85 citations as recorded by crossref.

1. MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment H. Beck et al. 10.1175/BAMS-D-17-0138.1
2. Temporal patterns and causal drivers of aboveground plant biomass in a coastal wetland: Insights from time-series analyses K. Biçe et al. 10.3389/fmars.2023.1130958
3. Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities G. Dong et al. 10.1016/j.scitotenv.2023.167090
4. Detecting Climate Teleconnections With Granger Causality F. Silva et al. 10.1029/2021GL094707
5. Detecting a Declining Trend of Multidepth Soil Moisture Over the Mongolian Plateau From 1950 to 2020 Using ERA5-Land Reanalysis Datasets Y. Liu & Y. Yang 10.1109/ACCESS.2022.3204780
6. Big Data in Earth system science and progress towards a digital twin X. Li et al. 10.1038/s43017-023-00409-w
7. Causal inference for time series J. Runge et al. 10.1038/s43017-023-00431-y
8. Landscape-wide changes in land use and land cover correlate with, but rarely explain local biodiversity change M. Jung et al. 10.1007/s10980-020-01109-2
9. Detection of the nonlinear response of vegetation to terrestrial water storage changes in central Asian endorheic basins Z. Yu et al. 10.1016/j.ecolind.2023.110901
10. ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
11. Inferring causation from time series in Earth system sciences J. Runge et al. 10.1038/s41467-019-10105-3
12. Assessing multi-year-drought vulnerability in dense Mediterranean-climate forests using water-balance-based indicators G. Cui et al. 10.1016/j.jhydrol.2022.127431
13. Remotely sensing potential climate change tipping points across scales T. Lenton et al. 10.1038/s41467-023-44609-w
14. Global quantification of the bidirectional dependency between soil moisture and vegetation productivity W. Zhang et al. 10.1016/j.agrformet.2021.108735
15. Multivariate analysis of land surface dynamics in Central Asia: patterns of trends and drivers under a changing climate S. Uereyen et al. 10.1080/15481603.2024.2364461
16. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
17. Analysis of regional climate variables by using neural Granger causality S. Shan et al. 10.1007/s00521-023-08506-z
18. The insight of why: Causal inference in Earth system science J. Su et al. 10.1007/s11430-023-1148-7
19. Forecasting vegetation condition for drought early warning systems in pastoral communities in Kenya A. Barrett et al. 10.1016/j.rse.2020.111886
20. Effects of Drought on Vegetation Productivity of Farmland Ecosystems in the Drylands of Northern China X. Zhu et al. 10.3390/rs13061179
21. Simulation of gross primary productivity and impact of drought in Liulin watershed of Taihang mountains over 2000–2020 J. Zhou et al. 10.1016/j.ecolmodel.2024.110629
22. Phase-wise evaluation and optimization of non-pharmaceutical interventions to contain the COVID-19 pandemic in the U.S. X. Zhou et al. 10.3389/fpubh.2023.1198973
23. A study of links between the Arctic and the midlatitude jet stream using Granger and Pearl causality S. Samarasinghe et al. 10.1002/env.2540
24. The future of Earth observation in hydrology M. McCabe et al. 10.5194/hess-21-3879-2017
25. Detecting dynamical causality by intersection cardinal concavity P. Tao et al. 10.1016/j.fmre.2023.01.007
26. Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks B. Kraft et al. 10.3389/fdata.2019.00031
27. Effectiveness of causality-based predictor selection for statistical downscaling: a case study of rainfall in an Ecuadorian Andes basin A. Vázquez-Patiño et al. 10.1007/s00704-022-04205-2
28. Causal dependencies and Shannon entropy budget: Analysis of a reduced‐order atmospheric model S. Vannitsem et al. 10.1002/qj.4805
29. The Many Shades of the Vegetation–Climate Causality: A Multimodel Causal Appreciation Y. Shao et al. 10.3390/f15081430
30. Assessing the relationship between vegetation greenness and surface temperature through Granger causality and Impulse-Response coefficients: a case study in Mexico Y. Reygadas et al. 10.1080/01431161.2019.1711241
31. Alterations in Canadian Hydropower Production Potential Due to Continuation of Historical Trends in Climate Variables A. Amir Jabbari & A. Nazemi 10.3390/resources8040163
32. Granger causality using Jacobian in neural networks . Suryadi et al. 10.1063/5.0106666
33. Analysis of short-term soil moisture effects on the ASCAT backscatter-incidence angle dependence I. Greimeister-Pfeil et al. 10.1016/j.srs.2022.100053
34. Causal Inference in Geoscience and Remote Sensing From Observational Data A. Perez-Suay & G. Camps-Valls 10.1109/TGRS.2018.2867002
35. Soil water availability induces divergent ecosystem water-use strategies to dry-heat conditions in two poplar plantations in North China X. Wu et al. 10.1016/j.agrformet.2024.110074
36. Nonlinear causal relationships between urbanization and extreme climate events in China Q. Zhao et al. 10.1016/j.jclepro.2023.139889
37. Global biosphere–climate interaction: a causal appraisal of observations and models over multiple temporal scales J. Claessen et al. 10.5194/bg-16-4851-2019
38. Contrasting ecosystem constraints on seasonal terrestrial CO2 and mean surface air temperature causality projections by the end of the 21st century D. Hagan et al. 10.1088/1748-9326/aca551
39. Inundation–Desiccation State Prediction for Salt Pans in the Western Pannonian Basin Using Remote Sensing, Groundwater, and Meteorological Data H. Schauer et al. 10.3390/rs15194659
40. Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models P. Reyes-Muñoz et al. 10.1016/j.rse.2024.114072
41. 追索为什么? 地球系统科学中的因果推理 建. 苏 et al. 10.1360/SSTe-2023-0005
42. Vegetation responses to variations in climate: A combined ordinary differential equation and sequential Monte Carlo estimation approach O. Bruzzone et al. 10.1016/j.ecoinf.2022.101913
43. Spatial-temporal variability pattern of multi-depth soil moisture jointly driven by climatic and human factors in China Y. Liu & Y. Yang 10.1016/j.jhydrol.2023.129313
44. A causal flow approach for the evaluation of global climate models A. Vázquez‐Patiño et al. 10.1002/joc.6470
45. Multi-faceted analyses of seasonal trends and drivers of land surface variables in Indo-Gangetic river basins S. Uereyen et al. 10.1016/j.scitotenv.2022.157515
46. Coupling the Causal Inference and Informer Networks for Short-term Forecasting in Irrigation Water Usage L. Zou et al. 10.1007/s11269-022-03381-0
47. Daily multistep soil moisture forecasting by combining linear and nonlinear causality and attention-based encoder-decoder model L. Xu et al. 10.1007/s00477-024-02846-5
48. A Time-Varying Causality Formalism Based on the Liang–Kleeman Information Flow for Analyzing Directed Interactions in Nonstationary Climate Systems D. Tawia Hagan et al. 10.1175/JCLI-D-18-0881.1
49. Effects of preseason climate change on spring and summer phenological shifts in Inner Mongolian grasslands Z. Nie et al. 10.3389/fevo.2024.1423063
50. Detecting and quantifying causal associations in large nonlinear time series datasets J. Runge et al. 10.1126/sciadv.aau4996
51. Exploring Empirical Linkage of Water Level–Climate–Vegetation across the Three Georges Dam Areas W. Huang et al. 10.3390/w12040965
52. River runoff causal discovery with deep reinforcement learning J. Ji et al. 10.1007/s10489-024-05348-7
53. Quantifying the lagged effects of climate factors on vegetation growth in 32 major cities of China W. Tang et al. 10.1016/j.ecolind.2021.108290
54. Factors affecting ENSO predictability in a linear empirical model of tropical air-sea interactions H. Rashid 10.1038/s41598-020-60371-1
55. A Causal Inference Model Based on Random Forests to Identify the Effect of Soil Moisture on Precipitation L. Li et al. 10.1175/JHM-D-19-0209.1
56. Robust and Responsive Learning of Spatiotemporal Urban Traffic Flow Relationships D. Pavlyuk 10.1109/TITS.2021.3130146
57. Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method D. Kovács et al. 10.3390/rs15204956
58. Is firm growth random? A machine learning perspective A. van Witteloostuijn & D. Kolkman 10.1016/j.jbvi.2018.e00107
59. Crop Yield Prediction Based on Agrometeorological Indexes and Remote Sensing Data X. Zhu et al. 10.3390/rs13102016
60. Global Patterns of Vegetation Response to Short-Term Surface Water Availability Q. He et al. 10.1109/JSTARS.2021.3103854
61. Vegetation‐Climate Interactions on the Loess Plateau: A Nonlinear Granger Causality Analysis D. Kong et al. 10.1029/2018JD029036
62. Predictability of South-Asian monsoon rainfall beyond the legacy of Tropical Ocean Global Atmosphere program (TOGA) B. Goswami et al. 10.1038/s41612-022-00281-3
63. Global hydro-climatic biomes identified via multitask learning C. Papagiannopoulou et al. 10.5194/gmd-11-4139-2018
64. Earth Observation for agricultural drought monitoring in the Pannonian Basin (southeastern Europe): current state and future directions L. Crocetti et al. 10.1007/s10113-020-01710-w
65. Reconstructing directional causal networks with random forest: Causality meeting machine learning S. Leng et al. 10.1063/1.5120778
66. Non-linear interactions between vegetation and terrestrial water storage in Australia A. Chen et al. 10.1016/j.jhydrol.2022.128336
67. Vegetation anomalies caused by antecedent precipitation in most of the world C. Papagiannopoulou et al. 10.1088/1748-9326/aa7145
68. Quantifying the Effects of Climate and Vegetation on Soil Moisture in an Arid Area, China Y. Wang et al. 10.3390/w11040767
69. A Method for Mining Granger Causality Relationship on Atmospheric Visibility B. Liu et al. 10.1145/3447681
70. Study on the Classification and Change Detection Methods of Drylands in Arid and Semi-Arid Regions Z. Zhu et al. 10.3390/rs14051256
71. Bidirectional dependency between vegetation and terrestrial water storage in China J. Xiao et al. 10.1016/j.jhydrol.2023.130313
72. Learning extreme vegetation response to climate drivers with recurrent neural networks F. Martinuzzi et al. 10.5194/npg-31-535-2024
73. Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis V. Cicuéndez et al. 10.3389/ffgc.2023.1017365
74. Quantifying snow controls on vegetation greenness S. Pedersen et al. 10.1002/ecs2.2309
75. Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution R. Xu et al. 10.1016/j.jag.2024.104248
76. Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach C. Krich et al. 10.5194/bg-17-1033-2020
77. Land–atmospheric feedbacks during droughts and heatwaves: state of the science and current challenges D. Miralles et al. 10.1111/nyas.13912
78. Multi-depth evolution characteristics of soil moisture over the Tibetan Plateau in the past 70 years using reanalysis products Y. Liu & Y. Yang 10.3389/fenvs.2022.979853
79. A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning R. Houborg & M. McCabe 10.1016/j.isprsjprs.2017.10.004
80. Patterns and trends of the dominant environmental controls of net biome productivity B. Marcolla et al. 10.5194/bg-17-2365-2020
81. Improving Entropy Estimates of Complex Network Topology for the Characterization of Coupling in Dynamical Systems T. Craciunescu et al. 10.3390/e20110891
82. Self-tuning robust adjustment within multivariate regression time series models with vector-autoregressive random errors B. Kargoll et al. 10.1007/s00190-020-01376-6
83. A Regional Earth System Data Lab for Understanding Ecosystem Dynamics: An Example from Tropical South America L. Estupinan-Suarez et al. 10.3389/feart.2021.613395
84. Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK, Using Hierarchical Directed Graphs (V1.0.0) P. Broomandi et al. 10.3390/su13042201
85. Impacts of Heat and Drought on Gross Primary Productivity in China X. Zhu et al. 10.3390/rs13030378