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. CONUS 30-day change in SMI
- Figure 3. South America Soil Moisture Index map
- Figure 4. South America 30-day change in SMI
- Figure 5. Western Russia/Ukraine Soil Moisture Index map
- Figure 6. Western Russia/Ukraine 30-day change in SMI
Figure 1. Soil moisture index (SMI) map) for the 7-day period ending 18 February 2021. 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 blue) 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. The 30-day change in the SMI between 19 January 2021 and 18 February 2021. Scale shows the color that corresponds to the direction (positive or negative) and the magnitude of the change.
Figure 3. Soil moisture index (SMI) map) for the 7-day period ending 18 February 2021 over South America. Refer to the caption in Figure 1 for more details.
Figure 4. The 30-day change in the SMI between 19 January 2021 and 18 February 2021 over South America. Scale shows the color that corresponds to the direction (positive or negative) and the magnitude of the change.
Figure 5. Soil moisture index (SMI) map) for the 7-day period ending 18 February 2021 over western Russia, Ukraine, and northwestern Kazakhstan. Refer to the caption in Figure 1 for more details. Black squares are missing data points.
Figure 6. The 30-day change in the SMI between 19 January 2021 and 18 February 2021 over western Russia, Ukraine, and northwestern Kazakhstan. Scale shows the color that corresponds to the direction (positive or negative) and the magnitude of the change.
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.
Disclaimer: This report and the information and data contained herein (the Report) are wholly advisory in nature and are provided AS IS. AER makes no representations, covenants or warranties of any kind, either express or implied, with respect to the Report, including, without limitation, warranties of condition, quality, durability, suitability, merchantability or fitness for a particular purpose, or in respect of any warranty arising by statute or otherwise in law or from a course of dealing or usage of trade. The information included in the Report may be statistical samples and/or actuarial calculations and AER makes no warranties or representations, either express or implied, that the Report will accurately reflect, predict or resemble experience for an entire industry or any member or members of any industry. AER shall have no liability and shall not be responsible for business and legal conclusions, judgments and decisions made with respect to the Report. AER does not warrant and makes no representations regarding the completeness, currency, accuracy or predictive value of the Report. AER makes no representations and assumes no responsibility for the accuracy of the Report and is not responsible for errors resulting from omitted, misstated or erroneous information or assumptions.