Award Data

The massive volumes of multi-dimensional array-oriented data generated by NOAA programs and the scientific community at large are predominantly stored in industry standard Network Common Data Form (NetCDF). Key challenges exist in making use of data stored in netCDF: data sets are often too large to be copied and transferred across networks for every user, and each time data is accessed by an anal ...

AirMettle Inc. is transforming big data analytics for NOAA and the broader scientific community with a real-time smart data lake solution. Our innovative method utilizes massively parallel in-storage data processing within a versatile software defined storage framework, deployable on-premises or as a cloudbased service. Building upon our successful NOAA SBIR Phase I project, we strive to improve t ...

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Contamination by per- and polyfluoroalkyl substances (PFAS) has become an immense environmental issue in the US in recent years. PFAS are a group of man-made chemicals, the most common being perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), that are very persistent in the environment and cause adverse health effects in humans upon exposure. This year, 610 locations in 43 states, ...

Gasification provides a potential means of deriving clean energy from biomass waste materials. One of the greatest obstacles to the effective gasification of animal and farm waste is the slagging behavior of the residual ash at temperatures that yield the most efficient gasification performance. Many wastes particularly are problematic for dry ash gasification processes, especially w ...

Gasification provides a potential means of deriving clean energy from biomass waste materials. One of the greatest obstacles to the effective gasification of animal and farm waste is the slagging behavior of the residual ash at temperatures that yield the most efficient gasification performance. Many wastes are particularly problematic for dry ash gasification processes, especially waste from co ...

The proposed research will advance flood inundation mapping and enhance situational awareness in disaster response situations through a combination of machine learning techniques and Synthetic Aperture Radar (SAR) data. One of the most difficult challenges during the early stages of a flood event is acquiring timely, unobstructed Earth observation data that can provide lifesaving insight into the ...

The primary goal of this research is to advance flood extent delineation modeling by enhancing the ability of the modeling community to access and utilize the forecasts and reanalysis products of the National Water Model. One of the most difficult challenges facing stakeholders in the flood inundation domain is the lack of easily accessible tools to query and process the large and complex datasets ...

THE CONTRACTOR SHALL DEVELOP A FUZZY SET METHODOLOGY FOR UNCERTAINTY ANALYSIS IN PROBABILISTIC SEISMIC SAFETY ASSESSMENT OF NUCLEAR POWER PLANTS. FUZZY SET LOGIC WILL BEUSED FOR COLLECTING, QUANTIFYING AND PROPAGATING SUBJECTIVE,ENGINEERING JUDGEMENT USED IN THE UNCERTAINTY ANALYSIS. IN PHASE I, FEASIBILITY OF THE PROPOSED APPROACH WILL BE DEMONSTRATED BY APPLYING IT TO SELECTED PARTS OF A PROBABI ...

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