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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the periods 2020-59 (centered in the year 2040) and 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2023. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds and were estimated using the WRTDS method with Kalman filtering. To determine the trend in loads, the annual load results are...
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The Climate Adaptation Science Centers (CASCs) partner with natural and cultural resource managers, tribes and indigenous communities, and university researchers to provide science that helps fish, wildlife, ecosystems, and the communities they support adapt to climate change. The CASCs provide managers and stakeholders with information and decision-making tools to respond to the effects of climate change. While each CASC works to address specific research priorities within their respective region, CASCs also collaborate across boundaries to address issues within shared ecosystems, watersheds, and landscapes. These shapefiles represent the 9 CASC regions and the national CASC that comprise the CASC network, highlighting...
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The data presented in this data release represent observations of postfire debris flows that have been collected from publicly available datasets. Data originate from 13 different countries: the United States, Australia, China, Italy, Greece, Portugal, Spain, the United Kingdom, Austria, Switzerland, Canada, South Korea, and Japan. The data are located in the file called “PFDF_database_sortedbyReference.txt” and a description of each column header can be found in both the file “column_headers.txt” and the metadata file (“Post-fire Debris-Flow Database (Literature Derived).xml”). The observations are derived from areas that have been burned by wildfire and are global in nature. However, this dataset is synthesized...
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The shapefiles in this dataset represent the spatial distribution of mean annual water-budget components, in inches, for Kauaʻi, Oʻahu, Molokaʻi, Lānaʻi, Maui, and the Island of Hawaiʻi, for a set of recent and future climate conditions, and 2020 land cover. The four main climate scenarios used in the water-budget analyses include a reference climate scenario representative of recent conditions during 1978–2007, hereinafter the 1978–2007 scenario, and three downscaled future-climate projections that span a range of future-climate conditions for each island. The three future-climate projections include (1) a mid-century scenario using projected rainfall conditions representative of phase 5 of the Coupled Model Intercomparison...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2023. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). Yields (representing the mass of constituent transported from a unit area of a given watershed) are used to compare the export loads from one basin to another. Yield results are obtained by dividing the annual load (pounds) of a given constituent by the respective...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2023. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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This data provides county level occurrence information for all individuals used in modelling potential exposure and spread of highly pathogenic avian influenza (HPAIv) from the 2021-2022 North American outbreak. The data set contains individual identifiers and taxa information, an indicator of exposure, exposure status (Susceptible, Exposed by HPAIv detection in the county, or Exposed by secondary contact with an exposed bird), and date of first occurrence of each individual bird and that bird's exposure status within each visited county. Herein, county refers to any county, parish, borough, census area, or geographic region identified in the associated geospatial data US_CAN_AI.shp (ESRI shapefile format). Occurrence...
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Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the base flow contribution to a stream or river (Rimmer and Hartman, 2014; Raffensperger et al., 2017). A recursive digital filter distinguishes between high-frequency and low-frequency discharge data within a hydrograph, where high-frequency data corresponds to quick flow or storms and low-frequency data corresponds to base flow. The two parameters within the RDF are alpha and beta, both are unitless. Alpha is defined as the recession constant and typically found through recession analysis. For the purposes of this data release...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the periods 2020-59 (centered in the year 2040) and 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2023. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2020-59 (centered in 2040) or to the period 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical period. Geospatial data provided in...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2023. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2023. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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Salt marshes of the Northeastern United States (Maine to Virginia) are vulnerable to loss given their history of intensive human alteration. One direct human modification – ditching – was common across the Northeast for salt hay farming since European Colonization and for mosquito control in the first half of the 20th century. We hand-digitized linear ditches across Northeastern intertidal emergent wetlands from contemporary aerial imagery within the bounds of the National Wetland Inventory's Estuarine Intertidal Emergent Wetland areas.
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Canyonlands National Park, Utah. Syncline in the core of Lockhart Basin, near Needles Overlook. The dish-shaped roof is Wingate Sandstone, partly bleached. Sloping sides are Chinle Formation. The dark sloping ledge in the left middle ground is Moss Back Member of the Chinle resting on Moenkopi Formation. Photo by E.N. Hinrichs. Figure 28, U.S. Geological Survey Bulletin 1327.
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Album caption and index card: Varieties of ripple marks and shrinkage cracks in Wescogame Formation, Grand Canyon. A, Parallel-straight ripple marks on inclined (20°) bedding plane of foresets, Thunder River Trail. Scale in inches. Grand Canyon National Park. Coconino County, Arizona. n.d. Published as Figure N3-A in U.S. Geological Survey Professional Paper 1173. 1982.
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Album caption and index card: Park visitors at Duck-on-the-Rock identify formations by referring to this roadside interpretative plaque on the South Rim. Grand Canyon National Park. Coconino County, Arizona. ca. 1960? (Photo by National Park Service).
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Death Valley National Park, California. Travertine mound (white) at Nevares Spring, issuing along a fault at the foot of the Funeral Mountains. Cambrian Bonanza King Formation in the background. Circa 1960.
map background search result map search result map Travertine mound (white) at Nevares Spring, issuing along a fault at the foot of the Funeral Mountains. Death Valley National Park, California. Circa 1960. Syncline in the core of Lockhart Basin, near Needles Overlook. Canyonlands National Park, Utah. No date. Varieties of ripple marks and shrinkage cracks in the Wescogame Formation on Thunder River Trail. Grand Canyon National Park, Coconino County, Arizona. No date. View is down Furnace Creek Wash toward Zabriskie Point, showing red and white beds of the Furnace Creek Formation. Death Valley National Park, California. 1940. Maps of the USGS Climate Adaptation Science Centers (May 2024) Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version Park visitors at Duck-on-the-Rock identify formations by referring to this roadside interpretative plaque on the South Rim. Grand Canyon National Park, Coconino County, Arizona. Circa 1960. Mean annual water-budget components for Kauaʻi, Oʻahu, Molokaʻi, Lānaʻi, Maui, and the Island of Hawaiʻi for a set of recent and future climate conditions, and 2020 land cover Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp) Shapefile of NOAA Atlas 14 stations in Florida (Atlas14_stations.shp) Shapefile of climate regions for the state of Florida (Climate_regions.shp) Timing of Occurrence of Waterfowl in U.S. Counties and Canadian Counties, Boroughs, Census Districts, and Other Populated Area Designations with Modeled Exposure Status to Highly Pathogenic Avian Influenza Virus in 2021-2022 Postfire Debris-Flow Database (Literature Derived) Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2023 Chesapeake Bay River Input Monitoring Network 1985-2023: Annual loads Chesapeake Bay River Input Monitoring Network 1985-2023: Monthly loads Chesapeake Bay River Input Monitoring Network 1985-2023: Average annual yields Chesapeake Bay River Input Monitoring Network 1985-2023: WRTDS input data Chesapeake Bay River Input Monitoring Network 1985-2023: WRTDS output data Linear Ditches of Northeastern U.S. Coastal Marshes from Maine to Virginia Derived from 2023 2D Aerial Imagery Basemap Syncline in the core of Lockhart Basin, near Needles Overlook. Canyonlands National Park, Utah. No date. Travertine mound (white) at Nevares Spring, issuing along a fault at the foot of the Funeral Mountains. Death Valley National Park, California. Circa 1960. View is down Furnace Creek Wash toward Zabriskie Point, showing red and white beds of the Furnace Creek Formation. Death Valley National Park, California. 1940. Varieties of ripple marks and shrinkage cracks in the Wescogame Formation on Thunder River Trail. Grand Canyon National Park, Coconino County, Arizona. No date. Park visitors at Duck-on-the-Rock identify formations by referring to this roadside interpretative plaque on the South Rim. Grand Canyon National Park, Coconino County, Arizona. Circa 1960. Mean annual water-budget components for Kauaʻi, Oʻahu, Molokaʻi, Lānaʻi, Maui, and the Island of Hawaiʻi for a set of recent and future climate conditions, and 2020 land cover Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2023 Chesapeake Bay River Input Monitoring Network 1985-2023: Annual loads Chesapeake Bay River Input Monitoring Network 1985-2023: Monthly loads Chesapeake Bay River Input Monitoring Network 1985-2023: Average annual yields Chesapeake Bay River Input Monitoring Network 1985-2023: WRTDS input data Chesapeake Bay River Input Monitoring Network 1985-2023: WRTDS output data Shapefile of NOAA Atlas 14 stations in Florida (Atlas14_stations.shp) Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp) Shapefile of climate regions for the state of Florida (Climate_regions.shp) Linear Ditches of Northeastern U.S. Coastal Marshes from Maine to Virginia Derived from 2023 2D Aerial Imagery Basemap Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version Timing of Occurrence of Waterfowl in U.S. Counties and Canadian Counties, Boroughs, Census Districts, and Other Populated Area Designations with Modeled Exposure Status to Highly Pathogenic Avian Influenza Virus in 2021-2022 Postfire Debris-Flow Database (Literature Derived) Maps of the USGS Climate Adaptation Science Centers (May 2024)