Filters: Tags: MAR 2012 (X)
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This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
Types: Downloadable;
Tags: BLM,
Bankhead-Jones,
Bureau of Land Management,
Bureau of Reclamation,
CBR,
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
The Vista tool is used to create a Scenario of the development CAs affecting the Madrean Encinal CE and applies user-input Landscape Condition Model (LCM) scores to generate an LCM for the project area. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the impact of the CA from the footprint out for the specified distance,...
For each pixel in the MTBS Burn Severity Mosaic rasters, selected the maximum burn severity value (excluding the values of 0 and 6) over a 15 year time period: 1997 through 2011 (MTBS Severity Mosaic classes: 0 = Background, 1 = Unburned to Low, 2 = Low Severity, 3 = Moderate Severity, 4 = High Severity, 5 = Increased Greenness, 6 = Non-processing area)
Existing Source Dataset without metadata. For information about this dataset, please see: http://wireless.fcc.gov/geographic/index.htm?job=licensing_database_extracts These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary.
Existing Source Dataset without metadata. For information about this dataset, please see: http://wireless.fcc.gov/geographic/index.htm?job=licensing_database_extracts These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary.
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
Trends measure the magnitude and statistical significance within the recent 32-year timeslice (1981-2012) using a combination of two tests. Theil-Sen slope was used to calculate magnitude of change within the recent timeframe; a Theil-Sen linear regression line is fit to the 32-year time series. The change in the value of this line across the 32-year period indicates magnitude of climate change. The Mann-Kendall test was used to calculate p-values to measure the statistical significance of the magnitude of the 32-year trend. Change was only deemed statistically significant in places where the Mann-Kendall p-value was less than 0.05.
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
The Rail Network is a comprehensive database of the nation's railway system at the 1:100,000scale or better. The data set covers all 50 States plus the District of Columbia. These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary.
Powerlines in the western United States. Data was obtained from the ICEBMP existing utility corridors data set. These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary.
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
This dataset is an indicator for water use by groundwater basins for the Arizona portion of MAR study area was created from the Arizona Department of Water Resources (ADWR) report “Water Resources Development Commission Final Report, Volume II”.
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
The climate change exposure index (CCEI) combines anomalies (z-scores) across all twelve months and all three climate variables (tmax, tmin, precip), presenting an overall measure of how much recent or future climate has strayed from baseline variablity. For each pixel, these 36 z-scores are squared, summed, and square-rooted, resulting in a single metric known as standard Euclidian distance (SED) -- this is an index of total climate change across the MAR between the baseline and either the last 32 years or the mid-century future. An increase or decrease in any of the variables contributes equally to the index. ClimateWNA 4km was used for the future CCEI and PRISM 800m was used for the recent CCEI.
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