73 citations as recorded by crossref.

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2. Soil moisture retrieved from microwave satellite data and its relationship with the Asian dust (Hwangsa) frequency in East Asia during the period from 2003 to 2010 Y. Kim et al. https://doi.org/10.1007/s13143-013-0046-6
3. A Generic First-Order Radiative Transfer Modelling Approach for the Inversion of Soil and Vegetation Parameters from Scatterometer Observations R. Quast et al. https://doi.org/10.3390/rs11030285
4. The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations R. Parinussa et al. https://doi.org/10.5194/hess-15-3135-2011
5. Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture M. Rajib et al. https://doi.org/10.1016/j.jhydrol.2016.02.037
6. Intensification and Expansion of Soil Moisture Drying in Warm Season Over Eurasia Under Global Warming X. Gu et al. https://doi.org/10.1029/2018JD029776
7. Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. https://doi.org/10.5194/hess-28-5419-2024
8. Impact of different satellite soil moisture products on the predictions of a continuous distributed hydrological model P. Laiolo et al. https://doi.org/10.1016/j.jag.2015.06.002
9. Maqu network for validation of satellite-derived soil moisture products L. Dente et al. https://doi.org/10.1016/j.jag.2011.11.004
10. Parameter identification in hydrological models using groundwater-level measurements and satellite-based soil moisture P. Kreye et al. https://doi.org/10.1080/02626667.2019.1599120
11. The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements W. Dorigo et al. https://doi.org/10.5194/hess-15-1675-2011
12. Inter-comparison of microwave satellite soil moisture retrievals over the Murrumbidgee Basin, southeast Australia C. Su et al. https://doi.org/10.1016/j.rse.2013.02.016
13. Challenges in flood modeling over data-scarce regions: how to exploit globally available soil moisture products to estimate antecedent soil wetness conditions in Morocco E. El Khalki et al. https://doi.org/10.5194/nhess-20-2591-2020
14. The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. https://doi.org/10.5194/hess-25-5749-2021
15. On the use of AMSU-based products for the description of soil water content at basin scale S. Manfreda et al. https://doi.org/10.5194/hess-15-2839-2011
16. Towards a Long-Term Reanalysis of Land Surface Variables over Western Africa: LDAS-Monde Applied over Burkina Faso from 2001 to 2018 M. Tall et al. https://doi.org/10.3390/rs11060735
17. Monitoring of Extreme Agricultural Drought of the Past 20 Years in Southwest China Using GLDAS Soil Moisture X. Sun et al. https://doi.org/10.3390/rs14061323
18. Validation of the SMOS L2 Soil Moisture Data in the REMEDHUS Network (Spain) N. Sanchez et al. https://doi.org/10.1109/TGRS.2012.2186971
19. Sensitivity of Soil Moisture Analyses to Contrasting Background and Observation Error Scenarios J. Muñoz-Sabater et al. https://doi.org/10.3390/w10070890
20. The temporal stability of soil moisture spatial pattern and its influencing factors in rocky environments Z. Zhao et al. https://doi.org/10.1016/j.catena.2019.104418
21. Comparing soil moisture retrievals from SMOS and ASCAT over France M. Parrens et al. https://doi.org/10.5194/hess-16-423-2012
22. Enhancing Noah Land Surface Model Prediction Skill over Indian Subcontinent by Assimilating SMOPS Blended Soil Moisture A. Nair & J. Indu https://doi.org/10.3390/rs8120976
23. Attribution of Extreme Drought Events and Associated Physical Drivers across Southwest China Using the Budyko Framework X. Sun et al. https://doi.org/10.3390/rs15112702
24. Downscaling of seasonal soil moisture forecasts using satellite data S. Schneider et al. https://doi.org/10.5194/hess-18-2899-2014
25. Analysis of SMOS brightness temperature and vegetation optical depth data with coupled land surface and radiative transfer models in Southern Germany F. Schlenz et al. https://doi.org/10.5194/hess-16-3517-2012
26. Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations J. Zeng et al. https://doi.org/10.1016/j.rse.2015.03.008
27. A bare ground evaporation revision in the ECMWF land-surface scheme: evaluation of its impact using ground soil moisture and satellite microwave data C. Albergel et al. https://doi.org/10.5194/hess-16-3607-2012
28. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe L. Brocca et al. https://doi.org/10.1016/j.rse.2011.08.003
29. A pole-oriented discrete global grid system: Quaternary quadrangle mesh M. Zhou et al. https://doi.org/10.1016/j.cageo.2013.08.012
30. Spatial and temporal variability of biophysical variables in southwestern France from airborne L-band radiometry E. Zakharova et al. https://doi.org/10.5194/hess-16-1725-2012
31. Uncertainty Assessment of the SMOS Validation in the Upper Danube Catchment F. Schlenz et al. https://doi.org/10.1109/TGRS.2011.2171694
32. An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula R. Parinussa et al. https://doi.org/10.1002/hyp.9975
33. Multilayer Soil Moisture Mapping at a Regional Scale from Multisource Data via a Machine Learning Method L. Zeng et al. https://doi.org/10.3390/rs11030284
34. Improving runoff simulation using soil moisture guided hybrid modeling: A MISDc-FFNN framework applied to data-sparse basins K. Ait Naceur et al. https://doi.org/10.1016/j.ejrh.2026.103610
35. Robust Initial Wetness Condition Framework of an Event-Based Rainfall–Runoff Model Using Remotely Sensed Soil Moisture W. Sunwoo & M. Choi https://doi.org/10.3390/w9020077
36. Analysis of C-Band Scatterometer Moisture Estimations Derived Over a Semiarid Region R. Amri et al. https://doi.org/10.1109/TGRS.2012.2186458
37. <b>Machine Learning-Based Prediction of Soil Moisture in Sikkim's High-Rainfall Zones Using Multimodal Remote Sensing Data</b> P. Dubey et al. https://doi.org/10.52151/jae2026634.2043
38. Intercomparison of microwave remote-sensing soil moisture data sets based on distributed eco-hydrological model simulation and in situ measurements over the North China Plain J. Qiu et al. https://doi.org/10.1080/01431161.2013.788799
39. A Preliminary Study toward Consistent Soil Moisture from AMSR2 R. Parinussa et al. https://doi.org/10.1175/JHM-D-13-0200.1
40. Deriving pedotransfer functions for soil quartz fraction in southern France from reverse modeling J. Calvet et al. https://doi.org/10.5194/soil-2-615-2016
41. Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data M. Zribi et al. https://doi.org/10.1002/2012WR013405
42. Evaluation of ERA5 reanalysis and ECV satellite soil moisture products based on in situ observations over Jiangsu, China X. Shi et al. https://doi.org/10.3389/fenvs.2025.1672787
43. Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France M. El Hajj et al. https://doi.org/10.3390/rs10040569
44. Spatial averages of in situ measurements versus remote sensing observations: a soil moisture analysis N. Sanchez et al. https://doi.org/10.1080/14498596.2020.1833769
45. Soil moisture mapping for different land-use patterns of lower Bhavani river basin using vegetative index and land surface temperature N. Janani et al. https://doi.org/10.1007/s10668-022-02896-1
46. Evaluation of satellite soil moisture products over Norway using ground-based observations A. Griesfeller et al. https://doi.org/10.1016/j.jag.2015.04.016
47. Assimilation of H-SAF Soil Moisture Products for Flash Flood Early Warning Systems. Case Study: Mediterranean Catchments L. Cenci et al. https://doi.org/10.1109/JSTARS.2016.2598475
48. ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better? C. Albergel et al. https://doi.org/10.5194/hess-22-3515-2018
49. Evaluating Root-Zone Soil Moisture Products from GLEAM, GLDAS, and ERA5 Based on In Situ Observations and Triple Collocation Method over the Tibetan Plateau S. Yang et al. https://doi.org/10.1175/JHM-D-22-0016.1
50. First Evaluation of Aquarius Soil Moisture Products UsingIn SituObservations and GLDAS Model Simulations D. Li et al. https://doi.org/10.1109/JSTARS.2015.2452955
51. Operational assimilation of ASCAT surface soil wetness at the Met Office I. Dharssi et al. https://doi.org/10.5194/hess-15-2729-2011
52. Absolute versus temporal anomaly and percent of saturation soil moisture spatial variability for six networks worldwide L. Brocca et al. https://doi.org/10.1002/2014WR015684
53. Evaluation of ECMWF's soil moisture analyses using observations on the Tibetan Plateau Z. Su et al. https://doi.org/10.1002/jgrd.50468
54. The effect of satellite-derived surface soil moisture and leaf area index land data assimilation on streamflow simulations over France D. Fairbairn et al. https://doi.org/10.5194/hess-21-2015-2017
55. The Importance of Subsurface Processes in Land Surface Modeling over a Temperate Region: An Analysis with SMAP, Cosmic Ray Neutron Sensing and Triple Collocation Analysis H. Zhao et al. https://doi.org/10.3390/rs13163068
56. Temporal stability and variability of soil-water content in a gravel-mulched field in northwestern China W. Zhao et al. https://doi.org/10.1016/j.jhydrol.2017.06.031
57. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al. https://doi.org/10.5194/hess-19-1659-2015
58. Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing C. Albergel et al. https://doi.org/10.1175/JHM-D-12-0161.1
59. Validation Analysis of SMAP and AMSR2 Soil Moisture Products over the United States Using Ground-Based Measurements X. Zhang et al. https://doi.org/10.3390/rs9020104
60. Reconstructing and analyzing China's fifty-nine year (1951–2009) drought history using hydrological model simulation Z. Wu et al. https://doi.org/10.5194/hess-15-2881-2011
61. Parameter Calibration of a Distributed Hydrological Model Based on Satellite Remote Sensing Data 凌. 曾 https://doi.org/10.12677/JWRR.2022.116061
62. Comparison of soil moisture in GLDAS model simulations and in situ observations over the Tibetan Plateau H. Bi et al. https://doi.org/10.1002/2015JD024131
63. A simplified Extended Kalman Filter for the global operational soil moisture analysis at ECMWF P. de Rosnay et al. https://doi.org/10.1002/qj.2023
64. A first assessment of the SMOS data in southwestern France using in situ and airborne soil moisture estimates: The CAROLS airborne campaign C. Albergel et al. https://doi.org/10.1016/j.rse.2011.06.012
65. Catchment scale soil moisture spatial–temporal variability L. Brocca et al. https://doi.org/10.1016/j.jhydrol.2011.12.039
66. Evaluating soil moisture simulations from a national-scale gridded hydrological model over Great Britain R. Lane et al. https://doi.org/10.1016/j.ejrh.2024.101735
67. Soil Moisture Analyses at ECMWF: Evaluation Using Global Ground-Based In Situ Observations C. Albergel et al. https://doi.org/10.1175/JHM-D-11-0107.1
68. Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses C. Albergel et al. https://doi.org/10.1016/j.rse.2013.07.009
69. Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model P. Luo et al. https://doi.org/10.1016/j.isprsjprs.2022.01.009
70. Analysis of soil moisture estimates from global and regional datasets over the Indian region G. Vangala & A. Chandrasekar https://doi.org/10.1007/s12040-021-01800-1
71. Comparative assessment of soil moisture estimation from land surface model and satellite remote sensing based on catchment water balance D. Al-Shrafany et al. https://doi.org/10.1002/met.1357
72. Use of reflected GNSS SNR data to retrieve either soil moisture or vegetation height from a wheat crop S. Zhang et al. https://doi.org/10.5194/hess-21-4767-2017
73. Factors Controlling Temporal Stability of Surface Soil Moisture: A Watershed‐Scale Modeling Study L. Wei et al. https://doi.org/10.2136/vzj2016.12.0132