Victor Korenís modified
model has been integrated into the Hydrology Laboratory's Research Modeling System (HL-RMS) distributed model. His new Sacramento
model combines the principles of heat transfer and physical soil properties to
compute physically-based estimates of soil moisture and soil temperature (see
In another development,
HL-RMS has been modified to run over the entire continental US (CONUS). Victor, Fekadu Moreda, and Zhengtao Cui
recently ran the new versions of the SAC model and HL-RMS over CONUS using
seven days of hourly NEXRAD (NEXt generation RADar) Stage IV data as shown in
Figure 1. Figures 2, 3, and 4 show actual computed soil
moisture content in three different layers at the end of the seven day run of
HL-RMS. Figure 5 shows computed surface runoff. In all these figures, the modeling resolution is 4km by 4km.
We see such large scale, high
resolution tests as an exciting opportunity to develop new tools and prototype
products for future RFC forecast operations:
Prototype versions of new water resources
products can be tested. These include soil moisture and soil temperature for
agricultural users. Such products are foundational to the NOAA Water Resources
program as shown in Figure 6.
Gridded values of physically-based soil moisture
can potentially be used to evaluate Flash Flood Guidance (FFG).
CONUS-scale runs will allow us to more effectively
identify where our modeling efforts work and where they need improvement. This
results in an accelerated research-to-operations pathway.
Research collaborators such as the University of Arizona can more effectively test
their modeling improvements and calibration strategies. The University
of Arizona is currently working
with a version of HL-RMS running on their system.
New distributed model calibration strategies can
CONUS runs of HL-RMS can expedite the evaluation
of new precipitation products such as National Severe Storms Laboratoryís NMQ (National
Mosaic and multi-sensor Quantitative precipitation estimation) and
Q2 (next generation Quantitative Precipitation Estimation).
Such testing supports NOAA mission goals listed in the NOAA 2005-2010
Performance objectives for Weather and Water Mission Goal:
Increase development, application, and
transition of advanced science and technology to operations and services.
Cross Cutting Priorities:
Ensuring sound, state-of-art research.
runs of HL-RMS can contribute to the development of the National Integrated
Drought Information System (NIDIS).
4km Computed Soil Moisture in 0-25cm layer at hour 0, June 17, 2004.