scholarly journals Assessment of simulated water balance for continental-scale river basins in an AMIP 2 simulation

2001 ◽  
Vol 106 (D14) ◽  
pp. 14827-14842 ◽  
Author(s):  
Vivek K. Arora



2021 ◽  
Vol 48 (5) ◽  
pp. 666-675
Author(s):  
O. N. Nasonova ◽  
Ye. M. Gusev ◽  
E. E. Kovalev ◽  
G. V. Ayzel ◽  
M. K. Chebanova


2019 ◽  
Vol 654 ◽  
pp. 1258-1269 ◽  
Author(s):  
S. Visakh ◽  
P.V. Raju ◽  
Sunil S. Kulkarni ◽  
P.G. Diwakar


Ecohydrology ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. e2072 ◽  
Author(s):  
Daniel Mercado-Bettín ◽  
Juan F. Salazar ◽  
Juan Camilo Villegas


2018 ◽  
Vol 66 (4) ◽  
pp. 393-403 ◽  
Author(s):  
Miriam Fendeková ◽  
Tobias Gauster ◽  
Lívia Labudová ◽  
Dana Vrablíková ◽  
Zuzana Danáčová ◽  
...  

Abstract Several quite severe droughts occurred in Europe in the 21st century; three of them (2003, 2012 and 2015) hit also Slovakia. The Standardized Precipitation Index (SPI) and Standardized Precipitation and Evapotranspiration Index (SPEI) were used for assessment of meteorological drought occurrence. The research was established on discharge time series representing twelve river basins in Slovakia within the period 1981–2015. Sequent Peak Algorithm method based on fixed threshold, three parametric Weibull and generalized extreme values distribution GEV, factor and multiple regression analyses were employed to evaluate occurrence and parameters of hydrological drought in 2003, 2011–2012 and 2015, and the relationship among the water balance components. Results showed that drought parameters in evaluated river basins of Slovakia differed in respective years, most of the basins suffered more by 2003 and 2012 drought than by the 2015 one. Water balance components analysis for the entire period 1931–2016 showed that because of continuously increasing air temperature and balance evapotranspiration there is a decrease of runoff in the Slovak territory.



2012 ◽  
Vol 9 (11) ◽  
pp. 13231-13249 ◽  
Author(s):  
E. Joetzjer ◽  
H. Douville ◽  
C. Delire ◽  
P. Ciais ◽  
B. Decharme ◽  
...  

Abstract. The present study compares three meteorological drought indices (scPDSI, SPI and SPEI respectively) and their ability to account for the variations of annual mean river discharge on both interannual and climate change timescales. The Standardized Runoff Index (SRI) is used as a proxy of river discharge. The Mississippi and Amazon river basins provide two contrasted testbeds for this analysis. All meteorological drought indices are derived from monthly 2-meter temperature and/or precipitation, using either gridded observations or outputs of a global climate model. The SPI based solely on precipitation is not outperformed by the SPEI (accounting for potential evapotranspiration) and the scPDSI (based on a simplified water balance) at detecting interannual SRI variations. Under increasing concentrations of greenhouse gases, the simulated response of the areal fraction in drought is highly index-dependent, suggesting that more physical water balance models are needed to account for the impact of global warming on hydrological droughts.





2021 ◽  
Vol 14 (12) ◽  
pp. 7223-7254
Author(s):  
Mary M. F. O'Neill ◽  
Danielle T. Tijerina ◽  
Laura E. Condon ◽  
Reed M. Maxwell

Abstract. Recent advancements in computational efficiency and Earth system modeling have awarded hydrologists with increasingly high-resolution models of terrestrial hydrology, which are paramount to understanding and predicting complex fluxes of moisture and energy. Continental-scale hydrologic simulations are, in particular, of interest to the hydrologic community for numerous societal, scientific, and operational benefits. The coupled hydrology–land surface model ParFlow–CLM configured over the continental United States (PFCONUS) has been employed in previous literature to study scale-dependent connections between water table depth, topography, recharge, and evapotranspiration, as well as to explore impacts of anthropogenic aquifer depletion to the water and energy balance. These studies have allowed for an unprecedented process-based understanding of the continental water cycle at high resolution. Here, we provide the most comprehensive evaluation of PFCONUS version 1.0 (PFCONUSv1) performance to date by comparing numerous modeled water balance components with thousands of in situ observations and several remote sensing products and using a range of statistical performance metrics for evaluation. PFCONUSv1 comparisons with these datasets are a promising indicator of model fidelity and ability to reproduce the continental-scale water balance at high resolution. Areas for improvement are identified, such as a positive streamflow bias at gauges in the eastern Great Plains, a shallow water table bias over many areas of the model domain, and low bias in seasonal total water storage amplitude, especially for the Ohio, Missouri, and Arkansas River basins. We discuss several potential sources for model bias and suggest that minimizing error in topographic processing and meteorological forcing would considerably improve model performance. Results here provide a benchmark and guidance for further PFCONUS model development, and they highlight the importance of concurrently evaluating all hydrologic components and fluxes to provide a multivariate, holistic validation of the complete modeled water balance.



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