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Richard P Signell, Ph.D. (Former Employee)

Science and Products

USGS science for a changing world logo

Processing a new generation of hyperspectral data on the Cloud using Pangeo

We aim to migrate our research workflow from a closed system to an open framework, increasing flexibility and transparency in our science and accessibility of our data. Our hyperspectral data of agricultural crops are crucial for training/ validating machine learning algorithms to study food security, land use, etc. Generating such data is resource-intensive and requires expertise...
By
Community for Data Integration (CDI)
Processing a new generation of hyperspectral data on the Cloud using Pangeo

Processing a new generation of hyperspectral data on the Cloud using Pangeo

We aim to migrate our research workflow from a closed system to an open framework, increasing flexibility and transparency in our science and accessibility of our data. Our hyperspectral data of agricultural crops are crucial for training/ validating machine learning algorithms to study food security, land use, etc. Generating such data is resource-intensive and requires expertise, proprietary
Learn More
Map showing the Gulf of Maine, Middle Atlantic Bight, South Atlantic Bight, and Gulf of Mexico regions

Sea Floor Stress and Sediment Mobility Database

The U.S. Geological Survey Sea Floor Stress and Sediment Mobility Database contains estimates of wave-current bottom stress and sediment mobility for the U.S. Atlantic and Gulf Coast continental shelf regions.
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Sea Floor Stress and Sediment Mobility Database

Sea Floor Stress and Sediment Mobility Database

The U.S. Geological Survey Sea Floor Stress and Sediment Mobility Database contains estimates of wave-current bottom stress and sediment mobility for the U.S. Atlantic and Gulf Coast continental shelf regions.
Learn More
sunset over wetland

Estuarine Processes, Hazards, and Ecosystems

Estuarine processes, hazards, and ecosystems describes several interdisciplinary projects that aim to quantify and understand estuarine processes through observations and numerical modeling. Both the spatial and temporal scales of these mechanisms are important, and therefore require modern instrumentation and state-of-the-art hydrodynamic models. These projects are led from the U.S. Geological...
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Chesapeake Bay Activities, Woods Hole Coastal and Marine Science Center, Hurricane Sandy, USGS Science in Long Island Sound and its Watershed
Estuarine Processes, Hazards, and Ecosystems

Estuarine Processes, Hazards, and Ecosystems

Estuarine processes, hazards, and ecosystems describes several interdisciplinary projects that aim to quantify and understand estuarine processes through observations and numerical modeling. Both the spatial and temporal scales of these mechanisms are important, and therefore require modern instrumentation and state-of-the-art hydrodynamic models. These projects are led from the U.S. Geological...
Learn More
Map of daily-averaged ocean surface current data

Coastal Model Applications and Field Measurements- Tools and Standards for Ocean Modeling

Ocean models provide critical information for coastal and marine spatial planning, emergency responders and for understanding implications of climate change and human activities. Models are run by numerous academic institutions and government agencies, typically with different access protocols that stifle use, comparison with data, and innovation.
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Coastal Model Applications and Field Measurements- Tools and Standards for Ocean Modeling

Coastal Model Applications and Field Measurements- Tools and Standards for Ocean Modeling

Ocean models provide critical information for coastal and marine spatial planning, emergency responders and for understanding implications of climate change and human activities. Models are run by numerous academic institutions and government agencies, typically with different access protocols that stifle use, comparison with data, and innovation.
Learn More
Photograph of a jetyak

Coastal Model Applications and Field Measurements- Advances in Instrumentation

Ongoing acquisition of new instruments and development of analytical methods provides us with the means to make better observations of coastal ocean processes. The measurements provide us with insight and data for critical evaluation of model performance. Advances in a range of measurement capabilities, including bottom stress, sediment erodibility, water properties and nutrient concentrations...
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Coastal Model Applications and Field Measurements- Advances in Instrumentation

Coastal Model Applications and Field Measurements- Advances in Instrumentation

Ongoing acquisition of new instruments and development of analytical methods provides us with the means to make better observations of coastal ocean processes. The measurements provide us with insight and data for critical evaluation of model performance. Advances in a range of measurement capabilities, including bottom stress, sediment erodibility, water properties and nutrient concentrations...
Learn More
Model results from steady, uniform flow with floc dynamics.

Coastal Model Applications and Field Measurements- Ocean Model Contributions

The U.S. Geological Survey (USGS) and Woods Hole Oceanographic Institution (WHOI) led a project funded by the National Oceanographic Partnership Program (NOPP) with support from the Office of Naval Research (ONR) and the National Science Foundation (NSF), to develop a community sediment-transport modeling system (CSTMS).
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Coastal Model Applications and Field Measurements- Ocean Model Contributions

Coastal Model Applications and Field Measurements- Ocean Model Contributions

The U.S. Geological Survey (USGS) and Woods Hole Oceanographic Institution (WHOI) led a project funded by the National Oceanographic Partnership Program (NOPP) with support from the Office of Naval Research (ONR) and the National Science Foundation (NSF), to develop a community sediment-transport modeling system (CSTMS).
Learn More

USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data

This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(Vose and others, 2020) ClimGrid data for precipitation...
By
Maryland-Delaware-D.C. Water Science Center

30-Year (1990-2019) Annual Average of DAYMET Precipitation and Temperature for North America 30-Year (1990-2019) Annual Average of DAYMET Precipitation and Temperature for North America

This metadata record describes the 30-year annual average of precipitation in millimeters (mm) and temperature (Celsius) during the period 1990–2019 for North America. The source data were produced by and acquired from DAYMET daily climate data (2020) and presented here as a series of two 1-kilometer resolution GeoTIFF files. An open source python code file used to process the data is...
By
Maryland-Delaware-D.C. Water Science Center

USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data

This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(NOAA, 2020) ClimGrid data for precipitation and...
By
Maryland-Delaware-D.C. Water Science Center, Drought

Bathymetry and backscatter intensity of the sea floor of the Sandy Hook artificial reef, offshore of New Jersey Bathymetry and backscatter intensity of the sea floor of the Sandy Hook artificial reef, offshore of New Jersey

The Sandy Hook artificial reef, located on the sea floor offshore of Sandy Hook, New Jersey was built to create habitat for marine life. The reef was created by the placement of heavy materials on the sea floor; ninety-five percent of the material in the Sandy Hook reef is rock. In 2000, the U.S. Geological Survey surveyed the area using a Simrad EM1000 multibeam echosounder mounted on...
By
Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Bathymetry and backscatter intensity of the sea floor of the Atlantic Beach artificial reef, offshore of New York Bathymetry and backscatter intensity of the sea floor of the Atlantic Beach artificial reef, offshore of New York

The Atlantic Beach artificial reef, located on the sea floor 3 nautical miles south of Atlantic Beach, New York in about 20 meters water depth, was built to create habitat for marine life. The reef was originally created by placing heavy materials such as tires, automobile bodies and other vehicles, barges, and rock from a dredging project on the sea floor. In 2000, the U.S. Geological...
By
Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Bathymetry and backscatter intensity of the sea floor of the Hudson Shelf Valley Bathymetry and backscatter intensity of the sea floor of the Hudson Shelf Valley

The Hudson Shelf Valley is the submerged seaward extension of the ancestral Hudson River drainage system and is the largest physiographic feature on the Middle Atlantic continental shelf. The valley begins offshore of New York and New Jersey at about 30-meter (m) water depth, runs southerly and then southeasterly across the Continental Shelf, and terminates on the outer shelf at about 85...
By
Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Filter Total Items: 90

Science storms the cloud Science storms the cloud

The core tools of science (data, software, and computers) are undergoing a rapid and historic evolution, changing what questions scientists ask and how they find answers. Earth science data are being transformed into new formats optimized for cloud storage that enable rapid analysis of multi-petabyte data sets. Data sets are moving from archive centers to vast cloud data storage...
Authors
C. L. Gentemann, C. Holdgraf, Ryan Abernathey, D. Crichton, J Colliander, E. J. Kearns, Y Panda, Richard P. Signell
By
Woods Hole Coastal and Marine Science Center

Cloud-native repositories for big scientific data Cloud-native repositories for big scientific data

Scientific data have traditionally been distributed via downloads from data server to local computer. This way of working suffers from limitations as scientific datasets grow toward the petabyte scale. A “cloud-native data repository,” as defined in this article, offers several advantages over traditional data repositories—performance, reliability, cost-effectiveness, collaboration
Authors
Ryan Abernathey, Tom Augspurger, Anderson Banihirwe, Charles C. Blackmon-Luca, Timothy Crone, Chelle Gentemann, Joseph Hamman, Naomi Henderson, Chiara Lepore, Theo McCaie, Niall Robinson, Richard P. Signell
By
Woods Hole Coastal and Marine Science Center

Spatial distribution of water level impact to back-barrier bays Spatial distribution of water level impact to back-barrier bays

Water level in semi-enclosed bays, landward of barrier islands, is mainly driven by offshore sea level fluctuations that are modulated by bay geometry and bathymetry, causing spatial variability in the ensuing response (transfer). Local wind setup can have a secondary role that depends on wind speed, fetch, and relative orientation of the wind direction and the bay. Inlet geometry and...
Authors
Alfredo Aretxabaleta, Neil K. Ganju, Zafer Defne, Richard P. Signell
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center, Pacific Coastal and Marine Science Center

From the oceans to the cloud: Opportunities and challenges for data, models, computation and workflows From the oceans to the cloud: Opportunities and challenges for data, models, computation and workflows

Advances in ocean observations and models mean increasing flows of data. Integrating observations between disciplines over spatial scales from regional to global presents challenges. Running ocean models and managing the results is computationally demanding. The rise of cloud computing presents an opportunity to rethink traditional approaches. This includes developing shared data...
Authors
Tiffany Vance, Micah Wengren, Eugene F. Burger, Debra Hernandez, Timothy Kearns, Encarni Medina-Lopez, Nazila Merati, Kevin O’Brien, Jonathan O’Neil, J. Potemra, Richard P. Signell, Kyle Wilcox
By
Woods Hole Coastal and Marine Science Center

Analysis and visualization of coastal ocean model data in the cloud Analysis and visualization of coastal ocean model data in the cloud

The traditional flow of coastal ocean model data is from High Performance Computing (HPC) centers to the local desktop, or to a file server where just the data needed can be extracted via services such as OPeNDAP. Analysis and visualization is then conducted using local hardware and software. This requires moving large amounts of data across the internet as well as acquiring and...
Authors
Richard P. Signell, Dharhas Pothina
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Community for Data Integration fiscal year 2017 funded project report Community for Data Integration fiscal year 2017 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 11 projects funded in fiscal year 2017, outlining their goals, activities, and outputs.
Authors
Leslie Hsu, Kate E. Allstadt, Tara M. Bell, Erin E. Boydston, Richard A. Erickson, A. Lance Everette, Erika E. Lentz, Jeff Peters, Brian Reichert, Sarah Nagorsen, Jason T. Sherba, Richard P. Signell, Mark T. Wiltermuth, John A. Young
By
Core Science Systems Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis, and Research Program, Community for Data Integration (CDI)

Science and Products

USGS science for a changing world logo

Processing a new generation of hyperspectral data on the Cloud using Pangeo

We aim to migrate our research workflow from a closed system to an open framework, increasing flexibility and transparency in our science and accessibility of our data. Our hyperspectral data of agricultural crops are crucial for training/ validating machine learning algorithms to study food security, land use, etc. Generating such data is resource-intensive and requires expertise...
By
Community for Data Integration (CDI)
Processing a new generation of hyperspectral data on the Cloud using Pangeo

Processing a new generation of hyperspectral data on the Cloud using Pangeo

We aim to migrate our research workflow from a closed system to an open framework, increasing flexibility and transparency in our science and accessibility of our data. Our hyperspectral data of agricultural crops are crucial for training/ validating machine learning algorithms to study food security, land use, etc. Generating such data is resource-intensive and requires expertise, proprietary
Learn More
Map showing the Gulf of Maine, Middle Atlantic Bight, South Atlantic Bight, and Gulf of Mexico regions

Sea Floor Stress and Sediment Mobility Database

The U.S. Geological Survey Sea Floor Stress and Sediment Mobility Database contains estimates of wave-current bottom stress and sediment mobility for the U.S. Atlantic and Gulf Coast continental shelf regions.
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Sea Floor Stress and Sediment Mobility Database

Sea Floor Stress and Sediment Mobility Database

The U.S. Geological Survey Sea Floor Stress and Sediment Mobility Database contains estimates of wave-current bottom stress and sediment mobility for the U.S. Atlantic and Gulf Coast continental shelf regions.
Learn More
sunset over wetland

Estuarine Processes, Hazards, and Ecosystems

Estuarine processes, hazards, and ecosystems describes several interdisciplinary projects that aim to quantify and understand estuarine processes through observations and numerical modeling. Both the spatial and temporal scales of these mechanisms are important, and therefore require modern instrumentation and state-of-the-art hydrodynamic models. These projects are led from the U.S. Geological...
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Chesapeake Bay Activities, Woods Hole Coastal and Marine Science Center, Hurricane Sandy, USGS Science in Long Island Sound and its Watershed
Estuarine Processes, Hazards, and Ecosystems

Estuarine Processes, Hazards, and Ecosystems

Estuarine processes, hazards, and ecosystems describes several interdisciplinary projects that aim to quantify and understand estuarine processes through observations and numerical modeling. Both the spatial and temporal scales of these mechanisms are important, and therefore require modern instrumentation and state-of-the-art hydrodynamic models. These projects are led from the U.S. Geological...
Learn More
Map of daily-averaged ocean surface current data

Coastal Model Applications and Field Measurements- Tools and Standards for Ocean Modeling

Ocean models provide critical information for coastal and marine spatial planning, emergency responders and for understanding implications of climate change and human activities. Models are run by numerous academic institutions and government agencies, typically with different access protocols that stifle use, comparison with data, and innovation.
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Coastal Model Applications and Field Measurements- Tools and Standards for Ocean Modeling

Coastal Model Applications and Field Measurements- Tools and Standards for Ocean Modeling

Ocean models provide critical information for coastal and marine spatial planning, emergency responders and for understanding implications of climate change and human activities. Models are run by numerous academic institutions and government agencies, typically with different access protocols that stifle use, comparison with data, and innovation.
Learn More
Photograph of a jetyak

Coastal Model Applications and Field Measurements- Advances in Instrumentation

Ongoing acquisition of new instruments and development of analytical methods provides us with the means to make better observations of coastal ocean processes. The measurements provide us with insight and data for critical evaluation of model performance. Advances in a range of measurement capabilities, including bottom stress, sediment erodibility, water properties and nutrient concentrations...
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Coastal Model Applications and Field Measurements- Advances in Instrumentation

Coastal Model Applications and Field Measurements- Advances in Instrumentation

Ongoing acquisition of new instruments and development of analytical methods provides us with the means to make better observations of coastal ocean processes. The measurements provide us with insight and data for critical evaluation of model performance. Advances in a range of measurement capabilities, including bottom stress, sediment erodibility, water properties and nutrient concentrations...
Learn More
Model results from steady, uniform flow with floc dynamics.

Coastal Model Applications and Field Measurements- Ocean Model Contributions

The U.S. Geological Survey (USGS) and Woods Hole Oceanographic Institution (WHOI) led a project funded by the National Oceanographic Partnership Program (NOPP) with support from the Office of Naval Research (ONR) and the National Science Foundation (NSF), to develop a community sediment-transport modeling system (CSTMS).
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Coastal Model Applications and Field Measurements- Ocean Model Contributions

Coastal Model Applications and Field Measurements- Ocean Model Contributions

The U.S. Geological Survey (USGS) and Woods Hole Oceanographic Institution (WHOI) led a project funded by the National Oceanographic Partnership Program (NOPP) with support from the Office of Naval Research (ONR) and the National Science Foundation (NSF), to develop a community sediment-transport modeling system (CSTMS).
Learn More

USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data

This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(Vose and others, 2020) ClimGrid data for precipitation...
By
Maryland-Delaware-D.C. Water Science Center

30-Year (1990-2019) Annual Average of DAYMET Precipitation and Temperature for North America 30-Year (1990-2019) Annual Average of DAYMET Precipitation and Temperature for North America

This metadata record describes the 30-year annual average of precipitation in millimeters (mm) and temperature (Celsius) during the period 1990–2019 for North America. The source data were produced by and acquired from DAYMET daily climate data (2020) and presented here as a series of two 1-kilometer resolution GeoTIFF files. An open source python code file used to process the data is...
By
Maryland-Delaware-D.C. Water Science Center

USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data

This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(NOAA, 2020) ClimGrid data for precipitation and...
By
Maryland-Delaware-D.C. Water Science Center, Drought

Bathymetry and backscatter intensity of the sea floor of the Sandy Hook artificial reef, offshore of New Jersey Bathymetry and backscatter intensity of the sea floor of the Sandy Hook artificial reef, offshore of New Jersey

The Sandy Hook artificial reef, located on the sea floor offshore of Sandy Hook, New Jersey was built to create habitat for marine life. The reef was created by the placement of heavy materials on the sea floor; ninety-five percent of the material in the Sandy Hook reef is rock. In 2000, the U.S. Geological Survey surveyed the area using a Simrad EM1000 multibeam echosounder mounted on...
By
Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Bathymetry and backscatter intensity of the sea floor of the Atlantic Beach artificial reef, offshore of New York Bathymetry and backscatter intensity of the sea floor of the Atlantic Beach artificial reef, offshore of New York

The Atlantic Beach artificial reef, located on the sea floor 3 nautical miles south of Atlantic Beach, New York in about 20 meters water depth, was built to create habitat for marine life. The reef was originally created by placing heavy materials such as tires, automobile bodies and other vehicles, barges, and rock from a dredging project on the sea floor. In 2000, the U.S. Geological...
By
Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Bathymetry and backscatter intensity of the sea floor of the Hudson Shelf Valley Bathymetry and backscatter intensity of the sea floor of the Hudson Shelf Valley

The Hudson Shelf Valley is the submerged seaward extension of the ancestral Hudson River drainage system and is the largest physiographic feature on the Middle Atlantic continental shelf. The valley begins offshore of New York and New Jersey at about 30-meter (m) water depth, runs southerly and then southeasterly across the Continental Shelf, and terminates on the outer shelf at about 85...
By
Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Filter Total Items: 90

Science storms the cloud Science storms the cloud

The core tools of science (data, software, and computers) are undergoing a rapid and historic evolution, changing what questions scientists ask and how they find answers. Earth science data are being transformed into new formats optimized for cloud storage that enable rapid analysis of multi-petabyte data sets. Data sets are moving from archive centers to vast cloud data storage...
Authors
C. L. Gentemann, C. Holdgraf, Ryan Abernathey, D. Crichton, J Colliander, E. J. Kearns, Y Panda, Richard P. Signell
By
Woods Hole Coastal and Marine Science Center

Cloud-native repositories for big scientific data Cloud-native repositories for big scientific data

Scientific data have traditionally been distributed via downloads from data server to local computer. This way of working suffers from limitations as scientific datasets grow toward the petabyte scale. A “cloud-native data repository,” as defined in this article, offers several advantages over traditional data repositories—performance, reliability, cost-effectiveness, collaboration
Authors
Ryan Abernathey, Tom Augspurger, Anderson Banihirwe, Charles C. Blackmon-Luca, Timothy Crone, Chelle Gentemann, Joseph Hamman, Naomi Henderson, Chiara Lepore, Theo McCaie, Niall Robinson, Richard P. Signell
By
Woods Hole Coastal and Marine Science Center

Spatial distribution of water level impact to back-barrier bays Spatial distribution of water level impact to back-barrier bays

Water level in semi-enclosed bays, landward of barrier islands, is mainly driven by offshore sea level fluctuations that are modulated by bay geometry and bathymetry, causing spatial variability in the ensuing response (transfer). Local wind setup can have a secondary role that depends on wind speed, fetch, and relative orientation of the wind direction and the bay. Inlet geometry and...
Authors
Alfredo Aretxabaleta, Neil K. Ganju, Zafer Defne, Richard P. Signell
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center, Pacific Coastal and Marine Science Center

From the oceans to the cloud: Opportunities and challenges for data, models, computation and workflows From the oceans to the cloud: Opportunities and challenges for data, models, computation and workflows

Advances in ocean observations and models mean increasing flows of data. Integrating observations between disciplines over spatial scales from regional to global presents challenges. Running ocean models and managing the results is computationally demanding. The rise of cloud computing presents an opportunity to rethink traditional approaches. This includes developing shared data...
Authors
Tiffany Vance, Micah Wengren, Eugene F. Burger, Debra Hernandez, Timothy Kearns, Encarni Medina-Lopez, Nazila Merati, Kevin O’Brien, Jonathan O’Neil, J. Potemra, Richard P. Signell, Kyle Wilcox
By
Woods Hole Coastal and Marine Science Center

Analysis and visualization of coastal ocean model data in the cloud Analysis and visualization of coastal ocean model data in the cloud

The traditional flow of coastal ocean model data is from High Performance Computing (HPC) centers to the local desktop, or to a file server where just the data needed can be extracted via services such as OPeNDAP. Analysis and visualization is then conducted using local hardware and software. This requires moving large amounts of data across the internet as well as acquiring and...
Authors
Richard P. Signell, Dharhas Pothina
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Community for Data Integration fiscal year 2017 funded project report Community for Data Integration fiscal year 2017 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 11 projects funded in fiscal year 2017, outlining their goals, activities, and outputs.
Authors
Leslie Hsu, Kate E. Allstadt, Tara M. Bell, Erin E. Boydston, Richard A. Erickson, A. Lance Everette, Erika E. Lentz, Jeff Peters, Brian Reichert, Sarah Nagorsen, Jason T. Sherba, Richard P. Signell, Mark T. Wiltermuth, John A. Young
By
Core Science Systems Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis, and Research Program, Community for Data Integration (CDI)
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