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J. S. Kimball, M. Zhao, A. D. McGuire, F. A. Heinsch, J. Clein, M. Calef, W. M. Jolly, S. Kang, S. E. Euskirchen, K. C. McDonald, and S. W. Running

sensor and navigational drift, intercalibration of successive instruments, and data contamination from volcanic eruptions and bidirectional effects ( Cihlar et al. 1998 ). While time series remote sensing data are capable of detecting changes in photosynthetic biomass and NPP, more detailed assessment of underlying mechanisms driving observed trends and below-ground processes is limited. Alternatively, prognostic ecosystem process model simulations can be used with these methods to evaluate regional

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A. D. McGuire, J. E. Walsh, J. S. Kimball, J. S. Clein, S. E. Euskirchen, S. Drobot, U. C. Herzfeld, J. Maslanik, R. B. Lammers, M. A. Rawlins, C. J. Vorosmarty, T. S. Rupp, W. Wu, and M. Calef

et al. 2006 ; Clein et al. 2007 ; Rupp et al. 2007 ). This result highlights the need for improved accuracy and consistency in high-latitude climate reanalysis and other gridded meteorological data at spatial resolutions sufficient to resolve the effects of regional topography and mesoscale air masses on temperature, precipitation, atmospheric humidity, and solar radiation. The uncertainties associated with different climate datasets have implications for coupling models of terrestrial dynamics

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Wanli Wu, Amanda H. Lynch, Sheldon Drobot, James Maslanik, A. David McGuire, and Ute Herzfeld

changes requires credible data for regional hydrologic and ecological analyses. The Western Arctic Linkage Experiment (WALE) is designed to investigate regional water, energy, and carbon dioxide budgets in Alaska and western Canada through the comparison of modeling and observationally derived datasets (McGuire et al. 2007, manuscript submitted to Earth Interactions ). The availability of large-scale, long-term datasets of land surface water and energy budgets is essential for understanding the

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J. S. Kimball, K. C. McDonald, and M. Zhao

autotrophic respiration is constrained by cool temperatures relative to warmer and drier conditions later in the growing season. Vegetation productivity may also be benefiting from regional warming through increased soil organic matter decomposition and release of plant-available nutrients with thawing permafrost and warming soils ( Kimball et al. 2006 ). While vegetation productivity may be enhanced in the short-term by an advancing growing season, the negative effects of summer drought may become more

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T. Scott Rupp, Xi Chen, Mark Olson, and A. David McGuire

vegetation imply that fire’s sensitivity to global change could be more important than the direct effects of climatic warming on terrestrial ecosystems ( Rupp et al. 2000a ; Houghton 2001 ; Lavorel et al. 2005 ). Studies of future responses of fire weather severity ( Flannigan and Van Wagner 1991 ; Flannigan et al. 1998 ; Stocks et al. 1998 ) and area burned ( Price and Rind 1994 ; Flannigan et al. 2005 ) indicate strong increases for many regions of the boreal forest but are characterized with

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Joy Clein, A. David McGuire, Eugenie S. Euskirchen, and Monika Calef

al. 2006 ; Thompson et al. 2006 ). The Western Arctic Linkage Experiment (WALE) was set up to evaluate uncertainties in regional hydrology and carbon estimates in Alaska and the adjacent Yukon Territory associated with 1) alternative driving datasets and 2) alternative simulation models. As part of the WALE, Kimball et al. ( Kimball et al. 2007 ) conducted a study of carbon balance in the WALE region that compared the simulations of remote sensing and process-based models during recent decades

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Ute C. Herzfeld, Sheldon Drobot, Wanli Wu, Charles Fowler, and James Maslanik

function of geographical location? How large are seasonal effects, and how are they distributed regionally? What are the potential causes and remedies of discrepancies between data and models? Hence the objectives of our study are 1) quantitative assessment of similarity between datasets and climate model fields, for temperature and precipitation, in a spatial domain; 2) identification of geographic areas that are problematic in modeling; 3) investigation of seasonal differences in model–data agreement

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Sheldon Drobot, James Maslanik, Ute Christina Herzfeld, Charles Fowler, and Wanli Wu

1. Introduction One of the central themes of the Western Arctic Linkage Experiment (WALE) is to investigate uncertainties in regional hydrology and carbon estimates with respect to variations in different driving datasets. This will provide scientists with a better understanding of how the different datasets influence the hydrology models, leading to a more complete description of model uncertainty. Such analyses are critical to understanding the larger WALE goal of determining how the Arctic

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M. A. Rawlins, S. Frolking, R. B. Lammers, and C. J. Vörösmarty

better understand the effect of data biases and uncertainties on simulated water budgets, we perform a series of model simulations using three climate drivers and three methods for estimating PET across the Western Arctic Linkage Experiment (WALE) domain. Goals of the WALE project include identification of uncertainties in regional hydrology and carbon estimates with respect to uncertainties in (i) driving datasets and (ii) among different models. The present paper focuses on how the limitations and

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