Abstract

A better understanding of the spatiotemporal distribution of water resources is crucial for the sustainable development of hyper-arid regions. Here, we focus on the Arabian Peninsula (AP) and use remotely sensed data to (i) analyze the local climatology of total water storage (TWS), precipitation, and soil moisture; (ii) characterize their temporal variability and spatial distribution; and (iii) infer recent trends and change points within their time series. Remote sensing data for TWS, precipitation, and soil moisture are obtained from the Gravity Recovery and Climate Experiment (GRACE), the Tropical Rainfall Measuring Mission (TRMM), and the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E), respectively. The study relies on trend analysis, the modified Mann–Kendall test, and change point detection statistics. We first derive 10-year (2002–2011) seasonal averages from each of the datasets and intercompare their spatial organization. In the absence of large-scale in situ data, we then compare trends from GRACE TWS retrievals to in situ groundwater observations locally over the subdomain of the United Arab Emirates (UAE). TWS anomalies vary between −6.2 to 3.2 cm/month and −6.8 to −0.3 cm/month during the winter and summer periods, respectively. Trend analysis shows decreasing precipitation trends (−2.3 × 10−4 mm/day) spatially aligned with decreasing soil moisture trends (−1.5 × 10−4 g/cm3/month) over the southern part of the AP, whereas the highest decreasing TWS trends (−8.6 × 10−2 cm/month) are recorded over areas of excessive groundwater extraction in the northern AP. Interestingly, change point detection reveals increasing precipitation trends pre- and post-change point breaks over the entire AP region. Significant spatial dependencies are observed between TRMM and GRACE change points, particularly over Yemen during 2010, revealing the dominant impact of climatic changes on TWS depletion.

Highlights

  • The Arabian Peninsula (AP) has been experiencing a significant increase in water demand as a result of population growth, urbanization, and an overall increase in living standards

  • The algorithm applied for this product is the Version 7 Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA), which is a major improvement over the previous version 6, especially in terms of daily resolution [34]

  • The time-averaged spatial distribution of total water storage (TWS), precipitation, and soil moisture are obtained for winter (DJFM) and summer (JJAS) months during their common coverage period from 2002 to 2011

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Summary

Introduction

The Arabian Peninsula (AP) has been experiencing a significant increase in water demand as a result of population growth, urbanization, and an overall increase in living standards. An effective monitoring of hydrological processes and their dynamics at a regional scale should include a close examination of three main variables, namely, total water storage (TWS), precipitation, and soil moisture Inferring information on these key hydrological variables is challenging in remote and arid regions, including the AP [9,10,11,12]. Intercompared trends from GRACE, TRMM, and the merged soil moisture product from the European Space Agency–Essential Climate Variable (ESA-ECV), which includes AMSR-E among other active and passive products, to investigate the cause of declining TWS in large aquifer systems across the Middle East They attributed the observed TWS decline in the northern AP Aquifer System (APAS) to (i) the increased number of irrigation wells tapping the Saq aquifer (northern Saudi Arabia) to supply the expanding agricultural activity in the surrounding areas [19], and (ii) the limited compensation from rainfall infiltration and recharge. This makes the proposed analysis expandable to other ungauged watersheds where in situ observations are scarce or not available

Study Area
Remote Sensing Products
In-Situ Well Observations
Data Processing
Trend Analysis
Change Point Analysis
Spatial Analysis
GRACE Trends over the UAE and Comparisons to Well Data
Modified
Modified Mann–Kendall Test and Spatial Linear Trends
Spatially
Change Point Monitoring
Linear Trend Analysis
Conclusions

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