100 citations as recorded by crossref.

1. Quantifying Long-Term Land Surface and Root Zone Soil Moisture over Tibetan Plateau R. Zhuang et al.
2. Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al.
3. Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval M. Nabi et al.
4. Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans S. Khan & V. Maggioni
5. Cross-Examining Precipitation Products by Rain Gauge, Remote Sensing, and WRF Simulations over a South American Region across the Pacific Coast and Andes M. Chen et al.
6. Blending Satellite Observed, Model Simulated, and in Situ Measured Soil Moisture over Tibetan Plateau Y. Zeng et al.
7. Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE L. Siu et al.
8. Evaluation of the ESA CCI soil moisture product using ground-based observations W. Dorigo et al.
9. Quantifying Uncertainties in the Partitioned Swell Heights Observed From CFOSAT SWIM and Sentinel-1 SAR via Triple Collocation H. Wang et al.
10. The Impact of Quadratic Nonlinear Relations between Soil Moisture Products on Uncertainty Estimates from Triple Collocation Analysis and Two Quadratic Extensions S. Zwieback et al.
11. Spatial Representativeness Analysis for Snow Depth Measurements of Meteorological Stations in Northeast China Y. Wang & Z. Zheng
12. The performance of Metop Advanced SCATterometer soil moisture data as a complementary source for the estimation of crop-soil water balance in Central Europe S. Thaler et al.
13. Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain A. Gruber et al.
14. Comparison of traditional method and triple collocation analysis for evaluation of multiple gridded precipitation products across Germany Z. Duan et al.
15. Evaluation and Fusion of MODIS Data to Enhance the Reliability of GK2A/GK2B Geostationary Satellite Vegetation Indices J. Baik et al.
16. Mapping the permafrost stability on the Tibetan Plateau for 2005–2015 Y. Ran et al.
17. Enhancing Uncertainty Assessment of LAI Remote Sensing Products Through Multiple Collocation Methods and Error Separation Techniques P. Zhou et al.
18. Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al.
19. Advancing High-Mountain Precipitation Reconstruction Through Merging of Multiple Data Sources: Triple Collocation Versus Signal-to-Noise Ratio Optimization S. Shah et al.
20. Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma Part II: New Multi-Sensor Soil Moisture (MSSM) Product Z. Hong et al.
21. An objective methodology for merging satellite‐ and model‐based soil moisture products M. Yilmaz et al.
22. Multi-scale analysis of bias correction of soil moisture C. Su & D. Ryu
23. Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis A. Gruber et al.
24. Uncertainty of Reference Pixel Soil Moisture Averages Sampled at SMAP Core Validation Sites F. Chen et al.
25. Decomposition of Random Errors Inherent to HOAPS-3.2 Near-Surface Humidity Estimates Using Multiple Triple Collocation Analysis J. Kinzel et al.
26. Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products F. Chen et al.
27. Beyond triple collocation: Applications to soil moisture monitoring C. Su et al.
28. Summarizing multiple aspects of triple collocation analysis in a single diagram L. Siu et al.
29. Sea surface current estimation using optical satellite imagery of Kelvin wakes and AIS data K. Haakman et al.
30. Üçlü Eşleştirme Yöntemi ile Uydu ve Hidrolojik Model Kaynaklı Toprak Nemi Değerlerinin Hata Oranlarının Bulunması M. YILMAZ
31. Towards an integrated soil moisture drought monitor for East Africa W. Anderson et al.
32. Estimation of the temporal autocorrelation structure by the collocation technique with an emphasis on soil moisture studies S. Zwieback et al.
33. Accounting for seasonal retrieval errors in the merging of multi-sensor satellite soil moisture products P. Stradiotti et al.
34. Decadal Evaluation of Sea Surface Temperature Products from MWRI Onboard FY-3B/C/D Satellites Y. Zhao et al.
35. Characterization of Drought Development through Remote Sensing: A Case Study in Central Yunnan, China S. Abbas et al.
36. Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation F. Chen et al.
37. Evaluation and calibration of a high-resolution soil moisture product for wildfire prediction and management . Vinodkumar & I. Dharssi
38. Triple Collocation Analysis of Soil Moisture From Metop-A ASCAT and SMOS Against JRA-55 and ERA-Interim K. Miyaoka et al.
39. Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment L. Renzullo et al.
40. Estimating time-dependent vegetation biases in the SMAP soil moisture product S. Zwieback et al.
41. An intercomparison of four gridded precipitation products over Europe using an extension of the three-cornered-hat method L. Lledó et al.
42. Triple collocation: Beyond three estimates and separation of structural/non-structural errors M. Pan et al.
43. Evaluating a multi-step collocation approach for an ensemble climatological dataset of actual evapotranspiration over Italy C. Cammalleri et al.
44. Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method H. Fang et al.
45. A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation A. Gruber et al.
46. Terrestrial Water Storage Change Retrieved by GRACE and Its Implication in the Tibetan Plateau: Estimating Areal Precipitation in Ungauged Region Y. Jia et al.
47. Quality Assessment of Sea Surface Temperature from ATSRs of the Climate Change Initiative (Phase 1) C. Tsamalis & R. Saunders
48. Cross-evaluation of ground-based, multi-satellite and reanalysis precipitation products: Applicability of the Triple Collocation method across Mainland China C. Li et al.
49. Inter-Comparison of SST Products from iQuam, AMSR2/GCOM-W1, and MWRI/FY-3D Y. Zhao et al.
50. Characterizing Coarse‐Scale Representativeness of in situ Soil Moisture Measurements from the International Soil Moisture Network A. Gruber et al.
51. Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model T. Ding et al.
52. Assessing global passive microwave soil moisture retrievals in mountainous terrain: insights from in situ validation and extended triple collocation Y. Yang et al.
53. Building the vegetation drought response index for Canada (VegDRI-Canada) to monitor agricultural drought: first results T. Tadesse et al.
54. Comparing soil moisture anomalies from multiple independent sources over different regions across the globe C. Cammalleri et al.
55. Consistency and uncertainty of gridded terrestrial evapotranspiration estimations over China L. Guo et al.
56. Determining Errors in Directional Buoy-Derived Swell Heights via the Joint Analysis of Space-Borne Radars and WaveWatch III Simulations H. Wang et al.
57. Error Estimation of Pathfinder Version 5.3 Level-3C SST Using Extended Triple Collocation Analysis K. Saha et al.
58. Multi‐Timescale Analysis of the Spatial Representativeness of In Situ Soil Moisture Data within Satellite Footprints B. Molero et al.
59. How far can the statistical error estimation problem be closed by collocated data? A. Vogel & R. Ménard
60. Confidently Uncertain: Validating Satellite ECV Measurement Uncertainty Estimates T. Verhoelst et al.
61. Comparison of soil wetness from multiple models over Australia with observations . Vinodkumar et al.
62. Synergizing multi-collocation fusion and spatiotemporal deep learning to enhance global soil moisture memory characterization X. Min et al.
63. Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma—Part I: Individual Product Assessment Z. Hong et al.
64. Validation and trend analysis of ECV soil moisture data on cropland in North China Plain during 1981–2010 S. Wang et al.
65. Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products M. Nabi et al.
66. Stand-alone error characterisation of microwave satellite soil moisture using a Fourier method C. Su et al.
67. Error Analysis on ESA’s Envisat ASAR Wave Mode Significant Wave Height Retrievals Using Triple Collocation Model H. Wang et al.
68. Error Decomposition of Remote Sensing Soil Moisture Products Based on the Triple-Collocation Method Introducing an Unbiased Reference Dataset: A Case Study on the Tibetan Plateau J. Kang et al.
69. Validation of the ESA CCI soil moisture product in China R. An et al.
70. Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology A. Gruber et al.
71. The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products M. Afshar & M. Yilmaz
72. The potential of 2D Kalman filtering for soil moisture data assimilation A. Gruber et al.
73. Recent advances in (soil moisture) triple collocation analysis A. Gruber et al.
74. Uncertainty analysis of eleven multisource soil moisture products in the third pole environment based on the three-corned hat method J. Liu et al.
75. Clarifications on the equations and the sample number in triple collocation analysis using SST observations C. Tsamalis
76. Fusion and Analysis of Multi-Source Precipitation Data (2003–2021) in the Yangtze River Basin R. Sun et al.
77. Quadruple Collocation Analysis for Soil Moisture Product Assessment N. Pierdicca et al.
78. Sensitivity of Soil Moisture Analyses to Contrasting Background and Observation Error Scenarios J. Muñoz-Sabater et al.
79. Improving Daily Precipitation Estimates by Merging Satellite and Reanalysis Data in Northeast China G. Yin et al.
80. A Binned Triple Collocation for Estimating Regime-Dependent Uncertainties of Precipitation V. Pellet
81. What is the Uncertainty of the Uncertainty and (Why) Does it Matter? Improving the Uncertainty Estimates of Merged Multi-satellite Soil Moisture Data Sets M. Formanek et al.
82. A mutual assessment of the uncertainties of digital elevation models using the triple collocation technique C. Yakubu et al.
83. Impact of Rescaling Approaches in Simple Fusion of Soil Moisture Products M. Afshar et al.
84. A regional scale performance evaluation of SMOS and ESA-CCI soil moisture products over India with simulated soil moisture from MERRA-Land A. Chakravorty et al.
85. Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) S. Losa et al.
86. Exploitation of error correlation in a large analysis validation: GlobCurrent case study R. Danielson et al.
87. Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation Z. Li et al.
88. ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al.
89. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al.
90. A Polarimetric First-Order Model of Soil Moisture Effects on the DInSAR Coherence S. Zwieback et al.
91. Examining the performance of precipitation products in characterizing the Indian summer monsoon rainfall (ISMR) using triple collocation S. Paul & H. Alemohammad
92. Estimating Random Errors of Scatterometer, Altimeter, and Model Wind Speed Data S. Abdalla & G. De Chiara
93. Assessing global transpiration estimates: Insights from tree-scale sap flow analysis C. Li et al.
94. Evaluation of Assumptions in Soil Moisture Triple Collocation Analysis M. Yilmaz & W. Crow
95. Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals A. Gruber et al.
96. Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al.
97. Enhanced Soil Moisture Retrieval through Integrating Satellite Data with Pedotransfer Functions in a Complex Landscape of Ethiopia E. Teferi et al.
98. A Comprehensive Evaluation of Gridded L-, C-, and X-Band Microwave Soil Moisture Product over the CZO in the Central Ganga Plains, India S. Dash & R. Sinha
99. A global water cycle reanalysis (2003–2012) merging satellite gravimetry and altimetry observations with a hydrological multi-model ensemble A. van Dijk et al.
100. Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis M. Sun et al.