2022
DOI: 10.1016/j.ejrh.2022.101091
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Seasonal driving sources and hydrological-induced secular trend of the vertical displacement in North China

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Cited by 5 publications
(3 citation statements)
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“…The monthly gridded precipitation data, generated by interpolating 2472 rain gauge records [24,39], were downloaded from the China Meteorological Data Service Centre (http://data.cma.cn, accessed on 1 May 2023). These data were subjected to quality control and validated to have good applicability in China [24,29]. The bilinear interpolation method, a two-dimensional spatial interpolation algorithm, is easy to implement with full consideration of the information of the neighboring points, therefore it was used here to downscale the original spatial resolution of 0.5 • × 0.5 • to 0.25 • × 0.25 • , in order to match the TWSA spatial map [40].…”
Section: Hydrometeorological Datamentioning
confidence: 99%
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“…The monthly gridded precipitation data, generated by interpolating 2472 rain gauge records [24,39], were downloaded from the China Meteorological Data Service Centre (http://data.cma.cn, accessed on 1 May 2023). These data were subjected to quality control and validated to have good applicability in China [24,29]. The bilinear interpolation method, a two-dimensional spatial interpolation algorithm, is easy to implement with full consideration of the information of the neighboring points, therefore it was used here to downscale the original spatial resolution of 0.5 • × 0.5 • to 0.25 • × 0.25 • , in order to match the TWSA spatial map [40].…”
Section: Hydrometeorological Datamentioning
confidence: 99%
“…Given the good applicability of the leakage-correction method in North China, we therefore applied it to correct the TWSA derived from Tongji-GraceCom solutions. By using the least-squares harmonic analysis [23,29], the long-term spatial trends of TWSA changes were estimated. Meanwhile, those from CSR and JPL mascon solutions are also presented as further comparisons.…”
Section: Spatiotemporal Pattern Of Twsa In North Chinamentioning
confidence: 99%
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