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The DOE SC program in Biological and Environmental Research (BER) hereby announces its interest in receiving applications for Atmospheric System Research (ASR) within BER's Earth and Environmental Systems Sciences Division (EESSD). ASR supports research on key cloud, aerosol, precipitation, and radiative transfer processes that affect the Earth's radiative balance and hydrological cycle, especially processes that limit the predictive ability of regional and global models. This FOA solicits research grant applications for observational, data analysis, and/or modeling studies that use observations[1] supported by BER, including the Atmospheric Radiation Measurement (ARM) user facility, to improve understanding and model representation of: 1) aerosol-cloud interactions, 2) aerosol processes, 3) warm boundary layer processes, 4) Arctic atmospheric processes from ARM's Cold-Air Outbreaks in the Marine Boundary Layer Experiment (COMBLE) and Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) campaigns, and/or 5) convective cloud processes from ARM's Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign. All research supported from awards under this FOA is intended to benefit the public through increasing our understanding of the Earth system.

The Atmospheric System Research Program (ASR) in the Climate and Environmental Sciences Division (CESD), Office of Biological and Environmental Research (BER) of the Office of Science (SC), U.S. Department of Energy (DOE), supports research on key cloud, aerosol, precipitation, and radiative transfer processes that has the potential to improve the accuracy of regional and global climate models. The ASR program hereby announces its interest in research grant applications for observational, data analysis, and/or modeling studies that use data from CESD, including the Atmospheric Radiation Measurement (ARM) Climate Research Facility and the ASR program, to improve understanding and model representation of convective cloud processes, boundary layer cloud processes, and secondary organic aerosol processes, and to pursue ASR-relevant research using observations from recent ARM field campaigns.

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative proposals in the area of global scale, multimodal geospatial data cloud platform and analytics development. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice. GCA is a 24-month, three-phase program. At present, DARPA seeks innovative proposals covering the tasks in Phase 1 (6 month base effort) and Phase 2 (12 month costed option) of the program. Proposals must address both Phase 1 and Phase 2. Phase 3 will be the subject of a separate procurement. For Phases 1 and 2, DARPA seeks proposals in two technical areas (TAs). TA-1 (Scalable Geospatial Data Platform) will provide access to geospatial data and an extensible computing platform on which TA-2 performers can efficiently access and process massive amounts of curated geospatial data. TA-2 (Analytical Applications and Competitions) will create software for use in one or more of the analytics competitions (predicting food shortages, locating fracking construction detection, illegal fishing detection, open call) using data and platforms provided by TA-1 proposers. In Phase 1, DARPA anticipates making up to three awards for TA-1 and up to 16 awards for TA-2. A proposer may respond to one or both technical areas but a separate proposal is required for each TA. A TA-2 proposer can propose to one or more competition areas, using costed options if proposing to more than one competition.

The mission of ASR is to quantify the interactions among aerosols, clouds, precipitation, and radiation to improve fundamental process-level understanding, with the ultimate goal to reduce the uncertainty in global and regional climate simulations and projections.

The mission of ASR is to quantify the interactions among aerosols, clouds, precipitation, and radiation to improve fundamental process-level understanding, with the ultimate goal to reduce the uncertainty in global and regional climate simulations and projections.

Physical and Dynamic Meteorology supports research involving studies of cloud physics; atmospheric electricity; radiation; boundary layer and turbulence; the initiation, growth, and propagation of gravity waves; all aspects of mesoscale meteorological phenomena, including their morphological, thermodynamic, and kinematic structure; development of mesoscale systems and precipitation processes; and transfer of energy between scales. The program also sponsors the development of new techniques and devices for atmospheric measurements.

The goal of the ASR program is to improve the scientific understanding and treatment of clouds, aerosols, and radiative transfer processes in atmospheric models, that in turn are combined with ocean, terrestrial, and ice sheet models to make projections of climate change. 

he objectives of this Agreement are to further development of change detection research using an existing methodology developed at Oregon State University by Robert Kennedy termed LandTrendr. The two networks both utilize this approach as part of their respective long-term monitoring programs and rely on its development as technology changes. In addition to LandTrendr, OSU has also developed a companion stand-alone program called TimeSync which is crucial during the validation of the LandTrendr-delineated disturbances. This tool also needs to be upgraded to be compatible with current Windows operating systems. This agreement would allow the I&M networks to work collaboratively with OSU to ensure I&M networks receive the specific tools they need to continue their respective long-term monitoring programs without interruption. Oregon State University will also facilitate easier use of LandTrendr for the public and other researchers because this service is being moved to cloud computing which will greatly increase compute speed, decrease the amount of data storage necessary at the network offices, and remove the need for high level computing within the office. STATEMENT OF WORK RECIPIENT AGREES TO: 1. Provide computer code on running LandTrendr through Google Earth Engine 2. Provide documented workflow on Google Earth Engine 3. Provide computer code to process output rasters of changes to polygons of change 4. Provide updated version of TimeSync compatible with Windows 10 5. Provide documented workflow on installing and running TimeSync