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Influence of Precipitation Forcing Uncertainty on Hydrological Simulations with the NASA South Asia Land Data Assimilation System

Ghatak, Debjani ; Zaitchik, Benjamin ; Kumar, Sujay ; Matin, Mir A. ; Bajracharya, Birendra ; Hain, Christopher ; Anderson, Martha

Hydrology, 2018-12, Vol.5 (4), p.57 [Periódico revisado por pares]

Goddard Space Flight Center: MDPI

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Título:
Influence of Precipitation Forcing Uncertainty on Hydrological Simulations with the NASA South Asia Land Data Assimilation System
Autor: Ghatak, Debjani ; Zaitchik, Benjamin ; Kumar, Sujay ; Matin, Mir A. ; Bajracharya, Birendra ; Hain, Christopher ; Anderson, Martha
Assuntos: ALEXI ; APHRODITE ; Assimilation ; Atmospheric forcing ; Atmospheric precipitations ; CHIRPS ; Climate change ; Data assimilation ; Data collection ; Datasets ; Drought ; Earth Resources And Remote Sensing ; Estimates ; Evaluation ; Evapotranspiration ; GDAS ; Geographical distribution ; Geographical locations ; Ground stations ; Hindu Kush-Himalayan region ; Hydrological analysis ; Hydrology ; Indus ; Kosi ; Land information systems ; MERRA2 ; Mountains ; Precipitation ; Rain ; Rainfall ; Remote sensing ; River basins ; Satellites ; Simulation ; South Asia land data assimilation system (South Asia LDAS) ; Stream discharge ; Stream flow ; streamflow ; Uncertainty ; Water runoff ; Weather stations
É parte de: Hydrology, 2018-12, Vol.5 (4), p.57
Notas: GSFC-E-DAA-TN62215
GSFC
Goddard Space Flight Center
Descrição: Accurate meteorological estimates are critical for process-based hydrological simulationand prediction. This presents a significant challenge in mountainous Asia where in situmeteorological stations are limited and major river basins cross international borders. In thiscontext, remotely sensed and model-derived meteorological estimates are often necessary inputsfor distributed hydrological analysis. However, these datasets are difficult to evaluate on accountof limited access to ground data. In this case, the implications of uncertainty associated withprecipitation forcing for hydrological simulations is explored by driving the South Asia Land DataAssimilation System (South Asia LDAS) using a range of meteorological forcing products.MERRA2, GDAS, and CHIRPS produce a wide range of estimates for rainfall, which causes awidespread simulated streamflow and evapotranspiration. A combination of satellite-derived andlimited in situ data are applied to evaluate model simulations and, by extension, to constrain theestimates of precipitation. The results show that available gridded precipitation estimates based onin situ data may systematically underestimate precipitation in mountainous regions and thatperformance of gridded satellite-derived or modeled precipitation estimates varies systematicallyacross the region. Since no station-based data or product including station data is satisfactoryeverywhere, our results suggest that the evaluation of the hydrological simulation of streamflowand ET can be used as an indirect evaluation of precipitation forcing based on ground-basedproducts or in-situ data. South Asia LDAS produces reasonable evapotranspiration and streamflowwhen forced with appropriate meteorological forcing and the choice of meteorological forcingshould be made based on the geographical location as well as on the purpose of the simulations.
Editor: Goddard Space Flight Center: MDPI
Idioma: Inglês

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Influence of Precipitation Forcing Uncertainty on Hydrological Simulations with the NASA South Asia Land Data Assimilation System

Ghatak, Debjani ; Zaitchik, Benjamin ; Kumar, Sujay ; Matin, Mir A. ; Bajracharya, Birendra ; Hain, Christopher ; Anderson, Martha

Goddard Space Flight Center: MDPI

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