Evaluating the NASA MERRA-2 climate reanalysis and ESA CCI satellite remote sensing soil moisture over the contiguous United States

References

• Al Bitar, A., D. Leroux, Y. H. Kerr, O. Merlin, P. Richaume, A. Sahoo, and E. F. Wood. 2012. “Evaluation of SMOS Soil Moisture Models Over Continental US Using the SCAN/SNOTEL Network.” IEEE Transactions on Geoscience and Remote Sensing 50 (5): 1572–1586. https://doi.org/10.1109/TGRS.2012.2186581.
   Web of Science ®Google Scholar
• Al-Yaari, A., A. Ducharne, F. Cheruy, W. T. Crow, and J. P. Wigneron. 2019. “Satellite-Based Soil Moisture Provides Missing Link Between Summertime Precipitation and Surface Temperature Biases in CMIP5 Simulations Over Conterminous United States.” Scientific Reports 9 (1): 1657. https://doi.org/10.1038/s41598-018-38309-5.
   PubMedGoogle Scholar
• An, R., L. Zhang, Z. Wang, J. A. Quaye-Ballard, J. You, X. Shen, W. Gao, L. Huang, Y. Zhao, and Z. Ke. 2016. “Validation of the ESA CCI Soil Moisture Product in China.” International Journal of Applied Earth Observation and Geoinformation 48:28–36. https://doi.org/10.1016/j.jag.2015.09.009.
   Web of Science ®Google Scholar
• Bales, R. C., J. W. Hopmans, A. T. O’Geen, M. Meadows, P. C. Hartsough, P. Kirchner, C. T. Hunsaker, and D. Beaudette. 2011. “Soil Moisture Response to Snowmelt and Rainfall in a Sierra Nevada Mixed-Conifer Forest.” Vadose Zone Journal 10 (3): 786–799. https://doi.org/10.2136/vzj2011.0001.
   Web of Science ®Google Scholar
• Bateni, S. M., and D. Entekhabi. 2012. “Relative Efficiency of Land Surface Energy Balance Components.” Water Resources Research 48 (4). https://doi.org/10.1029/2011WR011357.
   Google Scholar
• Blyverket, J., P. D. Hamer, L. Bertino, C. Albergel, D. Fairbairn, and W. A. Lahoz. 2019. “An Evaluation of the EnKf Vs. EnOi and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data Over the Contiguous US.” Remote Sensing 11 (5): 478. https://doi.org/10.3390/rs11050478.
   Web of Science ®Google Scholar
• Brooks, P. D., M. W. Williams, and S. K. Schmidt. 1998. “Inorganic Nitrogen and Microbial Biomass Dynamics Before and During Spring Snowmelt.” Biogeochemistry 43 (1): 1–15. https://doi.org/10.1023/A:1005947511910.
   Web of Science ®Google Scholar
• Burrough, P. A. 1986. Principles of Geographical Information Systems for Land Resources Assessment, 193. New York: Oxford University Press.
   Google Scholar
• Carrao, H., S. Russo, G. Sepulcre-Canto, and P. Barbosa. 2016. “An Empirical Standardized Soil Moisture Index for Agricultural Drought Assessment from Remotely Sensed Data.” International Journal of Applied Earth Observation and Geoinformation: ITC Journal 48:74–84. https://doi.org/10.1016/j.jag.2015.06.011.
   Web of Science ®Google Scholar
• Chen, S., T. Y. Gan, X. Tan, D. Shao, and J. Zhu. 2019. “Assessment of CFSR, ERA-Interim, JRA-55, MERRA-2, NCEP-2 Reanalysis Data for Drought Analysis Over China.” Climate Dynamics 53 (1–2): 737–757. https://doi.org/10.1007/s00382-018-04611-1.
   Web of Science ®Google Scholar
• Chen, N., R. Li, X. Zhang, C. Yang, X. Wang, L. Zeng, S. Tang, W. Wang, D. Li, and D. Niyogi. 2020. “Drought Propagation in Northern China Plain: A Comparative Analysis of GLDAS and MERRA-2 Datasets.” Journal of Hydrology 588:125026. https://doi.org/10.1016/j.jhydrol.2020.125026.
   Web of Science ®Google Scholar
• Chen, Y., K. Yang, J. Qin, L. Zhao, W. Tang, and M. Han. 2013. “Evaluation of AMSR-E Retrievals and GLDAS Simulations Against Observations of a Soil Moisture Network on the Central Tibetan Plateau.” Journal of Geophysical Research 118 (10): 4466–4475. https://doi.org/10.1002/jgrd.50301.
   Web of Science ®Google Scholar
• Chung, D., W. Dorigo, S. Hahn, T. Melzer, C. Paulik, C. Reimer, M. Vreugdenhil, W. Wagner, and R. Kidd. 2016. Algorithm Theoretical Baseline Document (ATBD). D2.1 Version 03.2. Merging Active and Passive Soil Moisture Retrievals. ESA Climate Change Initiative Phase II. Soil Moisture, Site. Accessed September 8, 2019. http://www.esa-soilmoisture-cci.org/.
   Google Scholar
• Ciabatta, L., C. Massari, L. Brocca, A. Gruber, C. Reimer, S. Hahn, C. Paulik, W. Dorigo, R. Kidd, and W. Wagner. 2018. “SM2RAIN-CCI: A New Global Long-Term Rainfall Data Set Derived from ESA CCI Soil Moisture.” Earth System Science Data 10 (1): 267. https://doi.org/10.5194/essd-10-267-2018.
   Web of Science ®Google Scholar
• CNRFC. 2020. Assessed March 14, 2020. https://www.cnrfc.noaa.gov/.
   Google Scholar
• Colliander, A., T. J. Jackson, R. Bindlish, S. Chan, N. Das, S. B. Kim, M. H. Cosh, et al. 2017. “Validation of SMAP Surface Soil Moisture Products with Core Validation Sites.” Remote Sensing of Environment 191:215–231. https://doi.org/10.1016/j.rse.2017.01.021.
   Web of Science ®Google Scholar
• Coopersmith, E. J., J. E. Bell, and M. H. Cosh. 2015. “Extending the Soil Moisture Data Record of the US Climate Reference Network (USCRN) and Soil Climate Analysis Network (SCAN).” Advances in Water Resources 79:80–90. https://doi.org/10.1016/j.advwatres.2015.02.006.
   Web of Science ®Google Scholar
• Cullather, R. I., S. M. J. Nowicki, B. Zhao, and M. J. Suarez. 2014. “Evaluation of the Surface Representation of the Greenland Ice Sheet in a General Circulation Model.” Journal of Climate 27 (13): 4835–4856. https://doi.org/10.1175/JCLI-D-13-00635.1.
   Web of Science ®Google Scholar
• Dente, L., Z. Vekerdy, R. de Jeu, and Z. Su. 2013. “Seasonality and Autocorrelation of Satellite-Derived Soil Moisture Products.” International Journal of Remote Sensing 34 (9–10): 3231–3247. https://doi.org/10.1080/01431161.2012.716923.
   Web of Science ®Google Scholar
• Dong, J., and W. T. Crow. 2017. “An Improved Triple Collocation Analysis Algorithm for Decomposing Autocorrelated and White Soil Moisture Retrieval Errors.” Journal of Geophysical Research: Atmospheres 122 (24): 13–081. https://doi.org/10.1002/2017JD027387.
   Web of Science ®Google Scholar
• Dorigo, W. A., A. Gruber, R. A. M. De Jeu, W. Wagner, T. Stacke, A. Loew, C. Albergel, et al. 2015. “Evaluation of the ESA CCI Soil Moisture Products Using Ground-Based Observations.” Remote Sensing of Environment 162:380–395. https://doi.org/10.1016/j.rse.2014.07.023.
   Web of Science ®Google Scholar
• Dorigo, W. A., W. Wagner, C. Albergel, F. Albrecht, G. Balsamo, L. Brocca, D. Chung, et al. 2017. “ESA CCI Soil Moisture for Improved Earth System Understanding: State-of-The Art and Future Directions.” Remote Sensing of Environment 203:185–215. https://doi.org/10.1016/j.rse.2017.07.001.
   Web of Science ®Google Scholar
• Draper, C. S., R. H. Reichle, and R. D. Koster. 2018. “Assessment of MERRA-2 Land Surface Energy Flux Estimates.” Journal of Climate 31 (2): 671–691. https://doi.org/10.1175/JCLI-D-17-0121.1.
   Web of Science ®Google Scholar
• Ducharne, A., R. D. Koster, M. J. Suarez, M. Stieglitz, and P. Kumar. 2000. “Acatchment–Based Approach to Modeling Land Surface Processes in a General Circulation Model 2. Parameter Estimation and Model Demonstration.” Journal of Geophysical Research 105 (D20): 24823–24838. https://doi.org/10.1029/2000JD900328.
   Web of Science ®Google Scholar
• Entekhabi, D., E. G. Njoku, P. E. O’Neill, K. H. Kellogg, W. T. Crow, W. N. Edelstein, J. K. Entin, et al. 2010a. “The Soil Moisture Active Passive (SMAP) Mission.” Proceedings of the IEEE 98 (5): 704–716. https://doi.org/10.1109/JPROC.2010.2043918.
   Web of Science ®Google Scholar
• Entekhabi, D., R. H. Reichle, R. D. Koster, and W. T. Crow. 2010b. “Performance Metrics for Soil Moisture Retrievals and Application Requirements.” Journal of Hydrometeorology 11 (3): 832–840. https://doi.org/10.1175/2010JHM1223.1.
   Web of Science ®Google Scholar
• Gelaro, R., W. McCarty, M. J. Suárez, R. Todling, A. Molod, L. Takacs, and K. Wargan. 2017. “The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2).” Journal of Climate 30 (14): 5419–5454. https://doi.org/10.1175/JCLI-D-16-0758.1.
   Web of Science ®Google Scholar
• Gonzalez-Zamora, Á., N. Sánchez, J. Martínez-Fernández, Á. Gumuzzio, M. Piles, and E. Olmedo. 2015. “Long-Term SMOS Soil Moisture Products: A Comprehensive Evaluation Across Scales and Methods in the Duero Basin (Spain).” Physics and Chemistry of the Earth, Parts A/B/C 83–84:123–136. https://doi.org/10.1016/j.pce.2015.05.009.
   Web of Science ®Google Scholar
• Gonzalez-Zamora, Á., N. Sánchez, M. Pablos, and J. Martínez-Fernández. 2019. “CCI Soil Moisture Assessment with SMOS Soil Moisture and in situ Data Under Different Environmental Conditions and Spatial Scales in Spain.” Remote Sensing of Environment 225:469–482. https://doi.org/10.1016/j.rse.2018.02.010.
   Web of Science ®Google Scholar
• Green, J. K., S. I. Seneviratne, A. M. Berg, K. L. Findell, S. Hagemann, D. M. Lawrence, and P. Gentine. 2019. “Large Influence of Soil Moisture on Long-Term Terrestrial Carbon Uptake.” Nature 565 (7740): 476. https://doi.org/10.1038/s41586-018-0848-x.
   PubMed Web of Science ®Google Scholar
• Gruber, A., G. De Lannoy, C. Albergel, A. Al-Yaari, L. Brocca, J. C. Calvet, A. Colliander, et al. 2020. “Validation Practices for Satellite Soil Moisture Retrievals: What are (The) Errors?” Remote Sensing of Environment 244:111806. https://doi.org/10.1016/j.rse.2020.111806.
   Web of Science ®Google Scholar
• Gruber, A., W. A. Dorigo, W. Crow, and W. Wagner. 2017. “Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals.” IEEE Transactions on Geoscience and Remote Sensing 55 (12): 6780–6792. https://doi.org/10.1109/TGRS.2017.2734070.
   Web of Science ®Google Scholar
• Gruber, A., T. Scanlon, R. V. D. Schalie, W. Wagner, and W. Dorigo. 2019. “Evolution of the ESA CCI Soil Moisture Climate Data Records and Their Underlying Merging Methodology.” Earth System Science Data 11 (2): 717–739. https://doi.org/10.5194/essd-11-717-2019.
   Web of Science ®Google Scholar
• Hearty, T. J., J. N. Lee, D. L. Wu, R. Cullather, J. M. Blaisdell, J. Susskind, and S. M. Nowicki. 2018. “Intercomparison of Surface Temperatures from AIRS, MERRA, and MERRA–2 with NOAA and GC–Net Weather Sites at Summit, Greenland.” Journal of Applied Meteorology and Climatology 57 (5): 1231–1245. https://doi.org/10.1175/JAMC-D-17-0216.1.
   PubMed Web of Science ®Google Scholar
• Holmes, T. R. H., R. A. M. De Jeu, M. Owe, and A. J. Dolman. 2009. “Land Surface Temperature from Ka Band (37 GHz) Passive Microwave Observations.” Journal of Geophysical Research D: Atmospheres 114 (D4): 114. https://doi.org/10.1029/2008JD010257.
   Google Scholar
• Karl, T. R., and W. J. Koss, eds. 1984. “Regional and National Monthly, Seasonal, and Annual Temperature Weighted by Area, 1895-1983 .” In Historical Climatology Series 4–3, 38. Asheville, NC: National Climatic Data Center.
   Google Scholar
• Kerr, Y. H., P. Waldteufel, J. P. Wigneron, J. A. M. J. Martinuzzi, J. Font, and M. Berger. 2001. “Soil Moisture Retrieval from Space: The Soil Moisture and Ocean Salinity (SMOS) Mission.” IEEE Transactions on Geoscience and Remote Sensing 39 (8): 1729–1735. https://doi.org/10.1109/36.942551.
   Web of Science ®Google Scholar
• Koster, R. D., P. A. Dirmeyer, Z. Guo, G. Bonan, E. Chan, P. Cox, C. T. Gordon, et al. 2004. “Regions of Strong Coupling Between Soil Moisture and Precipitation.” Science: Advanced Materials and Devices 305 (5687): 1138–1140. https://doi.org/10.1126/science.1100217.
   Google Scholar
• Koster, R. D., S. D. Schubert, H. Wang, S. P. Mahanama, and A. M. DeAngelis. 2019. “Flash Drought as Captured by Reanalysis Data: Disentangling the Contributions of Precipitation Deficit and Excess Evapotranspiration.” Journal of Hydrometeorology 20 (6): 1241–1258. https://doi.org/10.1175/JHM-D-18-0242.1.
   Web of Science ®Google Scholar
• Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and P. Kumar. 2000. “Acatchment–Based Approach to Modeling Land Surface Processes in a General Circulation Model 1.” Journal of Geophysical Research Atmospheres 105 (D20): 24809–24822. https://doi.org/10.1029/2000JD900327.
   Web of Science ®Google Scholar
• Le, M. H., H. Kim, H. Moon, R. Zhang, V. Lakshmi, and L. B. Nguyen. 2020. “Assessment of Drought Conditions Over Vietnam Using Standardized Precipitation Evapotranspiration Index, MERRA-2 Re-Analysis, and Dynamic Land Cover.” Journal of Hydrology: Regional Studies 32:100767. https://doi.org/10.1016/j.ejrh.2020.100767.
   Google Scholar
• Leng, P., X. Song, S.-B. Duan, and Z.-L. Li. 2017. “Generation of Continuous Surface Soil Moisture Dataset Using Combined Optical and Thermal Infrared Images.” Hydrological Processes 31 (6): 1398–1407. https://doi.org/10.1002/hyp.11113.
   Web of Science ®Google Scholar
• Levine, P. A., J. T. Randerson, Y. Chen, M. S. Pritchard, M. Xu, and F. M. Hoffman. 2019. “Soil Moisture Variability Intensifies and Prolongs Eastern Amazon Temperature and Carbon Cycle Response to El Niño–Southern Oscillation.” Journal of Climate 32 (4): 1273–1292. https://doi.org/10.1175/JCLI-D-18-0150.1.
   Web of Science ®Google Scholar
• Liu, Y. Y., W. A. Dorigo, R. M. Parinussa, R. A. M. de Jeu, W. Wagner, M. F. McCabe, J. P. Evans, and A. I. J. M. van Dijk. 2012. “Trend-Preserving Blending of Passive and Active Microwave Soil Moisture Retrievals.” Remote Sensing of Environment 123:280–297. https://doi.org/10.1016/j.rse.2012.03.014.
   Web of Science ®Google Scholar
• Liu, K., X. Li, S. Wang, and H. Zhang. 2023. “A Robust Gap-Filling Approach for European Space Agency Climate Change Initiative (ESA CCI) Soil Moisture Integrating Satellite Observations, Model-Driven Knowledge, and Spatiotemporal Machine Learning.” Hydrology and Earth System Sciences 27 (2): 577–598. https://doi.org/10.5194/hess-27-577-2023.
   Web of Science ®Google Scholar
• Liu, Y. Y., R. M. Parinussa, W. A. Dorigo, R. A. M. De Jeu, W. Wagner, A. I. J. M. van Dijk, M. F. McCabe, and J. P. Evans. 2011. “Developing an Improved Soil Moisture Dataset by Blending Passive and Active Microwave Satellite-Based Retrievals.” Hydrology and Earth System Sciences 15 (2): 425–436. https://doi.org/10.5194/hess-15-425-2011.
   Web of Science ®Google Scholar
• Liu, W., J. Wang, F. Xu, C. Li, and T. Xian. 2022. “Validation of Four Satellite-Derived Soil Moisture Products Using Ground-Based in situ Observations Over Northern China.” Remote Sensing 14 (6): 1419. https://doi.org/10.3390/rs14061419.
   Web of Science ®Google Scholar
• Lv, M., Z. Xu, and M. Lv. 2021. “Evaluating Hydrological Processes of the Atmosphere–Vegetation Interaction Model and MERRA-2 at Global Scale.” Atmosphere 12 (1): 16. https://doi.org/10.3390/atmos12010016.
   Web of Science ®Google Scholar
• Ma, H., X. Li, J. Zeng, X. Zhang, J. Dong, N. Chen, L. Fan, et al. 2023. “An Assessment of L-Band Surface Soil Moisture Products from SMOS and SMAP in the Tropical Areas.” Remote Sensing of Environment 284:113344. https://doi.org/10.1016/j.rse.2022.113344.
   Web of Science ®Google Scholar
• Mathivha, F., and N. Mbatha. 2022. “Comparison of Long-Term Changes in Non-Linear Aggregated Drought Index Calibrated by MERRA–2 and NDII Soil Moisture Proxies.” Water 14 (1): 26. https://doi.org/10.3390/w14010026.
   Web of Science ®Google Scholar
• Ma, H., J. Zeng, N. Chen, X. Zhang, M. H. Cosh, and W. Wang. 2019. “Satellite Surface Soil Moisture from SMAP, SMOS, AMSR2 and ESA CCI: A Comprehensive Assessment Using Global Ground-Based Observations.” Remote Sensing of Environment 231:111215. https://doi.org/10.1016/j.rse.2019.111215.
   Web of Science ®Google Scholar
• Ma, H., J. Zeng, X. Zhang, P. Fu, D. Zheng, J. P. Wigneron, N. Chen, and D. Niyogi. 2021. “Evaluation of Six Satellite-And Model-Based Surface Soil Temperature Datasets Using Global Ground-Based Observations.” Remote Sensing of Environment 264:112605. https://doi.org/10.1016/j.rse.2021.112605.
   Web of Science ®Google Scholar
• Mohanty, B. P., M. H. Cosh, V. Lakshmi, and C. Montzka. 2017. “Soil Moisture Remote Sensing: State‐Of‐The‐Science.” Vadose Zone Journal 16 (1): 1–9. https://doi.org/10.2136/vzj2016.10.0105.
   Web of Science ®Google Scholar
• Naeimi, V., C. Paulik, A. Bartsch, W. Wagner, R. Kidd, S.-E. Park, K. Elger, and J. Boike. 2012. “ASCAT Surface State Flag (SSF): Extracting Information on Surface Freeze/Thaw Conditions from Backscatter Data Using an Empirical Threshold Analysis Algorithm.” IEEE Transactions on Geoscience & Remote Sensing 50 (7): 2566–2582. https://doi.org/10.1109/TGRS.2011.2177667.
   Web of Science ®Google Scholar
• Nandintsetseg, B., and M. Shinoda. 2011. “Seasonal Change of Soil Moisture in Mongolia: Its Climatology and Modelling.” International Journal of Climatology 31 (8): 1143–1152. https://doi.org/10.1002/joc.2134.
   Web of Science ®Google Scholar
• Oliva, R., E. Daganzo, Y. H. Kerr, S. Mecklenburg, S. Nieto, P. Richaume, and C. Gruhier. 2012. “SMOS Radio Frequency Interference Scenario: Status and Actions Taken to Improve the RFI Environment in the 1400–1427-MHz Passive Band.” IEEE Transactions on Geoscience and Remote Sensing: A Publication of the IEEE Geoscience and Remote Sensing Society 50 (5): 1427–1439. https://doi.org/10.1109/TGRS.2012.2182775.
   Web of Science ®Google Scholar
• Peng, J., A. Loew, and T. Crueger. 2017. “The Relationship Between the Madden-Julian Oscillation and the Land Surface Soil Moisture.” Remote Sensing of Environment 203:226–239. https://doi.org/10.1016/j.rse.2017.07.004.
   Web of Science ®Google Scholar
• Petersky, R., and A. Harpold. 2018. “Now You See It, Now You don’t: A Case Study of Ephemeral Snowpacks and Soil Moisture Response in the Great Basin, USA.” Hydrology and Earth System Sciences 22 (9): 4891–4906. https://doi.org/10.5194/hess-22-4891-2018.
   Web of Science ®Google Scholar
• Piles, M., N. Sanchez, M. Vall-Llossera, A. Camps, J. Martínez-Fernández, J. Martínez, and V. González-Gambau. 2014. “A Dowscaling Approach for SMOS Land Observations: Long-Term Evaluation of High Resolution Soil Moisture Maps Over the Iberian Peninsula.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (9): 3845–3857. https://doi.org/10.1109/JSTARS.2014.2325398.
   Web of Science ®Google Scholar
• Pratola, C., B. Barrett, A. Gruber, and E. Dwyer. 2015. “Quality Assessment of the CCI ECV Soil Moisture Products Using ENVISAT ASAR Wide Swath Data Over Spain, Ireland and Finland.” Remote Sensing 7 (11): 15388. https://doi.org/10.3390/rs71115388.
   Web of Science ®Google Scholar
• Putman, W., and S. –. Lin. 2007. “Finite Volume Transport on Various Cubed Sphere Grids.” Journal of Computational Physics 227 (1): 55–78. https://doi.org/10.1016/j.jcp.2007.07.022.
   Web of Science ®Google Scholar
• Rahmani, A., S. Golian, and L. Brocca. 2016. “Multiyear Monitoring of Soil Moisture Over Iran Through Satellite and Reanalysis Soil Moisture Products.” International Journal of Applied Earth Observation and Geoinformation: ITC Journal 48:85–95. https://doi.org/10.1016/j.jag.2015.06.009.
   Web of Science ®Google Scholar
• Reichle, R. H., G. J. M. De Lannoy, Q. Liua, J. V. Ardizzone, A. Colliander, A. Conaty, W. Crow, et al. 2017. “Assessment of the SMAP Level−4 Surface and Root−zone Soil Moisture Products Using in-Situ Measurements.” Journal of Hydrometeorology 18 (10): 2621–2645. https://doi.org/10.1175/JHM-D-17-0063.1.
   Web of Science ®Google Scholar
• Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. Mahanama, R. D. Koster, and G. J. De Lannoy. 2017. “Assessment of MERRA-2 Land Surface Hydrology Estimates.” Journal of Climate 30 (8): 2937–2960. https://doi.org/10.1175/JCLI-D-16-0720.1.
   Web of Science ®Google Scholar
• Reichle, R. H., Q. Liu, R. D. Koster, C. S. Draper, S. P. Mahanama, and G. S. Partyka. 2017. “Land Surface Precipitation in MERRA–2.” Journal of Climate 30 (5): 1643–1664. https://doi.org/10.1175/JCLI-D-16-0570.1.
   Web of Science ®Google Scholar
• Rodell, M., P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-J. Meng, K. Arsenault, et al. 2004. “The Global Land Data Assimilation System, Bull.” American Meteorological Society 85 (3): 381–394. https://doi.org/10.1175/BAMS-85-3-381.
   Web of Science ®Google Scholar
• Sakai, T., T. Iizumi, M. Okada, M. Nishimori, T. Grünwald, J. Prueger, A. Cescatti, et al. 2016. “Varying Applicability of Four Different Satellite-Derived Soil Moisture Products to Global Gridded Crop Model Evaluation.” International Journal of Applied Earth Observation and Geoinformation: ITC Journal 48:51–60. https://doi.org/10.1016/j.jag.2015.09.011.
   Web of Science ®Google Scholar
• Sanchez, N., J. Martinez-Fernandez, A. Scaini, and C. Perez-Gutierrez. 2012. “Validation of the SMOS L2 Soil Moisture Data in the REMEDHUS Network (Spain).” IEEE Transactions on Geoscience and Remote Sensing: A Publication of the IEEE Geoscience and Remote Sensing Society 50 (5): 1602–1611. https://doi.org/10.1109/TGRS.2012.2186971.
   Web of Science ®Google Scholar
• Seo, E., and P. A. Dirmeyer. 2022. “Improving the ESA CCI Daily Soil Moisture Time Series with Physically Based Land Surface Model Datasets Using a Fourier Time-Filtering Method.” Journal of Hydrometeorology 23 (3): 473–489. https://doi.org/10.1175/JHM-D-21-0120.1.
   Web of Science ®Google Scholar
• Shrestha, A., A. S. Nair, and J. Indu. 2020. “Role of Precipitation Forcing on the Uncertainty of Land Surface Model Simulated Soil Moisture Estimates.” Journal of Hydrology 580:124264. https://doi.org/10.1016/j.jhydrol.2019.124264.
   Web of Science ®Google Scholar
• Su, C.-H., S. Y. Narsey, A. Gruber, A. Xaver, D. Chung, D. Ryu, and W. Wagner. 2015. “Evaluation of Post-Retrieval de-Noising of Active and Passive Microwave Satellite Soil Moisture.” Remote Sensing of Environment 163:127–139. https://doi.org/10.1016/j.rse.2015.03.010.
   Web of Science ®Google Scholar
• Tesfamichael, S. G., and Y. A. Shiferaw. 2019. “A Markov Regime-Switching Regression Approach to Modelling NDVI from Surface Temperature and Soil Moisture.” International Journal of Remote Sensing 40 (24): 1–28. https://doi.org/10.1080/01431161.2019.1630783.
   Web of Science ®Google Scholar
• Valipour, M., S. M. Bateni, E. Heggy, J. Dietrich, and M. Almazroui, 2020. “Assessment of the NASA MERRA-2 Climate Reanalysis and ESA CCI Satellite Remote Sensing Soil Moisture Products Over the Contiguous United States.” AGU Fall Meeting, December 1-17, Virtual.
   Google Scholar
• Wanders, N., M. F. P. Bierkens, S. M. Jong, A. Roo, and D. Karssenberg. 2014. “The Benefits of Using Remotely Sensed Soil Moisture in Parameter Identification of Large-Scale Hydrological Models.” Water Resources Research 50 (8): 6874–6891. https://doi.org/10.1002/2013WR014639.
   Web of Science ®Google Scholar
• Xia, Y., M. B. Ek, Y. Wu, T. Ford, and S. M. Quiring. 2015. “Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part I: Comparison and Analysis.” Journal of Hydrometeorology 16 (5): 1962–1980. https://doi.org/10.1175/JHM-D-14-0096.1.
   Web of Science ®Google Scholar
• Xu, L., N. Chen, X. Zhang, H. Moradkhani, C. Zhang, and C. Hu. 2021. “In-Situ and Triple-Collocation Based Evaluations of Eight Global Root Zone Soil Moisture Products.” Remote Sensing of Environment 254:112248. https://doi.org/10.1016/j.rse.2020.112248.
   Web of Science ®Google Scholar
• Zeng, J., Z. Li, Q. Chen, H. Bi, J. Qiu, and P. Zou. 2015. “Evaluation of Remotely Sensed and Reanalysis Soil Moisture Models Over the Tibetan Plateau Using in-Situ Observations.” Remote Sensing of Environment 163:91–110. https://doi.org/10.1016/j.rse.2015.03.008.
   Web of Science ®Google Scholar
• Zhang, Q., K. Fan, V. P. Singh, P. Sun, and P. Shi. 2018. “Evaluation of Remotely Sensed and Reanalysis Soil Moisture Against in situ Observations on the Himalayan‐Tibetan Plateau.” Journal of Geophysical Research: Atmospheres 123 (14): 7132–7148. https://doi.org/10.1029/2017JD027763.
   Web of Science ®Google Scholar
• Zwieback, S., S. Westermann, M. Langer, J. Boike, P. Marsh, and A. Berg. 2019. “Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture.” Water Resources Research 55 (3): 1814–1832. https://doi.org/10.1029/2018WR023247.
   Web of Science ®Google Scholar