This tool allows users to access a series of maps that display climate information across the United States covering both recent and future time periods. The mapping interface not only provides climate variables, but also variables pertinent to agricultural systems, surface hydrology, and wildfire danger. The dynamic mapping interface provides a straightforward way for scientists and decision-makers to visualize climate information.
This tool visualizes contemporary and future cold hardiness zones, also known as the USDA Plant Hardiness Zone. Cold hardiness zones are used by gardeners and growers to determine which perennial crops and plants are most likely to tolerate winter temperatures. The cold hardiness map is based on the average coldest single overnight temperature of the winter. Users can also map the potential geographic range under current and future climate from a number of perennial crops based on their hardiness zones.
The timing of crop development, known as phenology, is primarily governed by heat accumulation. These tools all use accumulated growing degree days as a basis for modeling the current life-stage of crops, weeds, and pests for selected species in northwestern agricultural systems. In addition, weather and seasonal climate forecasts appended to observed growing degree days allow for this tool to help inform the timing of potential management decisions including harvest and pest management applications.
This tool summarizes several agriculturally relevant climate variables over a 30-year period for any location in the contiguous US. These agroclimatic summaries for the historical 1981-2010 baseline are provided side-by-side with projected changes derived from an ensemble of downscaled climate scenarios to provide a quick look of projected changes specific to the selected location.
This tool provides a graphical summary of future climate projections from 20 global climate models for a selected location.
The source for the data used here is the MACAv2-METDATA climate data from the University of Idaho. This dataset comes from the statistical downscaling (using the MACA approach) of 20 global climate model outputs from phase 5 of the Coupled Model Inter-Comparison Project (CMIP5) utilizing the historical weather dataset of gridMET/METDATA as training data. The data shown here is the high future emission scenario of RCP8.5.
Data from the selected location represents the average climate over a ~2.5-mile by 2.5-mile resolution grid cell. Climate projections shown here were bias corrected (i.e differences between statistics of the model data and that seen in observations were removed) to local scales to facilitate use and represent a future of high greenhouse gas emissions. The different models simulate climate differently leading to a spread of projections for each time period. Projections are summarized using a boxplot as shown below:
This tool visualizes projected monthly streamflows compared to historical streamflows at select locations along streams in the Western US. Users can choose to look at streamflows under different future greenhouse gas scenarios for a fixed future time period or at streamflows over different future time periods at a fixed future greenhouse gas scenario.
This tool tracks historical (1979-present) variability in climate for a selected location. Users can choose from a number of climate variables summarized at the monthly, seasonal, or annual timescales and create both plots and acquire the resultant data.
This tool provides a graphical summary of seasonal climate forecasts for the next seven months for a selected location.
The source for the data used here is the downscaled NMME data from the University of Idaho. This dataset comes from bias correcting (i.e removing differences between statistics of the model data and that seen in observations) the forecast outputs from 6 models participating in the North American Multi-Model Ensemble (NMME) project ;utilizing a quantile mapping method and the historical weather dataset of gridMET/METDATA as training data.
Data from the selected location represents the average climate over a ~2.5-mile by 2.5-mile resolution grid cell.
The mean forecast from six climate models are shown here, with the option to show the individual model projections as well.
Also shown are the average monthly values from 1981-2010.