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Journal articles on the topic 'Terrestrial Water Storage'

Author: Grafiati

Published: 6 September 2023

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1

Kuehne, John, and Clark R. Wilson. "Terrestrial water storage and polar motion." Journal of Geophysical Research: Solid Earth 96, B3 (1991): 4337–45. http://dx.doi.org/10.1029/90jb02573.

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2

Savin, Igor Yu, and Bakhytnur S. Gabdullin. "Specifics of long-term dynamics of terrestrial water storage detected using GRACE satellite in Belgorod region." RUDN Journal of Agronomy and Animal Industries 15, no. 4 (2020): 363–74. http://dx.doi.org/10.22363/2312-797x-2020-15-4-363-374.

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GRACE monthly satellite data for the period from 2002 to 2016 were used to analyze the longterm dynamics of the terrestrial water storage in the Belgorod region of Russia. The correlation of satellite data with climatic water balance with a lag varying on the territory from 2 to 4 months was revealed. There was found a stable tendency to decrease in terrestrial water storage, and predominance of negative values on the territory of the Belgorod region since 2008. The minimum attains the lowest values in comparison with the whole studied period. However, seasonality of the changes is maintained

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3

Hirschi, Martin, and Sonia I. Seneviratne. "Basin-scale water-balance dataset (BSWB): an update." Earth System Science Data 9, no. 1 (2017): 251–58. http://dx.doi.org/10.5194/essd-9-251-2017.

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Abstract. This paper presents an update of a basin-scale diagnostic dataset of monthly variations in terrestrial water storage for large river basins worldwide (BSWB v2016, doi:10.5905/ethz-1007-82). Terrestrial water storage comprises all forms of water storage on land surfaces, and its seasonal and inter-annual variations are mostly determined by soil moisture, groundwater, snow cover, and surface water. The dataset presented is derived using a combined atmospheric and terrestrial water-balance approach with conventional streamflow measurements and reanalysis data of atmospheric moisture flu

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4

Trautmann, Tina, Sujan Koirala, Nuno Carvalhais, et al. "Understanding terrestrial water storage variations in northern latitudes across scales." Hydrology and Earth System Sciences 22, no. 7 (2018): 4061–82. http://dx.doi.org/10.5194/hess-22-4061-2018.

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Abstract. The GRACE satellites provide signals of total terrestrial water storage (TWS) variations over large spatial domains at seasonal to inter-annual timescales. While the GRACE data have been extensively and successfully used to assess spatio-temporal changes in TWS, little effort has been made to quantify the relative contributions of snowpacks, soil moisture, and other components to the integrated TWS signal across northern latitudes, which is essential to gain a better insight into the underlying hydrological processes. Therefore, this study aims to assess which storage component domin

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5

Trautmann, Tina, Sujan Koirala, Nuno Carvalhais, Andreas Güntner, and Martin Jung. "The importance of vegetation in understanding terrestrial water storage variations." Hydrology and Earth System Sciences 26, no. 4 (2022): 1089–109. http://dx.doi.org/10.5194/hess-26-1089-2022.

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Abstract. So far, various studies have aimed at decomposing the integrated terrestrial water storage variations observed by satellite gravimetry (GRACE, GRACE-FO) with the help of large-scale hydrological models. While the results of the storage decomposition depend on model structure, little attention has been given to the impact of the way that vegetation is represented in these models. Although vegetation structure and activity represent the crucial link between water, carbon, and energy cycles, their representation in large-scale hydrological models remains a major source of uncertainty. A

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6

Hatch, Mike. "Environmental geophysics/ Grace mapping of terrestrial water storage." Preview 2019, no. 202 (2019): 38–39. http://dx.doi.org/10.1080/14432471.2019.1671159.

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7

Balcerak, Ernie. "Predicting fire activity using terrestrial water storage data." Eos, Transactions American Geophysical Union 94, no. 21 (2013): 196. http://dx.doi.org/10.1002/2013eo210015.

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8

Chinnasamy, Pennan, and Revathi Ganapathy. "Long-term variations in water storage in Peninsular Malaysia." Journal of Hydroinformatics 20, no. 5 (2017): 1180–90. http://dx.doi.org/10.2166/hydro.2017.043.

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Abstract Information on ongoing climate change impacts on water availability is limited for Asian regions, particularly for Peninsular Malaysia. Annual flash floods are common during peak monsoon seasons, while the dry seasons are hit by droughts, leading to socio-economic stress. This study, for the first time, analyzed the long-term trends (14 years, from 2002 to 2014) in terrestrial water storage and groundwater storage for Peninsular Malaysia, using Gravity Recovery And Climate Experiment data. Results indicate a decline in net terrestrial and groundwater storage over the last decade. Spat

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9

Meng, Gaojia, Guofeng Zhu, Jiawei Liu, et al. "GRACE Data Quantify Water Storage Changes in the Shiyang River Basin, an Inland River in the Arid Zone." Remote Sensing 15, no. 13 (2023): 3209. http://dx.doi.org/10.3390/rs15133209.

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Global changes and human activities have significantly altered water cycle processes and water resource patterns in inland river basins in arid zones. New tools are needed to conduct more comprehensive and scientific assessments of basin water cycle processes and water resource patterns. Based on GRACE satellite and Landsat data, this study investigated terrestrial water storage changes and surface water area in the Shiyang River Drainage Basin from 2002 to 2021. It explored the effects of climate change and water conservancy construction on terrestrial water storage changes in the basin. The

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10

He, Yanfeng, Jinghua Xiong, Shenglian Guo, Sirui Zhong, Chuntao Yu, and Shungang Ma. "Using Multi-Source Data to Assess the Hydrologic Alteration and Extremes under a Changing Environment in the Yalong River Basin." Water 15, no. 7 (2023): 1357. http://dx.doi.org/10.3390/w15071357.

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Climate change and human activities are two important factors in the changing environment that affect the variability of the hydrological cycle and river regime in the Yalong River basin. This paper analyzed the hydrological alteration and extremes in the Yalong River basin based on multi-source satellite data, and projected the hydrological response under different future climate change scenarios using the CwatM hydrological model. The results show that: (1) The overall change in hydrological alteration at Tongzilin station was moderate during the period of 1998–2011 and severe during the per

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11

Hirschi, Martin, Sonia I. Seneviratne, and Christoph Schär. "Seasonal Variations in Terrestrial Water Storage for Major Midlatitude River Basins." Journal of Hydrometeorology 7, no. 1 (2006): 39–60. http://dx.doi.org/10.1175/jhm480.1.

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Abstract This paper presents a new diagnostic dataset of monthly variations in terrestrial water storage for 37 midlatitude river basins in Europe, Asia, North America, and Australia. Terrestrial water storage is the sum of all forms of water storage on land surfaces, and its seasonal and interannual variations are in principle determined by soil moisture, groundwater, snow cover, and surface water. The dataset is derived with the combined atmospheric and terrestrial water-balance approach using conventional streamflow measurements and atmospheric moisture convergence data from the ECMWF 40-yr

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12

Troch, Peter, Matej Durcik, Sonia Seneviratne, et al. "New data sets to estimate terrestrial water storage change." Eos, Transactions American Geophysical Union 88, no. 45 (2007): 469–70. http://dx.doi.org/10.1029/2007eo450001.

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13

Hamlington, B. D., J. T. Reager, H. Chandanpurkar, and K. ‐Y Kim. "Amplitude Modulation of Seasonal Variability in Terrestrial Water Storage." Geophysical Research Letters 46, no. 8 (2019): 4404–12. http://dx.doi.org/10.1029/2019gl082272.

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14

Kenea, Tadesse Tujuba, Jürgen Kusche, Seifu Kebede, and Andreas Güntner. "Forecasting terrestrial water storage for drought management in Ethiopia." Hydrological Sciences Journal 65, no. 13 (2020): 2210–23. http://dx.doi.org/10.1080/02626667.2020.1790564.

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15

Han, Shin-Chan, C. K. Shum, Christopher Jekeli, and Doug Alsdorf. "Improved estimation of terrestrial water storage changes from GRACE." Geophysical Research Letters 32, no. 7 (2005): n/a. http://dx.doi.org/10.1029/2005gl022382.

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16

Ndehedehe, Christopher E., Joseph L. Awange, Michael Kuhn, Nathan O. Agutu, and Yoichi Fukuda. "Climate teleconnections influence on West Africa's terrestrial water storage." Hydrological Processes 31, no. 18 (2017): 3206–24. http://dx.doi.org/10.1002/hyp.11237.

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17

Fersch, Benjamin, Harald Kunstmann, András Bárdossy, Balaji Devaraju, and Nico Sneeuw. "Continental-Scale Basin Water Storage Variation from Global and Dynamically Downscaled Atmospheric Water Budgets in Comparison with GRACE-Derived Observations." Journal of Hydrometeorology 13, no. 5 (2012): 1589–603. http://dx.doi.org/10.1175/jhm-d-11-0143.1.

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Abstract Since 2002, the Gravity Recovery and Climate Experiment (GRACE) has provided gravity-derived observations of variations in the terrestrial water storage. Because of the lack of suitable direct observations of large-scale water storage changes, a validation of the GRACE observations remains difficult. An approach that allows the evaluation of terrestrial water storage variations from GRACE by a comparison with those derived from aerologic water budgets using the atmospheric moisture flux divergence is presented. In addition to reanalysis products from the European Centre for Medium-Ran

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18

Fok, Hok Sum, and Yongxin Liu. "An Improved GPS-Inferred Seasonal Terrestrial Water Storage Using Terrain-Corrected Vertical Crustal Displacements Constrained by GRACE." Remote Sensing 11, no. 12 (2019): 1433. http://dx.doi.org/10.3390/rs11121433.

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Based on a geophysical model for elastic loading, the application potential of Global Positioning System (GPS) vertical crustal displacements for inverting terrestrial water storage has been demonstrated using the Tikhonov regularization and the Helmert variance component estimation since 2014. However, the GPS-inferred terrestrial water storage has larger resulting amplitudes than those inferred from satellite gravimetry (i.e., Gravity Recovery and Climate Experiment (GRACE)) and those simulated from hydrological models (e.g., Global Land Data Assimilation System (GLDAS)). We speculate that t

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19

Andrew, Robert L., Huade Guan, and Okke Batelaan. "Large-scale vegetation responses to terrestrial moisture storage changes." Hydrology and Earth System Sciences 21, no. 9 (2017): 4469–78. http://dx.doi.org/10.5194/hess-21-4469-2017.

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Abstract. The normalised difference vegetation index (NDVI) is a useful tool for studying vegetation activity and ecosystem performance at a large spatial scale. In this study we use the Gravity Recovery and Climate Experiment (GRACE) total water storage (TWS) estimates to examine temporal variability of the NDVI across Australia. We aim to demonstrate a new method that reveals the moisture dependence of vegetation cover at different temporal resolutions. Time series of monthly GRACE TWS anomalies are decomposed into different temporal frequencies using a discrete wavelet transform and analyse

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20

Xu, Min, Bai Sheng Ye, and Qiu Dong Zhao. "Terrestrial Water Storge Changes in the Tangnaihai Basin Measured by GRACE during 2003-2008, China." Applied Mechanics and Materials 316-317 (April 2013): 520–26. http://dx.doi.org/10.4028/www.scientific.net/amm.316-317.520.

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Abstract.The amount of water storage change in Tangnaihai basin is obtained by using monthly gravity field data, which is derived from GRACE satellite between 2003 and 2008, with Gaussian filter. Combined with the same time period monthly precipitation data of the regional meteorological stations, we analysis spatial-temporal variation trend of water storge change in Tangnaihai basin for nearly 6 years. Results show that the spatial distribution of water storge change in Tangnaihai basin has obvious difference,water storge change is more in west than in east area.Water storge change has obviou

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21

Pokhrel, Yadu, Farshid Felfelani, Yusuke Satoh, et al. "Global terrestrial water storage and drought severity under climate change." Nature Climate Change 11, no. 3 (2021): 226–33. http://dx.doi.org/10.1038/s41558-020-00972-w.

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22

Huang, Qingzhong, Qiang Zhang, Chong-Yu Xu, Qin Li, and Peng Sun. "Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors." Sustainability 11, no. 23 (2019): 6646. http://dx.doi.org/10.3390/su11236646.

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China is the largest agricultural country with the largest population and booming socio-economy, and hence, remarkably increasing water demand. In this sense, it is practically critical to obtain knowledge about spatiotemporal variations of the territorial water storage (TWS) and relevant driving factors. In this study, we attempted to investigate TWS changes in both space and time using the monthly GRACE (Gravity Recovery and Climate Experiment) data during 2003–2015. Impacts of four climate indices on TWS were explored, and these four climate indices are, respectively, El Niño Southern Oscil

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23

Lenk, Onur. "Satellite based estimates of terrestrial water storage variations in Turkey." Journal of Geodynamics 67 (July 2013): 106–10. http://dx.doi.org/10.1016/j.jog.2012.04.010.

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24

Ni, Shengnan, Jianli Chen, Clark R. Wilson, Jin Li, Xiaogong Hu, and Rong Fu. "Global Terrestrial Water Storage Changes and Connections to ENSO Events." Surveys in Geophysics 39, no. 1 (2017): 1–22. http://dx.doi.org/10.1007/s10712-017-9421-7.

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25

Lee, Sang-Il. "Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation." Journal of Water Resources and Ocean Science 3, no. 1 (2014): 5. http://dx.doi.org/10.11648/j.wros.20140301.12.

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26

Śliwińska, Justyna, Małgorzata Wińska, and Jolanta Nastula. "Terrestrial water storage variations and their effect on polar motion." Acta Geophysica 67, no. 1 (2018): 17–39. http://dx.doi.org/10.1007/s11600-018-0227-x.

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27

Lee, Hoontaek, Martin Jung, Nuno Carvalhais, et al. "Diagnosing modeling errors in global terrestrial water storage interannual variability." Hydrology and Earth System Sciences 27, no. 7 (2023): 1531–63. http://dx.doi.org/10.5194/hess-27-1531-2023.

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Abstract. Terrestrial water storage (TWS) is an integrative hydrological state that is key for our understanding of the global water cycle. The TWS observation from the GRACE missions has, therefore, been instrumental in the calibration and validation of hydrological models and understanding the variations in the hydrological storage. The models, however, still show significant uncertainties in reproducing observed TWS variations, especially for the interannual variability (IAV) at the global scale. Here, we diagnose the regions dominating the variance in globally integrated TWS IAV and the so

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28

Idowu and Zhou. "Performance Evaluation of a Potential Component of an Early Flood Warning System—A Case Study of the 2012 Flood, Lower Niger River Basin, Nigeria." Remote Sensing 11, no. 17 (2019): 1970. http://dx.doi.org/10.3390/rs11171970.

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Floods frequently occur in Nigeria. The catastrophic 2012 flood in Nigeria claimed 363 lives and affected about seven million people. A total loss of about 2.29 trillion Naira (7.2 billion US Dollars) was estimated. The effect of flooding in the country has been devastating because of sparse to no flood monitoring, and a lack of an effective early flood warning system in the country. Here, we evaluated the efficacy of using the Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage anomaly (TWSA) to evaluate the hydrological conditions of the Lower Niger River Basin (LNRB) i

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29

Tang, Qiuhong, Huilin Gao, Pat Yeh, Taikan Oki, Fengge Su, and Dennis P. Lettenmaier. "Dynamics of Terrestrial Water Storage Change from Satellite and Surface Observations and Modeling." Journal of Hydrometeorology 11, no. 1 (2010): 156–70. http://dx.doi.org/10.1175/2009jhm1152.1.

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Abstract Terrestrial water storage (TWS) is a fundamental component of the water cycle. On a regional scale, measurements of terrestrial water storage change (TWSC) are extremely scarce at any time scale. This study investigates the feasibility of estimating monthly-to-seasonal variations of regional TWSC from modeling and a combination of satellite and in situ surface observations based on water balance computations that use ground-based precipitation observations in both cases. The study area is the Klamath and Sacramento River drainage basins in the western United States (total area of abou

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30

Qiao, Baojin, Bingkang Nie, Changmao Liang, Longwei Xiang, and Liping Zhu. "Spatial Difference of Terrestrial Water Storage Change and Lake Water Storage Change in the Inner Tibetan Plateau." Remote Sensing 13, no. 10 (2021): 1984. http://dx.doi.org/10.3390/rs13101984.

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Water resources are rich on the Tibetan Plateau, with large amounts of glaciers, lakes, and permafrost. Terrestrial water storage (TWS) on the Tibetan Plateau has experienced a significant change in recent decades. However, there is a lack of research about the spatial difference between TWSC and lake water storage change (LWSC), which is helpful to understand the response of water storage to climate change. In this study, we estimate the change in TWS, lake water storage (LWS), soil moisture, and permafrost, respectively, according to satellite and model data during 2005−2013 in the inner Tib

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31

Yin, Dongqin, and Michael L. Roderick. "Inter-annual variability of the global terrestrial water cycle." Hydrology and Earth System Sciences 24, no. 1 (2020): 381–96. http://dx.doi.org/10.5194/hess-24-381-2020.

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Abstract. Variability of the terrestrial water cycle, i.e. precipitation (P), evapotranspiration (E), runoff (Q) and water storage change (ΔS) is the key to understanding hydro-climate extremes. However, a comprehensive global assessment for the partitioning of variability in P between E, Q and ΔS is still not available. In this study, we use the recently released global monthly hydrologic reanalysis product known as the Climate Data Record (CDR) to conduct an initial investigation of the inter-annual variability of the global terrestrial water cycle. We first examine global patterns in partit

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32

Chen, Zheng, Wenjie Wang, Weiguo Jiang, Mingliang Gao, Beibei Zhao, and Yunwei Chen. "The Different Spatial and Temporal Variability of Terrestrial Water Storage in Major Grain-Producing Regions of China." Water 13, no. 8 (2021): 1027. http://dx.doi.org/10.3390/w13081027.

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Irrigation is an important factor affecting the change of terrestrial water storage (TWS), especially in grain-producing areas. The Northeast China Plain (NECP), the Huang-Huai-Hai Plain (HHH) and the middle and lower reaches of the Yangtze River Basin Plain (YRB) are major grain-producing regions of China, with particular climate conditions, crops and irrigation schemes. However, there are few papers focusing on the different variation pattern of water storage between NECP, HHH and YRB. In this paper, the characteristics of terrestrial water storage anomaly (TWSA) and groundwater storage in t

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33

Wang, Xuanxuan, Liu Liu, Qiankun Niu, Hao Li, and Zongxue Xu. "Multiple Data Products Reveal Long-Term Variation Characteristics of Terrestrial Water Storage and Its Dominant Factors in Data-Scarce Alpine Regions." Remote Sensing 13, no. 12 (2021): 2356. http://dx.doi.org/10.3390/rs13122356.

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As the “Water Tower of Asia” and “The Third Pole” of the world, the Qinghai–Tibet Plateau (QTP) shows great sensitivity to global climate change, and the change in its terrestrial water storage has become a focus of attention globally. Differences in multi-source data and different calculation methods have caused great uncertainty in the accurate estimation of terrestrial water storage. In this study, the Yarlung Zangbo River Basin (YZRB), located in the southeast of the QTP, was selected as the study area, with the aim of investigating the spatio-temporal variation characteristics of terrestr

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34

Grigoriev, Vadim Yu, and Natalia L. Frolova. "TERRESTRIAL WATER STORAGE CHANGE OF EUROPEAN RUSSIA AND ITS IMPACT ON WATER BALANCE." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 11, no. 1 (2018): 38–50. http://dx.doi.org/10.24057/2071-9388-2018-11-1-38-50.

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35

Yılmaz, Yeliz, Kristoffer Aalstad, and Omer Sen. "Multiple Remotely Sensed Lines of Evidence for a Depleting Seasonal Snowpack in the Near East." Remote Sensing 11, no. 5 (2019): 483. http://dx.doi.org/10.3390/rs11050483.

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The snow-fed river basins of the Near East region are facing an urgent threat in the form of declining water resources. In this study, we analyzed several remote sensing products (optical, passive microwave, and gravimetric) and outputs of a meteorological reanalysis data set to understand the relationship between the terrestrial water storage anomalies and the mountain snowpack. The results from different satellite retrievals show a clear signal of a depletion of both water storage and the seasonal snowpack in four basins in the region. We find a strong reduction in terrestrial water storage

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36

Odinaev, Mirshakar, Zengyun Hu, Xi Chen, et al. "Dynamic Changes of Terrestrial Water Cycle Components over Central Asia in the Last Two Decades from 2003 to 2020." Remote Sensing 15, no. 13 (2023): 3318. http://dx.doi.org/10.3390/rs15133318.

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The terrestrial water cycle is important for the arid regions of central Asia (CA). In this study, the spatiotemporal variations in the three climate variables [temperature (TMP), precipitation (PRE), and potential evapotranspiration (PET)] and terrestrial water cycle components [soil moisture (SM), snow water equivalent (SWE), runoff, terrestrial water storage (TWS), and groundwater storage (GWS)] of CA are comprehensively analyzed based on multiple datasets from 2003 to 2020. The major results are as follows: (1) Significant decreasing trends were observed for the TWS anomaly (TWSA) and GWS

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37

Jiang, Dong, Jianhua Wang, Yaohuan Huang, Kang Zhou, Xiangyi Ding, and Jingying Fu. "The Review of GRACE Data Applications in Terrestrial Hydrology Monitoring." Advances in Meteorology 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/725131.

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The Gravity Recovery and Climate Experiment (GRACE) satellite provides a new method for terrestrial hydrology research, which can be used for improving the monitoring result of the spatial and temporal changes of water cycle at large scale quickly. The paper presents a review of recent applications of GRACE data in terrestrial hydrology monitoring. Firstly, the scientific GRACE dataset is briefly introduced. Recently main applications of GRACE data in terrestrial hydrological monitoring at large scale, including terrestrial water storage change evaluation, hydrological components of groundwate

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38

Zhang, Liangjing, Henryk Dobslaw, Tobias Stacke, Andreas Güntner, Robert Dill, and Maik Thomas. "Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations." Hydrology and Earth System Sciences 21, no. 2 (2017): 821–37. http://dx.doi.org/10.5194/hess-21-821-2017.

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Abstract. Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are used to assess the accuracy of four global numerical model realizations that simulate the continental branch of the global water cycle. Based on four different validation metrics, we demonstrate that for the 31 largest discharge basins worldwide all model runs agree with the observations to a very limited degree only, together with large spreads among the models themselves. Since we apply a common atmospheric forcing data set to all hydrological model

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39

He, Panxing, Zongjiu Sun, Zhiming Han, et al. "Divergent Trends of Water Storage Observed via Gravity Satellite across Distinct Areas in China." Water 12, no. 10 (2020): 2862. http://dx.doi.org/10.3390/w12102862.

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Knowledge of the spatiotemporal variations of terrestrial water storage (TWS) is critical for the sustainable management of water resources in China. However, this knowledge has not been quantified and compared for the different climate types and underlying surface characteristics. Here, we present observational evidence for the spatiotemporal dynamics of water storage based on the products from the Gravity Recovery and Climate Experiment (GRACE) and the Global Land Data Assimilation System (GLDAS) in China over 2003–2016. Our results were the following: (1) gravity satellite dataset showed di

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40

Li, Ya-wei, Yu-zhe Wang, Min Xu, and Shi-chang Kang. "Lake water storage change estimation and its linkage with terrestrial water storage change in the northeastern Tibetan Plateau." Journal of Mountain Science 18, no. 7 (2021): 1737–47. http://dx.doi.org/10.1007/s11629-020-6474-8.

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41

Nakaegawa, Tosiyuki, Keiko Yamamoto, Taichu Y. Tanaka, Takashi Hasegawa, and Yoichi Fukuda. "Investigation of temporal characteristics of terrestrial water storage changes and its comparison to terrestrial mass changes." Hydrological Processes 26, no. 16 (2012): 2470–81. http://dx.doi.org/10.1002/hyp.9392.

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42

Muskett, Reginald R. "GRACE, the Chandler Wobble and Interpretations of Terrestrial Water Transient Storage." International Journal of Geosciences 12, no. 02 (2021): 102–20. http://dx.doi.org/10.4236/ijg.2021.122007.

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43

Chen, Ajiao, Huade Guan, and Okke Batelaan. "Non-linear interactions between vegetation and terrestrial water storage in Australia." Journal of Hydrology 613 (October 2022): 128336. http://dx.doi.org/10.1016/j.jhydrol.2022.128336.

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44

Sun, A. Y., J. Chen, and J. Donges. "Global terrestrial water storage connectivity revealed using complex climate network analyses." Nonlinear Processes in Geophysics 22, no. 4 (2015): 433–46. http://dx.doi.org/10.5194/npg-22-433-2015.

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Abstract. Terrestrial water storage (TWS) exerts a key control in global water, energy, and biogeochemical cycles. Although certain causal relationship exists between precipitation and TWS, the latter quantity also reflects impacts of anthropogenic activities. Thus, quantification of the spatial patterns of TWS will not only help to understand feedbacks between climate dynamics and the hydrologic cycle, but also provide new insights and model calibration constraints for improving the current land surface models. This work is the first attempt to quantify the spatial connectivity of TWS using t

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Sun, A. Y., J. Chen, and J. Donges. "Global terrestrial water storage connectivity revealed using complex climate network analyses." Nonlinear Processes in Geophysics Discussions 2, no. 2 (2015): 781–809. http://dx.doi.org/10.5194/npgd-2-781-2015.

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Abstract. Terrestrial water storage (TWS) exerts a key control in global water, energy, and biogeochemical cycles. Although certain causal relationships exist between precipitation and TWS, the latter also reflects impacts of anthropogenic activities. Thus, quantification of the spatial patterns of TWS will not only help to understand feedbacks between climate dynamics and hydrologic cycle, but also provide new model calibration constraints for improving the current land surface models. In this work, the connectivity of TWS is quantified using the climate network theory, which has received bro

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46

Zhang, Xu, Jinbao Li, Zifeng Wang, and Qianjin Dong. "Global hydroclimatic drivers of terrestrial water storage changes in different climates." CATENA 219 (December 2022): 106598. http://dx.doi.org/10.1016/j.catena.2022.106598.

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47

Phillips, T., R. S. Nerem, Baylor Fox-Kemper, J. S. Famiglietti, and B. Rajagopalan. "The influence of ENSO on global terrestrial water storage using GRACE." Geophysical Research Letters 39, no. 16 (2012): n/a. http://dx.doi.org/10.1029/2012gl052495.

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48

Moiwo, Juana Paul, Fulu Tao, and Wenxi Lu. "Estimating soil moisture storage change using quasi-terrestrial water balance method." Agricultural Water Management 102, no. 1 (2011): 25–34. http://dx.doi.org/10.1016/j.agwat.2011.10.003.

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49

Xie, Yangyang, Shengzhi Huang, Saiyan Liu, et al. "GRACE-Based Terrestrial Water Storage in Northwest China: Changes and Causes." Remote Sensing 10, no. 7 (2018): 1163. http://dx.doi.org/10.3390/rs10071163.

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Abstract:

Monitoring variations in terrestrial water storage (TWS) is of great significance for the management of water resources. However, it remains a challenge to continuously monitor TWS variations using in situ observations and hydrological models because of a limited number of gauge stations and the complicated spatial distribution characteristics of TWS. In contrast, the Gravity Recovery and Climate Experiment (GRACE) could overcome the aforementioned restrictions, providing a new reliable means of observing TWS variation. Thus, GRACE was employed to investigate TWS variations in Northwest China

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50

Jing, Wenlong, Ling Yao, Xiaodan Zhao, et al. "Understanding Terrestrial Water Storage Declining Trends in the Yellow River Basin." Journal of Geophysical Research: Atmospheres 124, no. 23 (2019): 12963–84. http://dx.doi.org/10.1029/2019jd031432.

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