122 citations as recorded by crossref.

1. Improvements in the forecasts of near-surface variables in the Global Forecast System (GFS) via assimilating ASCAT soil moisture retrievals J. Yin et al. 10.1016/j.jhydrol.2019.124018
2. Global Automated Quality Control of In Situ Soil Moisture Data from the International Soil Moisture Network W. Dorigo et al. 10.2136/vzj2012.0097
3. A quality assessment of the soil water index by the propagation of ASCAT soil moisture error estimates through an exponential filter D. De Santis & D. Biondi 10.1080/01431161.2017.1382745
4. Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions D. Fairbairn et al. 10.5194/hess-19-4811-2015
5. Comparing Assimilation of Synthetic Soil Moisture Versus C‐Band Backscatter for Hyper‐Resolution Land Surface Modeling L. Sun et al. 10.1029/2020WR028921
6. Estimating root mean square errors in remotely sensed soil moisture over continental scale domains C. Draper et al. 10.1016/j.rse.2013.06.013
7. Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models L. Li et al. 10.1007/s00376-023-3181-8
8. Spatial Evaluation and Assimilation of SMAP, SMOS, and ASCAT Satellite Soil Moisture Products Over Africa Using Statistical Techniques B. Mousa & H. Shu 10.1029/2019EA000841
9. Soil Moisture Estimation in Alpine Catchments through Modeling and Satellite Observations L. Brocca et al. 10.2136/vzj2012.0102
10. Comparison of remotely sensed and modelled soil moisture data sets across Australia C. Holgate et al. 10.1016/j.rse.2016.09.015
11. Soil water content in southern England derived from a cosmic‐ray soil moisture observing system – COSMOS‐UK J. Evans et al. 10.1002/hyp.10929
12. Validation of the SMOS Level 1C Brightness Temperature and Level 2 Soil Moisture Data over the West and Southwest of Iran M. Jamei et al. 10.3390/rs12172819
13. Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations J. Zeng et al. 10.1016/j.rse.2015.03.008
14. A coupled data assimilation system for climate reanalysis P. Laloyaux et al. 10.1002/qj.2629
15. The New Stand-Alone Surface Analysis at ECMWF: Implications for Land–Atmosphere DA Coupling D. Fairbairn et al. 10.1175/JHM-D-19-0074.1
16. Root-zone soil moisture estimation from assimilation of downscaled Soil Moisture and Ocean Salinity data G. Dumedah et al. 10.1016/j.advwatres.2015.07.021
17. Assessment of MERRA-2 Land Surface Energy Flux Estimates C. Draper et al. 10.1175/JCLI-D-17-0121.1
18. Downscaling of seasonal soil moisture forecasts using satellite data S. Schneider et al. 10.5194/hess-18-2899-2014
19. Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area C. Albergel et al. 10.5194/gmd-10-3889-2017
20. Medium‐range global ensemble prediction system at 12 km horizontal resolution and its preliminary validation A. Mamgain et al. 10.1002/met.1867
21. Systematic daytime increases in atmospheric biases linked to dry soils in irrigated areas in Indian operational forecasts E. Barton et al. 10.1002/asl.1172
22. Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hess-16-3863-2012
23. A Review of the Applications of ASCAT Soil Moisture Products L. Brocca et al. 10.1109/JSTARS.2017.2651140
24. Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. 10.3390/w9020140
25. Assimilation of multiple data types for improved heat flux prediction: A one-dimensional field study R. Pipunic et al. 10.1016/j.rse.2013.05.015
26. Evaluation of an Adaptive Soil Moisture Bias Correction Approach in the ECMWF Land Data Assimilation System D. Fairbairn et al. 10.3390/rs16030493
27. A simplified Extended Kalman Filter for the global operational soil moisture analysis at ECMWF P. de Rosnay et al. 10.1002/qj.2023
28. Regional and Global Land Data Assimilation Systems: Innovations, Challenges, and Prospects Y. Xia et al. 10.1007/s13351-019-8172-4
29. An RCM multi-physics ensemble over Europe: multi-variable evaluation to avoid error compensation M. García-Díez et al. 10.1007/s00382-015-2529-x
30. Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data N. Nicolai‐Shaw et al. 10.1002/2015JD023305
31. SMOS brightness temperature assimilation into the Community Land Model D. Rains et al. 10.5194/hess-21-5929-2017
32. Introduction to CAUSES: Description of Weather and Climate Models and Their Near‐Surface Temperature Errors in 5 day Hindcasts Near the Southern Great Plains C. Morcrette et al. 10.1002/2017JD027199
33. Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems W. Lahoz & G. De Lannoy 10.1007/s10712-013-9221-7
34. Assimilation of ASCAT near-surface soil moisture into the SIM hydrological model over France C. Draper et al. 10.5194/hess-15-3829-2011
35. Absolute versus temporal anomaly and percent of saturation soil moisture spatial variability for six networks worldwide L. Brocca et al. 10.1002/2014WR015684
36. Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System R. Reichle et al. 10.1109/JSTARS.2021.3118595
37. Spatial horizontal correlation characteristics in the land data assimilation of soil moisture X. Han et al. 10.5194/hess-16-1349-2012
38. Short-Range Numerical Weather Prediction of Extreme Precipitation Events Using Enhanced Surface Data Assimilation M. Lindskog & T. Landelius 10.3390/atmos10100587
39. Evaluation of simulated soil moisture from China Land Data Assimilation System (CLDAS) land surface models Y. Wang & G. Li 10.1080/2150704X.2020.1820614
40. Impact of INSAT‐3D land surface temperature assimilation via simplified extended Kalman filter‐based land data assimilation system on forecasting of surface fields over India A. Lodh et al. 10.1002/met.70019
41. Survey of data assimilation methods for convective‐scale numerical weather prediction at operational centres N. Gustafsson et al. 10.1002/qj.3179
42. Sub-daily soil moisture estimate using dynamic Bayesian model averaging Y. Chen et al. 10.1016/j.jhydrol.2020.125445
43. Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing C. Albergel et al. 10.1175/JHM-D-12-0161.1
44. Inhomogeneous Anisotropic Analysis of the Available Water Content of the Upper Soil Layer According to Ground-Based and Remote Sensing on the Territory of Russia P. Bykov et al. 10.1109/TGRS.2022.3202609
45. An Intercomparison of Noah Model Skills With Benefits of Assimilating SMOPS Blended and Individual Soil Moisture Retrievals J. Yin et al. 10.1029/2018WR024326
46. Statistical modelling of rainfall-induced shallow landsliding using static predictors and numerical weather predictions: preliminary results V. Capecchi et al. 10.5194/nhess-15-75-2015
47. Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain J. Martínez-Fernández et al. 10.1016/j.rse.2019.111422
48. A Hybrid Approach Combining Conceptual Hydrological Models, Support Vector Machines and Remote Sensing Data for Rainfall-Runoff Modeling M. Kwon et al. 10.3390/rs12111801
49. Sensitivity of Numerical Weather Forecasts to Initial Soil Moisture Variations in CFSv2 P. Dirmeyer & S. Halder 10.1175/WAF-D-16-0049.1
50. Sentinel-1 soil moisture at 1 km resolution: a validation study A. Balenzano et al. 10.1016/j.rse.2021.112554
51. Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses C. Albergel et al. 10.1016/j.rse.2013.07.009
52. The Impact of Satellite‐Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts B. Candy et al. 10.1002/2016JD026417
53. Assimilation of SMOS Retrievals in the Land Information System C. Blankenship et al. 10.1109/TGRS.2016.2579604
54. Influence of ASCAT soil moisture on prediction of track and intensity of landfall tropical cyclones A. Routray et al. 10.1080/01431161.2022.2164232
55. Impact of Backscatter Variations Over Water Bodies on Coarse-Scale Radar Retrieved Soil Moisture and the Potential of Correcting With Meteorological Data E. Hogstrom & A. Bartsch 10.1109/TGRS.2016.2530845
56. Sensitivity of soil moisture initialization for decadal predictions under different regional climatic conditions in Europe S. Khodayar et al. 10.1002/joc.4096
57. Surface Soil Moisture Retrieval on Qinghai-Tibetan Plateau Using Sentinel-1 Synthetic Aperture Radar Data and Machine Learning Algorithms L. Dong et al. 10.3390/rs15010153
58. Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. 10.1016/j.asr.2016.03.008
59. A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data Y. Tian et al. 10.3390/rs11212580
60. Validation of two gridded soil moisture products over India with in-situ observations C. Unnikrishnan et al. 10.1007/s12040-016-0714-x
61. 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
62. Satellite soil moisture data assimilation for improved operational continental water balance prediction S. Tian et al. 10.5194/hess-25-4567-2021
63. Examining the Impact of SMAP Soil Moisture Retrievals on Short-Range Weather Prediction under Weakly and Strongly Coupled Data Assimilation with WRF-Noah L. Lin & Z. Pu 10.1175/MWR-D-19-0017.1
64. State of the Art in Large-Scale Soil Moisture Monitoring T. Ochsner et al. 10.2136/sssaj2013.03.0093
65. Assimilation of Passive L-band Microwave Brightness Temperatures in the Canadian Land Data Assimilation System: Impacts on Short-Range Warm Season Numerical Weather Prediction M. Carrera et al. 10.1175/JHM-D-18-0133.1
66. Developing and testing a long-term soil moisture dataset at the catchment scale L. Brocca et al. 10.1016/j.jhydrol.2013.03.029
67. Comparison of soil wetness from multiple models over Australia with observations . Vinodkumar et al. 10.1002/2015WR017738
68. Global assimilation of air temperature, humidity, wind and pressure from surface stations B. Ingleby 10.1002/qj.2372
69. 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. 10.5194/hess-16-3607-2012
70. Challenges and Opportunities for Data Assimilation in Mountainous Environments J. Hacker et al. 10.3390/atmos9040127
71. A Comparison of ASCAT Soil Moisture Data With <italic>In Situ</italic> Observations Over the Indian Region: A Multiscale Analysis K. Bhimala & P. Goswami 10.1109/TGRS.2015.2422377
72. Inter-comparison of microwave satellite soil moisture retrievals over the Murrumbidgee Basin, southeast Australia C. Su et al. 10.1016/j.rse.2013.02.016
73. Assessing a New Coupled Data Assimilation System Based on the Met Office Coupled Atmosphere–Land–Ocean–Sea Ice Model D. Lea et al. 10.1175/MWR-D-15-0174.1
74. Assessing the sensitivity of hydro-climatological change detection methods to model uncertainty and bias Z. Jiang et al. 10.1016/j.advwatres.2019.103430
75. The Met Office Operational Soil Moisture Analysis System B. Gómez et al. 10.3390/rs12223691
76. A new method for rainfall estimation through soil moisture observations L. Brocca et al. 10.1002/grl.50173
77. Satellite soil moisture for advancing our understanding of earth system processes and climate change W. Dorigo & R. de Jeu 10.1016/j.jag.2016.02.007
78. Improving the prediction of monsoon depressions by assimilating ASCAT soil moisture in NCUM-R modeling system A. Lodh et al. 10.1016/j.atmosres.2022.106130
79. Evaluation and calibration of a high-resolution soil moisture product for wildfire prediction and management . Vinodkumar & I. Dharssi 10.1016/j.agrformet.2018.09.012
80. Impact of Soil Moisture Data Assimilation on Analysis and Medium-Range Forecasts in an Operational Global Data Assimilation and Prediction System S. Jun et al. 10.3390/atmos12091089
81. Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication G. De Lannoy et al. 10.3389/frwa.2022.981745
82. Assimilation of Satellite Soil Moisture for Improved Atmospheric Reanalyses C. Draper & R. Reichle 10.1175/MWR-D-18-0393.1
83. Application of observation operators for field scale soil moisture averages and variances in agricultural landscapes E. Han et al. 10.1016/j.jhydrol.2012.03.035
84. A reduced latency regional gap-filling method for SMAP using random forest regression X. Wang et al. 10.1016/j.isci.2022.105853
85. A Preliminary Assessment of the Impact of Assimilating Satellite Soil Moisture Data Products on NCEP Global Forecast System W. Zheng et al. 10.1155/2018/7363194
86. A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements J. Peng et al. 10.1016/j.rse.2020.112162
87. Land–Snow Data Assimilation Including a Moderately Coupled Initialization Method Applied to NWP S. Benjamin et al. 10.1175/JHM-D-21-0198.1
88. Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies A. Loew et al. 10.5194/hess-17-3523-2013
89. Evolution and Accuracy of Surface Humidity Reports* B. Ingleby et al. 10.1175/JTECH-D-12-00232.1
90. Impact of Weak Coupling between Land and Atmosphere Data Assimilation Systems on Environment and Climate Change Canada’s Global Deterministic Prediction System M. Shahabadi et al. 10.1175/WAF-D-19-0073.1
91. Impact of ASCAT Soil Moisture Assimilation on Regional Precipitation Forecasts: A Case Study for Austria S. Schneider et al. 10.1175/MWR-D-12-00311.1
92. Hourly 4D‐Var in the Met Office UKV operational forecast model M. Milan et al. 10.1002/qj.3737
93. The soil moisture data bank: The ground-based, model-based, and satellite-based soil moisture data A. Tavakol et al. 10.1016/j.rsase.2021.100649
94. Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area D. Leroux et al. 10.3390/rs10081199
95. Temporal stability and variability of soil-water content in a gravel-mulched field in northwestern China W. Zhao et al. 10.1016/j.jhydrol.2017.06.031
96. Soil Moisture–Evapotranspiration Overcoupling and L-Band Brightness Temperature Assimilation: Sources and Forecast Implications W. Crow et al. 10.1175/JHM-D-20-0088.1
97. Intercomparison of the JULES and CABLE land surface models through assimilation of remotely sensed soil moisture in southeast Australia G. Dumedah & J. Walker 10.1016/j.advwatres.2014.09.011
98. Identifying errors in dust models from data assimilation R. Pope et al. 10.1002/2016GL070621
99. Comparisons of remote sensing and reanalysis soil moisture products over the Tibetan Plateau, China W. Ullah et al. 10.1016/j.coldregions.2017.12.003
100. Effects of meteorological forcings and land surface model on soil moisture simulation over China J. Zeng et al. 10.1016/j.jhydrol.2021.126978
101. Comparison of X-Band and L-Band Soil Moisture Retrievals for Land Data Assimilation X. Xu et al. 10.1109/JSTARS.2017.2703988
102. SMOS near-real-time soil moisture product: processor overview and first validation results N. Rodríguez-Fernández et al. 10.5194/hess-21-5201-2017
103. Potential of soil moisture observations in flood modelling: Estimating initial conditions and correcting rainfall C. Massari et al. 10.1016/j.advwatres.2014.08.004
104. Dust induced radiative perturbations during an episode of long-range dust transport over Delhi, India: a high-resolution regional NWP model study T. Francis et al. 10.1007/s00703-020-00760-3
105. A Dynamic Approach to Addressing Observation-Minus-Forecast Bias in a Land Surface Skin Temperature Data Assimilation System C. Draper et al. 10.1175/JHM-D-14-0087.1
106. Initialisation of Land Surface Variables for Numerical Weather Prediction P. de Rosnay et al. 10.1007/s10712-012-9207-x
107. Defining a Trade-off Between Spatial and Temporal Resolution of a Geosynchronous SAR Mission for Soil Moisture Monitoring L. Cenci et al. 10.3390/rs10121950
108. Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors H. Beck et al. 10.5194/hess-25-17-2021
109. Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: the Murray–Darling basin in Australia as a test case R. Hostache et al. 10.5194/hess-24-4793-2020
110. Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part I: Comparison and Analysis Y. Xia et al. 10.1175/JHM-D-14-0096.1
111. Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a Bayesian Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products J. Kang et al. 10.3390/rs13020228
112. Triple Collocation Analysis of Soil Moisture From Metop-A ASCAT and SMOS Against JRA-55 and ERA-Interim K. Miyaoka et al. 10.1109/JSTARS.2016.2632306
113. Evaluating the Met Office Unified Model land surface temperature in Global Atmosphere/Land 3.1 (GA/L3.1), Global Atmosphere/Land 6.1 (GA/L6.1) and limited area 2.2 km configurations J. Brooke et al. 10.5194/gmd-12-1703-2019
114. Assessment of remotely sensed soil moisture products and their quality improvement: A case study in South Korea M. Kwon & D. Han 10.1016/j.jher.2019.04.002
115. Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture M. Rajib et al. 10.1016/j.jhydrol.2016.02.037
116. Integrating ASCAT surface soil moisture and GEOV1 leaf area index into the SURFEX modelling platform: a land data assimilation application over France A. Barbu et al. 10.5194/hess-18-173-2014
117. Improvements in the forecasts of near-surface variables in the Global Forecast System (GFS) via assimilating ASCAT soil moisture retrievals J. Yin et al. 10.1016/j.jhydrol.2019.124018
118. ASCAT Surface State Flag (SSF): Extracting Information on Surface Freeze/Thaw Conditions From Backscatter Data Using an Empirical Threshold-Analysis Algorithm V. Naeimi et al. 10.1109/TGRS.2011.2177667
119. Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations C. Albergel et al. 10.1016/j.rse.2011.11.017
120. Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment L. Renzullo et al. 10.1016/j.jhydrol.2014.08.008
121. Evaluation of multi-model simulated soil moisture in NLDAS-2 Y. Xia et al. 10.1016/j.jhydrol.2014.02.027
122. Operational assimilation of ASCAT surface soil wetness at the Met Office I. Dharssi et al. 10.5194/hess-15-2729-2011