To meet current and future needs of the geosciences research and education community, the National Science Foundation (NSF) recently awarded fifteen grants that focus on ten EarthCube interconnected projects. The new grants engage an array of geosciences, cyberinfrastructure, computer science, and associated communities.
The new awards include the following:
A data-driven modeling infrastructure to support research and education in volcanology, geochemistry and petrology (Award Abstract) PI: Kerstin Lehnert / Co-PIs: Roger Nielsen, Gokce Ustunisik, Peng Ji
A data-driven modeling infrastructure to support research and education in volcanology, geochemistry and petrology (Award Abstract) PI: Paul Asimow / Co-PI: Paula Antoshechkin
A data-driven modeling infrastructure to support research and education in volcanology, geochemistry and petrology (Award Abstract) PI: Mark Ghiorso / Co-PI: Aaron Wolf
MELODIES for MUSICA: A modular framework to compare model results and observations of atmospheric chemistry (Award Abstract) PI: Louisa Emmons / Co-PIs: Gabriele Pfister, Simone Tilmes, Benjamin Gaubert
Cloud-Based Accessible and Reproducible Modeling for Water and Sediment Research (Award Abstract) PI: Gregory Tucker / Co-PI: Eric W Hutton
Expanding the Ocean Protein Portal Capabilities for Use in Biochemical Research and Education (Award Abstract) PI: Mak Saito / Co-PIs: Danie Kinkade, Adam Shepherd, Jaclyn Saunders
A Cloud-Native Data Repository for the Geoscience Community (Award Abstract) PI: Ryan Abernathey / Co-PIs: Timothy Crone, Chiara Lepore, Naomi Henderson
Enabling analysis of heterogeneous, multi-source cryospheric data (Award Abstract) PI: Morteza Karimzadeh / Co-PIs: Walter Meier, Siri Jodha Khalsa, Andrew Barrett
Enabling analysis of heterogeneous, multi-source cryospheric data (Award Abstract) PI: Farnoush Banaei-Kashani
Solutions for Paleobotany: a web client hosting novel content and its integration with existing databases (Award Abstract) PI: Ellen Currano
Rapid response to existing community demand through next generation web infrastructure to integrate Argo and GO-SHIP (Award Abstract) PI: Donata Giglio
Rapid response to existing community demand through next generation web infrastructure to integrate Argo and GO-SHIP (Award Abstract) PI: Sarah Purkey
Project Pythia: A Community Learning Resource for Geoscientists (Award Abstract) PI: John Clyne / Co-PIs: Ryan May, Kevin Paul, Matthew Long
Project Pythia: A Community Learning Resource for Geoscientists (Award Abstract) PI: Brian Rose
EarthCube RCN for Marine Ecological Time Series (METS) (Award Abstract) PI: Heather Benway / Co-PI: Danie Kinkade
“We are excited to welcome these new projects and their teams into the EarthCube community, where we look forward to supporting their needs for outreach, integration with other EarthCube projects, and being responsive to their suggestions about EarthCube’s direction,” said Christine Kirkpatrick, EarthCube Office principal investigator and division director of the San Diego Supercomputer Center’s Research Data Services Division. “These new projects enhance an already vibrant landscape of EarthCube tools, data, software, and services, and allow us to focus on integrating new geosciences capabilities while simultaneously exploring new frontiers in geosciences research.”
NSF's EarthCube program co-funded an additional 15 awards:
RAISE: Guiding Earth Educators to Transformative Resources: Broadening the Scope and Increasing the Efficacy of the SERC Discovery System (Award Abstract) PI: Sean Fox / Co-PIs: Cathryn Manduca, Ellen Iverson, Cailin Orr
Accelerating Open and FAIR Data Practices Across the Earth, Space, and Environmental Sciences: A Pilot with the NSF to Support Public Access to Research Data (Award Abstract) PI: Royce Hanson
Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning (Award Abstract) PI: Pedram Hassanzadeh
Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning (Award Abstract) PI: M Joan Alexander
Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning (Award Abstract) PI: Edwin Gerber / Co-PI: Lakshminarayan Subramanian
Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning (Award Abstract) PI: Aditi Sheshadri
Frameworks: Ghub as a Community-Driven Data-Model Framework for Ice-Sheet Science (Award Abstract) PI: Jason Briner / Co-PIs: Beata Csatho, Anton Schenk, Jeanette Sperhac, Kristin Poinar
Frameworks: Ghub as a Community-Driven Data-Model Framework for Ice-Sheet Science (Award Abstract) PI: Abani Patra
Frameworks: Ghub as a Community-Driven Data-Model Framework for Ice-Sheet Science (Award Abstract) PI: William Lipscomb
Frameworks: Internet of Samples: Toward an Interdisciplinary Cyberinfrastructure for Material Samples (Award Abstract) PI: Kerstin Lehnert / Co-PI: Sarah Ramdeen
Frameworks: Internet of Samples: Toward an Interdisciplinary Cyberinfrastructure for Material Samples (Award Abstract) PI: Ramona Walls
Frameworks: Internet of Samples: Toward an Interdisciplinary Cyberinfrastructure for Material Samples (Award Abstract) PI: Neil Davies / Co-PI: Christopher Meyer
Frameworks: Internet of Samples: Toward an Interdisciplinary Cyberinfrastructure for Material Samples (Award Abstract) PI: David Vieglais
Frameworks: Community-Based Weather and Climate Simulation With a Global Storm-Resolving Model (Award Abstract) PI: David Randall / Co-PI: James Hurrell
Frameworks: Community-Based Weather and Climate Simulation With a Global Storm-Resolving Model (Award Abstract) PI: Andrew Gettelman / Co-PIs: William Skamarock, Richard Loft
