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Direct Download (Raster Data Gateway)<\/span><\/span><\/a><\/p> Objective:<\/span><\/span> Characterize current moisture deficit and surplus relative to the long-term average.<\/span><\/span><\/p> Data:<\/span><\/span> <\/span><\/span>The indicator represents areas of moisture deficit as a z-score. A z-score is a statistical method for assessing how different a value (i.e., most recent 3 years) is from the mean (historical average). The source climate data is from PRISM. Mean moisture values were derived from historical data on precipitation and Thornthwaite potential evapotranspiration, from 1900 to <\/span><\/span>t<\/span><\/span>-minus 4 (<\/span><\/span>t<\/span><\/span> = current TCA Assessment year). The greater the negative z-value, the larger the departure from average conditions, indicating larger moisture deficits.<\/span><\/span><\/p> These data highlight regions of moisture deficit as a z-score calculated from the reference time period and current conditions. There is a lag between the assessment year and the most recent drought data, for example, the 2024 TCA Assessment used 2021-2023 to represent current conditions and 1900-2020 for the reference time period. Data were summarized at the Subsection scale of the USFS National Hierarchy of Ecological Units and applied to the corresponding landscape (LTA).<\/span><\/span><\/p> Data Format:<\/span><\/span> Raster data are continuous<\/span><\/span><\/p> Units: <\/span><\/span>Mean difference in z-score<\/span><\/span><\/p> Spatial Resolution:<\/span><\/span> 4000m (4km)<\/span><\/span><\/p> Source data:<\/span><\/span> <\/span><\/span>PRISM<\/span><\/span><\/a>; <\/span><\/span>z-score calculations provided by the USFS Office of Sustainability and Climate based on the methods found here: <\/span><\/span>https://www.fs.usda.gov/research/treesearch/43361<\/span><\/span><\/a><\/p> Additional Resources:<\/span><\/span><\/p> Details on <\/span><\/span>Method Changes and Source Data Versions<\/span><\/span><\/a><\/p> Overview of the Terrestrial Condition Assessment: <\/span><\/span>TCA Hubsite<\/span><\/span><\/a> or <\/span><\/span>Landfire Office Hour Presentation<\/span><\/span><\/a><\/p> Explore the results of the most recent assessment: <\/span><\/span>TCA Interactive Data Viewer<\/span><\/span><\/a><\/p> Learn more about the TCA KPI: <\/span><\/span>TCA Dashboard<\/span><\/span><\/a><\/p> *if you have trouble viewing the Dashboard, please submit a <\/span><\/span>Tableau Viewer Access Request<\/span><\/span><\/a><\/p><\/div><\/div><\/div>",
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"serviceProperties": " Direct Download (Raster Data Gateway)<\/SPAN><\/SPAN><\/A><\/P> Objective:<\/SPAN><\/SPAN> Characterize current moisture deficit and surplus relative to the long-term average.<\/SPAN><\/SPAN><\/P> Data:<\/SPAN><\/SPAN> <\/SPAN><\/SPAN>The indicator represents areas of moisture deficit as a z-score. A z-score is a statistical method for assessing how different a value (i.e., most recent 3 years) is from the mean (historical average). The source climate data is from PRISM. Mean moisture values were derived from historical data on precipitation and Thornthwaite potential evapotranspiration, from 1900 to <\/SPAN><\/SPAN>t<\/SPAN><\/SPAN>-minus 4 (<\/SPAN><\/SPAN>t<\/SPAN><\/SPAN> = current TCA Assessment year). The greater the negative z-value, the larger the departure from average conditions, indicating larger moisture deficits.<\/SPAN><\/SPAN><\/P> These data highlight regions of moisture deficit as a z-score calculated from the reference time period and current conditions. There is a lag between the assessment year and the most recent drought data, for example, the 2024 TCA Assessment used 2021-2023 to represent current conditions and 1900-2020 for the reference time period. Data were summarized at the Subsection scale of the USFS National Hierarchy of Ecological Units and applied to the corresponding landscape (LTA).<\/SPAN><\/SPAN><\/P> Data Format:<\/SPAN><\/SPAN> Raster data are continuous<\/SPAN><\/SPAN><\/P> Units: <\/SPAN><\/SPAN>Mean difference in z-score<\/SPAN><\/SPAN><\/P> Spatial Resolution:<\/SPAN><\/SPAN> 4000m (4km)<\/SPAN><\/SPAN><\/P> Source data:<\/SPAN><\/SPAN> <\/SPAN><\/SPAN>PRISM<\/SPAN><\/SPAN><\/A>; <\/SPAN><\/SPAN>z-score calculations provided by the USFS Office of Sustainability and Climate based on the methods found here: <\/SPAN><\/SPAN>https://www.fs.usda.gov/research/treesearch/43361<\/SPAN><\/SPAN><\/A><\/P> Additional Resources:<\/SPAN><\/SPAN><\/P> Details on <\/SPAN><\/SPAN>Method Changes and Source Data Versions<\/SPAN><\/SPAN><\/A><\/P> Overview of the Terrestrial Condition Assessment: <\/SPAN><\/SPAN>TCA Hubsite<\/SPAN><\/SPAN><\/A> or <\/SPAN><\/SPAN>Landfire Office Hour Presentation<\/SPAN><\/SPAN><\/A><\/P> Explore the results of the most recent assessment: <\/SPAN><\/SPAN>TCA Interactive Data Viewer<\/SPAN><\/SPAN><\/A><\/P> Learn more about the TCA KPI: Dashboard link when available<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>",
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