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Update Frequency:
Daily
Summary:
Land Information System (LIS) 0-40 cm layer Soil Moisture Percentile generated by the NASA SPoRT Center over a Contiguous United States domain.
The NASA Land Information System (LIS) is a high-performance land surface modeling and data assimilation system used to characterize land surface states and fluxes by integrating satellite-derived datasets, ground-based observations, and model re-analyses. The NASA SPoRT Center at MSFC developed a real-time configuration of the LIS (“SPoRT-LIS”), which is designed for use in experimental operations by domestic and international users. SPoRT-LIS is an observations-driven, historical and real-time modeling setup that runs the Noah land surface model over a full CONUS domain. It provides soil moisture estimates at approximately 3-km horizontal grid spacing over a 2-meter-deep soil column and has been validated for regional applications and against U.S. Drought Monitor products.
SPoRT-LIS consists of a 33-year soil moisture climatology spanning from 1981 to 2013, which is extended to the present time and forced by atmospheric analyses from the operational North American Land Data Assimilation System-Phase 2 through 4 days prior to the current time, and by the National Centers for Environmental Prediction Global Data Assimilation System in combination with hourly Multi-Radar Multi-Sensor precipitation estimates from 4 days ago to the present time. A unique feature of SPoRT-LIS is the incorporation of daily, real-time satellite retrievals of VIIRS Green Vegetation Fraction since 2012, which results in more representative evapotranspiration and ultimately soil moisture estimates than using a fixed seasonal depiction of vegetation in the model.
The 33-year soil moisture climatology also provides the database for real-time soil moisture percentiles evaluated for all U.S. counties and at each modeled grid point. The present-day soil moisture analyses are compared to daily historical distributions to determine the soil wet/dry anomalies for the specific day of the year. Soil moisture percentile maps are constructed for the model layers, and these data are frequently referenced by scientists and operational agencies contributing to the weekly U.S. Drought Monitor product.
Suggested Use:
This product can be used for drought assessment, fire risk assessment, potential for flooding hazards associated with heavy precipitation and high percentiles; contextualizing soil moisture content to historical values.
Soil moisture percentiles are shown using a Classified Color Ramp (Multi-Color, 11-classes) that colorize the low percentile categories (≤ 30th) as shown in the U.S. Drought Monitor weekly products, ranging from yellow to dark red. The high percentile categories (≥ 70th) are colorized with increasing blue intensity. Intermediate percentiles in the 30th to 70th range are assigned a nominal gray shade.
The 0-40 cm layer combines SPoRT-LIS soil moisture analyses from the top two model layers 0-10 cm and 10-40 cm. The 0-40 cm cumulative layer adjusts fairly quickly to precipitation episodes or the lack thereof, so the soil moisture percentile can change substantially over the course of several days. It will respond slower than the 0-10 cm layer percentiles, since intercepted rainfall and snowmelt will infiltrate from the upper 0-10 cm layer into the next model layer at 10-40 cm.
Data Caveats:
The SPoRT-LIS is as good as the input forcing analyses, so occasional soil moisture artifacts may appear in the horizontal maps related to quality-control issues of the input datasets. These can be manifested with unusually low or high percentiles, especially along international borders, coastlines, and isolated dry “bulls-eyes” at rain gauge with quality issues.
Data Visualization:
The Soil Moisture Percentile is the histogram rank of the current day’s soil moisture value compared to the 33-year climatology for the present day. The percentile places into historical context the soil moisture to determine how unusually wet or dry, or typical the conditions are. Percentile thresholds as established by the drought community are used to categorize soil moisture dry anomalies as follows:
Percentile threshold Category Category description
≤ 2nd D4 Exceptional drought
≤ 5th D3 Extreme drought
≤ 10th D2 Severe drought
≤ 20th D1 Moderate drought
≤ 30th D0 Unusually dry
30th < percentile < 70th — (Intermediate soil moisture values)
≥ 70th W0 Unusually wet
≥ 80th W1 Moderate wetness
≥ 90th W2 Severe wetness
≥ 95th W3 Extreme wetness
≥ 98th W4 Exceptional wetness
Further Reference:
NASA SPoRT project page: https://weather.ndc.nasa.gov/sport/
Real-time SPoRT-LIS viewer: https://weather.ndc.nasa.gov/sport/viewer/?dataset=lis_conus
Access to real-time rolling archive of digital data and in various formats: https://geo.nsstc.nasa.gov/SPoRT/modeling/lis/conus3km/
Daily animations of experimental 2-week forecasts of SPoRT-LIS soil moisture percentiles: https://geo.nsstc.nasa.gov/SPoRT/modeling/lis/conus3km/forecasts/
NASA Land Information System project page: https://lis.gsfc.nasa.gov/
U.S. Drought Monitor page: https://droughtmonitor.unl.edu/
Update Frequency:
Daily
Summary:
Land Information System (LIS) 0-40 cm layer Soil Moisture Percentile generated by the NASA SPoRT Center over a Contiguous United States domain.
The NASA Land Information System (LIS) is a high-performance land surface modeling and data assimilation system used to characterize land surface states and fluxes by integrating satellite-derived datasets, ground-based observations, and model re-analyses. The NASA SPoRT Center at MSFC developed a real-time configuration of the LIS (“SPoRT-LIS”), which is designed for use in experimental operations by domestic and international users. SPoRT-LIS is an observations-driven, historical and real-time modeling setup that runs the Noah land surface model over a full CONUS domain. It provides soil moisture estimates at approximately 3-km horizontal grid spacing over a 2-meter-deep soil column and has been validated for regional applications and against U.S. Drought Monitor products.
SPoRT-LIS consists of a 33-year soil moisture climatology spanning from 1981 to 2013, which is extended to the present time and forced by atmospheric analyses from the operational North American Land Data Assimilation System-Phase 2 through 4 days prior to the current time, and by the National Centers for Environmental Prediction Global Data Assimilation System in combination with hourly Multi-Radar Multi-Sensor precipitation estimates from 4 days ago to the present time. A unique feature of SPoRT-LIS is the incorporation of daily, real-time satellite retrievals of VIIRS Green Vegetation Fraction since 2012, which results in more representative evapotranspiration and ultimately soil moisture estimates than using a fixed seasonal depiction of vegetation in the model.
The 33-year soil moisture climatology also provides the database for real-time soil moisture percentiles evaluated for all U.S. counties and at each modeled grid point. The present-day soil moisture analyses are compared to daily historical distributions to determine the soil wet/dry anomalies for the specific day of the year. Soil moisture percentile maps are constructed for the model layers, and these data are frequently referenced by scientists and operational agencies contributing to the weekly U.S. Drought Monitor product.
Suggested Use:
This product can be used for drought assessment, fire risk assessment, potential for flooding hazards associated with heavy precipitation and high percentiles; contextualizing soil moisture content to historical values.
Soil moisture percentiles are shown using a Classified Color Ramp (Multi-Color, 11-classes) that colorize the low percentile categories (≤ 30th) as shown in the U.S. Drought Monitor weekly products, ranging from yellow to dark red. The high percentile categories (≥ 70th) are colorized with increasing blue intensity. Intermediate percentiles in the 30th to 70th range are assigned a nominal gray shade.
The 0-40 cm layer combines SPoRT-LIS soil moisture analyses from the top two model layers 0-10 cm and 10-40 cm. The 0-40 cm cumulative layer adjusts fairly quickly to precipitation episodes or the lack thereof, so the soil moisture percentile can change substantially over the course of several days. It will respond slower than the 0-10 cm layer percentiles, since intercepted rainfall and snowmelt will infiltrate from the upper 0-10 cm layer into the next model layer at 10-40 cm.
Data Caveats:
The SPoRT-LIS is as good as the input forcing analyses, so occasional soil moisture artifacts may appear in the horizontal maps related to quality-control issues of the input datasets. These can be manifested with unusually low or high percentiles, especially along international borders, coastlines, and isolated dry “bulls-eyes” at rain gauge with quality issues.
Data Visualization:
The Soil Moisture Percentile is the histogram rank of the current day’s soil moisture value compared to the 33-year climatology for the present day. The percentile places into historical context the soil moisture to determine how unusually wet or dry, or typical the conditions are. Percentile thresholds as established by the drought community are used to categorize soil moisture dry anomalies as follows:
Percentile threshold Category Category description
≤ 2nd D4 Exceptional drought
≤ 5th D3 Extreme drought
≤ 10th D2 Severe drought
≤ 20th D1 Moderate drought
≤ 30th D0 Unusually dry
30th < percentile < 70th — (Intermediate soil moisture values)
≥ 70th W0 Unusually wet
≥ 80th W1 Moderate wetness
≥ 90th W2 Severe wetness
≥ 95th W3 Extreme wetness
≥ 98th W4 Exceptional wetness
Further Reference:
NASA SPoRT project page: https://weather.ndc.nasa.gov/sport/
Real-time SPoRT-LIS viewer: https://weather.ndc.nasa.gov/sport/viewer/?dataset=lis_conus
Access to real-time rolling archive of digital data and in various formats: https://geo.nsstc.nasa.gov/SPoRT/modeling/lis/conus3km/
Daily animations of experimental 2-week forecasts of SPoRT-LIS soil moisture percentiles: https://geo.nsstc.nasa.gov/SPoRT/modeling/lis/conus3km/forecasts/
NASA Land Information System project page: https://lis.gsfc.nasa.gov/
U.S. Drought Monitor page: https://droughtmonitor.unl.edu/