This $1,499,999 Project Grant awarded by the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) will establish the ACCELNET-ACCORD network to advance climate change research and adaptation in the Andes mountain region. The key products and services to be delivered through this 4-year award include: Developing a new, comprehensive Andean climate database and observational network to improve understanding of Andean mountain climate dynamics, extreme events,...
This Project Grant award of $300,000.00 was granted by the National Science Foundation (NSF) under the Office of International Science and Engineering (OISE) Federal Grant Program (CFDA 47.079). The primary goal of the project, titled "ACCELNET-IMPLEMENTATION PHASE 1: MICROBENET-NET: MULTI-INSTITUTE COLLABORATIVE RESEARCH ON BELOWGROUND PLANT-MICROBIAL INTERACTIONS NETWORK OF NETWORKS", is to unite diverse research networks from around the world to integrate databases and tools,...
The National Science Foundation (NSF) awarded a $1,499,792 Project Grant under its Office of International Science and Engineering (OISE) program (CFDA 47.079) to New York University (NYU) for the "ACCELNET IMPLEMENTATION PHASE I: ACCELERATING COORDINATION ACROSS RESEARCH AND POLICY NETWORKS TO HALVE NITROGEN WASTE (IN-NET) - THE INTERNATIONAL NITROGEN NETWORK (IN-NET)" project. The grant will establish the IN-NET, an international network of networks, to address gaps between research,...
This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $933,987 to Michigan State University's Toolbox Dialogue Initiative Center (TDIC) to support the Accelerating Research Through International Network-to-Network Collaboration (ACCELNET) researcher community. The primary activities include: Hosting annual in-person meetings and professional development workshops for ACCELNET awardees and early career researchers....
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Massachusetts (UMass) to investigate distributed machine learning for climate modeling and weather forecasting. Through this EAGER (EArly-concept Grants for Exploratory Research) award, UMass will leverage existing testbeds, including the CASA radar network, to support the development of a National Discovery Cloud for Climate...
This $341,117 project grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research to improve understanding of potential changes to El Niño-Southern Oscillation (ENSO) impacts from climate change. The awardee, North Carolina State University, will use sophisticated computer modeling to systematically test scenarios of how different possible future changes to ENSO could alter temperature and precipitation patterns over North America. The research seeks to...
This $1,500,000 Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) will fund the "ACCELNET IMPLEMENTATION PHASE 1: BIOINVASION RESEARCH INTEGRATION ACROSS DYNAMIC GLOBAL ECOSYSTEMS (BRIDGE)" program. The program aims to advance fundamental science on marine invasive species and establish standardized protocols and capacity to support effective biosecurity policies globally. Key activities include developing...
This $673,418 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research at North Carolina State University to improve understanding of monthly flood dynamics over the southeastern and south-central United States. Specifically, the university will quantify shifts in flood climatology, identify moisture delivery pathways for floods, and attribute sources of modulation for floods' spatiotemporal variability. Researchers will examine historical...
This Project Grant award of $199,316.00 from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) aims to advance the understanding of how extreme weather events, such as heavy rainfall and flooding, may change in response to future climate scenarios. The project, titled "EMBRACE-AGS-SEED: Harnessing the Power of Machine Learning to Generate Ensembles of Regional Climate Projections," will evaluate whether artificial intelligence and machine learning can provide...
This Project Grant award from the National Aeronautics and Space Administration (NASA) Science Mission Directorate (CFDA 43.001 - Science) provides $405,354 to North Carolina State University (NC State) to address the issue of climate-induced sea-level rise and coastal flooding. The project aims to develop maps, real-time data streams, and sensor-based estimates of flood frequency at the community level. This will support local governments in demonstrating potential inequities and quantifying...
This Project Grant award of $1,495,400.00 from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) supports the "ACCELNET Implementation Phase 1: International Network of Networks (S2S-ACCELNET) for Accelerating S2S Hydroclimate Forecast Applications and Services" project at North Carolina State University.
The project aims to build a network of national and international subseasonal-to-seasonal (S2S) forecasting agencies and sectoral agencies to accelerate the uptake of S2S forecasts, applications, and services. Key objectives include identifying research opportunities and challenges, recommending pilot regions, developing an open-source S2S-ACCELNET Hub platform, and executing interdisciplinary outreach and early-career exchange programs. Sub-awards have been made to The City College of New York and Columbia University to contribute expertise in data curation, integration, and capacity building for S2S forecasts in India. The project seeks to promote convergent research, improve strategies for sectoral uptake, and develop adaptive management policies leveraging enhanced S2S forecasts.