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The southeastern United States was modeled to produce 59 simulations of historical and potential future streamflow using the Precipitation Runoff Modeling System (PRMS) as part of the study documented in LaFontaine and others (2019). One simulation used historical observations of climate, 13 used historical climate simulations using statistically downscaled general circulation model (GCM) output from the Coupled Model Intercomparison Project (CMIP5), and 45 used potential future climate simulations using statistically downscaled CMIP5 GCMs for four representative concentration pathways. Historical simulations with observations are for the period 1952-2010, historical simulations with the GCMs are for the period...
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These are model input and comparative data derived from pre-fire aerial LiDAR acquired in May 2012 for a small basin in the Valles Caldera, Northern New Mexico to represent canopy characteristics pre-fire. These characteristics include, (1) canopy closure, (2) edginess to the north, (3) edginess to the south, (4) leaf area index, (5) maximum tree height, (6) mean distance to canopy, (7) mean tree height, and (8) total gap area. These input data are intended to accompany a published report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]). Each characteristic is provided in an individual ascii file. All data...
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Raster Results of Near-Term Landscape Intactness Model (LIM) at 100 meter resolution. One important model developed for the Landscape Assessment to assist in the evaluation of Conservation Element status and trends is the Landscape Intactness Model (LIM). This model builds on a growing body of existing composite scoring methods that aim to characterize the relative ecological condition of landscapes. This model uses indicators of human modification to provide a measurable way to characterize intactness. Indicators and their scores were selected for the Landscape Intactness Model based upon knowledge of their amount and distribution in the study area and understood level of impact to natural systems. The Landscape...
This simulated ecosystem carbon dataset is used to report terrestrial carbon balance of the Nisqually River basin in the Ecological Modelling paper "Modeling watershed carbon dynamics as affected by land cover change and soil erosion" The data is derived from simulations of the LUCAS model. Annual carbon variables of 2017 at 30m spatial resolution with 2426 rows and 2459 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in tif format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to generate annual carbon parameters of typical ecosystems. 2. The USPED model was used to generate annual soil erosion and deposition maps as affected by...
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The beaches of the Hawaiian Islands attract nearly 9 million visitors each year, who inject around $15.6 billion into the state’s economy and support almost 200,000 jobs. Beyond their economic importance, Hawaiian beaches are also culturally and ecologically valuable. However, climate change driven sea-level rise is causing many beaches to disappear, endangering property, infrastructure, and critical habitats. The goal of this project was to develop a method for forecasting erosion-vulnerable beach areas that could be used in coastal management planning. Researchers focused on the island of Kauaʻi, modeling beach response to rising sea level over the next century and producing maps that provide information about...
This community serves to document data and analysis collected by researchers within the Upper Midwest Water Science Center whose mission is to collect high-quality hydrologic data and conduct unbiased, scientifically sound studies of water resources within the Great Lakes and Upper Mississippi Basins. We strive to meet the changing needs of those who use our information—from the distribution, availability, and quality of our water resources to topic-oriented research that addresses current hydrological issues.
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The USGS Forecasting Scenarios of Land-use Change (FORE-SCE) model was used to produce an agricultural biofuel scenarios for the Northern Glaciated Plains, from 2012 to 2030. The modeling used parcel data from the USDA's Common Land Unit (CLU) data set to represent real, contiguous ownership and land management units. A Monte Carlo approach was used to create 50 unique replicates of potential landscape conditions in the future, based on a agricultural scenario from the U.S. Department of Energy's Billion Ton Update. The data are spatially explicit, covering the entire Northern Glaciated Plains ecoregions (an EPA Level III ecoregion), with a spatial resolution of 30-meters and 22 unique land-cover classes (including...
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The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
With increasing levels of wind generation capacity on electricity systems, system operators will need to adapt their system operation policy to facilitate the efficient and cost effective integration of wind power. This paper illustrate the relative merits of adopting different system operational approaches on a system with significant wind power capacity. The impact on conventional generation, reserve levels and emissions are assessed and the implications are discussed. The illustrations show that an operational approach, which incorporates wind forecast information, while considering an increased need for reserve due to wind power, results in a more efficient integration of the wind capacity.
Categories: Publication; Types: Citation; Tags: coal, dynamics, investment, model, system
With increasing levels of wind generation capacity on electricity systems, system operators will need to adapt their system operation policy to facilitate the efficient and cost effective integration of wind power. This paper illustrate the relative merits of adopting different system operational approaches on a system with significant wind power capacity. The impact on conventional generation, reserve levels and emissions are assessed and the implications are discussed. The illustrations show that an operational approach, which incorporates wind forecast information, while considering an increased need for reserve due to wind power, results in a more efficient integration of the wind capacity.
Categories: Publication; Types: Citation; Tags: coal, dynamics, investment, model, system
With increasing levels of wind generation capacity on electricity systems, system operators will need to adapt their system operation policy to facilitate the efficient and cost effective integration of wind power. This paper illustrate the relative merits of adopting different system operational approaches on a system with significant wind power capacity. The impact on conventional generation, reserve levels and emissions are assessed and the implications are discussed. The illustrations show that an operational approach, which incorporates wind forecast information, while considering an increased need for reserve due to wind power, results in a more efficient integration of the wind capacity.
Categories: Publication; Types: Citation; Tags: coal, dynamics, investment, model, system
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NARCCAP: http://www.narccap.ucar.edu/ The North American Regional Climate Change Assessment Program (NARCCAP) is an international program that will serve the climate scenario needs of the United States, Canada, and northern Mexico. NARCCAP is systematically investigating the uncertainties in future climate projections on the regional level. NARCCAP closely matches the regional climate models (RCMs) with multiple atmosphere-ocean general circulation models (AOGCMs) along with the A2 scenario from the Special Report on Emission Scenarios (SRES) over an area covering most of North America. NARCCAP also validates the regional climate model performance by driving the RCMs with reanalyses, which is similar to driving...
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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This map represents the mean annual value of water contributed to the stream network, simulated by the model MC1 for the 30-year period 1971-2000. The data is from output variable STREAMFLOW in MC1 version B60. The data is in units comparable to rainfall, millimeters of water per year; values range from 34 to 894 mm yr-1. The vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites in eastern Oregon (Deschutes and Fremont-Winema National Forests) and in Arizona (Apache Sitgreaves National Forest area) in the context of a project funded by the USDA Forest Service (PNW 09-JV-11261900-003)....
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This dataset represents the historical mean number of fires per year burned per ~ 4 km pixel, averaged for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Historical mean number of fires per year per ~4 km pixel was averaged across each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al.2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, a nd wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003)....
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This data release contains inputs for and outputs from hydrologic simulations of the Apalachicola-Chattahoochee-Flint River Basin (ACFB) in the southeastern U.S. using the Precipitation Runoff Modeling System (PRMS). Seven hydrologic models, one coarse-resolution model for the entire ACFB and six fine-resolution models of tributary sub-basins. These simulations were developed to provide estimates of water availability and statistics of streamflow. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (LaFontaine and others, 2017); they include three types of data: 1) PRMS input parameter and data files, 2) PRMS output data files, and 3) GIS files...
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Ken Ferschweiler (CBI) used climate data from the PRISM group (Chris Daly, Oregon State University) at 4kmx4km spatial grain across the conterminous USA to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling and created anomalies from the Hadley CM3 General Circulation Model (GCM) run through the A2 emission scenario (SRES - special report on emission scenarios published in 2000). To run the MAPSS model (Neilson 1995), average monthly temperatures were calculated for the period 2045-2060. This dataset shows the standard deviation of the annual mean temperature for that period.
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Percent perennial plant cover. The total perennial plant cover data were modeled using Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) collected by the MODIS satellite and composited over 16-day intervals (Wallace and others, 2008), combined with field measurements of total perennial cover, estimated from line intercept transects at locations across the Mojave Desert (Webb and others, 2003, 2009; Thomas and others, unpublished data; Wallace and others, 2008). Total perennial cover was related to elevation and 2001 through 2004 MODIS-EVI data at the transect locations (R2 = 0.82), and the resulting model was used to extrapolate cover estimates for the remaining study area. The...
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The LANDFIRE Program developed a rich suite of consistent spatial data sets for the entire United States. These spatial data sets were designed for very large landscape, regional and national applications. Two of these spatial layers are particularly unique and interesting, Departure and Uncharacteristic Vegetation. Departure is a metric that indicates how different the current composition and structure of vegetation is from estimated historical conditions. This metric is identical to Fire Regime Condition Class (FRCC) in LANDFIRE (V1.0), and is generally called FRCC in the fire literature (link to FRCC in LANDFIRE). A departure value is computed for each unique historical vegetation type (called Biophysical...
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Pima County makes extensive use of Geographical Information System (GIS) technology for making maps. For the Sonoran Desert Conservation Plan, this was an important technology for assembling the extensive existing data, both digital and non-digital, identifying critical gaps in the data and potential remedies, and providing a means for analyzing the information on biological and physical resources over the six million acre study area. SDCP Mapguide was created to display many of the natural resource GIS data layers, but Mapguide is being replaced with PimaMaps. You can use either to make your own overlays on aerial photos, line maps, or USGS topography. Customize your online map while panning and zooming on the...


map background search result map search result map Forecasting Beach Loss from Sea-Level Rise on the Island of Kauaʻi Simulated historical mean number of fires per year (1971-2000 average per ~4 km pixel) for AZ and NM, USA Seasonal Average Minimum Daily Temperature (1971-1999) from CCSM-driven WRFG Standard Deviation of Annual Temperature (2045-2060) from HadCM3 GCM under A2 scenario (Western USA) Average Amount of Water Contributed to the Stream Network (1971-2000) for the Apache-Sitgreaves study area, Arizona, USA Percent perennial plant cover used in modeling habitat of the desert tortoise (Gopherus agassizii) in the Mojave and parts of the Sonoran Deserts of California, Nevada, Utah, and Arizona, USA Modeled fir engraver beetle basal area loss - 2006 LANDFIRE Data Viewer Sonoran Desert Conservation Plan MapGuide Map Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System Modeled 2030 land cover for the Northern Glaciated Plains ecoregion Precipitation Runoff Modeling System Input Data for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions Upper Midwest Water Science Center Conterminous United States Land Cover Projections - 1992 to 2100 BLM REA SLV 2013 LIM N 100m Pre-Fire Input Data Pre-Fire Input Data Forecasting Beach Loss from Sea-Level Rise on the Island of Kauaʻi Average Amount of Water Contributed to the Stream Network (1971-2000) for the Apache-Sitgreaves study area, Arizona, USA Sonoran Desert Conservation Plan MapGuide Map BLM REA SLV 2013 LIM N 100m Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System Percent perennial plant cover used in modeling habitat of the desert tortoise (Gopherus agassizii) in the Mojave and parts of the Sonoran Deserts of California, Nevada, Utah, and Arizona, USA Modeled 2030 land cover for the Northern Glaciated Plains ecoregion Upper Midwest Water Science Center Simulated historical mean number of fires per year (1971-2000 average per ~4 km pixel) for AZ and NM, USA Precipitation Runoff Modeling System Input Data for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions Standard Deviation of Annual Temperature (2045-2060) from HadCM3 GCM under A2 scenario (Western USA) Conterminous United States Land Cover Projections - 1992 to 2100 Modeled fir engraver beetle basal area loss - 2006 Seasonal Average Minimum Daily Temperature (1971-1999) from CCSM-driven WRFG LANDFIRE Data Viewer