Competition 1: AC4 - The Role of Reactive Nitrogen in Biogenic VOC Oxidation and Aerosol Formation
Information Sheet (pdf)
Number: 2633911
Manager: Monika Kopacz |
Aerosols and aerosol formation have a significant influence on both climate and air quality. There are, however, a number of uncertainties in fully understanding and representing reactive nitrogen processes in the atmosphere as they relate to aerosol formation. In FY18, as part of its continuing interest in the nitrogen cycle, the AC4 program announcement focuses on laboratory, modeling, and analysis studies (of existing field data) that investigate the mechanisms of BVOC oxidation involving reactive nitrogen species.
Competition 2: MAPP - Advancing Earth System Data Assimilation
Information Sheet (pdf)
Number: 2647250
Manager: Heather Archambault |
The MAPP Program solicits exploratory projects on coupled data assimilation in support of NOAA’s plans for unified modeling and prediction across scales. Additional foci include improving data assimilation or data assimilation-based monitoring products for individual components of the Earth system (i.e., the cryosphere, ocean, including biogeochemistry, land surface, and atmospheric chemistry).
Competition 3: MAPP - Addressing Key Issues in CMIP6-era Earth System Models
Information Sheet (pdf)
Number: 2647349
Manager: Dan Barrie |
The MAPP program is soliciting projects that address key issues in the Coupled Model Intercomparison Project - Phase 6 (CMIP6) Earth System Models -- in particular, systematic biases in these models. Projects will utilize CMIP-6 model data to examine and improve the representation of processes associated to the cryosphere, weather and climate extremes, and sea level and coastal dynamics.
Competition 4: Climate Test Bed - Advancing NOAA's Operational Subseasonal to Seasonal Prediction Capability
Information Sheet (pdf)
Number: 2647351
Manager: Heather Archambault |
The objective of this competition is to involve the external community in advancing the NOAA/NCEP/NWS Climate Prediction Center’s operational subseasonal to seasonal prediction capabilities as part of the NOAA Climate Test Bed. Priorities include optimizing the North American Multi-Model Ensemble system to meet operational requirements, and testing experimental subseasonal-to-seasonal prediction methodologies (e.g. new calibration or post-processing techniques) developed in the broader community for operational purposes
Competition 5: OOM - High-quality data sets for enhancing predictions and informing stakeholders
Information Sheet (pdf)
Number: 2648028
Manager: David Legler |
The OOM Monitoring Program is soliciting projects that will develop long term, climate quality data sets and products that will address key climate processes and uncertainties, particularly those that can reduce uncertainty in key processes in climate models, and those that inform our understanding, monitoring and projections of the frequency and occurrence of weather and climate extremes.
Competition 6: SARP - Extreme Events Preparedness, Planning, and Adaptation Within the Water Sector
Information Sheet (pdf)
Number: 2648827
Manager: Nancy Beller-Simms |
SARP will award grants focused on developing strategies for increasing community resilience in U.S. towns, municipalities or small cities planning for the impacts of extreme precipitation events (too much or too little water) on their civilian population. Proposals should focus on the impact of extreme events on water resources and water-resource dependent activities (e.g., land use, watershed and water utility planning, emergency preparedness), specifically the connection between communication of risk and the design and implementation of risk mitigation and reduction strategies.
Competition 7: SARP - Coping with Drought in Support of the National Integrated Drought Information System (NIDIS)
Information Sheet (pdf)
Number: 2648829
Manager: Nancy Beller-Simms |
The SARP portion of the Coping with Drought Initiative will focus on advancing NIDIS regional drought early warning systems through a better understanding of how to better provide early warning through enhanced language, metrics and joint decision spaces (e.g., calendars, etc.).