Earth  ID: 4443


This visualization shows the correlation and lag time of surface soil moisture following precipitation events over Australia, India, and the United States. It uses the new NASA-USDA-FAS Soil Moisture product, a joint effort of NASA and the USDA Foreign Agricultural Service, and the global Integrated Multi-satellitE Retrievals for GPM (IMERG) precipitation dataset, which provides rainfall rates for the entire world every thirty minutes. This animation shows the 30-minute rainfall product, while the soil moisture data is a three-day moving average. Anomaly data is expressed as a standardized anomaly, e.g. (value-average)/stdev, and as such is unitless.

For more detailed information about the soil moisture product:

Bolten, J. D., W. T. Crow, T. J. Jackson, X. Zhan, and C. A. Reynolds (2010), Evaluating the utility of remotely-sensed soil moisture retrievals for operational agricultural drought monitoring, IEEE J. Sel. Topics Appl. Earth Obs., 3(1), 57–66.

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Visualization Credits

Trent L. Schindler (USRA): Lead Visualizer
Horace Mitchell (NASA/GSFC): Visualizer
John D. Bolten (NASA/GSFC): Lead Scientist
Iliana E. Mladenova (University of Maryland): Scientist
Dalia B Kirschbaum (NASA/GSFC): Scientist
Matthew R. Radcliff (USRA): Lead Producer
Please give credit for this item to:
NASA's Scientific Visualization Studio

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Data Used:
Surface Soil Moisture corrected with SMOS imagery and assimilated by the Ensemble Kalman Filter also referred to as: NASA-USDA-FAS Soil Moisture
Data Compilation - NASA and USDA
The surface soil moisture product is corrected by integrating satellite-derived Soil Moisture Ocean Salinity (SMOS) mission surface soil moisture retrievals into the modified Palmer two-layer soil moisture model. The SMOS imagery helps to correct the modified Pal
Note: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.

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