Ag Blog Update 01 Aug

Ag Blog Update 01 Aug

 

During the 2019 growing season, Dr. Eric Hunt of Atmospheric and Environmental Research, Inc. will be providing weekly updates of the soil moisture index (SMI) from the Noah-MP land surface model in the NASA LIS framework for the eastern 3/4 of the U.S. where row-crop agriculture is more common. The Evaporative Stress Index (ESI) is now included in our analysis. The analysis is intended to provide the larger agricultural and meteorological communities insight as to areas where soil moisture is excessive or deficient compared to average for that location and what that may mean for impacts. It is my goal that these maps can be an early warning signal for flash drought development or where flash flooding could be likely in the coming week if heavy precipitation materializes. Please be advised that the SMI should be viewed as complementary, not a substitute, to the U.S. Drought Monitor (USDM) and that declarations of drought for a particular location should never be based on the SMI alone.

This blog post was partially supported by NASA grant NNH16CT05C.

imageasqlc.png 

Figure 1. The Soil Moisture Index (SMI) for the 7-day period ending 27 July 2019. 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.

 

imageuj36c.png

Figure 2.  Same as Figure 1, except Noah-MP is run with a dynamic vegetation option, instead of a climatologically driven leaf area index (LAI). 

 

imagedu82.png

Figure 3. Comparison of this week’s SMI map the last three week’s SMI maps.

 

imageozxue.png

Figure 4. 1-month Evaporative Stress Index (ESI) from 29 July 2019. For additional information on the ESI, please refer to Anderson et al. (2012) and Otkin et al. (2013)

 

Narrative:

The soil moisture index (SMI) remained steady or dropped a bit over most of the Corn Belt over the past week. Parts of central and eastern Nebraska saw a decent increase with the rain that occurred just after the data cutoff for last week’s map. As I stated last week the SMI (with the Noah-MP land surface model) is in good agreement with the latest Drought Monitor, though the recent dryness in parts of eastern Iowa and western Illinois isn’t being picked up as well with the standard Noah-MP simulation. The recent dry stretch in northern Indiana is being picked up well though and it’s close to being time to refer to that area as being in flash drought. As has been the case for the majority of the season, the dynamic vegetation simulation has been more aggressive with drying out the soils, with differences most substantial in the Great Plains and Corn Belt.

The 1-month ESI continues to be negative over the Corn Belt, with the most pronounced pockets occurring over southwestern Minnesota and Illinois. This signal has been pretty persistent over the last month. I will give additional thoughts and insights on this in our next Corn Forecast.

Corn condition has remained fairly consistent over the last month or so. As I have mentioned in recent weeks, the difference between the percent of corn in the Excellent-Good (EG) condition categories and Poor-Very Poor (PVP) condition categories is under 50 percent, which at this point in the season usually (though not always) indicates below trend corn yields nationally should be expected.  

 

image32gvu.png

Figure 5. Percent of corn rated Excellent or Good minus the percent of corn rated Poor or Very Poor for Week 30 dating back to 1986 (red circles) and the final corn trend (blue diamonds). Data courtesy of USDA NASS.

 

The AER 2019 Corn Yield Forecast is available for purchase

Check out the purchase information here: Forecast