The Global Water Cycle Budget: A Chronological Review

Godoy, Mijael Rodrigo Vargas; Markonis, Yannis; Hanel, Martin; Kyselý, Jan; Papalexiou, S.

doi:10.1007/s10712-021-09652-6

Cited by 18 publications

(5 citation statements)

References 188 publications

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“…Additionally, anthropogenic factors such as agricultural water use and industrial expansion, reservoir management, deforestation, and wetland drainage have not only quickened the pace of land transformation, but have also contributed to, often unpredictable, changes in the water, energy, and carbon cycles (Haddeland et al., 2014; McDonald et al., 2011; Mehran et al., 2017; Vorosmarty & Sahagian, 2000; Wood et al., 1997). Given the urgent need to understand the variability in water cycle fluxes, there have been several efforts to develop inventories of key water cycle fluxes (L’Ecuyer et al., 2015; Rodell et al., 2015; Trenberth et al., 2007; Vargas Godoy et al., 2021). The combined use of modeling and remote sensing estimates of water and energy states and fluxes is a key feature of these studies, which typically report closure of water and energy budgets with relatively small residuals and uncertainty (

\sim

4%–8%) at coarse (monthly or larger) temporal scales.…”

Section: Introduction and Premisementioning

confidence: 99%

An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space

Kumar

Kolassa

Reichle

et al. 2022

J Adv Model Earth Syst

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The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation conditions is challenging due to the significant complexity and heterogeneity of these conditions, all of which are impacted by climate change and anthropogenic activities. To address this challenge, Earth Observations (EOs) of the land and their utilization within data assimilation (DA) systems are vital. Satellite EOs are particularly relevant, as they offer quasi‐global coverage, are non‐intrusive, and provide uniformity, rapid measurements, and continuity. The past three decades have seen unprecedented growth in the number and variety of land remote sensing technologies launched by space agencies and commercial companies around the world. There have also been significant developments in land modeling and DA systems to provide tools that can exploit these measurements. Despite these advances, several important gaps remain in current land DA research and applications. This paper discusses these gaps, particularly in the context of using DA to improve model states for short‐term numerical weather and sub‐seasonal to seasonal predictions. We outline an agenda for land DA priorities so that the next generation of land DA systems will be better poised to take advantage of the significant current and anticipated shifts and advancements in remote sensing, modeling, computational technologies, and hardware resources.

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\sim

4%–8%) at coarse (monthly or larger) temporal scales.…”

Section: Introduction and Premisementioning

confidence: 99%

An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space

Kumar

Kolassa

Reichle

et al. 2022

J Adv Model Earth Syst

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“…The natural water cycle is the basis for the formation of regional physical water resources and provides water resources for the social and trade water cycles. Researchers have already conducted a lot of studies on the change process (Chandanpurkar et al, 2021; Kim & Lakshmi, 2019; Wang et al, 2019; Zhan et al, 2019), change rule and driving forces (Berghuijs et al, 2017; Godoy et al, 2021; Hamlington et al, 2019; Moustakis et al, 2022), and response to climate change (Fan et al, 2022; Pan et al, 2017; Xuan et al, 2021; Zappa, 2019) of each element of the natural water cycle. Unlike the natural water cycle, the social and trade water cycles are primarily human‐driven to sustain the development of human socio‐economic systems, which can also be collectively referred to as the socio‐economic system water cycle (Wang et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Based on the ternary feature of ‘nature–artificiality–virtual water’ in the water cycle, for the first time, the ‘nature–society–trade’ ternary water cycle model driven commonly by the three forces of nature, artificiality and economy was proposed by Deng et al (2020), but not much has been done in terms of model empirical research. In summary, there are many studies on natural water cycle (Berghuijs et al, 2017; Chandanpurkar et al, 2021; Godoy et al, 2021; Zhan et al, 2019), ‘nature–artificiality’ binary water cycle, social water cycle and virtual water trade (Liu et al, 2021; Wang et al, 2014; Yang et al, 2012), but few researchers take the ‘nature–society–trade’ ternary water cycle as a system to conduct empirical studies on the formation of regional water resources and its cyclic transformation process (Deng et al, 2020). In addition, at present, many studies on the water cycle in arid inland river basin areas are mostly at the aspect of natural water cycle (Kulaixi et al, 2023; Wang et al, 2023; Xie et al, 2022), and our study is also instructive for water resources management in arid inland river basin areas.…”

Section: Introductionmentioning

confidence: 99%

The ternary water cycle of ‘nature–society–trade’ in the inland arid areas

Ma,

Xie,

et al. 2024

Hydrological Processes

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Water cycle is important for maintaining the dynamic balance of regional water resources. Here, based on the input–output water circulation flux accounting model, we take Xinjiang as a case area to empirically explore the mechanism of the ‘nature‐society‐trade’ ternary water cycle. The results show that the water transferred out was much larger than the transferred in in Xinjiang. The scale of water resources development and utilization and the social water cycle fluxes have been constantly expanding, but there was a mismatch between the hydrological system and the socio‐economic system in terms of water resource utilization. From 2007 to 2017, agriculture had always been the department with the largest amount of direct water consumption and virtual water transfer in Xinjiang, which mainly transferred virtual water to the light industry and service sector where the production of final products requires large amounts of agricultural products as raw materials or intermediate products. In Xinjiang, the virtual water transferred outside through trade in products and services was much larger than the virtual water transferred in from other regions, and it was thus always in a state of net virtual water outflow as a whole. In inter‐provincial trade of China, Xinjiang mainly transferred virtual water to areas with abundant water resources, developed economies and dense populations in eastern China. Lastly, we put forward targeted suggestions on the optimal allocation of water resources to promote the sustainable development of Xinjiang and we hope that our study will be instructive for water resources management in other arid inland river basins.

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“…In this manner, a simpler and more efficient method has been developed to determine the TWF, that is, directly solving the derivative of TWS with respect to time [8,9]. During the last two decades, GRACE-based time-variable gravity field models with various temporal and spatial resolutions have been widely applied to estimate the changes in TWS and TWF, and the accuracy has been verified to be sufficiently reliable in global [13,[16][17][18][19] and representative regions [9][10][11]20,21]. The multifaceted applications of GRACE in North China have also scored tremendous achievements.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Terrestrial Water Storage and Flux in North China by Using GRACE Combined Gravity Field Solutions and Hydrometeorological Models

et al. 2023

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To enrich the understanding of the dynamic evolution of the water resources in North China, terrestrial water storage anomalies (TWSA) from January 2003 to June 2017 are derived using the new GRACE time-variable gravity field model Tongji-GraceCom. Additionally, the spatiotemporal characteristics of terrestrial water fluxes (TWF) at multiple time scales are analyzed based on the water budget theory in conjunction with hydrometeorological and statistical data. The results show that the quality of the Tongji-GraceCom model is superior to the state-of-art spherical harmonic models (CSR RL06 and JPL RL06), with the signal-to-noise ratio improving by 10–16%. After correcting the leakage errors with a reliable correction method, the inferred TWSA in North China presents a significant downward trend, amounting to −1.61 ± 0.05 cm/yr, with the most serious TWSA depletion mainly clustering in the south-central area. The TWFs derived from GRACE and from hydrometeorological elements are in good agreement and both exhibit significant seasonal fluctuations induced by tracking the periodic movements of meteorological factors. However, unlike precipitation which manifests in an increasing trend, both TWFs reflect the obvious decreasing trends, indicating that North China is suffering from severe water deficits, which are mainly attributed to the enhanced evaporation and extensive groundwater pumping for agricultural irrigation.

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The Global Water Cycle Budget: A Chronological Review

Cited by 18 publications

References 188 publications

An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space

An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space

The ternary water cycle of ‘nature–society–trade’ in the inland arid areas

Evaluation of Terrestrial Water Storage and Flux in North China by Using GRACE Combined Gravity Field Solutions and Hydrometeorological Models

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