TY - JOUR
T1 - Simulation of high-latitude hydrological processes in the Torne-Kalix basin
T2 - PILPS Phase 2(e) 1: Experiment description and summary intercomparisons
AU - Bowling, Laura C.
AU - Lettenmaier, Dennis P.
AU - Nijssen, Bart
AU - Graham, L. Phil
AU - Clark, Douglas B.
AU - El Maayar, Mustapha
AU - Essery, Richard
AU - Goers, Sven
AU - Gusev, Yeugeniy M.
AU - Habets, Florence
AU - Van Den Hurk, Bart
AU - Jin, Jiming
AU - Kahan, Daniel
AU - Lohmann, Dag
AU - Ma, Xieyao
AU - Mahanama, Sarith
AU - Mocko, David
AU - Nasonova, Olga
AU - Niu, Guo Yue
AU - Samuelsson, Patrick
AU - Shmakin, Andrey B.
AU - Takata, Kumiko
AU - Verseghy, Diana
AU - Viterbo, Pedro
AU - Xia, Youlong
AU - Xue, Yongkang
AU - Yang, Zong Liang
N1 - Funding Information:
This paper was improved by the careful review of Ann Henderson-Sellers and one anonymous reviewer. Many of the authors were assisted in their modeling efforts by more contributors than can be listed here. Hans Alexandersson of the Swedish Meteorological and Hydrological Institute provided critical expertise with regard to catch correction of Swedish precipitation records. Jan Polcher provided support for the first use of the ALMA data exchange conventions. Travel support for the Phase 2(e) workshop held in Seattle, WA, was provided in part by the World Climate Research Program (WCRP) and by the Joint Institute for the Study of the Atmosphere and Ocean (JISAO) at the University of Washington funded under NOAA Cooperative Agreement NA17RJ1232, as part of the GEWEX Continental-scale International Project (GCIP).
PY - 2003/7
Y1 - 2003/7
N2 - Twenty-one land-surface schemes (LSSs) participated in the Project for Intercomparison of Land-surface Parameterizations (PILPS) Phase 2(e) experiment, which used data from the Torne-Kalix Rivers in northern Scandinavia. Atmospheric forcing data (precipitation, air temperature, specific humidity, wind speed, downward shortwave and longwave radiation) for a 20-year period (1979-1998) were provided to the 21 participating modeling groups for 218 1/4° grid cells that represented the study domain. The first decade (1979-1988) of the period was used for model spin-up. The quality of meteorologic forcing variables is of particular concern in high-latitude experiments and the quality of the gridded dataset was assessed to the extent possible. The lack of sub-daily precipitation, underestimation of tree precipitation and the necessity to estimate incoming solar radiation were the primary data concerns for this study. The results from two of the three types of runs are analyzed in this, the first of a three-part paper: (1) calibration-validation runs - calibration of model parameters using observed streamflow was allowed for two small catchments (570 and 1300 km2), and parameters were then transferred to two other catchments of roughly similar size (2600 and 1500 km2) to assess the ability of models to represent ungauged areas elsewhere; and 2) reruns - using revised forcing data (to resolve problems with apparent underestimation of solar radiation of approximately 36%, and certain other problems with surface wind in the original forcing data). Model results for the period 1989-1998 are used to evaluate the performance of the participating land-surface schemes in a context that allows exploration of their ability to capture key processes spatially. In general, the experiment demonstrated that many of the LSSs are able to capture the limitations imposed on annual latent heat by the small net radiation available in this high-latitude environment. Simulated annual average net radiation varied between 16 and 40 W/m2 for the 21 models, and latent heat varied between 18 and 36 W/m2. Among-model differences in winter latent heat due to the treatment of aerodynamic resistance appear to be at least as important as those attributable to the treatment of canopy interception. In many models, the small annual net radiation forced negative sensible heat on average, which varied among the models between - 11 and 9 W/m2. Even though the largest evaporation rates occur in the summer (June, July and August), model-predicted snow sublimation in winter has proportionately more influence on differences in annual runoff volume among the models. A calibration experiment for four small sub-catchments of the Torne-Kalix basin showed that model parameters that are typically adjusted during calibration, those that control storage of moisture in the soil column or on the land surface via ponding, influence the seasonal distribution of runoff, but have relatively little impact on annual runoff ratios. Similarly, there was no relationship between annual runoff ratios and the proportion of surface and subsurface discharge for the basin as a whole.
AB - Twenty-one land-surface schemes (LSSs) participated in the Project for Intercomparison of Land-surface Parameterizations (PILPS) Phase 2(e) experiment, which used data from the Torne-Kalix Rivers in northern Scandinavia. Atmospheric forcing data (precipitation, air temperature, specific humidity, wind speed, downward shortwave and longwave radiation) for a 20-year period (1979-1998) were provided to the 21 participating modeling groups for 218 1/4° grid cells that represented the study domain. The first decade (1979-1988) of the period was used for model spin-up. The quality of meteorologic forcing variables is of particular concern in high-latitude experiments and the quality of the gridded dataset was assessed to the extent possible. The lack of sub-daily precipitation, underestimation of tree precipitation and the necessity to estimate incoming solar radiation were the primary data concerns for this study. The results from two of the three types of runs are analyzed in this, the first of a three-part paper: (1) calibration-validation runs - calibration of model parameters using observed streamflow was allowed for two small catchments (570 and 1300 km2), and parameters were then transferred to two other catchments of roughly similar size (2600 and 1500 km2) to assess the ability of models to represent ungauged areas elsewhere; and 2) reruns - using revised forcing data (to resolve problems with apparent underestimation of solar radiation of approximately 36%, and certain other problems with surface wind in the original forcing data). Model results for the period 1989-1998 are used to evaluate the performance of the participating land-surface schemes in a context that allows exploration of their ability to capture key processes spatially. In general, the experiment demonstrated that many of the LSSs are able to capture the limitations imposed on annual latent heat by the small net radiation available in this high-latitude environment. Simulated annual average net radiation varied between 16 and 40 W/m2 for the 21 models, and latent heat varied between 18 and 36 W/m2. Among-model differences in winter latent heat due to the treatment of aerodynamic resistance appear to be at least as important as those attributable to the treatment of canopy interception. In many models, the small annual net radiation forced negative sensible heat on average, which varied among the models between - 11 and 9 W/m2. Even though the largest evaporation rates occur in the summer (June, July and August), model-predicted snow sublimation in winter has proportionately more influence on differences in annual runoff volume among the models. A calibration experiment for four small sub-catchments of the Torne-Kalix basin showed that model parameters that are typically adjusted during calibration, those that control storage of moisture in the soil column or on the land surface via ponding, influence the seasonal distribution of runoff, but have relatively little impact on annual runoff ratios. Similarly, there was no relationship between annual runoff ratios and the proportion of surface and subsurface discharge for the basin as a whole.
KW - Arctic regions
KW - Atmosphere
KW - Hydrology
KW - Modelling
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U2 - 10.1016/S0921-8181(03)00003-1
DO - 10.1016/S0921-8181(03)00003-1
M3 - Article
AN - SCOPUS:0038679708
SN - 0921-8181
VL - 38
SP - 1
EP - 30
JO - Global and Planetary Change
JF - Global and Planetary Change
IS - 1-2
ER -