Spatio-temporal evaluation of water storage trends from hydrological models over australia using grace mascon solutions

Yang，Xinchun1,2; Tian，Siyuan3; Feng，Wei4; Ran，Jiangjun5; You，Wei1; Jiang，Zhongshan1; Gong，Xiaoying1

2020-11-01

10.3390/rs12213578

Remote Sensing   影响因子和分区

2072-4292

The Gravity Recovery and Climate Experiment (GRACE) data have been extensively used to evaluate the total terrestrial water storage anomalies (TWSA) from hydrological models. However, which individual water storage components (i.e., soil moisture storage anomalies (SMSA) or groundwater water storage anomalies (GWSA)) cause the discrepancies in TWSA between GRACE and hydrological models have not been thoroughly investigated or quantified. In this study, we applied GRACE mass concentration block (mascon) solutions to evaluate the spatio-temporal TWSA trends (2003–2014) from seven prevailing hydrological models (i.e., Noah-3.6, Catchment Land Surface Model (CLSM-F2.5), Variable Infiltration Capacity macroscale model (VIC-4.1.2), Water—Global Assessment and Prognosis (WaterGAP-2.2d), PCRaster Global Water Balance (PCR-GLOBWB-2), Community Land Model (CLM-4.5), and Australian Water Resources Assessment Landscape model (AWRA-L v6)) in Australia and, more importantly, identified which individual water storage components lead to the differences in TWSA trends between GRACE and hydrological models. The results showed that all of the hydrological models employed in this study, except for CLM-4.5 model, underestimated the GRACE-derived TWSA trends. These underestimations can be divided into three categories: (1) ignoring GWSA, e.g., Noah-3.6 and VIC-4.1.2 models; (2) underrating both SMSA and GWSA, e.g., CLSM-F2.5, WaterGAP-2.2d, and PCR-GLOBWB-2 models; (3) deficiently modeling GWSA, e.g., AWRA-L v6 model. In comparison, CLM-4.5 model yielded the best agreement with GRACE but overstated the GRACE-derived TWSA trends due to the overestimation of GWSA. Our results underscore that GRACE mascon solutions can be used as a valuable and efficient validation dataset to evaluate the spatio-temporal performance of hydrological models. Confirming which individual water storage components result in the discrepancies in TWSA between GRACE and hydrological models can better assist in further hydrological model development.

GRACE mascon solutions Hydrological models Performance evaluation Trend difference in different water storage

SCI ; EI

英语

其他

20204509452826

Catchments ; Groundwater ; Digital storage ; Climate models ; Water resources

Meteorology:443 ; Water Resources:444 ; Groundwater:444.2 ; Soils and Soil Mechanics:483.1 ; Data Storage, Equipment and Techniques:722.1 ; Mathematics:921

2-s2.0-85094926344

Scopus

1.Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu,611756,China
2.School of Environment and Resource,Southwest University of Science and Technology,Mianyang,621010,China
3.Fenner School of Environment & Society,Australian National University,Canberra,2601,Australia
4.State Key Laboratory of Geodesy and Earth’s Dynamics,Institute of Geodesy and Geophysics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan,430077,China
5.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China

Yang，Xinchun,Tian，Siyuan,Feng，Wei,et al. Spatio-temporal evaluation of water storage trends from hydrological models over australia using grace mascon solutions[J]. Remote Sensing,2020,12(21):1-26.

Yang，Xinchun.,Tian，Siyuan.,Feng，Wei.,Ran，Jiangjun.,You，Wei.,...&Gong，Xiaoying.(2020).Spatio-temporal evaluation of water storage trends from hydrological models over australia using grace mascon solutions.Remote Sensing,12(21),1-26.

Yang，Xinchun,et al."Spatio-temporal evaluation of water storage trends from hydrological models over australia using grace mascon solutions".Remote Sensing 12.21(2020):1-26.