26 citations as recorded by crossref.

1. Exploration of Synthetic Terrestrial Snow Mass Estimation via Assimilation of AMSR‐E Brightness Temperature Spectral Differences Using the Catchment Land Surface Model and Support Vector Machine Regression J. Wang et al. 10.1029/2020WR027490
2. Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network B. Cluzet et al. 10.5194/tc-16-1281-2022
3. Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing L. Tsang et al. 10.5194/tc-16-3531-2022
4. Estimating alpine snow depth by combining multifrequency passive radiance observations with ensemble snowpack modeling R. Kim et al. 10.1016/j.rse.2019.03.016
5. Snow Water Equivalent Monitoring—A Review of Large-Scale Remote Sensing Applications S. Schilling et al. 10.3390/rs16061085
6. Large-scale snow data assimilation using a spatialized particle filter: recovering the spatial structure of the particles J. Odry et al. 10.5194/tc-16-3489-2022
7. Estimating Terrestrial Snow Mass via Multi‐Sensor Assimilation of Synthetic AMSR‐E Brightness Temperature Spectral Differences and Synthetic GRACE Terrestrial Water Storage Retrievals J. Wang et al. 10.1029/2021WR029880
8. Assimilation of airborne gamma observations provides utility for snow estimation in forested environments E. Cho et al. 10.5194/hess-27-4039-2023
9. Assimilation of surface reflectance in snow simulations: Impact on bulk snow variables J. Revuelto et al. 10.1016/j.jhydrol.2021.126966
10. Exploring the Utility of Machine Learning-Based Passive Microwave Brightness Temperature Data Assimilation over Terrestrial Snow in High Mountain Asia Y. Kwon et al. 10.3390/rs11192265
11. Characterizing tundra snow sub-pixel variability to improve brightness temperature estimation in satellite SWE retrievals J. Meloche et al. 10.5194/tc-16-87-2022
12. Toward Snow Cover Estimation in Mountainous Areas Using Modern Data Assimilation Methods: A Review C. Largeron et al. 10.3389/feart.2020.00325
13. Spatiotemporal Variation of Snow Depth in the Northern Hemisphere from 1992 to 2016 X. Xiao et al. 10.3390/rs12172728
14. Improving the Snow Volume Scattering Algorithm in a Microwave Forward Model by Using Ground-Based Remote Sensing Snow Observations L. Dai et al. 10.1109/TGRS.2021.3064309
15. Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
16. Development of a Snow Depth Estimation Algorithm over China for the FY-3D/MWRI J. Yang et al. 10.3390/rs11080977
17. Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges J. Du et al. 10.3390/rs11161952
18. 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
19. Improved Estimation of O-B Bias and Standard Deviation by an RFI Restoration Method for AMSR-2 C-Band Observations over North America W. Shen et al. 10.3390/rs14215558
20. Review of snow water equivalent retrieval methods using spaceborne passive microwave radiometry N. Saberi et al. 10.1080/01431161.2019.1654144
21. Improving snow depth simulations on Arctic Sea ice by assimilating a passive microwave-derived record H. Li et al. 10.1016/j.coldregions.2023.103929
22. CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework B. Cluzet et al. 10.5194/gmd-14-1595-2021
23. Estimation of Snow Mass Information via Assimilation of C-Band Synthetic Aperture Radar Backscatter Observations Into an Advanced Land Surface Model J. Park et al. 10.1109/JSTARS.2021.3133513
24. Simulation and Assimilation of Passive Microwave Data Using a Snowpack Model Coupled to a Calibrated Radiative Transfer Model Over Northeastern Canada F. Larue et al. 10.1029/2017WR022132
25. Snow-Covered Soil Temperature Retrieval in Canadian Arctic Permafrost Areas, Using a Land Surface Scheme Informed with Satellite Remote Sensing Data N. Marchand et al. 10.3390/rs10111703
26. Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey J. Helmert et al. 10.3390/geosciences8120489