149 related articles for article (PubMed ID: 35151739)
1. Reconstructing the data gap between GRACE and GRACE follow-on at the basin scale using artificial neural network.
Lai Y; Zhang B; Yao Y; Liu L; Yan X; He Y; Ou S
Sci Total Environ; 2022 Jun; 823():153770. PubMed ID: 35151739
[TBL] [Abstract][Full Text] [Related]
2. Reconstruction of GRACE terrestrial water storage anomalies using Multi-Layer Perceptrons for South Indian River basins.
Satish Kumar K; AnandRaj P; Sreelatha K; Sridhar V
Sci Total Environ; 2023 Jan; 857(Pt 2):159289. PubMed ID: 36209880
[TBL] [Abstract][Full Text] [Related]
3. Mapping terrestrial water storage changes in Canada using GRACE and GRACE-FO.
Fatolazadeh F; Goïta K
Sci Total Environ; 2021 Jul; 779():146435. PubMed ID: 34030259
[TBL] [Abstract][Full Text] [Related]
4. Bridging Terrestrial Water Storage Anomaly During GRACE/GRACE-FO Gap Using SSA Method: A Case Study in China.
Li W; Wang W; Zhang C; Wen H; Zhong Y; Zhu Y; Li Z
Sensors (Basel); 2019 Sep; 19(19):. PubMed ID: 31554328
[TBL] [Abstract][Full Text] [Related]
5. Overview of terrestrial water storage changes over the Indus River Basin based on GRACE/GRACE-FO solutions.
Zhu Y; Liu S; Yi Y; Xie F; Grünwald R; Miao W; Wu K; Qi M; Gao Y; Singh D
Sci Total Environ; 2021 Dec; 799():149366. PubMed ID: 34352463
[TBL] [Abstract][Full Text] [Related]
6. Bridging the gap between GRACE and GRACE-FO using a hydrological model.
Zhang X; Li J; Dong Q; Wang Z; Zhang H; Liu X
Sci Total Environ; 2022 May; 822():153659. PubMed ID: 35122864
[TBL] [Abstract][Full Text] [Related]
7. Long-term groundwater storage variations estimated in the Songhua River Basin by using GRACE products, land surface models, and in-situ observations.
Chen H; Zhang W; Nie N; Guo Y
Sci Total Environ; 2019 Feb; 649():372-387. PubMed ID: 30176450
[TBL] [Abstract][Full Text] [Related]
8. Joint Inversion of GNSS and GRACE for Terrestrial Water Storage Change in California.
Carlson G; Werth S; Shirzaei M
J Geophys Res Solid Earth; 2022 Mar; 127(3):e2021JB023135. PubMed ID: 35866034
[TBL] [Abstract][Full Text] [Related]
9. Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations.
Uz M; Atman KG; Akyilmaz O; Shum CK; Keleş M; Ay T; Tandoğdu B; Zhang Y; Mercan H
Sci Total Environ; 2022 Jul; 830():154701. PubMed ID: 35337878
[TBL] [Abstract][Full Text] [Related]
10. Water Level Reconstruction and Prediction Based on Space-Borne Sensors: A Case Study in the Mekong and Yangtze River Basins.
He Q; Fok HS; Chen Q; Chun KP
Sensors (Basel); 2018 Sep; 18(9):. PubMed ID: 30217044
[TBL] [Abstract][Full Text] [Related]
11. Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model.
Forootan E; Mehrnegar N; Schumacher M; Schiettekatte LAR; Jagdhuber T; Farzaneh S; van Dijk AIJM; Shamsudduha M; Shum CK
Sci Total Environ; 2024 Feb; 912():169476. PubMed ID: 38145671
[TBL] [Abstract][Full Text] [Related]
12. Tracking seasonal and monthly drought with GRACE-based terrestrial water storage assessments over major river basins in South India.
Satish Kumar K; Venkata Rathnam E; Sridhar V
Sci Total Environ; 2021 Apr; 763():142994. PubMed ID: 33129527
[TBL] [Abstract][Full Text] [Related]
13. +50 Years of Terrestrial Hydroclimatic Variability in Africa's Transboundary Waters.
Hasan E; Tarhule A; Zume JT; Kirstetter PE
Sci Rep; 2019 Aug; 9(1):12327. PubMed ID: 31444409
[TBL] [Abstract][Full Text] [Related]
14. Monitoring the spatio-temporal changes of terrestrial water storage using GRACE data in the Tarim River basin between 2002 and 2015.
Yang P; Xia J; Zhan C; Qiao Y; Wang Y
Sci Total Environ; 2017 Oct; 595():218-228. PubMed ID: 28384578
[TBL] [Abstract][Full Text] [Related]
15. Evaluating flood potential in the Mahanadi River Basin, India, using Gravity Recovery and Climate Experiment (GRACE) data and topographic flood susceptibility index under non-stationary framework.
Bhere S; Reddy MJ
Environ Sci Pollut Res Int; 2024 Mar; 31(11):17206-17225. PubMed ID: 38334925
[TBL] [Abstract][Full Text] [Related]
16. Drought analysis of the Haihe river basin based on GRACE terrestrial water storage.
Wang J; Jiang D; Huang Y; Wang H
ScientificWorldJournal; 2014; 2014():578372. PubMed ID: 25202732
[TBL] [Abstract][Full Text] [Related]
17. Increased Water Storage in the Qaidam Basin, the North Tibet Plateau from GRACE Gravity Data.
Jiao JJ; Zhang X; Liu Y; Kuang X
PLoS One; 2015; 10(10):e0141442. PubMed ID: 26506230
[TBL] [Abstract][Full Text] [Related]
18. A deep learning model for reconstructing centenary water storage changes in the Yangtze River Basin.
Wang J; Shen Y; Awange JL; Yang L
Sci Total Environ; 2023 Dec; 905():167030. PubMed ID: 37704127
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of Terrestrial Water Storage Changes and Major Driving Factors Analysis in Inner Mongolia, China.
Guo Y; Gan F; Yan B; Bai J; Xing N; Zhuo Y
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560032
[TBL] [Abstract][Full Text] [Related]
20. Characteristic mega-basin water storage behavior using GRACE.
Reager JT; Famiglietti JS
Water Resour Res; 2013 Jun; 49(6):3314-3329. PubMed ID: 24563556
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
