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Shaobo Sun, Baozhang Chen, Quanqin Shao, Jing Chen, Jiyuan Liu, Xue-jun Zhang, Huifang Zhang, and Xiaofeng Lin

simulations; however, the datasets were not validated with measurements, and the LSMs used were relatively early versions. The first objective of this study was to develop long-term (1979–2012) and consistent ET estimates of China (0.25° × 0.25°) using multiple LSMs driven by recently developed observation-based forcing datasets. The modeled ET values were evaluated against measurements from nine flux towers at site scale and from the land-surface-water-budget-based ET estimation at regional scale. In

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Ferdinand Baer, Houjun Wang, Joseph J. Tribbia, and Aimé Fournier

systematically. Starting with a thorough assessment using the shallow water equations, the model was subjected to detailed comparison studies as a stand-alone dycore with simple physics to a complete atmospheric climate model incorporating currently best understood physics. It was evaluated using various truncations with or without LMR. Its performance on careful comparison with a modern state-of-the-art atmospheric climate model—NCAR’s CAM2—indicates that CAM_SEM is predicting satisfactorily at this point

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Marc Berenguer, Madalina Surcel, Isztar Zawadzki, Ming Xue, and Fanyou Kong

performed such evaluations by examining how NWP models depict the diurnal cycle of precipitation during the warm season over North America. Their analyses are indicative of model performance in characterizing convection initiation, the motion of organized convection, and the convection related to sea-breeze circulations near the Gulf of Mexico. Similarly, in a recent paper ( Surcel et al. 2010 , hereafter Part I ) we have evaluated the performance of the Canadian Global Environmental Multiscale (GEM

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John E. Walsh, William L. Chapman, Vladimir Romanovsky, Jens H. Christensen, and Martin Stendel

( Nakicenovic and Swart 2000 ). For the evaluation performed in this study, we use only the output from the twentieth-century simulations (20C3M) to evaluate the modelsperformance. The CMIP3 model output is compared here against the 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40), which directly assimilates observed air temperature and SLP observations into a reanalysis product spanning 1958–2000. Precipitation is computed by the model used in the data assimilation

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Nicole Mölders

performance of the WRF than other models, however, may be an artifact of climatologically low wind speed in interior Alaska in general and in June 2005 in particular; the June average wind speed for Fairbanks is 3.3 m s −1 . 5. Fire indices evaluation WRF data and observation derived fire indices do not differ significantly. For all fire indices, the spatial standard deviation increases with time for the predictions and observations because the level of fire danger develops differently at the various

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Julia Andrys, Thomas J. Lyons, and Jatin Kala

.3, driven by ERA-Interim ( Dee et al. 2011 ) boundary conditions. A 3-month model spinup period was used. The outer 50-km domain ( Fig. 1a ) was based on the CORDEX Australia domain. The two nested domains, at 10- and 5-km resolution, were chosen to evaluate the influence of spatial scale on model skill and also to compare the performance of parameterized convection with convection that is explicitly resolved in the model. We note that the downscaling ratio of 2 used between our two nested domains is a

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Yi Zhang, Haoming Chen, and Rucong Yu

favorable ambient environment for the simulation of EC stratus clouds. Therefore, it is worthwhile investigating the sensitivity of these stratus clouds in a GCM with different resolution configurations. This paper will evaluate the performance of the Community Atmosphere Model, version 5 (CAM5) in simulating EC stratus clouds and associated environmental fields under different resolutions. We will document the common strengths, limitations, and changes from low- to high-resolution experiments. We hope

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Marko Markovic, Hai Lin, and Katja Winger

SGM results to the observations, they found that the model realistically reproduced the main climate characteristics over the Mediterranean. Furthermore, comparing variable-resolution ARPEGE with a uniform grid configuration of the same model, they suggested that the increase in horizontal resolution does not systematically improve the model performance with respect to the observations. The stretched-grid model intercomparison project (SGMIP; Fox-Rabinovitz et al. 2006 ) revealed many advantages

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Lei Meng and Steven M. Quiring

handle frozen soils or accurately simulate other important processes). All these studies have shown that model performance varies by location and that intermodel comparisons are useful for evaluating and improving model performance. However, to date, there have been no direct comparisons of the Variable Infiltration Capacity (VIC), the Decision Support System for Agrotechnology Transfer (DSSAT; Ritchie and Otter 1985 ), and the Climatic Water Budget (CWB; Thornthwaite 1948 ; Thornthwaite and

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Fangfang Zhao, Francis H. S. Chiew, Lu Zhang, Jai Vaze, Jean-Michel Perraud, and Ming Li

decreases from 0.59 to 0.51 for the calibration and validation periods. Table 3. Results of model calibration, validation and regionalization. 2) Model performance in catchments with different rainfall regimes Rainfall seasonality is an important factor controlling catchment-scale water balance ( Potter et al. 2005 ). The performances of the VIC-3L model in the catchments with different rainfall seasonality are evaluated to better understand the seasonality effect on streamflow. Results of model

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