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    Validation of River Flows in HadGEM1 and HadCM3 with the TRIP River Flow Model

    Source: Journal of Hydrometeorology:;2011:;Volume( 012 ):;issue: 006::page 1157
    Author:
    Falloon, Pete
    ,
    Betts, Richard
    ,
    Wiltshire, Andrew
    ,
    Dankers, Rutger
    ,
    Mathison, Camilla
    ,
    McNeall, Doug
    ,
    Bates, Paul
    ,
    Trigg, Mark
    DOI: 10.1175/2011JHM1388.1
    Publisher: American Meteorological Society
    Abstract: he Total Runoff Integrating Pathways (TRIP) global river-routing scheme in the third climate configuration of the Met Office Unified Model (HadCM3) and the newer Hadley Centre Global Environmental Model version 1 (HadGEM1) general circulation models (GCMs) have been validated against long-term average measured river discharge data from 40 stations on 24 major river basins from the Global Runoff Data Centre (GRDC). TRIP was driven by runoff produced directly by the two GCMs in order to assess both the skill of river flows produced within GCMs in general and to test this as a method for validating large-scale hydrology in GCMs. TRIP predictions of long-term-averaged annual discharge were improved at 28 out of 40 gauging stations on 24 of the world?s major rivers in HadGEM1 compared to HadCM3, particularly for low- and high-latitude basins, with predictions ranging from ?good? (within 20% of observed values) to ?poor? (biases exceeding 50%). For most regions, the modeled annual average river flows tended to be exaggerated in both models, largely reflecting inflated estimates of precipitation, although lack of human interventions in this modeling setup may have been an additional source of error. Within individual river basins, there were no clear trends in the accuracy of HadGEM1 versus HadCM3 predictions at up- or downstream gauging stations. Relative root-mean-square error (RRMSE) scores for the annual cycle of river flow ranged from poor (>50%) to ?fair? (20%?50%) with an overall range of 20.7%?1023.5%, comparable to that found in similar global-scale studies. In both models, simulations of the annual cycle of river flow were generally better for high-latitude basins than in low or midlatitudes. There was a relatively small improvement in the annual cycle of river flow in HadGEM1 compared to HadCM3, mostly in the low-latitude rivers. The findings suggest that there is still substantial work to be done to enable GCMs to simulate monthly discharge consistently well over the majority of basins, including improvements to both (i) GCM simulation of basin-scale precipitation and evaporation and (ii) hydrological processes (e.g., representation of dry land hydrology, floodplain inundation, lakes, snowmelt, and human intervention).
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      Validation of River Flows in HadGEM1 and HadCM3 with the TRIP River Flow Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4214008
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    • Journal of Hydrometeorology

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    contributor authorFalloon, Pete
    contributor authorBetts, Richard
    contributor authorWiltshire, Andrew
    contributor authorDankers, Rutger
    contributor authorMathison, Camilla
    contributor authorMcNeall, Doug
    contributor authorBates, Paul
    contributor authorTrigg, Mark
    date accessioned2017-06-09T16:40:39Z
    date available2017-06-09T16:40:39Z
    date copyright2011/12/01
    date issued2011
    identifier issn1525-755X
    identifier otherams-72048.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214008
    description abstracthe Total Runoff Integrating Pathways (TRIP) global river-routing scheme in the third climate configuration of the Met Office Unified Model (HadCM3) and the newer Hadley Centre Global Environmental Model version 1 (HadGEM1) general circulation models (GCMs) have been validated against long-term average measured river discharge data from 40 stations on 24 major river basins from the Global Runoff Data Centre (GRDC). TRIP was driven by runoff produced directly by the two GCMs in order to assess both the skill of river flows produced within GCMs in general and to test this as a method for validating large-scale hydrology in GCMs. TRIP predictions of long-term-averaged annual discharge were improved at 28 out of 40 gauging stations on 24 of the world?s major rivers in HadGEM1 compared to HadCM3, particularly for low- and high-latitude basins, with predictions ranging from ?good? (within 20% of observed values) to ?poor? (biases exceeding 50%). For most regions, the modeled annual average river flows tended to be exaggerated in both models, largely reflecting inflated estimates of precipitation, although lack of human interventions in this modeling setup may have been an additional source of error. Within individual river basins, there were no clear trends in the accuracy of HadGEM1 versus HadCM3 predictions at up- or downstream gauging stations. Relative root-mean-square error (RRMSE) scores for the annual cycle of river flow ranged from poor (>50%) to ?fair? (20%?50%) with an overall range of 20.7%?1023.5%, comparable to that found in similar global-scale studies. In both models, simulations of the annual cycle of river flow were generally better for high-latitude basins than in low or midlatitudes. There was a relatively small improvement in the annual cycle of river flow in HadGEM1 compared to HadCM3, mostly in the low-latitude rivers. The findings suggest that there is still substantial work to be done to enable GCMs to simulate monthly discharge consistently well over the majority of basins, including improvements to both (i) GCM simulation of basin-scale precipitation and evaporation and (ii) hydrological processes (e.g., representation of dry land hydrology, floodplain inundation, lakes, snowmelt, and human intervention).
    publisherAmerican Meteorological Society
    titleValidation of River Flows in HadGEM1 and HadCM3 with the TRIP River Flow Model
    typeJournal Paper
    journal volume12
    journal issue6
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/2011JHM1388.1
    journal fristpage1157
    journal lastpage1180
    treeJournal of Hydrometeorology:;2011:;Volume( 012 ):;issue: 006
    contenttypeFulltext
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