Academic literature on the topic 'Terrestrial Water Storage'

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Journal articles on the topic "Terrestrial Water Storage"

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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