Land–Ocean–Atmosphere Influences on Groundwater Variability in the South Atlantic–Gulf Region

Hydrology

Kenneth W. Lamb¹  Neekita Joshi²  Ajay Kalra² 

[1] Department of Civil Engineering, California State Polytechnic University Pomona, Pomona, CA 91768, USA;School of Civil, Environmental and Infrastructure Engineering, Southern Illinois University, Carbondale, IL 62901, USA;

关键词: climate variability;    sea surface temperature (SST), GRACE;    groundwater variability;    singular value decomposition;    sea level changes;    ENSO;   

DOI  :  10.3390/hydrology7040071

来源: DOAJ

【 摘 要 】

Climate association between Groundwater Storage (GWS) and sea level changes have been missing from the Intergovernmental Panel on Climate Change, demanding a requisite study of their linkage and responses. Variability in the Hydrologic Unit Code—03 region, i.e., one of the major U.S. watersheds in the southeast caused by Sea Surface Temperature (SST) variability in the Pacific and Atlantic Ocean, was identified. Furthermore, the SST regions were identified to assess its relationship with GWS, sea level, precipitation, and terrestrial water storage. Temporal and spatial variability were obtained utilizing the singular value decomposition statistical method. A gridded GWS anomaly from the Gravity Recovery and Climate Experiment (GRACE) was used to understand the relationship with sea level and SST. The negative pockets of SST were negatively linked with GWS. The identification of teleconnections with groundwater may substantiate temporal patterns of groundwater variability. The results confirmed that the SST regions exhibited El Niño Southern Oscillation patterns, resulting in GWS changes. Moreover, a positive correlation between GWS and sea level was observed on the east coast in contrast to the southwestern United States. The findings highlight the importance of climate-driven changes in groundwater attributing changes in sea level. Therefore, SST could be a good predictor, possibly utilized for prior assessment of variabilities plus groundwater forecasting.

【 授权许可】

Unknown