S. hydrologic and economic modeling."