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Found 417 dataset(s) matching "Extreme Weather".
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This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers...
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The dataset includes tables of the 58 indicator datasets (dataset descriptions, data formats, links to publicly available data sources for producing GIS data layers). This dataset is associated...
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M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2...
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M2SMNXPCT (or statM_2d_pct_Nx) is a 2-dimensional monthly data collection for percentile statistics derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2...
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M2SMNXEDI (or statM_2d_edi_Nx) is a 2-dimensional monthly data collection for extreme detection indices derived from daily Modern-Era Retrospective analysis for Research and Applications version 2...
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M2SMNXPCT (or statM_2d_pct_Nx) is a 2-dimensional monthly data collection for percentile statistics derived from monthly Modern-Era Retrospective analysis for Research and Applications version 2...
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<div style='text-align:Left;'><div><div><p><span>The geospatial products described and distributed here depict the probability of high-severity fire, if a fire were to occur, for several...
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<p>Established in 1912, the Northern Great Plains Research Laboratory (NGPRL) is a USDA Agricultural Research Service facility located in Mandan, Morton County, North Dakota. In 1916, NGPRL...
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Climate change is altering the frequency and intensity of extreme weather events. Quantifying ecosystem responses to extreme events at the landscape scale is critical for understanding and...
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The Temperature Severity Indicator data distills observational information of prolonged temperature events in the contiguous United States to inform housing and community development policy,...
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The overarching goal of this research was to use site-specific data to develop local and regionally-applicable climate change models that inform management of tidal wetlands along the Pacific...
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The overarching goal of this research was to use site-specific data to develop local and regionally-applicable climate change models that inform management of tidal wetlands along the Pacific...
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Statistical downscaling methodology was applied to global atmosphere reanalysis, using a 10 year dynamical modeled output as training data, to extend a record of wind and humidity back through the...
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The U.S. Geological Survey (USGS) National Geospatial Program (NGP) developed the Alaska Mapping Initiative (AMI) to collaborate with the State and other Federal partners to acquire 3-dimensional...
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Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying...
