Comparative analysis of recent hydrological models and an attempt to generate new combined products for monitoring terrestrial water storage change
Hydrological models are crucial for characterizing large-scale water quantity variations and correcting GNSS reference station vertical displacements. We evaluated the robustness of multiple models, such as the Global Land Data Assimilation System (GLDAS), the Famine Early Warning System Network Lan...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2024-11-01
|
| Series: | Geodesy and Geodynamics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674984724000417 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850206374834733056 |
|---|---|
| author | Yang Lu Zhao Li Qusen Chen Meilin He Ze Wang Jian Wang Weiping Jiang |
| author_facet | Yang Lu Zhao Li Qusen Chen Meilin He Ze Wang Jian Wang Weiping Jiang |
| author_sort | Yang Lu |
| collection | DOAJ |
| description | Hydrological models are crucial for characterizing large-scale water quantity variations and correcting GNSS reference station vertical displacements. We evaluated the robustness of multiple models, such as the Global Land Data Assimilation System (GLDAS), the Famine Early Warning System Network Land Data Assimilation System (FLDAS), the National Centers for Environmental Prediction (NCEP), and the WaterGAP Global Hydrology Model (WGHM). Inter-model and outer comparisons with Global Positioning System (GPS) coordinate time series, satellite gravity field Mascon solutions, and Global Precipitation Climatology Centre (GPCC) guide our assessment. Results confirm WGHM's 26% greater effectiveness in correcting nonlinear variations in GPS height time series compared to NCEP. In the Amazon River Basin, a 5-month lag between FLDAS, GLDAS, and satellite gravity results is observed. In eastern Asia and Australia, NCEP's Terrestrial Water Storage Changes (TWSC)-derived surface displacements correlate differently with precipitation compared to other models. Three combined hydrological models (H-VCE, H-EWM, and H-CVM) utilizing Variance Component Estimation (VCE), Entropy Weight Method (EWM), and Coefficient of Variation Method (CVM) are formulated. Correcting nonlinear variations with combined models enhances global GPS height scatter by 15%–17%. Correlation with precipitation increases by 25%–30%, and with satellite gravity, rises from 0.2 to 0.8 at maximum. The combined model eliminates time lag in the Amazon Basin TWSC analysis, exhibiting a four times higher signal-to-noise ratio than single models. H-VCE demonstrates the highest accuracy. In summary, the combined hydrological model minimizes discrepancies among individual models, significantly improving accuracy for monitoring large-scale TWSC. |
| format | Article |
| id | doaj-art-d80aa464e492422798ab06aed8bd0b92 |
| institution | OA Journals |
| issn | 1674-9847 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Geodesy and Geodynamics |
| spelling | doaj-art-d80aa464e492422798ab06aed8bd0b922025-08-20T02:10:52ZengKeAi Communications Co., Ltd.Geodesy and Geodynamics1674-98472024-11-0115661662610.1016/j.geog.2024.04.008Comparative analysis of recent hydrological models and an attempt to generate new combined products for monitoring terrestrial water storage changeYang Lu0Zhao Li1Qusen Chen2Meilin He3Ze Wang4Jian Wang5Weiping Jiang6GNSS Research Center, Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, ChinaCorresponding author.; GNSS Research Center, Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, ChinaGNSS Research Center, Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, ChinaGNSS Research Center, Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, ChinaGNSS Research Center, Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, ChinaGNSS Research Center, Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, ChinaGNSS Research Center, Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, ChinaHydrological models are crucial for characterizing large-scale water quantity variations and correcting GNSS reference station vertical displacements. We evaluated the robustness of multiple models, such as the Global Land Data Assimilation System (GLDAS), the Famine Early Warning System Network Land Data Assimilation System (FLDAS), the National Centers for Environmental Prediction (NCEP), and the WaterGAP Global Hydrology Model (WGHM). Inter-model and outer comparisons with Global Positioning System (GPS) coordinate time series, satellite gravity field Mascon solutions, and Global Precipitation Climatology Centre (GPCC) guide our assessment. Results confirm WGHM's 26% greater effectiveness in correcting nonlinear variations in GPS height time series compared to NCEP. In the Amazon River Basin, a 5-month lag between FLDAS, GLDAS, and satellite gravity results is observed. In eastern Asia and Australia, NCEP's Terrestrial Water Storage Changes (TWSC)-derived surface displacements correlate differently with precipitation compared to other models. Three combined hydrological models (H-VCE, H-EWM, and H-CVM) utilizing Variance Component Estimation (VCE), Entropy Weight Method (EWM), and Coefficient of Variation Method (CVM) are formulated. Correcting nonlinear variations with combined models enhances global GPS height scatter by 15%–17%. Correlation with precipitation increases by 25%–30%, and with satellite gravity, rises from 0.2 to 0.8 at maximum. The combined model eliminates time lag in the Amazon Basin TWSC analysis, exhibiting a four times higher signal-to-noise ratio than single models. H-VCE demonstrates the highest accuracy. In summary, the combined hydrological model minimizes discrepancies among individual models, significantly improving accuracy for monitoring large-scale TWSC.http://www.sciencedirect.com/science/article/pii/S1674984724000417Hydrological modelVariance component estimationGPSGPCCSatellite gravity field MasconTerrestrial water storage changes |
| spellingShingle | Yang Lu Zhao Li Qusen Chen Meilin He Ze Wang Jian Wang Weiping Jiang Comparative analysis of recent hydrological models and an attempt to generate new combined products for monitoring terrestrial water storage change Geodesy and Geodynamics Hydrological model Variance component estimation GPS GPCC Satellite gravity field Mascon Terrestrial water storage changes |
| title | Comparative analysis of recent hydrological models and an attempt to generate new combined products for monitoring terrestrial water storage change |
| title_full | Comparative analysis of recent hydrological models and an attempt to generate new combined products for monitoring terrestrial water storage change |
| title_fullStr | Comparative analysis of recent hydrological models and an attempt to generate new combined products for monitoring terrestrial water storage change |
| title_full_unstemmed | Comparative analysis of recent hydrological models and an attempt to generate new combined products for monitoring terrestrial water storage change |
| title_short | Comparative analysis of recent hydrological models and an attempt to generate new combined products for monitoring terrestrial water storage change |
| title_sort | comparative analysis of recent hydrological models and an attempt to generate new combined products for monitoring terrestrial water storage change |
| topic | Hydrological model Variance component estimation GPS GPCC Satellite gravity field Mascon Terrestrial water storage changes |
| url | http://www.sciencedirect.com/science/article/pii/S1674984724000417 |
| work_keys_str_mv | AT yanglu comparativeanalysisofrecenthydrologicalmodelsandanattempttogeneratenewcombinedproductsformonitoringterrestrialwaterstoragechange AT zhaoli comparativeanalysisofrecenthydrologicalmodelsandanattempttogeneratenewcombinedproductsformonitoringterrestrialwaterstoragechange AT qusenchen comparativeanalysisofrecenthydrologicalmodelsandanattempttogeneratenewcombinedproductsformonitoringterrestrialwaterstoragechange AT meilinhe comparativeanalysisofrecenthydrologicalmodelsandanattempttogeneratenewcombinedproductsformonitoringterrestrialwaterstoragechange AT zewang comparativeanalysisofrecenthydrologicalmodelsandanattempttogeneratenewcombinedproductsformonitoringterrestrialwaterstoragechange AT jianwang comparativeanalysisofrecenthydrologicalmodelsandanattempttogeneratenewcombinedproductsformonitoringterrestrialwaterstoragechange AT weipingjiang comparativeanalysisofrecenthydrologicalmodelsandanattempttogeneratenewcombinedproductsformonitoringterrestrialwaterstoragechange |