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Modeling, Analysis, Predictions and Projections (MAPP) program: Early Career Award for Exceptional Research in Earth System Model Development and Application is sponsored by National Oceanic and Atmospheric Administration (NOAA) Climate Program Office (CPO). Part of NOAA CPO's FY 2025 grant competitions, this award supports early-career researchers conducting exceptional research in Earth system model development and application, contributing to a better understanding of the Earth's climate system.
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Or search similar grants →According to the current listing, eligibility includes: Early career researchers across the nation, including partners across NOAA, tribal nations, and the broader academic, federal, international, and private sector communities. Confirm the full requirements in the official notice before applying.
Modeling, Analysis, Predictions and Projections (MAPP) program: Early Career Award for Exceptional Research in Earth System Model Development and Application is funded by National Oceanic and Atmospheric Administration (NOAA) Climate Program Office (CPO). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Earth System Science and Services Partnership (ESSSP) is sponsored by National Oceanic and Atmospheric Administration (NOAA) Climate Program Office (CPO). The Earth System Science and Services Partnership (ESSSP) provides cooperative agreement funding to academic and non-profit research institutions for collaborative research and activities aligned with NOAA's mission to understand and predict changes in Earth's systems.
Earth's Radiation Budget (ERB) Program - Atmospheric Aerosols and Their Potential Roles in Solar Climate Intervention Methods is sponsored by National Oceanic and Atmospheric Administration (NOAA) Climate Program Office (CPO). This competition aligns with NOAA research priorities for improving the foundational understanding of atmospheric aerosols and their representation in numerical models, in order to assess potential solar climate intervention approaches.
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