Project Grant 2138788

Award Date 1/15/22
Completion Date 12/31/24
Dollars Obligated $602K
Federal Grant Program
47.078
Assistance Type
Project Grant
Place of Performance
Boulder, CO 80305, USA
Similar Awards
The National Science Foundation Division of Polar Programs awarded Dartmouth College a $444,932 two-year Project Grant under the Polar Programs federal grant program (CFDA 47.078). The grant will support collaborative research entitled "Collaborative Research: Spatiotemporal Variability of Solar Radiation Partitioning in the Sea Ice System: Improving Climate Models Using Observations from the MOSAIC Field Campaign." Through December 2024, Dartmouth researchers will analyze observations...
The National Science Foundation awarded a $535,065 Project Grant to the University of Washington under the Polar Programs federal grant program (CFDA 47.078) to support research titled "COLLABORATIVE RESEARCH: SPATIOTEMPORAL VARIABILITY OF SOLAR RADIATION PARTITIONING IN THE SEA ICE SYSTEM: IMPROVING CLIMATE MODELS USING OBSERVATIONS FROM THE MOSAIC FIELD CAMPAIGN." The grant period runs from January 15, 2022 through December 31, 2024. Under this award, the University of Washington...
This Project Grant award from the National Science Foundation Division of Polar Programs (CFDA 47.078) provides $161,000.00 to the University of Washington to conduct collaborative research assessing the causal influence of atmospheric opacity (i.e., clouds) and sea ice on Arctic warming over the period 1980 to 2060. The research will leverage a well-established NSF-funded Earth System Model and observations, including data from the recent MOSAIC field campaign, to quantify how these factors...
The University Corporation for Atmospheric Research (UCAR), doing business as the National Center for Atmospheric Research (NCAR), received a three-year, $446,899 Project Grant award from the National Science Foundation Division of Polar Programs on September 1, 2021. The grant supports collaborative research to constrain uncertainty in Arctic climate variability, change, and impacts through process-based understanding. This work directly aligns with the goals of the Polar Programs' CFDA #47.078...
This $513,000 Project Grant award was provided by the National Science Foundation (NSF) Division of Polar Programs from August 1, 2023 to July 31, 2026. The grant supports collaborative research by the University of Colorado to assess the causal influence of atmospheric opacity (clouds) and sea ice thickness on Arctic warming over the past 40 years and into the near future. Key deliverables include quantifying the impact of these factors on Arctic warming rates using a novel modeling approach,...
This $304,752 National Science Foundation Division of Polar Programs award will fund research to improve climate model simulations of sea ice physics and feedbacks through analysis of observations from the Multidisciplinary Drifting Observatory for the Study of Arctic Climate field campaign. The University of Washington will integrate spatially and temporally coordinated field observations with single column and global climate modeling to develop parameterizations that more accurately...
The National Science Foundation awarded a $396,216 project grant to the University Corporation for Atmospheric Research under the Polar Programs federal grant program (CFDA 47.078) for the period of February 1, 2021 through January 31, 2024. The grant supports collaborative research titled "Interactions Between Arctic Cyclones, Atmospheric Rivers, and Sea Ice in a Warming Climate." The Polar Programs grant program aims to strengthen understanding of polar regions through basic research...
The National Science Foundation Division of Polar Programs awarded a $225,215 Project Grant to the University Corporation for Atmospheric Research to support research titled "COLLABORATIVE RESEARCH: INTEGRATING ANTARCTIC ENVIRONMENTAL AND BIOLOGICAL PREDICTABILITY TO OBTAIN OPTIMAL FORECASTS." The period of performance for this award is from September 1, 2021 through August 31, 2024. Under this award, the University Corporation for Atmospheric Research, operating through its National...
This Project Grant from the National Science Foundation Division of Polar Programs, under the Polar Programs federal grant program (CFDA 47.078), provides $560,052 to Colorado State University to improve seasonal sea ice extent predictability in the Arctic Ocean. The research aims to use ocean heat patterns and the timing of autumn sea ice freeze up from reanalysis data and the CESM2 Large Ensemble to evaluate which environmental variables most significantly contribute to sea ice loss. The grant...
This $261,675 Project Grant award from the National Science Foundation's (NSF) Polar Programs (CFDA 47.078) is supporting a collaborative research effort to advance predictive understanding of summertime Arctic sea ice cover. The research project aims to develop new machine learning-based models to improve forecasting of Arctic sea ice extent and behavior, which is crucial for understanding the impacts of climate change on local and global economies and societies. The award will fund a 2-year...

The National Science Foundation Division of Polar Programs awarded a $602,124 two-year Project Grant to the University Corporation for Atmospheric Research's National Center for Atmospheric Research to support research titled "Collaborative Research: Spatiotemporal Variability of Solar Radiation Partitioning in the Sea Ice System: Improving Climate Models Using Observations from the MOSAIC Field Campaign." The grant is funded under the NSF's Polar Programs (CFDA 47.078) to strengthen understanding of polar regions through basic research conducted in or uniquely enabled by polar field work. Through January 2022 to December 2024, NCAR researchers will analyze observational data collected during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition to improve representation of solar energy transfer processes in Arctic sea ice zones within climate models. Insights aim to advance climate modeling capabilities through integration of real-world measurements into models of this sensitive region.

Generated 1/7/24, 5:48 AM