From December to March, Eric Hunt of Atmospheric and Environmental Research, Inc. will be providing weekly maps of the soil moisture index (SMI) from the Noah-MP land surface model in the NASA LIS framework for the entire U.S. and for South America.
This blog post was partially supported by NASA grant 80NSSC19K1266.
Order of Maps in today’s Ag Blog
- Figure 1. CONUS Soil Moisture Index map
- Figure 2. South America Soil Moisture Index map
- Figure 3. Western Russia/Ukraine Soil Moisture Index map
Figure 1. Soil moisture index (SMI) map) for the 7-day period ending 17 December 2020. Results are based on output from the 0-1 m (surface to 3.23 feet) layers in the Noah-Multiparameterization (Noah-MP) land surface model. Noah-MP is run in the NASA Land Information System (LIS) framework with the North American Land Data Assimilation Version 2 (NLDAS-2) forcing dataset. The SMI calculation is based on the soil moisture index created in Hunt et al. (2009) such that ‘5’(dark green) is the wettest and ‘-5’ (dark red) the driest for the period of record. The period of record used calculate the SMI for the current map is 1979-present
Figure 2. Soil moisture index (SMI) map) for the 7-day period ending 17 December 2020 over South America. Refer to the caption in Figure 1 for more details.
Figure 3. Soil moisture index (SMI) map) for the 7-day period ending 17 December 2020 over western Russia, Ukraine, and northwestern Kazakhstan. Refer to the caption in Figure 1 for more details. Black squares are missing data points.
About the author:
Eric Hunt is an agricultural climatologist from Lincoln, NE and has several members of his extended family actively farming in Illinois and Nebraska. Eric has been with AER since 2012 and received his Ph.D. from the University of Nebraska. Among other activities, he is currently working on NASA funded projects to study the evolution of flash drought. He routinely blogs about agriculture and weather on the AER website. He can be reached via email at email@example.com and @DroughtLIS on Twitter.
Founded in 1977, Atmospheric and Environmental Research is an award-winning environmental research, consulting and weather information services company with demonstrated expertise in numerical weather prediction, climate dynamics and radiation, circulation diagnostics, atmospheric chemistry, air quality and risk assessment, planetary sciences, remote sensing, satellite meteorology, and systems engineering. Consulting services are available. AER is a business unit of Verisk Analytics (VRSK). For more information, please visit our web site at www.aer.com.
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