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  • The Forecast-Informed Reservoir Operations (FIRO) Screening Process: Stage A Development and National Results

    Abstract: Forecast-Informed Reservoir Operations (FIRO) pilots demonstrate the potential to use modern forecasting methods to manage water more effectively. Growing demand for water, coupled with rising incidence of both drought and flood conditions, creates urgency for adapting reservoir operations. The FIRO Screening Process is a US Army Corps of Engineers (USACE) effort to gauge readiness for and provide a point of entry to the FIRO approach. Screening identifies USACE reservoirs that might be candidates for FIRO implementation. This report offers an overview of Stage A of the FIRO Screening Process, which eliminates sites with prohibitive barriers to FIRO (e.g., no controlled outlet, no water control plan, poor forecast skill). Stages B and C entail more in-depth assessments of potential benefits and challenges of implementing FIRO at a site. This report provides an overview of the screening approach, the development of Stage A, and results from screening the national portfolio of USACE reservoirs. Stage A eliminated 184 reservoirs (31 percent) of the national portfolio from further consideration for FIRO. The 409 sites (69 percent) of the national portfolio that passed Stage A are eligible for further screening of FIRO suitability in Stage B.
  • Arctic and Subarctic Zonal Characterization and Operational Thresholding (AZCOT)

    Abstract: The US military develops and updates environmental parameters specified for the sustainment of operations throughout the world. These requirements are generally based on environmental data providing a baseline of temperature, wind, and precipitation expectations for each location. Observational data for Arctic regions is limited because of the remote and sparsely occupied geographical conditions. To address the need for updating these requirements, a 30-year analysis of meteorological conditions was conducted using a European Centre for Medium-Range Weather Forecasts (ECMWF) global reanalysis dataset over the Arctic and Subarctic region, defined by latitude 60°–90° North for this project. Raw hourly datasets were acquired, and the minimum temperatures, maximum wind speeds, maximum snow depths, and averages were determined over the period 1991–2020 between the months of October and March for each parameter. These were then visualized with geospatial analysis, producing a variety of maps designed to assist with the classification of parameters in Arctic zones of operation across a range of temporal resolutions. Finally, a review of operational limits for military equipment was conducted to match northern zones of operation with suitable capabilities dependent on environmental conditions.
  • Development and Management of Arctic Zonal Characterization Products: Geospatial Database

    Abstract: Environmental parameters for operational planning in extreme conditions require accurate knowledge of prevailing meteorological conditions. However, the Arctic region presents unique challenges due to limited observational data and unique geographical conditions. To address the need for such knowledge, this study presents an analysis of Arctic prevailing-conditions using European Center for Medium-Range Weather Forecasting (ECMWF) Reanalysis v5 (ERA5) Data from 1991 to 2020. A custom Python-based framework was developed to process and analyze hourly datasets, identifying zones of extreme events and their frequency across multiple temporal scales. The framework uses ArcPy to automate the generation of nearly 40,000 mapped classifications for land masses 60°N and above. This automated pipeline enables both static and dynamic map generation capabilities for operational planning now and in the future. The resulting dataset provides critical spatial and temporal resolution of Arctic prevailing-conditions, enabling more refined characterization of extreme prevailing-conditions across the circumpolar region.