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| Created: | Feb 20, 2022 at 1:22 p.m. | |
| Last updated: | Feb 20, 2022 at 1:48 p.m. | |
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| Content types: | Multidimensional Content |
| Sharing Status: | Public |
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Abstract
Numerous studies have examined the reliability of various precipitation products over the Mekong River Basin (MRB) and modeled its basin hydrology. However, there is a lack of comprehensive studies on precipitation-induced uncertainties in hydrological simulations using process-based land surface models. This study examines the propagation of precipitation uncertainty into hydrological simulations over the entire MRB using the Community Land Model version 5 (CLM5) at a high spatial resolution of 0.05° (~5 km) and without any parameter calibration. Simulations conducted using different precipitation datasets are compared to investigate the discrepancies in streamflow, terrestrial water storage (TWS), soil moisture, and evapotranspiration (ET) caused by precipitation uncertainty. Results indicate that precipitation is a key determinant of simulated streamflow in the MRB; peak flow and soil moisture are particularly sensitive to precipitation input. Further, precipitation data with a higher spatial resolution did not improve the simulations, contrary to the common perception that using meteorological forcing with higher spatial resolution would improve hydrological simulations. In addition, since high flow indicators are particularly influenced by precipitation data, the choice of precipitation data could directly impact flood pulse simulations in the MRB. Notable differences are also found among TWS, soil moisture, and ET simulated using different precipitation products. Moreover, TWS, soil moisture, and ET exhibit a varying degree of sensitivity to precipitation uncertainty. This study provides crucial insights on precipitation-induced uncertainties in process-based hydrological modeling and uncovers these uncertainties in the MRB.
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Readme.txt
Figure1_Data.nc file contains daily streamflow for 1979-2016 period (units, lat and lon are written inside file) Figure2_Data.xlsx file contains monthly streamflow at eight locations for 1979-2016 period (unit m3/sec) Figure3_Data.xlsx file contains monthly TWS, surface water storage and subsurface water storage for 2002-2016 period (unit mm) Figure4_Data.xlsx file contains Daily streamflow for 1998-2016 period (unit m3/sec) Figure5_Data.xlsx file contains monthly streamflow (simulated and observed)at eight locations for 1998-2016 period (unit m3/sec) Figure6_Data.nc file contains monthly TWS 2002-2016 period (units, lat and lon are written inside file) Figure7_Data.nc file contains monthly Evapotransiration and top 10 cm soil moisture for 2002-2016 period (units, lat and lon are written inside file) Figure8_Data.xlsx file contains monthly precipitation, runoff, soil moisture, TWS and Evapotransipration (for all precipitation data used )
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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