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283<br />

Streamflow in the upper Mississippi river basin as simulated by SWAT<br />

driven by 20C results of NARCCAP regional climate models<br />

E. S. Takle, M. Jha, E. Lu, R. W. Arritt, W. J. Gutowski, Jr., and the NARCCAP Team<br />

Iowa State University, Ames, IA 50011 USA, gstakle@iatate.edu<br />

1. Introduction<br />

Major hydrological quantities in the Upper Mississippi River<br />

Basin (UMRB) in the last two decades of the 20C are<br />

evaluated with the Soil and Water Assessment Tool<br />

(SWAT) in comparison with observed streamflow. Inputs to<br />

SWAT are provided by the daily meteorological quantities<br />

from observed at weather stations in the basin and from<br />

daily meteorological conditions simulated by a subset of<br />

regional climate models reporting to the archive of the North<br />

American Regional Climate Change Assessment Program<br />

(NARCCAP, 2009) driven by reanalysis boundary<br />

conditions. Results show that regional models correctly<br />

simulate the seasonal cycle of precipitation, temperature,<br />

and streamflow within the basin. Regional models also<br />

capture interannual extremes represented by the flood of<br />

1993 and the dry conditions of 2000.<br />

2. Soil and Water Assessment Tool<br />

The SWAT (Arnold and Fohrer, 2005) is a physically based,<br />

continuous time, long-term, watershed scale hydrology and<br />

water quality model. SWAT version 2005 was used for this<br />

analysis. Meteorological input to SWAT includes daily<br />

values of maximum and minimum temperature, total<br />

precipitation, mean wind speed, total solar radiation, and<br />

mean relative humidity. The hydrologic cycle as simulated<br />

by SWAT at the HRU level is based on the balance of<br />

precipitation, surface runoff, percolation, evapotranspiration,<br />

and soil water storage. SWAT takes total daily precipitation<br />

from models or observations and classifies it as rain or snow<br />

using the average daily temperature. When climate model<br />

output is provided, SWAT uses only total liquid<br />

precipitation and does its own partitioning to rain or snow.<br />

Snow cover is allowed to be non-uniform cover due to<br />

shading, drifting, topography and land cover and is allowed<br />

to decline non-linearly based on an areal depletion curve.<br />

Snowmelt, a critical factor in partitioning between runoff<br />

and baseflow, is controlled by the air and snow pack<br />

temperature, the melting rate, and the areal coverage of<br />

snow. On days when the maximum temperature exceeds<br />

0ºC, snow melts according to a linear relationship of the<br />

difference between the average snow pack maximum<br />

temperature and the base or threshold temperature for<br />

snowmelt. The melt factor varies seasonally, and melted<br />

snow is treated the same as rainfall for estimating runoff and<br />

percolation. Further details can also be found in the SWAT<br />

User's manual (Neitsch et al., 2002).<br />

3. Regional Climate Models<br />

A preliminary analysis is presented of three regional climate<br />

models reporting to the NARCCAP archive: MM5I run at<br />

Iowa State University, RCM3 run by the University of<br />

California – Santa Cruz, and the WRFP model run at the<br />

Pacific Northwest National Laboratory. The 20C<br />

simulations of NARCCAP consist of simulations over North<br />

America for 1980-2004 driven by NCEP reanalysis data at<br />

lateral boundaries.<br />

4. Preliminary Results<br />

Mean monthly precipitation and streamflow (Fig 1) for<br />

these three models demonstrate skill in simulating<br />

seasonal distributions and also interannual variability.<br />

a)<br />

b)<br />

c)<br />

d)<br />

Figure 1. RCM/SWAT simulations of a)<br />

temperature, b) precipitation, c) monthly<br />

streamflow, and d) interannual streamflow.

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