Evaluation of a model-based groundwater drought indicator in the conterminous U.S

• Published in: Journal of hydrology (Amsterdam) 2015-07, Vol.526, p.78-88
• Main Authors: Li, Bailing, Rodell, Matthew
• Format: Article
• Language: English
• Subjects: Bedrock; Correlation; Droughts; Earth Resources And Remote Sensing; GRACE (experiment); GRACE data assimilation; Groundwater; Groundwater drought indicator; Groundwater persistence; Groundwater temporal variability; Land; Meteorology And Climatology; Soil moisture; Water tables
• ISSN: 0022-1694; 1879-2707
• DOI: 10.1016/j.jhydrol.2014.09.027

[Display omitted] •Model based drought indices are more reliable at regional than local scales.•Groundwater drought correlates well with SPI on time scales of a year or more.•Groundwater persistence increases with depth to the water table.•Groundwater can impact soil moisture persistence where the water table is shallow.•GRACE data assimilation improves a model based groundwater drought indicator. Monitoring groundwater drought using land surface models is a valuable alternative given the current lack of systematic in situ measurements at continental and global scales and the low resolution of current remote sensing based groundwater data. However, uncertainties inherent to land surface models may impede drought detection, and thus should be assessed using independent data sources. In this study, we evaluated a groundwater drought index (GWI) derived from monthly groundwater storage output from the Catchment Land Surface Model (CLSM) using a GWI similarly derived from in situ groundwater observations. Groundwater observations were obtained from unconfined or semi-confined aquifers in eight regions of the central and northeastern U.S. Regional average GWI derived from CLSM exhibited strong correlation with that from observation wells, with correlation coefficients between 0.43 and 0.92. GWI from both in situ data and CLSM was generally better correlated with the Standard Precipitation Index (SPI) at 12 and 24month timescales than at shorter timescales, but it varied depending on climate conditions. The correlation between CLSM derived GWI and SPI generally decreases with increasing depth to the water table, which in turn depends on both bedrock depth (a CLSM parameter) and mean annual precipitation. The persistence of CLSM derived GWI is spatially varied and again shows a strong influence of depth to groundwater. CLSM derived GWI generally persists longer than GWI derived from in situ data, due at least in part to the inability of coarse model inputs to capture high frequency meteorological variability at local scales. The study also showed that groundwater can have a significant impact on soil moisture persistence where the water table is shallow. Soil moisture persistence was estimated to be longer in the eastern U.S. than in the west, in contrast to previous findings that were based on models that did not represent groundwater. Assimilation of terrestrial water storage data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission improv