National Current Conditions
Drought area percentages were ingested using U.S. Drought Monitor web services.
GIS was used to identify which agricultural producing counties contained drought according to the U.S. Drought Monitor (D1 - D4). Acres were aggregated to identify the number of crop acres in drought.
Drought population percentages were ingested using U.S. Drought Monitor web services.
State-level U.S. Drought Monitor drought data were used to identify the number of states in (D1-D4) drought. Current weekly values are compared to the previous week and month to identify changes.
U.S. Drought Monitor (USDM) data from the National Drought Mitigation Center were available in a GIS format.
Current weekly U.S. Drought Monitor (USDM) data is compared with the previous week to identify changes.
The gridMET and NLDAS precipitation datasets from Climate Engine were available in raster format. Precipitation data updates daily but is delayed from the current day by 3 to 4 days.
Precipitation data from Climate Engine were available in raster format. Precipitation data updates daily but is delayed from the current day by 3 to 4 days.
Precipitation data from Climate Engine were available in raster format. Precipitation data updates daily but is delayed from the current day by 3 to 4 days.
The gridMET and PRISM temperature datasets from Climate Engine were available in raster format. Temperature data is updated daily but is delayed from the current day by 3 to 4 days.
Temperature data from Climate Engine were available in raster format. Temperature data is updated daily but is delayed from the current day by 3 to 4 days.
Temperature data from Climate Engine were available in raster format. Temperature data is updated daily but is delayed from the current day by 3 to 4 days.
Drought blends data from Climate Engine were available in raster format.
These experimental blends integrate several key drought monitoring products and indices into a single short-term or long-term product, based on the methodology developed at the NOAA Climate Prediction Center (CPC). The blends are created using the Climate Engine tool, and apply the CPC weighting ratios to the high-resolution gridMET gridded research dataset. The data is updated every 5 days, with a delay of 4 to 5 days to allow for data collection and quality control.
The short-term blend combines PDSI, Z-Index, 1-month SPI, and 3-month SPI to estimate the overall short-term drought. This product is an example of current NIDIS-funded research. Learn more.
Drought blends data from Climate Engine were available in raster format.
These experimental blends integrate several key drought monitoring products and indices into a single short-term or long-term product, based on the methodology developed at the NOAA Climate Prediction Center (CPC). The blends are created using the Climate Engine tool, and apply the CPC weighting ratios to the high-resolution gridMET gridded research dataset. The data is updated every 5 days, with a delay of 4 to 5 days to allow for data collection and quality control.
The long-term blend combines PDSI, Z-Index, and 6-month, 1-year, 2-year, and 5-year SPI to estimate the overall long-term drought. This product is an example of current NIDIS-funded research. Learn more.
Palmer data from Climate Engine were available in raster format. This new experimental implementation of the Palmer Drought Severity Index (PDSI) updates every 5 days, with a delay of 4 to 5 days, using the high-resolution gridMET gridded research dataset and USDA STATSGO soils data.
EDDI data from NOAA's Physical Sciences Laboratory (PSL) were available in ACSII format. The ASCII data was ingested and converted raster data using GIS. EDDI data is updated daily.
EDDI data from NOAA's Physical Sciences Laboratory (PSL) were available in ACSII format. The ASCII data was ingested and converted raster data using GIS. EDDI data is updated daily.