{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T18:22:39Z","timestamp":1773253359165,"version":"3.50.1"},"reference-count":94,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T00:00:00Z","timestamp":1628035200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201806010358"],"award-info":[{"award-number":["201806010358"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Land surface models (LSMs) simulate water and energy cycles at the atmosphere\u2013soil interface, however, the physical processes in the subsurface are typically oversimplified and lateral water movement is neglected. Here, a cross-evaluation of land surface model results (with and without lateral flow processes), the National Aeronautics and Space Administration (NASA) Soil Moisture Active\/Passive (SMAP) mission soil moisture product, and cosmic-ray neutron sensor (CRNS) measurements is carried out over a temperate climate region with cropland and forests over western Germany. Besides a traditional land surface model (the Community Land Model (CLM) version 3.5), a coupled land surface-subsurface model (CLM-ParFlow) is applied. Compared to CLM stand-alone simulations, the coupled CLM-ParFlow model considered both vertical and lateral water movement. In addition to standard validation metrics, a triple collocation (TC) analysis has been performed to help understanding the random error variances of different soil moisture datasets. In this study, it is found that the three soil moisture datasets are consistent. The coupled and uncoupled model simulations were evaluated at CRNS sites and the coupled model simulations showed less bias than the CLM-standalone model (\u22120.02 cm3 cm\u22123 vs. 0.07 cm3 cm\u22123), similar random errors, but a slightly smaller correlation with the measurements (0.67 vs. 0.71). The TC-analysis showed that CLM-ParFlow reproduced better soil moisture dynamics than CLM stand alone and with a higher signal-to-noise ratio. This suggests that the representation of subsurface physics is of major importance in land surface modeling and that coupled land surface-subsurface modeling is of high interest.<\/jats:p>","DOI":"10.3390\/rs13163068","type":"journal-article","created":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T21:44:24Z","timestamp":1628113464000},"page":"3068","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["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"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2477-2665","authenticated-orcid":false,"given":"Haojin","family":"Zhao","sequence":"first","affiliation":[{"name":"Agrosphere (IBG-3), Forschungszentrum J\u00fclich, 52425 J\u00fclich, Germany"},{"name":"Centre for High-Performance Scientific Computing in Terrestrial Systems, HPSC TerrSys, 52425 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0812-8570","authenticated-orcid":false,"given":"Carsten","family":"Montzka","sequence":"additional","affiliation":[{"name":"Agrosphere (IBG-3), Forschungszentrum J\u00fclich, 52425 J\u00fclich, Germany"}]},{"given":"Roland","family":"Baatz","sequence":"additional","affiliation":[{"name":"Agrosphere (IBG-3), Forschungszentrum J\u00fclich, 52425 J\u00fclich, Germany"},{"name":"Scientific Coordination Office, International Soil Modelling Consortium ISMC, 52425 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8051-8517","authenticated-orcid":false,"given":"Harry","family":"Vereecken","sequence":"additional","affiliation":[{"name":"Agrosphere (IBG-3), Forschungszentrum J\u00fclich, 52425 J\u00fclich, Germany"},{"name":"Centre for High-Performance Scientific Computing in Terrestrial Systems, HPSC TerrSys, 52425 J\u00fclich, Germany"},{"name":"Scientific Coordination Office, International Soil Modelling Consortium ISMC, 52425 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0004-8114","authenticated-orcid":false,"given":"Harrie-Jan Hendricks","family":"Franssen","sequence":"additional","affiliation":[{"name":"Agrosphere (IBG-3), Forschungszentrum J\u00fclich, 52425 J\u00fclich, Germany"},{"name":"Centre for High-Performance Scientific Computing in Terrestrial Systems, HPSC TerrSys, 52425 J\u00fclich, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,4]]},"reference":[{"key":"ref_1","first-page":"15113","article-title":"The Role of Groundwater in the Amazon Water Cycle: 1. Influence on Seasonal Streamflow, Flooding and Wetlands","volume":"117","author":"Fan","year":"2012","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"9131","DOI":"10.1029\/2017JD028187","article-title":"Quantifying the Impact of Subsurface-Land Surface Physical Processes on the Predictive Skill of Subseasonal Mesoscale Atmospheric Simulations","volume":"123","author":"Sulis","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.jhydrol.2004.04.019","article-title":"Groundwater Influences on Soil Moisture and Surface Evaporation","volume":"297","author":"Chen","year":"2004","journal-title":"J. Hydrol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"414","DOI":"10.2136\/vzj2008.0059","article-title":"Water Movement through a Shallow Vadose Zone: A Field Irrigation Experiment","volume":"8","author":"Ochoa","year":"2009","journal-title":"Vadose Zone J."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"6338","DOI":"10.1002\/2015WR017522","article-title":"Untangling the Effects of Shallow Groundwater and Soil Texture as Drivers of Subfield-Scale Yield Variability","volume":"51","author":"Zipper","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"10336","DOI":"10.1002\/2017WR020727","article-title":"Feedbacks Between Shallow Groundwater Dynamics and Surface Topography on Runoff Generation in Flat Fields","volume":"53","author":"Appels","year":"2017","journal-title":"Water Resour. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1080\/02626661003780458","article-title":"Evaporation from Shallow Groundwater in Closed Basins in the Chilean Altiplano","volume":"55","author":"Johnson","year":"2010","journal-title":"Hydrol. Sci. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1817","DOI":"10.5194\/hess-16-1817-2012","article-title":"Shallow Groundwater Effect on Land Surface Temperature and Surface Energy Balance under Bare Soil Conditions: Modeling and Description","volume":"16","author":"Alkhaier","year":"2012","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4909","DOI":"10.5194\/hess-23-4909-2019","article-title":"Groundwater Influence on Soil Moisture Memory and Land-Atmosphere Fluxes in the Iberian Peninsula","volume":"23","year":"2019","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1749","DOI":"10.5194\/hess-13-1749-2009","article-title":"A Qualitative Description of Shallow Groundwater Effect on Surface Temperature of Bare Soil","volume":"13","author":"Alkhaier","year":"2009","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1002\/eco.1362","article-title":"An Integrated Modelling Framework of Catchment-Scale Ecohydrological Processes: 1. Model Description and Tests over an Energy-Limited Watershed","volume":"7","author":"Niu","year":"2014","journal-title":"Ecohydrology"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1111\/gwat.12610","article-title":"Coupled Surface and Groundwater Hydrological Modeling in a Changing Climate","volume":"56","author":"Sridhar","year":"2018","journal-title":"Groundwater"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1029\/2007WR006004","article-title":"Capturing the Influence of Groundwater Dynamics on Land Surface Processes Using an Integrated, Distributed Watershed Model","volume":"44","author":"Kollet","year":"2008","journal-title":"Water Resour. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1474","DOI":"10.1016\/j.jhydrol.2014.09.015","article-title":"Assessment of Land Surface Model Uncertainty: A Crucial Step towards the Identification of Model Weaknesses","volume":"519","author":"Dumedah","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"10,676","DOI":"10.1002\/2016JD025097","article-title":"The Impact of Standard and Hard-Coded Parameters on the Hydrologic Fluxes in the Noah-MP Land Surface Model","volume":"121","author":"Cuntz","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.jhydrol.2004.01.008","article-title":"In Situ Measurement of Soil Moisture: A Comparison of Techniques","volume":"293","author":"Walker","year":"2004","journal-title":"J. Hydrol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"628","DOI":"10.2136\/vzj2008.0171","article-title":"Field Estimation of Soil Water Content: A Practical Guide to Methods, Instrumentation and Sensor Technology","volume":"8","author":"Hanson","year":"2009","journal-title":"Vadose Zone J."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1029\/2018RG000618","article-title":"Ground, Proximal, and Satellite Remote Sensing of Soil Moisture","volume":"57","author":"Babaeian","year":"2019","journal-title":"Rev. Geophys."},{"key":"ref_19","unstructured":"Montzka, C., Bogena, H.R., Herbst, M., Cosh, M.H., Jagdhuber, T., and Vereecken, H. (2020). Estimating the Number of Reference Sites Necessary for the Validation of Global Soil Moisture Products. IEEE Geosci. Remote Sens. Lett., 1\u20135."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Franz, T.E., Zreda, M., Rosolem, R., and Ferre, T.P.A. (2012). Field Validation of a Cosmic-Ray Neutron Sensor Using a Distributed Sensor Network. Vadose Zone J., 11.","DOI":"10.2136\/vzj2012.0046"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.5194\/hess-17-1065-2013","article-title":"Corrigendum to \u201cCOSMOS: The COsmic-ray Soil Moisture Observing System\u201d published in Hydrol. Earth Syst. Sci., 16, 4079\u20134099, 2012","volume":"17","author":"Zreda","year":"2013","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"L21402","DOI":"10.1029\/2008GL035655","article-title":"Measuring Soil Moisture Content Non-Invasively at Intermediate Spatial Scale Using Cosmic-Ray Neutrons","volume":"35","author":"Zreda","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Montzka, C., Bogena, H.R., Zreda, M., Monerris, A., Morrison, R., Muddu, S., and Vereecken, H. (2017). Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes. Remote Sens., 9.","DOI":"10.3390\/rs9020103"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1109\/JPROC.2010.2043032","article-title":"The SMOS Mission: New Tool for Monitoring Key Elements Ofthe Global Water Cycle","volume":"98","author":"Kerr","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/JPROC.2010.2043918","article-title":"The Soil Moisture Active Passive (SMAP) Mission","volume":"98","author":"Entekhabi","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_26","unstructured":"Chan, S., Bindlish, R., O\u2019Neill, P., Jackson, T., Chaubell, J., Piepmeier, J., Dunbar, S., Colliander, A., Chen, F., and Entekhabi, D. (2017, January 23\u201328). Development and Validation of the SMAP Enhanced Passive Soil Moisture Product. Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.rse.2019.01.015","article-title":"A Comprehensive Validation of the SMAP Enhanced Level-3 Soil Moisture Product Using Ground Measurements over Varied Climates and Landscapes","volume":"223","author":"Zhang","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.rse.2017.01.021","article-title":"Validation of SMAP Surface Soil Moisture Products with Core Validation Sites","volume":"191","author":"Colliander","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Colliander, A., Reichle, R.H., Crow, W.T., Cosh, M.H., Chen, F., Chan, S., Das, N., Bindlish, R., Chaubell, J., and Kim, S.B. (2021). Preprint-Submitted to IEEE JSTARS CC BY-NC-SA 4.0 Validation of the Most Recent SMAP Level 2 and 3 SM Retrieval Products (R17000) Validation of Soil Moisture Data Products from the NASA SMAP Mission, TechRxiv.","DOI":"10.36227\/techrxiv.14714571"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"el Hajj, M., Baghdadi, N., Zribi, M., Rodr\u00edguez-Fern\u00e1ndez, N., Wigneron, J., Al-Yaari, A., al Bitar, A., Albergel, C., and Calvet, J.-C. (2018). Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France. Remote Sens., 10.","DOI":"10.3390\/rs10040569"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Walker, V.A., Hornbuckle, B.K., Cosh, M.H., and Prueger, J.H. (2019). Seasonal Evaluation of SMAP Soil Moisture in the U.S. Corn Belt. Remote Sens., 11.","DOI":"10.3390\/rs11212488"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.rse.2017.10.026","article-title":"Global-Scale Assessment and Combination of SMAP with ASCAT (Active) and AMSR2 (Passive) Soil Moisture Products","volume":"204","author":"Kim","year":"2018","journal-title":"Remote. Sens. Environ."},{"key":"ref_33","first-page":"102240","article-title":"Toward Operational Validation Systems for Global Satellite-Based Terrestrial Essential Climate Variables","volume":"95","author":"Bayat","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"9662","DOI":"10.1002\/2016GL069964","article-title":"An Initial Assessment of SMAP Soil Moisture Retrievals Using High-Resolution Model Simulations and in Situ Observations","volume":"43","author":"Pan","year":"2016","journal-title":"Geophys. Res. Lett."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Li, C., Lu, H., Yang, K., Han, M., Wright, J.S., Chen, Y., Yu, L., Xu, S., Huang, X., and Gong, W. (2018). The Evaluation of SMAP Enhanced Soil Moisture Products Using High-Resolution Model Simulations and In-Situ Observations on the Tibetan Plateau. Remote Sens., 10.","DOI":"10.3390\/rs10040535"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2658","DOI":"10.1002\/2015JD024131","article-title":"Comparison of Soil Moisture in GLDAS Model Simulations and in Situ Observations over the Tibetan Plateau","volume":"121","author":"Bi","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1080\/07055900.2000.9649648","article-title":"Towards Closing the Vertical Water Balance in Canadian Atmospheric Models: Coupling of the Land Surface Scheme Class with the Distributed Hydrological Model Watflood","volume":"38","author":"Soulis","year":"2000","journal-title":"Atmos. Ocean"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1175\/JHM-D-19-0029.1","article-title":"Impact of Lateral Groundwater Flow and Subsurface Lower Boundary Conditions on Atmospheric Boundary Layer Development over Complex Terrain","volume":"21","author":"Forrester","year":"2020","journal-title":"J. Hydrometeorol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Duygu, M.B., and Aky\u00fcrek, Z. (2019). Using Cosmic-Ray Neutron Probes in Validating Satellite Soil Moisture Products and Land Surface Models. Water, 11.","DOI":"10.3390\/w11071362"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.rse.2011.11.017","article-title":"Evaluation of Remotely Sensed and Modelled Soil Moisture Products Using Global Ground-Based in Situ Observations","volume":"118","author":"Albergel","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"7755","DOI":"10.1029\/97JC03180","article-title":"Toward the True Near-Surface Wind Speed: Error Modeling and Calibration Using Triple Collocation","volume":"103","author":"Stoffelen","year":"1998","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Caires, S., and Sterl, A. (2003). Validation of Ocean Wind and Wave Data Using Triple Collocation. J. Geophys. Res. Ocean., 108.","DOI":"10.1029\/2002JC001491"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1552","DOI":"10.1175\/JHM-D-11-089.1","article-title":"Triple Collocation of Summer Precipitation Retrievals from SEVIRI over Europe with Gridded Rain Gauge and Weather Radar Data","volume":"13","author":"Roebeling","year":"2012","journal-title":"J. Hydrometeorol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"6229","DOI":"10.1002\/2014GL061322","article-title":"Extended Triple Collocation: Estimating Errors and Correlation Coefficients with Respect to an Unknown Target","volume":"41","author":"McColl","year":"2014","journal-title":"Geophys. Res. Lett."},{"key":"ref_45","first-page":"200","article-title":"Recent Advances in (Soil Moisture) Triple Collocation Analysis","volume":"45","author":"Gruber","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"6780","DOI":"10.1109\/TGRS.2017.2734070","article-title":"Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals","volume":"55","author":"Gruber","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1109\/JSTARS.2016.2569998","article-title":"Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active\/Passive (SMAP) Level 2 Data Products","volume":"10","author":"Chen","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1175\/JHM-D-13-0158.1","article-title":"Evaluation of Assumptions in Soil Moisture Triple Collocation Analysis","volume":"15","author":"Crow","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Kreklow, J., Tetzlaff, B., Burkhard, B., and Kuhnt, G. (2020). Radar-Based Precipitation Climatology in Germany\u2014Developments, Uncertainties and Potentials. Atmosphere, 11.","DOI":"10.20944\/preprints202002.0044.v1"},{"key":"ref_50","unstructured":"(2021, July 26). Klimaatlas NRW. Available online: https:\/\/www.klimaatlas.nrw.de\/Niederschlag-Artikel."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1111\/j.1475-2743.1997.tb00550.x","article-title":"A World Dataset of Derived Soil Properties by FAO-UNESCO Soil Unit for Global Modelling","volume":"13","author":"Batjes","year":"1997","journal-title":"Soil Use Manag."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.ejrh.2015.06.018","article-title":"Determination of Spatially Differentiated Water Balance Components Including Groundwater Recharge on the Federal State Level\u2014A Case Study Using the MGROWA Model in North Rhine-Westphalia (Germany)","volume":"4","author":"Herrmann","year":"2015","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Montzka, C., Grant, J.P., Moradkhani, H., Franssen, H.-J.H., Weiherm\u00fcller, L., Drusch, M., and Vereecken, H. (2013). Estimation of Radiative Transfer Parameters from L-Band Passive Microwave Brightness Temperatures Using Advanced Data Assimilation. Vadose Zone J., 12.","DOI":"10.2136\/vzj2012.0040"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.isprsjprs.2014.02.005","article-title":"Soil Moisture Retrieval from Airborne L-Band Passive Microwave Using High Resolution Multispectral Data","volume":"91","author":"Hasan","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"3878","DOI":"10.1109\/TGRS.2016.2529659","article-title":"Investigation of SMAP Fusion Algorithms with Airborne Active and Passive L-Band Microwave Remote Sensing","volume":"54","author":"Montzka","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"934","DOI":"10.1016\/j.jhydrol.2014.07.065","article-title":"Catchment Scale Validation of SMOS and ASCAT Soil Moisture Products Using Hydrological Modeling and Temporal Stability Analysis","volume":"519","author":"Montzka","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Han, X., Hendricks Franssen, H.-J., Li, X., Zhang, Y., Montzka, C., and Vereecken, H. (2013). Joint Assimilation of Surface Temperature and L-Band Microwave Brightness Temperature in Land Data Assimilation. Vadose Zone J., 12.","DOI":"10.2136\/vzj2012.0072"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"6081","DOI":"10.1002\/2013WR014586","article-title":"Soil Moisture and Soil Properties Estimation in the Community Land Model with Synthetic Brightness Temperature Observations","volume":"50","author":"Han","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"3466","DOI":"10.1175\/MWR-D-14-00029.1","article-title":"A Scale-Consistent Terrestrial Systems Modeling Platform Based on COSMO, CLM, and ParFlow","volume":"142","author":"Shrestha","year":"2014","journal-title":"Mon. Weather. Rev."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"2509","DOI":"10.5194\/hess-21-2509-2017","article-title":"Evaluation of a Cosmic-Ray Neutron Sensor Network for Improved Land Surface Model Prediction","volume":"21","author":"Baatz","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1029\/WR014i004p00601","article-title":"Empirical Equations for Some Soil Hydraulic Properties","volume":"14","author":"Clapp","year":"1978","journal-title":"Water Resour. Res."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1029\/WR020i006p00682","article-title":"A Statistical Exploration of the Relationships of Soil Moisture Characteristics to the Physical Properties of Soils","volume":"20","author":"Cosby","year":"1984","journal-title":"Water Resour. Res."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1175\/JHM422.1","article-title":"Development of a Coupled Land Surface and Groundwater Model","volume":"6","author":"Maxwell","year":"2005","journal-title":"J. Hydrometeorol."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"892","DOI":"10.2136\/sssaj1980.03615995004400050002x","article-title":"A Closed-Form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils","volume":"44","year":"1980","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/S0022-1694(01)00466-8","article-title":"Rosetta: A Computer Program for Estimating Soil Hydraulic Parameters with Hierarchical Pedotransfer Functions","volume":"251","author":"Schaap","year":"2001","journal-title":"J. Hydrol."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/qj.2486","article-title":"Towards a High-Resolution Regional Reanalysis for the European CORDEX Domain","volume":"141","author":"Bollmeyer","year":"2015","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"3887","DOI":"10.1175\/MWR-D-10-05013.1","article-title":"Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities","volume":"139","author":"Baldauf","year":"2011","journal-title":"Mon. Weather. Rev."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"5772","DOI":"10.1002\/2015WR017169","article-title":"Footprint Characteristics Revised for Field-Scale Soil Moisture Monitoring with Cosmic-Ray Neutrons","volume":"51","author":"Zreda","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"5009","DOI":"10.5194\/hess-21-5009-2017","article-title":"Improving Calibration and Validation of Cosmic-Ray Neutron Sensors in the Light of Spatial Sensitivity","volume":"21","author":"Scheiffele","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"2030","DOI":"10.1002\/2014WR016443","article-title":"An Empirical Vegetation Correction for Soil Water Content Quantification Using Cosmic Ray Probes","volume":"51","author":"Baatz","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"7383","DOI":"10.1029\/2018WR022692","article-title":"Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions","volume":"54","author":"Jakobi","year":"2018","journal-title":"Water Resour. Res."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1016\/j.jhydrol.2016.07.004","article-title":"Soil Water Content Determination with Cosmic-Ray Neutron Sensor: Correcting Aboveground Hydrogen Effects with Thermal\/Fast Neutron Ratio","volume":"540","author":"Tian","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.jhydrol.2016.02.038","article-title":"Application of Cosmic-Ray Neutron Sensing to Monitor Soil Water Content in an Alpine Meadow Ecosystem on the Northern Tibetan Plateau","volume":"536","author":"Zhu","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"5778","DOI":"10.1002\/wrcr.20463","article-title":"Accuracy of the Cosmic-Ray Soil Water Content Probe in Humid Forest Ecosystems: The Worst Case Scenario","volume":"49","author":"Bogena","year":"2013","journal-title":"Water Resour. Res."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"180055","DOI":"10.2136\/vzj2018.03.0055","article-title":"The TERENO-Rur Hydrological Observatory: A Multiscale Multi-Compartment Research Platform for the Advancement of Hydrological Science","volume":"17","author":"Bogena","year":"2018","journal-title":"Vadose Zone J."},{"key":"ref_76","first-page":"10303","article-title":"A Universal Calibration Function for Determination of Soil Moisture with Cosmic-Ray Neutrons","volume":"9","author":"Franz","year":"2012","journal-title":"Hydrol. Earth Syst. Sci. Discuss."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"111806","DOI":"10.1016\/j.rse.2020.111806","article-title":"Validation Practices for Satellite Soil Moisture Retrievals: What Are (the) Errors?","volume":"244","author":"Gruber","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1175\/2010JHM1223.1","article-title":"Performance Metrics for Soil Moisture Retrievals and Application Requirements","volume":"11","author":"Entekhabi","year":"2010","journal-title":"J. Hydrometeorol."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"24403","DOI":"10.1029\/2008GL035599","article-title":"A Possible Solution for the Problem of Estimating the Error Structure of Global Soil Moisture Data Sets","volume":"35","author":"Scipal","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"6419","DOI":"10.1002\/2013JD021043","article-title":"Beyond Triple Collocation: Applications to Soil Moisture Monitoring","volume":"119","author":"Su","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1109\/36.406677","article-title":"Measuring Soil Moisture with Imaging Radars","volume":"33","author":"Dubois","year":"1995","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"5424","DOI":"10.1109\/TGRS.2019.2899345","article-title":"The Influence of Thermal Properties and Canopy-Intercepted Snow on Passive Microwave Transmissivity of a Scots Pine","volume":"57","author":"Li","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1109\/TGRS.2007.914788","article-title":"Flagging the Topographic Impact on the SMOS Signal","volume":"46","author":"Mialon","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Talone, M., Camps, A., Monerris, A., Vall-llossera, M., Ferrazzoli, P., and Piles, M. (2006). Surface Topography and Mixed-Pixel Effects on the Simulated L-Band Brightness Temperatures. IEEE MicroRad., 181\u2013186.","DOI":"10.1109\/MICRAD.2006.1677085"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"190036","DOI":"10.2136\/vzj2019.04.0036","article-title":"A Dielectric Mixing Model Accounting for Soil Organic Matter","volume":"18","author":"Park","year":"2019","journal-title":"Vadose Zone J."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"8068","DOI":"10.1002\/2016GL069946","article-title":"SMAP Soil Moisture Drying More Rapid than Observed in Situ Following Rainfall Events","volume":"43","author":"Shellito","year":"2016","journal-title":"Geophys. Res. Lett."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"1398","DOI":"10.1109\/TGRS.2017.2762462","article-title":"Soil Moisture Retrieval from SMAP: A Validation and Error Analysis Study Using Ground-Based Observations over the Little Washita Watershed","volume":"56","author":"Chen","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_88","unstructured":"O\u2019Neill, P., Chan, S., Bindlish, R., Jackson, T., Colliander, A., Dunbar, S., Chen, F., Piepmeier, J., Yueh, S., and Entekhabi, D. (2017, January 23\u201328). Assessment of Version 4 of the SMAP Passive Soil Moisture Standard Product. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1016\/j.rse.2009.12.011","article-title":"Effective Soil Moisture Sampling Depth of L-Band Radiometry: A Case Study","volume":"114","author":"Escorihuela","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1002\/hyp.10391","article-title":"Hyper-Resolution Global Hydrological Modelling: What Is next?: \u201cEverywhere and Locally Relevant\u201d M. F. P. Bierkens et al. Invited Commentary","volume":"29","author":"Bierkens","year":"2015","journal-title":"Hydrol. Process."},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Yair, A. (2008). Effects of Surface Runoff and Subsurface Flow on the Spatial Variability of Water Resources in Longitudinal Dunes, Springer.","DOI":"10.1007\/978-3-540-75498-5_18"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"1693","DOI":"10.1002\/2015MS000510","article-title":"Fully Coupled Atmosphere-Hydrology Simulations for the Central Mediterranean: Impact of Enhanced Hydrological Parameterization for Short and Long Time Scales","volume":"7","author":"Senatore","year":"2015","journal-title":"J. Adv. Model. Earth Syst."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"2177","DOI":"10.5194\/hess-14-2177-2010","article-title":"Cross-Evaluation of Modelled and Remotely Sensed Surface Soil Moisture with in Situ Data in Southwestern France","volume":"14","author":"Albergel","year":"2010","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"1565","DOI":"10.1029\/2018WR024039","article-title":"Comparison of Contemporary In Situ, Model, and Satellite Remote Sensing Soil Moisture With a Focus on Drought Monitoring","volume":"55","author":"Ford","year":"2019","journal-title":"Water Resour. Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3068\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:40:38Z","timestamp":1760164838000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3068"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,4]]},"references-count":94,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["rs13163068"],"URL":"https:\/\/doi.org\/10.3390\/rs13163068","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,4]]}}}