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The shapefile associated with this metadata file represents the spatial distribution of mean annual water-budget components, in inches, for Hawaii Island, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of predevelopment conditions (1916-83 rainfall and 1870 land cover), as described in USGS Scientific Investigations Report (SIR) 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea data set, consisting of 467,805 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets. Spatial datasets...
Abstract (from http://climatechangeresponses.biomedcentral.com/articles/10.1186/s40665-016-0015-2): Background Detailed assessments of species responses to climate change are uncommon, owing to the limited nature of most ecological and local climate data sets. Exceptions, such as the case of the Haleakalā silversword, can provide important insights into the complexity of biological responses to changing climate conditions. We present a time series of decadal population censuses, combined with a pair of early population projections, which together span the past 80 years of demographic history for this alpine plant. Results The time series suggests a strong population recovery from the 1930s through the 1980s, likely...
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This USGS Data Release section presents tipping-bucket rain gage data collected following the 2000 Cerro Grande Fire near Los Alamos, New Mexico. Further details are provided in https://onlinelibrary.wiley.com/doi/10.1002/hyp.6806.
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The shapefile associated with this metadata file represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of average climate conditions (1978–2007 rainfall) and 2010 land cover, as described in USGS Scientific Investigations Report (SIR) 2015-5010. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model subareas were generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets that characterize the spatial distribution of rainfall, fog...
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This data release contains daily gridded data reflecting surface water input from rainfall, rain on snow (mixed), and snowmelt for the conterminous United States for water years 1990 to 2023 (1990/10/01 to 2023/09/30). This release also contains annual estimates of gridded input seasonality (an index reflecting whether surface water input occurs within a concentrated period or is equally distributed throughout the year), precipitation seasonality, average snowmelt, rainfall and rain on snow rates, and finally, annual totals of each input type. Average snowmelt, rainfall and rain on snow rates were computed using days where values were greater than zero. Daily data were generated using precipitation input from the...
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One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. This simple analysis allowed us to map the potential risk of excess rainfall across the...
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One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. Here we provide two rasters of excess rainfall for current (2002-2012) and future (2090-2099)...
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The shapefile associated with this metadata file represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of drought conditions (1998–2002 rainfall) and 2010 land cover, as described in USGS Scientific Investigations Report (SIR) 2015-5010. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model subareas were generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets that characterize the spatial distribution of rainfall, fog interception,...
Hawaii’s high and steep topography leads to pronounced small-scale variations in climate, and this makes comprehensive modeling of the weather and climate particularly challenging. This paper describes a regional model formulation designed for simulations of the microclimates in Hawaii and then documents and analyzes an extended retrospective simulation for near-present-day conditions. Part II will apply the model to projected climate conditions near the end of the present century. A nested version of the Advanced Research version of the Weather Research and Forecasting Model with fine horizontal resolution and improved physics for the Hawaiian region has been configured. A 20-yr triply nested simulation of the...
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One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. Here we provide a raster stack that contain the probability of excess rainfall exceeding...
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Rain-gages are critical instrumentation for documenting the rainfall forcing of post-wildfire hydrologic, erosional, and water-quality response. This USGS Data Release presents tipping-bucket rain gage data following two wildfires: the 2000 Cerro Grande Fire near Los Alamos, New Mexico and the 2010 Fourmile Canyon Fire near Boulder, Colorado. The data presented in this USGS Data Release are used for analyses that demonstrate important concepts in precipitation characteristics that relate to temporal and spatial scales. Further information regarding the location and data processing are available in the metadata.
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This data release contains all of the available raw rainfall data from the Grizzly Creek Fire perimeter from September 2020 through September 2022. The csv files here are organized by the station name and followed by the year of the data. The locations of the stations are available in the file named (4_Gauge_Location.csv) in the parent data release. The rain gauge data were obtained using two different methods. The gauges named: ‘USGS_’ are non-telemetered gauges and each timestamp represents a bucket tip. The columns in each csv for these gauges includes an Index, Date Time, Name, Serial Number, and Tipping Bucket depth (in units of millmeters). Gauges GCCC2, GCDC2, GCEC2, GCFC2, GCIC2, GCNC2, GCTC2 were operated...
Categories: Data; Tags: Glenwood Canyon, Hydrology, Rainfall, biota
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/2014JD022059/abstract): Seasonal mean rainfall projections for Hawai‘i are given based on statistical downscaling of the latest Coupled Model Intercomparison Project phase 5 (CMIP5) global model results for two future representative concentration pathways (RCP4.5 and RCP8.5). The spatial information content of our statistical downscaling method is improved over previous efforts through the inclusion of spatially extensive, high-quality monthly rainfall data set and the use of improved large-scale climate predictor information. Predictor variables include moisture transport in the middle atmosphere (700 hPa), vertical temperature gradients, and geopotential...
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Macroclimatic drivers, such as temperature and rainfall regimes, greatly influence ecosystem structure and function in tidal saline wetlands. Understanding the ecological influence of macroclimatic drivers is important because it provides a foundation for anticipating the effects of climate change. Tidal saline wetlands include mangrove forests, salt marshes, and salt flats, which occupy similar geomorphic settings but different climatic regimes. However, most global- or regional-scale analyses have treated these wetlands as independent systems. Here we used climate and literature-derived ecological data from all three systems, collected across targeted regional-scale macroclimatic gradients, to test hypotheses...
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The shapefile associated with this metadata file represents the spatial distribution of mean annual water-budget components, in inches, for Hawaii Island, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of recent conditions (1916-83 rainfall and 2008 land cover), as described in USGS Scientific Investigations Report (SIR) 2011-5078 and summarized in USGS SIR 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea dataset, consisting of 467,805 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial...
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Macroclimatic drivers, such as temperature and rainfall regimes, greatly influence ecosystem structure and function in tidal saline wetlands. Understanding the ecological influence of macroclimatic drivers is important because it provides a foundation for anticipating the effects of climate change. Tidal saline wetlands include mangrove forests, salt marshes, and salt flats, which occupy similar geomorphic settings but different climatic regimes. However, most global- or regional-scale analyses have treated these wetlands as independent systems. Here we used climate and literature-derived ecological data from all three systems, collected across targeted regional-scale macroclimatic gradients, to test hypotheses...


    map background search result map search result map Cell data Point data Field data used to support numerical simulations of variably-saturated flow focused on variability in soil-water retention properties for the U.S. Geological Survey Bay Area Landslide Type (BALT) Site #1 in the East Bay region of California, USA Mean annual water-budget components for the Island of Oahu, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0) Mean annual water-budget components for the Island of Oahu, Hawaii, for drought conditions, 1998-2002 rainfall and 2010 land cover (version 2.0) Mean annual water-budget components for Hawaii Island, Hawaii, for predevelopment conditions, 1916-83 rainfall and 1870 land cover Mean annual water-budget components for Hawaii Island, Hawaii, for recent conditions, 1916-83 rainfall and 2008 land cover Precipitation Data Grizzly Creek Burn Perimeter Hawaiian Islands excess rainfall conditions under current (2002-2012) and future (2090-2099) climate scenarios Hawaiian Islands probability of excess rainfall conditions under current (2002-2012) and future (2090-2099) scenarios Hawaiian Islands probability of excess rainfall conditions by land cover type under current (2002-2012) and future (2090-2099) scenarios Daily time series of surface water input from rainfall, rain on snow, and snowmelt for the Conterminous United States from 1990 to 2023, as well as annual series of input seasonality, precipitation seasonality, and average rainfall, rain on snow, and snowmelt rates Post-wildfire rain gage data for Fourmile Canyon, Colorado and Rendija Canyon, New Mexico Post-wildfire rain gage data for Rendija Canyon, New Mexico Field data used to support numerical simulations of variably-saturated flow focused on variability in soil-water retention properties for the U.S. Geological Survey Bay Area Landslide Type (BALT) Site #1 in the East Bay region of California, USA Precipitation Data Grizzly Creek Burn Perimeter Mean annual water-budget components for the Island of Oahu, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0) Mean annual water-budget components for the Island of Oahu, Hawaii, for drought conditions, 1998-2002 rainfall and 2010 land cover (version 2.0) Mean annual water-budget components for Hawaii Island, Hawaii, for predevelopment conditions, 1916-83 rainfall and 1870 land cover Mean annual water-budget components for Hawaii Island, Hawaii, for recent conditions, 1916-83 rainfall and 2008 land cover Post-wildfire rain gage data for Fourmile Canyon, Colorado and Rendija Canyon, New Mexico Hawaiian Islands excess rainfall conditions under current (2002-2012) and future (2090-2099) climate scenarios Hawaiian Islands probability of excess rainfall conditions under current (2002-2012) and future (2090-2099) scenarios Hawaiian Islands probability of excess rainfall conditions by land cover type under current (2002-2012) and future (2090-2099) scenarios Daily time series of surface water input from rainfall, rain on snow, and snowmelt for the Conterminous United States from 1990 to 2023, as well as annual series of input seasonality, precipitation seasonality, and average rainfall, rain on snow, and snowmelt rates Point data Cell data