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176<br />

Current-climate downscaling of winds and precipitation for the<br />

Eastern Mediterranean<br />

Scott Swerdlin 1 , Thomas Warner 1 , Andrea Hahmann 2 , Dorita Rostkier-Edelstein 3 and Yubao<br />

Liu 1<br />

1 National Center for Atmospheric Research, Boulder, Colorado,USA; swerdlin@ucar.edu<br />

2 Risø National Laboratory for Sustainable Energy, Technical University of Denmark<br />

3 Israel Institute of Biological Research, Ness-Ziona, Israel<br />

1. Introduction<br />

The use of a four-dimensional data-assimilation<br />

(FDDA) system for generating mesoscale<br />

climatographies is demonstrated. This dynamical<br />

downscaling method utilizes the Penn State<br />

University – National Center for Atmospheric<br />

Research Mesoscale Model Version 5 (MM5),<br />

wherein Newtonian-relaxation terms in the<br />

prognostic equations continually nudge the model<br />

solution toward surface and upper-air observations.<br />

When applied for mesoscale climatography<br />

development, the system is called Climate-FDDA<br />

(CFDDA). In this example application of CFDDA,<br />

it is used to downscale weather in the Eastern<br />

Mediterranean region for January and July. This<br />

region was chosen because of its interesting weather<br />

and climate (e.g., geographic contrasts, inter-annual<br />

and inter-seasonal variability).<br />

We verify the performance of the downscaling<br />

method by using independent gridded observations<br />

of monthly rainfall, QuikSCAT ocean-surface<br />

winds, TRMM and gauge rainfall, and hourly<br />

boundary-layer winds from near-coastal tall-tower<br />

sites. The verification focuses on the ability of the<br />

mesoscale model to represent the frequency<br />

distributions of atmospheric states, rather than the<br />

simple zero-order statistics. Earlier results for this<br />

study are published in Hahmann et al. (2007).<br />

2. The model configuration<br />

The model uses 36 computational levels, with<br />

approximately 12 levels within the lowest 1 km and<br />

with the model top at 50 HPa. Figure 1 displays the<br />

geographic location of the model grids, and the<br />

surface elevation on each domain. The model has a<br />

horizontal grid increment of 45 km on the outer grid<br />

(D1), which covers most of the Mediterranean Sea<br />

and extends eastwards to cover the Black and<br />

Caspian Seas. The first nested grid (D2), which has<br />

a grid increment of 15 km, covers the Eastern<br />

Mediterranean and Middle East regions. A third<br />

nested domain (D3), with a grid increment of 5 km,<br />

is located along the easternmost portion of the<br />

Mediterranean coast. The three domains contain 81<br />

× 111, 124 × 178, and 102 × 102 grid points,<br />

respectively.<br />

Figure 1. The model grids used for the downscaling<br />

simulations. See the text for details.<br />

3. Example results<br />

The downscaling method represents very well the<br />

statistics of precipitation over this region. Not only<br />

are monthly averages and their geographic<br />

distribution well simulated, but also the frequency<br />

distributions of daily rainfall are accurately<br />

diagnosed for various regions of the Levant. The<br />

inter-annual variability of the January rainfall is also<br />

well represented for the regions of heavy<br />

precipitation in the Levant and southern Turkey.<br />

The verification with QuikSCAT-estimated wind<br />

speeds over the ocean shows some systematic<br />

errors. The CFDDA-simulated winds tend to be<br />

slower than those defined by QuikSCAT, especially<br />

in winter. These errors are easily corrected by<br />

simple regression equations. In contrast, over land,<br />

the C-FDDA-derived wind climatography<br />

overestimates the boundary-layer wind speeds,<br />

especially in winter. However, most of the errors<br />

can be explained by poorly resolved orography and<br />

coastal configuration in the mesoscale model.<br />

Figure 2 shows the QuickSCAT-observed and<br />

model downscaled winds during July for the period<br />

2000-2007.

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