A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...

A Look at Amazon Basin Seasonal Dynamics with the Biophysical ... A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...

22.08.2015 Views

High resolution, runoff and discharge fields of theAmazon basinBalázs M. Fekete, Charles J. VörösmartyWater Systems Analysis GroupInstitute for the Study of Earth, Oceans, and SpaceUniversity of New Hampshire39 College Road, Morse Hall, Durham, NH 03824, USAbalazs.fekete@unh.edu / charles.vorosmarty@unh.eduAccurate representation of the spatially distributed runoff and discharge are essentialinformation for a wide variety of ecosystems studies. Terrestrial runoff can be estimated fromclimate variables (such as air temperature, precipitation, vapor pressure, solar radiation, etc.)but such estimates are often inaccurate due to the inherited errors originated from the inputdata.River discharge (which is an integrated signal of the runoff) is one of the most accuratelymeasured components of the hydrological cycle, but it is limited to selected locations whereriver discharge is measured. A combination of the water balance model estimated runoff andmeasured discharge has the potential to provide the most accurate assessment of theterrestrial runoff and discharge in non-monitored sections of the river systems.The Water Systems Analysis Group of the University of New Hampshire developed a simpletechnique to combine water balance model simulated runoff with measured discharge. Thedischarge monitoring stations are co-registered to gridded network, which allows theestablishment of station topology (i.e. the next station downstream from each station) and thedelineation of inter-station areas (the catchment area between upstream gauges and thedownstream station). Correction to water balance model simulated runoff is applied in eachof the inter-station regions to correct for inconsistency between simulated runoff andmeasured discharge. This technique was successfully applied at a global scale first using 30-minute network and discharge data from the Global Runoff Data Centre, Koblenz, Germany.New regional versions of the composite runoff fields were developed recently for theAmazon basin at 6' and 15' resolutions using climate forcings from various sources (such asthe Climate Research Unit of University of East Anglia, the GEWEX Global PrecipitationClimatology Project) and river discharge data from Agência Nacional de Energia Elétrica(ANEEL). The new regional composite runoff fields were developed as a time series for the1979-99 period at monthly time steps. The composite runoff fields were aggregated torepresent river discharge using a special routing scheme, which allows dischargeinterpolation between discharge gauges with the aid of the runoff fields. Such discharge fieldsprovide accurate assessment of river discharge everywhere along the Amazon basins, whichis constrained by the measured discharge at gauging stations.The 6' and 15' minute networks and the composite runoff and discharge fields are to bereleased to the scientific community after rigorous testing. Further development will focus onautomating the input data processing, so similar composite data products can be developedsemi real-time, when the input data (such as the climate forcings and the observed discharge)are available.

High resolution, runoff and discharge fields of <strong>the</strong><strong>Amazon</strong> basinBalázs M. Fekete, Charles J. VörösmartyW<strong>at</strong>er Systems Analysis GroupInstitute for <strong>the</strong> Study of Earth, Oceans, and SpaceUniversity of New Hampshire39 College Road, Morse Hall, Durham, NH 03824, USAbalazs.fekete@unh.edu / charles.vorosmarty@unh.eduAccur<strong>at</strong>e represent<strong>at</strong>ion of <strong>the</strong> sp<strong>at</strong>ially distributed runoff and discharge are essentialinform<strong>at</strong>ion for a wide variety of ecosystems studies. Terrestrial runoff can be estim<strong>at</strong>ed fromclim<strong>at</strong>e variables (such as air temper<strong>at</strong>ure, precipit<strong>at</strong>ion, vapor pressure, solar radi<strong>at</strong>ion, etc.)but such estim<strong>at</strong>es are often inaccur<strong>at</strong>e due to <strong>the</strong> inherited errors origin<strong>at</strong>ed from <strong>the</strong> inputd<strong>at</strong>a.River discharge (which is an integr<strong>at</strong>ed signal of <strong>the</strong> runoff) is one of <strong>the</strong> most accur<strong>at</strong>elymeasured components of <strong>the</strong> hydrological cycle, but it is limited to selected loc<strong>at</strong>ions whereriver discharge is measured. A combin<strong>at</strong>ion of <strong>the</strong> w<strong>at</strong>er balance model estim<strong>at</strong>ed runoff andmeasured discharge has <strong>the</strong> potential to provide <strong>the</strong> most accur<strong>at</strong>e assessment of <strong>the</strong>terrestrial runoff and discharge in non-monitored sections of <strong>the</strong> river systems.The W<strong>at</strong>er Systems Analysis Group of <strong>the</strong> University of New Hampshire developed a simpletechnique to combine w<strong>at</strong>er balance model simul<strong>at</strong>ed runoff <strong>with</strong> measured discharge. Thedischarge monitoring st<strong>at</strong>ions are co-registered to gridded network, which allows <strong>the</strong>establishment of st<strong>at</strong>ion topology (i.e. <strong>the</strong> next st<strong>at</strong>ion downstream from each st<strong>at</strong>ion) and <strong>the</strong>deline<strong>at</strong>ion of inter-st<strong>at</strong>ion areas (<strong>the</strong> c<strong>at</strong>chment area between upstream gauges and <strong>the</strong>downstream st<strong>at</strong>ion). Correction to w<strong>at</strong>er balance model simul<strong>at</strong>ed runoff is applied in eachof <strong>the</strong> inter-st<strong>at</strong>ion regions to correct for inconsistency between simul<strong>at</strong>ed runoff andmeasured discharge. This technique was successfully applied <strong>at</strong> a global scale first using 30-minute network and discharge d<strong>at</strong>a from <strong>the</strong> Global Runoff D<strong>at</strong>a Centre, Koblenz, Germany.New regional versions of <strong>the</strong> composite runoff fields were developed recently for <strong>the</strong><strong>Amazon</strong> basin <strong>at</strong> 6' and 15' resolutions using clim<strong>at</strong>e forcings from various sources (such as<strong>the</strong> Clim<strong>at</strong>e Research Unit of University of East Anglia, <strong>the</strong> GEWEX Global Precipit<strong>at</strong>ionClim<strong>at</strong>ology Project) and river discharge d<strong>at</strong>a from Agência Nacional de Energia Elétrica(ANEEL). The new regional composite runoff fields were developed as a time series for <strong>the</strong>1979-99 period <strong>at</strong> monthly time steps. The composite runoff fields were aggreg<strong>at</strong>ed torepresent river discharge using a special routing scheme, which allows dischargeinterpol<strong>at</strong>ion between discharge gauges <strong>with</strong> <strong>the</strong> aid of <strong>the</strong> runoff fields. Such discharge fieldsprovide accur<strong>at</strong>e assessment of river discharge everywhere along <strong>the</strong> <strong>Amazon</strong> basins, whichis constrained by <strong>the</strong> measured discharge <strong>at</strong> gauging st<strong>at</strong>ions.The 6' and 15' minute networks and <strong>the</strong> composite runoff and discharge fields are to bereleased to <strong>the</strong> scientific community after rigorous testing. Fur<strong>the</strong>r development will focus onautom<strong>at</strong>ing <strong>the</strong> input d<strong>at</strong>a processing, so similar composite d<strong>at</strong>a products can be developedsemi real-time, when <strong>the</strong> input d<strong>at</strong>a (such as <strong>the</strong> clim<strong>at</strong>e forcings and <strong>the</strong> observed discharge)are available.

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