Terrestrial Water Storage Change of European Russia and Its Impact on Water Balance

Grigor’ev, V. Yu.; Frolova, Natalia

doi:10.24057/2071-9388-2018-11-1-38-50

Cited by 8 publications

(4 citation statements)

References 28 publications

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“…Figure 11 indicates that the reconstructed TWSCs within the Ob and Yenisei River Basins do not contain considerable linear trends, and small trend values are detected within Dnieper, Danube, and Caspian-Volga as part of the European Russia. Grigoriev et al [104] analysed TWSC in the European part of Russia and found a non-significant reduction in the TWSC between 2002-2015, which was caused by a decline in surface and groundwater water storage.…”

Section: Mass Changes Over 2003-2018 Within the World's 33 Largest River Basinsmentioning

confidence: 99%

An Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data

et al. 2020

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Observing global terrestrial water storage changes (TWSCs) from (inter-)seasonal to (multi-)decade time-scales is very important to understand the Earth as a system under natural and anthropogenic climate change. The primary goal of the Gravity Recovery And Climate Experiment (GRACE) satellite mission (2002–2017) and its follow-on mission (GRACE-FO, 2018–onward) is to provide time-variable gravity fields, which can be converted to TWSCs with ∼ 300 km spatial resolution; however, the one year data gap between GRACE and GRACE-FO represents a critical discontinuity, which cannot be replaced by alternative data or model with the same quality. To fill this gap, we applied time-variable gravity fields (2013–onward) from the Swarm Earth explorer mission with low spatial resolution of ∼ 1500 km. A novel iterative reconstruction approach was formulated based on the independent component analysis (ICA) that combines the GRACE and Swarm fields. The reconstructed TWSC fields of 2003–2018 were compared with a commonly applied reconstruction technique and GRACE-FO TWSC fields, whose results indicate a considerable noise reduction and long-term consistency improvement of the iterative ICA reconstruction technique. They were applied to evaluate trends and seasonal mass changes (of 2003–2018) within the world’s 33 largest river basins.

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Section: Mass Changes Over 2003-2018 Within the World's 33 Largest River Basinsmentioning

confidence: 99%

An Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data

et al. 2020

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“…New results on rare elements, mineral composition and CO 2 and methane fluxes associated with ocean sediments have been attained (Maslov et al, 2018b;Yasunaka et al, 2018). This serves as important information for mitigation plans as well as for new estimates of the river runoff and discharge in Russian rivers into the Arctic seas (Grigoriev and Frolova, 2018;Agafonova et al, 2017).…”

Section: Future Research Needs From the System Perspectivesmentioning

confidence: 95%

Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective

et al. 2022

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Abstract. The Pan-Eurasian Experiment (PEEX) Science Plan, released in 2015, addressed a need for a holistic system understanding and outlined the most urgent research needs for the rapidly changing Arctic-boreal region. Air quality in China, together with the long-range transport of atmospheric pollutants, was also indicated as one of the most crucial topics of the research agenda. These two geographical regions, the northern Eurasian Arctic-boreal region and China, especially the megacities in China, were identified as a “PEEX region”. It is also important to recognize that the PEEX geographical region is an area where science-based policy actions would have significant impacts on the global climate. This paper summarizes results obtained during the last 5 years in the northern Eurasian region, together with recent observations of the air quality in the urban environments in China, in the context of the PEEX programme. The main regions of interest are the Russian Arctic, northern Eurasian boreal forests (Siberia) and peatlands, and the megacities in China. We frame our analysis against research themes introduced in the PEEX Science Plan in 2015. We summarize recent progress towards an enhanced holistic understanding of the land–atmosphere–ocean systems feedbacks. We conclude that although the scientific knowledge in these regions has increased, the new results are in many cases insufficient, and there are still gaps in our understanding of large-scale climate–Earth surface interactions and feedbacks. This arises from limitations in research infrastructures, especially the lack of coordinated, continuous and comprehensive in situ observations of the study region as well as integrative data analyses, hindering a comprehensive system analysis. The fast-changing environment and ecosystem changes driven by climate change, socio-economic activities like the China Silk Road Initiative, and the global trends like urbanization further complicate such analyses. We recognize new topics with an increasing importance in the near future, especially “the enhancing biological sequestration capacity of greenhouse gases into forests and soils to mitigate climate change” and the “socio-economic development to tackle air quality issues”.

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“…Moreover, overwhelming groundwater depletion due to unsustainable human water use such as irrigation is responsible for the increasing dryness at significant slopes, ranging from −0.09 to −0.12 yr −1 in southeastern and northern regions of Africa, eastern and central Europe, central Asia, north-ern China, and northern India (Rodell et al, 2009;Feng et al, 2013;Ramillien et al, 2014;Peña-Angulo et al, 2020;Xiong et al, 2022c). The decreasing TWS-DSI is also reported over European Russia because of the decline in the storage of surface and ground waters (Grigoriev and Frolova, 2018). Additionally, the significant decreases in TWS-DSI ranging from −0.09 to −0.12 yr −1 (p < 0.05) around the Caspian and Aral seas are seen, which are from the reductions of inflow discharge and precipitation as well as evapotranspiration increase (Zmijewski and Becker, 2014).…”

Section: Global Trends Of Dryness and Wetnessmentioning

confidence: 97%

Global evaluation of the “dry gets drier, and wet gets wetter” paradigm from a terrestrial water storage change perspective

Xiong

Chen²,

Yin³

2022

Hydrol. Earth Syst. Sci.

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Abstract. The “dry gets drier, and wet gets wetter” (DDWW) paradigm has been widely used to summarize the expected trends of the global hydrologic cycle under climate change. However, the paradigm is largely conditioned by choice of different metrics and datasets used and is still comprehensively unexplored from the perspective of terrestrial water storage anomalies (TWSAs). Considering the essential role of TWSAs in wetting and drying of the land system, here we built upon a large ensemble of TWSA datasets, including satellite-based products, global hydrological models, land surface models, and global climate models to evaluate the DDWW hypothesis during the historical (1985–2014) and future (2071–2100) periods under various scenarios with a 0.05 significance level (for trend estimates). We find that 11.01 %–40.84 % (range by various datasets) of global land confirms the DDWW paradigm, while 10.21 %–35.43 % of the area shows the opposite pattern during the historical period. In the future, the DDWW paradigm is still challenged, with the percentage supporting the pattern lower than 18 % and both the DDWW-validated and DDWW-opposed proportion increasing along with the intensification of emission scenarios. We show that the different choices of data sources can reasonably influence the test results up to a 4-fold difference. Our findings will provide insights and implications for global wetting and drying trends from the perspective of TWSA under climate change.

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Terrestrial Water Storage Change of European Russia and Its Impact on Water Balance

Cited by 8 publications

References 28 publications

An Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data

An Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data

Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective

Global evaluation of the “dry gets drier, and wet gets wetter” paradigm from a terrestrial water storage change perspective

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