47 citations as recorded by crossref.

1. Land surface phenology in the highland pastures of montane Central Asia: Interactions with snow cover seasonality and terrain characteristics M. Tomaszewska et al. https://doi.org/10.1016/j.rse.2020.111675
2. Warming-induced monsoon precipitation phase change intensifies glacier mass loss in the southeastern Tibetan Plateau A. Jouberton et al. https://doi.org/10.1073/pnas.2109796119
3. On the relationship of climatic and monsoon teleconnections with monthly precipitation over meteorologically homogenous regions in India: Wavelet & global coherence approaches J. Das et al. https://doi.org/10.1016/j.atmosres.2020.104889
4. Estimating the spatial and model uncertainties in yielding extreme rainfall return levels across India P. Posa & R. Bhowmik https://doi.org/10.1016/j.ejrh.2025.102442
5. Climate and rivers G. McGregor https://doi.org/10.1002/rra.3508
6. Identifying ENSO-related interannual and decadal variability on terrestrial water storage S. Cheon et al. https://doi.org/10.1038/s41598-021-92729-4
7. Remote Impacts from El Niño and La Niña on Climate Variables and Major Crops Production in Coastal Bangladesh M. Sattar et al. https://doi.org/10.3390/atmos12111449
8. Recent drying of the Ganga River is unprecedented in the last 1,300 years D. Singh Chuphal et al. https://doi.org/10.1073/pnas.2424613122
9. Global linkages between teleconnection patterns and the terrestrial biosphere K. Dahlin & T. Ault https://doi.org/10.1016/j.jag.2018.02.017
10. Spatiotemporal changes of glacier and seasonal snow fluctuations over the Namcha Barwa–Gyala Peri massif using object-based classification from Landsat time series S. Guo et al. https://doi.org/10.1016/j.isprsjprs.2021.04.018
11. Spatiotemporal Distribution of Droughts in the Xijiang River Basin, China and Its Responses to Global Climatic Events J. Qiu et al. https://doi.org/10.3390/w9040265
12. Increasing spatially co-occurring droughts or pluvials in global major rivers during 1950–2014 Q. Luo et al. https://doi.org/10.1016/j.accre.2026.06.021
13. Prediction of Climate Change Induced Temperature & Precipitation: The Case of Iran S. Saymohammadi et al. https://doi.org/10.3390/su9010146
14. Flood-Pulse Variability and Climate Change Effects Increase Uncertainty in Fish Yields: Revisiting Narratives of Declining Fish Catches in India’s Ganga River N. Kelkar et al. https://doi.org/10.3390/hydrology9040053
15. Surface Water Storage in Rivers and Wetlands Derived from Satellite Observations: A Review of Current Advances and Future Opportunities for Hydrological Sciences F. Papa & F. Frappart https://doi.org/10.3390/rs13204162
16. Space- and time-varying associations between Bangladesh’s seasonal rainfall and large-scale climate oscillations K. Mahmud & C. Chen https://doi.org/10.1007/s00704-021-03697-8
17. Detecting the spatiotemporal evolution, mutation characteristics and dominant drivers of vegetation drought in the Yangtze River Basin, China F. Wang et al. https://doi.org/10.1016/j.agwat.2026.110388
18. A century-long streamflow reconstruction reveals significant streamflow increases in the upper Yangtze River basin J. Hu et al. https://doi.org/10.1016/j.catena.2025.108774
19. Multivariate drought analysis for the temperature homogeneous regions of India: Lessons from the Gomati River basin D. Bhatt et al. https://doi.org/10.1002/met.2044
20. Assessing regional climate simulations of the last 30 years (1982–2012) over Ganges–Brahmaputra–Meghna River Basin . Khandu et al. https://doi.org/10.1007/s00382-016-3457-0
21. A long-term monthly surface water storage dataset for the Congo basin from 1992 to 2015 B. Kitambo et al. https://doi.org/10.5194/essd-15-2957-2023
22. Fifteen Years (1993–2007) of Surface Freshwater Storage Variability in the Ganges-Brahmaputra River Basin Using Multi-Satellite Observations E. Salameh et al. https://doi.org/10.3390/w9040245
23. Trends, variability, and teleconnections of long-term rainfall in the Terai region of India S. Sah et al. https://doi.org/10.1007/s00704-020-03421-y
24. Differential Heating in the Indian Ocean Differentially Modulates Precipitation in the Ganges and Brahmaputra Basins M. Pervez & G. Henebry https://doi.org/10.3390/rs8110901
25. A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance M. Thomas et al. https://doi.org/10.1109/JSTARS.2023.3244098
26. Decreasing spatial variability of drought in southwest China during 1959–2013 M. Liu et al. https://doi.org/10.1002/joc.5109
27. A Hydroclimatological Analysis of Precipitation in the Ganges–Brahmaputra–Meghna River Basin S. Curtis et al. https://doi.org/10.3390/w10101359
28. Global Modeling of Seasonal Mortality Rates From River Floods L. Alfieri et al. https://doi.org/10.1029/2020EF001541
29. Variations of phytoplankton chlorophyll in the Bay of Bengal: Impact of climate changes and nutrients from different sources E. Siswanto et al. https://doi.org/10.3389/fmars.2023.1052286
30. Reconstructed eight-century streamflow in the Tibetan Plateau reveals contrasting regional variability and strong nonstationarity Y. Wu et al. https://doi.org/10.1038/s41467-022-34221-9
31. Drivers, changes, and impacts of hydrological extremes in India: A review V. Mishra et al. https://doi.org/10.1002/wat2.1742
32. Causes and Mitigation of Flooding in the Brahmaputra River Basin: A Systematic Review G. Vangala & V. Mishra https://doi.org/10.1002/wat2.70063
33. Bayesian Modeling of Flood Frequency Analysis in Bangladesh Using Hamiltonian Monte Carlo Techniques M. Alam et al. https://doi.org/10.3390/w10070900
34. Tracking states and transitions in semiarid rangelands: A spatiotemporal archetypal analysis of productivity dynamics using wavelets O. Bruzzone et al. https://doi.org/10.1016/j.rse.2024.114203
35. Comparative evaluation of meteorological and hydrological drought using stationary and non-stationary indices in a semi-arid river basin in India A. Sajeev & S. Kundapura https://doi.org/10.1007/s11069-024-06739-2
36. Land Surface Phenology and Seasonality Using Cool Earthlight in Croplands of Eastern Africa and the Linkages to Crop Production W. Alemu & G. Henebry https://doi.org/10.3390/rs9090914
37. Exploring climate shifts in the Ganga–Brahmaputra basin based on rainfall and temperature variability K. Kaushik et al. https://doi.org/10.1007/s10661-024-13041-y
38. Precipitation and Flow Variations in the Lancang–Mekong River Basin and the Implications of Monsoon Fluctuation and Regional Topography X. Fan & X. Luo https://doi.org/10.3390/w11102086
39. Time-series analysis of chlorophyll-a, sea surface temperature, and sea surface height anomalies during 2003–2014 with special reference to El Niño, La Niña, and Indian Ocean Dipole (IOD) Years K. Devi & R. Sarangi https://doi.org/10.1080/01431161.2017.1343511
40. Exploring the influence of precipitation extremes and human water use on total water storage (TWS) changes in the Ganges‐Brahmaputra‐Meghna River Basin . Khandu et al. https://doi.org/10.1002/2015WR018113
41. Bias correction of a gauge-based gridded product to improve extreme precipitation analysis in the Yarlung Tsangpo–Brahmaputra River basin X. Luo et al. https://doi.org/10.5194/nhess-20-2243-2020
42. A Comparative Study on 2015 and 2023 Chennai Flooding: A Multifactorial Perspective S. Radhakrishnan et al. https://doi.org/10.3390/w16172477
43. An evaluation of high‐resolution gridded precipitation products over Bhutan (1998–2012) . Khandu et al. https://doi.org/10.1002/joc.4402
44. Spatio-temporal characteristics and possible mechanisms of rainy season precipitation in Poyang Lake Basin, China Y. Zhang et al. https://doi.org/10.3354/cr01455
45. The Influence of ENSO on the Long‐Term Water Storage Anomalies in the Middle‐Lower Reaches of the Yangtze River Basin: Evaluation and Analysis X. Li et al. https://doi.org/10.1029/2023EA003007
46. Climate variability over the past 100 years in Myanmar derived from tree-ring stable oxygen isotope variations in Teak N. Pumijumnong et al. https://doi.org/10.1007/s00704-019-03036-y
47. Surface chlorophyll anomalies associated with Indian Ocean Dipole and El Niño Southern Oscillation in North Indian Ocean: a case study of 2006–2007 event S. Pandey et al. https://doi.org/10.1007/s10661-019-7754-z