A Novel Two‐Step Method for Enforcing Water Budget Closure and an Intercomparison of Budget Closure Correction Methods Based on Satellite Hydrological Products. Issue 3 (8th March 2023)

• Record Type: Journal Article
• Authors: Luo, Zengliang; Li, Huan; Zhang, Sihan; Wang, Lunche; Wang, Shaoqiang; Wang, Lizhe
• Is Part Of: Water resources research. Volume 59:Issue 3(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2023-03-08
• Subjects: satellite remote sensing -- terrestrial water budget -- water budget closure -- global hydrology; Hydrology -- Periodicals; 333.91
• DOI: 10.1029/2022WR032176
• Languages: English
• ISSNs: 0043-1397

Abstract

Abstract: Enforcing terrestrial water budget closure is critical for obtaining consistent data sets of budget components to understand the changes and availability of water resources over time. However, most existing budget closure correction methods (BCCs) are significantly affected by errors in the budget‐component products. Moreover, these existing BCCs do not fully account for the preselection of high‐precision input data sets before enforcing the water budget closure, resulting in uncertainties in the budget‐corrected data sets. In this study, a two‐step method was proposed to enforce the water budget closure of satellite‐based hydrological products. First, high‐precision budget‐component data sets were selected and second, the water budget closure of the selected high‐precision data sets was then enforced by proposing an improved BCC strategy, that is, the Minimized Series Deviation method (MSD). The performance of the proposed two‐step method was verified in 24 global basins by comparing it to three existing BCCs of varying complexity, that is, Proportional Redistribution (PR), Constrained Kalman Filter (CKF), and Multiple Collocation (MCL). The results showed that compared to the existing BCCs, the proposed two‐step method significantly improved the accuracy of budget‐corrected data sets in the range of 2%–19% (statistical analysis was based root mean square error (RMSE) and mean absolute error (MAE) with estimated observation (EO) as a reference). This study also summarized the main factors influencing the performance of the existing BCCs and their further development prospects based on the results. This provides insight into the expansion of theories and methods related to closing the terrestrial water budget. Key Points: A two‐step method was proposed for enforcing terrestrial water budget closure The method estimated errors of budget components using a portion of the time series instead of data at a single point in time The improvement of three existing budget closure correction methods increased by the range of 2%–19% based on verification in 24 global basins