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This representativity index is based on how many stations exist within a grid of 50 km by 50 km. This number is adjusted by landscape variability, and variability is defined by the number of unique elevation values within a 50 by 50 km window. A 50 km by 50 km window with only one elevation value (very flat), can be well represented by one station; however a complex landscape like the sierra might need more stations to be better represented. In this raster layer, the higher values represent more uncertainty; lower values represent less uncertainty.
Watches, Warnings and Advisories A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action. A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens and they should listen for later information and possible warnings especially...
Historical cooperative station index. Cooperative stations are U.S. stations operated by local observers which generally report max/min temperatures and precipitation. National Weather Service (NWS) data are also included in this dataset. The data receive extensive automated + manual quality control. The index includes a county location cross-reference. Over 8000 stations are currently active across the country.
For each pixel, the geodesic distance and the vertical distance to the closest weather station for precip and for temp were calculated. These three dimensions were combined into a single one for precip and one for temp based on the Euclidean distance. The less distance there is these 3 dimensions (x,y,z), the less uncertainty there is. Higher values mean more uncertainty.
Mosaic of National Weather Services RADAR for CONUS 1x1 Km resolution
This dataset is based on the time series data for the NCDC and the FAOCLIM2 combined datasets stations measuring at least 30 years or more. For each month the coefficient of variation for precipitation was calculated. For each month the standard deviation for temperature was calculated. These values were interpolated using spline for each month, a total of 24 layers. The 12 coefficient of variation interpolated layers derived from precip, were combined using the standard Euclidean distance. The 12 standard deviation interpolated layers derived from temp, were combined using the standard euclidean distance. Higher values indicate more variability (higher uncertainty).
This dataset is based on the time series data for the NCDC and the FAOCLIM2 combined datasets stations measuring at least 30 years or more. For each month the coefficient of variation for precipitation was calculated. For each month the standard deviation for temperature was calculated. These values were interpolated using spline for each month, a total of 24 layers. The 12 coefficient of variation interpolated layers derived from precip, were combined using the standard Euclidean distance. The 12 standard deviation interpolated layers derived from temp, were combined using the standard euclidean distance. Higher values indicate more variability (higher uncertainty).
FY2015Researchers conducted interviews with sagebrush land managers from Oregon, Idaho and Utah to identify the most relevant variables, threats and management strategies relevant to their specific sagebrush management areas. Managers were also asked to assess a series of web-based climate tools, providing feedback about what features of the tools were most intuitive, interesting and useful, or complicated, unnecessary, and in need of revision. Results from the first phase of the project suggested several directions to improve existing climate tools.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Capacity,
Datasets/Database,
Decision Support,
Federal resource managers,
Great Basin,
For each pixel, the geodesic distance and the vertical distance to the closest weather station for precip and for temp were calculated. These three dimensions were combined into a single one for precip and one for temp based on the Euclidean distance. The less distance there is these 3 dimensions (x,y,z), the less uncertainty there is. Higher values mean more uncertainty.
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