Publications

2022

Rink, Şen, Hannemann, Ködel, Nixdorf, Weber, Werban, Schrön, Kalbacher, Kolditz, (2022), An environmental exploration system for visual scenario analysis of regional hydro-meteorological systems, Computers \& Graphics, 103, 192--200, doi:10.1016/j.cag.2022.02.009

Bogena, Schrön, Jakobi, Ney, Zacharias, Andreasen, Baatz, , Boorman, Duygu, Eguibar-Galán, Fersch, Franke, Geris, Sanchis, Kerr, Korf, Mengistu, Mialon, Nasta, Nitychoruk, Pisinaras, Rasche, Rosolem, Said, Schattan, Zreda, Achleitner, Albentosa-Hernández, Akyürek, Blume, Campo, Canone, Dimitrova-Petrova, Evans, Ferraris, Frances, Gisolo, Güntner, Herrmann, Iwema, Jensen, Kunstmann, Lidón, Looms, Oswald, Panagopoulos, Patil, Power, Rebmann, Romano, Scheiffele, Seneviratne, Weltin, Vereecken, (2022), COSMOS-Europe: a European network of cosmic-ray neutron soil moisture sensors, Earth System Science Data, 14, 1125--1151, doi:10.5194/essd-14-1125-2022

Francke, Heistermann, Köhli, Budach, Schrön, Oswald, (2022), Assessing the feasibility of a directional cosmic-ray neutron sensing sensor for estimating soil moisture, Geoscientific Instrumentation, Methods and Data Systems, 11, 75--92, doi:10.5194/gi-11-75-2022

2021

Bogena, Strati, Güntner, Chew, Schrön, (2021), Editorial: Innovative Methods for Non-invasive Monitoring of Hydrological Processes From Field to Catchment Scale, Frontiers in Water, 3, 641458, doi:10.3389/frwa.2021.641458

Cooper, Blyth, Cooper, Ellis, Pinnington, Dadson, (2021), Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations, Hydrology and Earth System Sciences, 25, 2445--2458, doi:10.5194/hess-25-2445-2021

Rasche, Köhli, Schrön, Blume, Güntner, (2021), Towards disentangling heterogeneous soil moisture patterns in cosmic-ray neutron sensor footprints, Hydrology and Earth System Sciences, 25, 6547--6566, doi:10.5194/hess-25-6547-2021

Heistermann, Francke, Schrön, Oswald, (2021), Spatio-temporal soil moisture retrieval at the catchment scale using a dense network of cosmic-ray neutron sensors, Hydrology and Earth System Sciences, 25, 4807--4824, doi:10.5194/hess-25-4807-2021

Heistermann, Bogena, Francke, Güntner, Jakobi, Rasche, Schrön, Döpper, Fersch, Groh, Patil, Pütz, Reich, Zacharias, Zengerle, Oswald, (2021), Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach, Earth System Science Data, , doi:10.5194/essd-2021-445

Köhli, Weimar, Schrön, Baatz, , Schmidt, (2021), Soil Moisture and Air Humidity Dependence of the Above-Ground Cosmic-Ray Neutron Intensity, Frontiers in Water, 2, 544847, doi:10.3389/frwa.2020.544847

Pinnington, Amezcua, Cooper, Dadson, Ellis, Peng, Robinson, Morrison, Osborne, Quaife, (2021), Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data, Hydrology and Earth System Sciences, 25, 1617--1641, doi:10.5194/hess-25-1617-2021

Boeing, Rakovech, Kumar, Samaniego, Schrön, Hildebr, t, Rebmann, Thober, Müller, Zacharias, Bogena, Schneider, Kiese, Marx, (2021), High-resolution drought simulations and comparison to soil moisture observations in Germany, Hydrology and Earth System Sciences Discussions, 2021, 1--35, doi:10.5194/hess-2021-402

Montzka, Bogena, Herbst, Cosh, Jagdhuber, Vereecken, (2021), Estimating the Number of Reference Sites Necessary for the Validation of Global Soil Moisture Products, IEEE Geoscience and Remote Sensing Letters, 18, 1530--1534, doi:10.1109/lgrs.2020.3005730

Schrön, Oswald, Zacharias, Kasner, Dietrich, Attinger, (2021), Neutrons on Rails: Transregional Monitoring of Soil Moisture and Snow Water Equivalent, Geophysical Research Letters, , doi:10.1029/2021gl093924

Cooper, Bennett, Blake, Blyth, Boorman, Cooper, Evans, Fry, Jenkins, Morrison, Rylett, Stanley, Szczykulska, Trill, Antoniou, Askquith-Ellis, Ball, Brooks, Clarke, Cowan, Cumming, er, Farr, , Hitt, Lord, Scarlett, Swain, Thornton, Warwick, Winterbourn, (2021), COSMOS-UK: national soil moisture and hydrometeorology data for environmental science research, Earth System Science Data, 13, 1737--1757, doi:10.5194/essd-13-1737-2021

Power, Rico-Ramirez, Desilets, Desilets, Rosolem, (2021), Cosmic-Ray neutron Sensor PYthon tool (crspy): An open-source tool for the processing of cosmic-ray neutron and soil moisture data, Geoscientific Model Development Discussions, 2021, 1--34, doi:10.5194/gmd-2021-77

Dimitrova-Petrova, Rosolem, Soulsby, Wilkinson, Lilly, Geris, (2021), Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response, Journal of Hydrology, 601, 126659, doi:10.1016/j.jhydrol.2021.126659

Patil, Fersch, Franssen, Kunstmann, (2021), Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model, Frontiers in Water, 3, 729592, doi:10.3389/frwa.2021.729592

Brall, Mares, Bütikofer, Rühm, (2021), Assessment of neutrons from secondary cosmic rays at mountain altitudes – Geant4 simulations of environmental parameters including soil moisture and snow cover, The Cryosphere, 15, 4769--4780, doi:10.5194/tc-15-4769-2021

Pang, Jia, Peng, Ju, Gao, (2021), Applicability of cosmic-ray neutron sensing for measuring soil water content to heterogeneous landscapes under subtropical hydroclimatic conditions, Journal of Hydrology, 596, 126068, doi:10.1016/j.jhydrol.2021.126068

Iwema, Schrön, Silva, Lopes, Rosolem, (2021), Accuracy and precision of the cosmic‐ray neutron sensor for soil moisture estimation at humid environments, Hydrological Processes, , doi:10.1002/hyp.14419

Patrignani, Ochsner, Montag, Bellinger, (2021), A Novel Lithium Foil Cosmic-Ray Neutron Detector for Measuring Field-Scale Soil Moisture, Frontiers in Water, 3, 673185, doi:10.3389/frwa.2021.673185

Bogena, Schrön, Jakobi, Ney, Zacharias, Andreasen, Baatz, , Boorman, Duygu, Eguibar-Galán, Fersch, Franke, Geris, Sanchis, Kerr, Korf, Mengistu, Mialon, Nasta, Nitychoruk, Pisinaras, Rasche, Rosolem, Said, Schattan, Zreda, Achleitner, Albentosa-Hernández, Akyürek, Blume, Campo, Dimitrova-Petrova, Evans, Frances, Güntner, Herrmann, Iwema, Jensen, Kunstmann, Lidón, Looms, Oswald, Panagopoulos, Patil, Power, Rebmann, Romano, Scheiffele, Seneviratne, Weltin, Vereecken, (2021), COSMOS-Europe: A European Network of Cosmic-Ray Neutron Soil Moisture Sensors, Earth System Science Data Discussions, 2021, 1--33, doi:10.5194/essd-2021-325

2020

Filippucci, Tarpanelli, Massari, Serafini, Strati, Alberi, Raptis, ra Giulia Cristina, Mantovani, Brocca, (2020), Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data, Advances in Water Resources, 136, 103502, doi:10.1016/j.advwatres.2019.103502

Dimitrova-Petrova, Geris, Wilkinson, Rosolem, Verrot, Lilly, Soulsby, (2020), Opportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modelling, Journal of Hydrology, 586, 124878, doi:10.1016/j.jhydrol.2020.124878

Franz, Wahbi, Zhang, Vreugdenhil, Heng, Dercon, Strauss, Brocca, Wagner, (2020), Practical Data Products From Cosmic-Ray Neutron Sensing for Hydrological Applications, Frontiers in Water, 2, 9, doi:10.3389/frwa.2020.00009

Liang, Pause, Prechtel, Schramm, (2020), Regionalization of Coarse Scale Soil Moisture Products Using Fine-Scale Vegetation Indices—Prospects and Case Study, Remote Sensing, 12, 551, doi:10.3390/rs12030551

Ma, Li, McCabe, (2020), Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data, Remote Sensing, 12, 2303, doi:10.3390/rs12142303

Pang, Qin, Jiang, Fu, Yang, Lu, Qu, Li, Li, (2020), THE REVIEW OF SOIL MOISTURE MULTI-SCALE VERIFICATION METHODS, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, V-3-2020, 395--399, doi:10.5194/isprs-annals-v-3-2020-395-2020

Zhuo, Dai, Zhao, Han, (2020), Soil moisture sensor network design for hydrological applications, Hydrology and Earth System Sciences, 24, 2577--2591, doi:10.5194/hess-24-2577-2020

Vather, Everson, Franz, (2020), The applicability of the cosmic ray neutron sensor to simultaneously monitor soil water content and biomass in an acacia mearnsii forest, Hydrology, 7, 48, doi:10.3390/hydrology7030048

Schattan, Schwaizer, Schöber, Achleitner, (2020), The complementary value of cosmic-ray neutron sensing and snow covered area products for snow hydrological modelling, Remote Sensing of Environment, 239, 111603, doi:10.1016/j.rse.2019.111603

Gao, Sadeghi, Ebtehaj, (2020), Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite, Remote Sensing of Environment, 239, 111662, doi:10.1016/j.rse.2020.111662

Bogena, Herrmann, Jakobi, Brogi, Ilias, Huisman, er, Panagopoulos, Pisinaras, (2020), Monitoring of Snowpack Dynamics With Cosmic-Ray Neutron Probes: A Comparison of Four Conversion Methods, Frontiers in Water, 2, 19, doi:10.3389/frwa.2020.00019

Jakobi, Huisman, Schrön, Fiedler, Brogi, Vereecken, Bogena, (2020), Error Estimation for Soil Moisture Measurements With Cosmic Ray Neutron Sensing and Implications for Rover Surveys, Frontiers in Water, 2, 10, doi:10.3389/frwa.2020.00010

Senyurek, Lei, Boyd, Kurum, Gurbuz, Moorhead, (2020), Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS, Remote Sensing, 12, 1168, doi:10.3390/rs12071168

Saduyev, Kalikulov, Sedov, Mukhamejanov, Oskomov, Shinbulatov, Yerezhep, Zhumabayev, Utey, Baktoraz, (2020), Development of an Automated System for the Determination of the Snow Water Equivalent and Soil Moisture by the Neutron Component of Cosmic Rays, Acta Physica Polonica B, 51, 887, doi:10.5506/aphyspolb.51.887

Fersch, Francke, Heistermann, Schrön, Döpper, Jakobi, Baroni, Blume, Bogena, Budach, Gränzig, Förster, Güntner, Franssen, Kasner, y, Köhli, Kleinschmit, Kunstmann, Patil, Rasche, Scheiffele, Schmidt, Szulc-Seyfried, ra, Weimar, Zacharias, Zreda, Heber, Kiese, Mares, Mollenhauer, Völksch, Oswald, (2020), A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany, Earth System Science Data, 12, 2289--2309, doi:10.5194/essd-12-2289-2020

Fentanes, Badiee, Duckett, Evans, Pearson, Cielniak, (2020), Kriging‐based robotic exploration for soil moisture mapping using a cosmic‐ray sensor, Journal of Field Robotics, 37, 122--136, doi:10.1002/rob.21914

Mwangi, Zeng, Montzka, Yu, Su, (2020), Assimilation of Cosmic‐Ray Neutron Counts for the Estimation of Soil Ice Content on the Eastern Tibetan Plateau, Journal of Geophysical Research: Atmospheres, , doi:10.1029/2019jd031529

Jakobi, Huisman, Schrön, Fiedler, Brogi, Vereecken, Bogena, (2020), Corrigendum: Error Estimation for Soil Moisture Measurements With Cosmic Ray Neutron Sensing and Implications for Rover Surveys, Frontiers in Water, 2, 604482, doi:10.3389/frwa.2020.604482

Tan, Zhang, He, Zhu, Han, Li, (2020), Applicability of cosmic-ray neutron sensor for measuring soil moisture at the agricultural-pastoral ecotone in northwest China, Science China Earth Sciences, 63, 1730--1744, doi:10.1007/s11430-020-9650-2

Yuan, Xu, Li, Shen, Zhang, (2020), Estimating surface soil moisture from satellite observations using a generalized regression neural network trained on sparse ground-based measurements in the continental U.S, Journal of Hydrology, 580, 124351, doi:10.1016/j.jhydrol.2019.124351

Tian, Han, Bogena, Huisman, er, Montzka, Zhang, He, (2020), Estimation of subsurface soil moisture from surface soil moisture in cold mountainous areas, Hydrology and Earth System Sciences, 24, 4659--4674, doi:10.5194/hess-24-4659-2020

Fang, Lakshmi, Bindlish, Jackson, Liu, (2020), Evaluation and validation of a high spatial resolution satellite soil moisture product over the Continental United States, Journal of Hydrology, 588, 125043, doi:10.1016/j.jhydrol.2020.125043

Nasta, Bogena, Sica, Weuthen, Vereecken, Romano, (2020), Integrating Invasive and Non-invasive Monitoring Sensors to Detect Field-Scale Soil Hydrological Behavior, Frontiers in Water, 2, 26, doi:10.3389/frwa.2020.00026

2019

Woolf, Sinclair, Brabant, Harvey, Phlips, Hutcheson, Jackson, (2019), Measurement of secondary cosmic-ray neutrons near the geomagnetic North Pole, Journal of Environmental Radioactivity, 198, 189--199, doi:10.1016/j.jenvrad.2019.01.001

Duygu, Akyürek, (2019), Using Cosmic-Ray Neutron Probes in Validating Satellite Soil Moisture Products and Land Surface Models, Water, 11, 1362, doi:10.3390/w11071362

Bauer-Marschallinger, Freeman, Cao, Paulik, Schaufler, Stachl, Modanesi, Massari, Ciabatta, Brocca, Wagner, (2019), Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles, IEEE Transactions on Geoscience and Remote Sensing, 57, 520--539, doi:10.1109/tgrs.2018.2858004

Emmerson, Palmer, Thatcher, Haverd, Guenther, (2019), Sensitivity of isoprene emissions to drought over south-eastern Australia: Integrating models and satellite observations of soil moisture, Atmospheric Environment, 209, 112--124, doi:10.1016/j.atmosenv.2019.04.038

Schattan, Köhli, Schrön, Baroni, Oswald, (2019), Sensing Area‐Average Snow Water Equivalent with Cosmic‐Ray Neutrons: The Influence of Fractional Snow Cover, Water Resources Research, 55, 10796--10812, doi:10.1029/2019wr025647

Liao, Wang, Wang, Xia, Liu, (2019), Quality Control and Evaluation of the Observed Daily Data in the North American Soil Moisture Database, Journal of Meteorological Research, 33, 501--518, doi:10.1007/s13351-019-8121-2

Myeni, Moeletsi, Clulow, (2019), Present status of soil moisture estimation over the African continent, Journal of Hydrology: Regional Studies, 21, 14--24, doi:10.1016/j.ejrh.2018.11.004

Brunetti, Šimůnek, Bogena, Baatz, , Huisman, er, Dahlke, Vereecken, (2019), On the Information Content of Cosmic‐Ray Neutron Data in the Inverse Estimation of Soil Hydraulic Properties, Vadose Zone Journal, 18, 1--24, doi:10.2136/vzj2018.06.0123

Kathuria, Mohanty, Katzfuss, (2019), Multiscale Data Fusion for Surface Soil Moisture Estimation: A Spatial Hierarchical Approach, Water Resources Research, 55, 10443--10465, doi:10.1029/2018wr024581

Ochsner, Linde, Haffner, Dong, (2019), Mesoscale Soil Moisture Patterns Revealed Using a Sparse In Situ Network and Regression Kriging, Water Resources Research, 55, 4785--4800, doi:10.1029/2018wr024535

Nasta, Schönbrodt-Stitt, Bogena, Kurtenbach, Ahmadian, Vereecken, Conrad, Romano, (2019), Integrating ground-based and remote sensing-based monitoring of near-surface soil moisture in a Mediterranean environment, 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 00, 274--279, doi:10.1109/metroagrifor.2019.8909226

Peterson, Helgason, Ireson, (2019), How Spatial Patterns of Soil Moisture Dynamics Can Explain Field‐Scale Soil Moisture Variability: Observations From a Sodic Landscape, Water Resources Research, 55, 4410--4426, doi:10.1029/2018wr023329

Li, Schrön, Köhli, Bogena, Weimar, Bello, Han, Gimeno, Zacharias, Vereecken, Franssen, (2019), Can Drip Irrigation be Scheduled with Cosmic‐Ray Neutron Sensing?, Vadose Zone Journal, 18, 190053, doi:10.2136/vzj2019.05.0053

Zhang, Kim, Sharma, (2019), A comprehensive validation of the SMAP Enhanced Level-3 Soil Moisture product using ground measurements over varied climates and landscapes, Remote Sensing of Environment, 223, 82--94, doi:10.1016/j.rse.2019.01.015

Stevanato, Baroni, Cohen, Lino, Gatto, Lunardon, Marinello, Moretto, ra, Morselli, (2019), A Novel Cosmic-Ray Neutron Sensor for Soil Moisture Estimation over Large Areas, Agriculture, 9, 202, doi:10.3390/agriculture9090202

Tian, Song, (2019), Application of Cosmic-Ray Neutron Sensing to Monitor Soil Water Content in Agroecosystem in North China Plain, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 00, 7053--7056, doi:10.1109/igarss.2019.8900107

Vather, Everson, Franz, (2019), Calibration and Validation of the Cosmic Ray Neutron Rover for Soil Water Mapping within Two South African Land Classes, Hydrology, 6, 65, doi:10.3390/hydrology6030065

Wang, Fan, Wang, Yong, Ge, You, (2019), Application and accuracy of cosmic-ray neutron probes in three soil textures on the Loess Plateau, China, Journal of Hydrology, 569, 449--461, doi:10.1016/j.jhydrol.2018.11.073

Gugerli, Salzmann, Huss, Desilets, (2019), Continuous and autonomous snow water equivalent measurements by a cosmic ray sensor on an alpine glacier, The Cryosphere, 13, 3413--3434, doi:10.5194/tc-13-3413-2019

Vinodkumar, Dharssi, (2019), Evaluation and calibration of a high-resolution soil moisture product for wildfire prediction and management, Agricultural and Forest Meteorology, 264, 27--39, doi:10.1016/j.agrformet.2018.09.012

Nguyen, Jeong, Choi, (2019), Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors, Journal of Hydrology, 571, 679--696, doi:10.1016/j.jhydrol.2019.02.018

Babaeian, Sadeghi, Jones, Montzka, Vereecken, Tuller, (2019), Ground, Proximal, and Satellite Remote Sensing of Soil Moisture, Reviews of Geophysics, 57, 530--616, doi:10.1029/2018rg000618

2018

Dong, Ochsner, (2018), Soil Texture Often Exerts a Stronger Influence Than Precipitation on Mesoscale Soil Moisture Patterns, Water Resources Research, 54, 2199--2211, doi:10.1002/2017wr021692

Babaeian, Sadeghi, Franz, Jones, Tuller, (2018), Mapping soil moisture with the OPtical TRApezoid Model (OPTRAM) based on long-term MODIS observations, Remote Sensing of Environment, 211, 425--440, doi:10.1016/j.rse.2018.04.029

Wagner, Oswald, Frick, (2018), Multitemporal soil moisture monitoring by use of optical remote sensing data in a dike relocation area, Remote Sensing for Agriculture, Ecosystems, and Hydrology XX, 10783, 107831V, doi:10.1117/12.2325319

Köhli, Schrön, Schmidt, (2018), Response functions for detectors in cosmic ray neutron sensing, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 902, 184--189, doi:10.1016/j.nima.2018.06.052

Purdy, Fisher, Goulden, Colli, er, Halverson, Tu, Famiglietti, (2018), SMAP soil moisture improves global evapotranspiration, Remote Sensing of Environment, 219, 1--14, doi:10.1016/j.rse.2018.09.023

Badewa, Unc, Cheema, Kavanagh, Galagedara, (2018), Soil Moisture Mapping Using Multi-Frequency and Multi-Coil Electromagnetic Induction Sensors on Managed Podzols, Agronomy, 8, 224, doi:10.3390/agronomy8100224

Chew, Small, (2018), Soil Moisture Sensing Using Spaceborne GNSS Reflections: Comparison of CYGNSS Reflectivity to SMAP Soil Moisture, Geophysical Research Letters, 45, 4049--4057, doi:10.1029/2018gl077905

Wang, Smith, Macdonald, Hunt, Xing, Denmead, Zeglin, Zhao, Isaac, (2018), Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance, Agricultural Water Management, 204, 271--280, doi:10.1016/j.agwat.2018.04.017

Cai, Pang, Fu, (2018), Spatial feature analysis of a cosmic-ray sensor for measuring the soil water content: Comparison of four weighting methods, Physics and Chemistry of the Earth, Parts A/B/C, 104, 28--38, doi:10.1016/j.pce.2018.02.001

Gibson, Franz, (2018), Spatial prediction of near surface soil water retention functions using hydrogeophysics and empirical orthogonal functions, Journal of Hydrology, 561, 372--383, doi:10.1016/j.jhydrol.2018.03.046

Fersch, Jagdhuber, Schrön, Völksch, Jäger, (2018), Synergies for Soil Moisture Retrieval Across Scales From Airborne Polarimetric SAR, Cosmic Ray Neutron Roving, and an In Situ Sensor Network, Water Resources Research, 54, 9364--9383, doi:10.1029/2018wr023337

Baroni, Scheiffele, Schrön, Ingwersen, Oswald, (2018), Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing, Journal of Hydrology, 564, 873--887, doi:10.1016/j.jhydrol.2018.07.053

Schrön, Zacharias, Womack, Köhli, Desilets, Oswald, Bumberger, Mollenhauer, Kögler, Remmler, Kasner, y, Denk, Dietrich, (2018), Intercomparison of cosmic-ray neutron sensors and water balance monitoring in an urban environment, Geoscientific Instrumentation, Methods and Data Systems, 7, 83--99, doi:10.5194/gi-7-83-2018

Dick, Tetzlaff, Bradford, Soulsby, (2018), Using repeat electrical resistivity surveys to assess heterogeneity in soil moisture dynamics under contrasting vegetation types, Journal of Hydrology, 559, 684--697, doi:10.1016/j.jhydrol.2018.02.062

Togliatti, Hornbuckle, (2018), Using a Cosmic-Ray Neutron Sensor (CRNS) to Monitor Vegetation, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 00, 7365--7368, doi:10.1109/igarss.2018.8518001

Zhu, Cao, Shao, Liang, (2018), Footprint radius of a cosmic-ray neutron probe for measuring soil-water content and its spatiotemporal variability in an alpine meadow ecosystem, Journal of Hydrology, 558, 1--8, doi:10.1016/j.jhydrol.2018.01.022

Chen, Crow, Bindlish, Colli, er, Burgin, Asanuma, Aida, (2018), Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation, Remote Sensing of Environment, 214, 1--13, doi:10.1016/j.rse.2018.05.008

Jakobi, Huisman, Vereecken, Diekkrüger, Bogena, (2018), Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions, Water Resources Research, 54, 7383--7402, doi:10.1029/2018wr022692

Montzka, Rötzer, Bogena, Sanchez, Vereecken, (2018), A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability, Remote Sensing, 10, 427, doi:10.3390/rs10030427

Pablos, González-Zamora, Sánchez, Martínez-Fernández, (2018), Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS Observations, Remote Sensing, 10, 981, doi:10.3390/rs10070981

Howat, Peña, Desilets, Womack, (2018), Autonomous ice sheet surface mass balance measurements from cosmic rays, The Cryosphere, 12, 2099--2108, doi:10.5194/tc-12-2099-2018

Nuntiyakul, Sáiz, Ruffolo, Mangeard, Evenson, Bieber, Clem, Pyle, Duldig, Humble, (2018), Bare Neutron Counter and Neutron Monitor Response to Cosmic Rays During a 1995 Latitude Survey, Journal of Geophysical Research: Space Physics, 123, 7181--7195, doi:10.1029/2017ja025135

Kearney, Maino, (2018), Can next-generation soil data products improve soil moisture modelling at the continental scale? An assessment using a new microclimate package for the R programming environment, Journal of Hydrology, 561, 662--673, doi:10.1016/j.jhydrol.2018.04.040

Kim, Parinussa, Konings, ra G., Wagner, Cosh, Lakshmi, Zohaib, Choi, (2018), Global-scale assessment and combination of SMAP with ASCAT (active) and AMSR2 (passive) soil moisture products, Remote Sensing of Environment, 204, 260--275, doi:10.1016/j.rse.2017.10.026

Rüdiger, Monerris, ra, McJannet, Renzullo, Vreugdenhil, Wagner, (2018), Comparison of Different High-Resolution Soil Moisture Products Across an Agricultural Landscape in South-Eastern Australia, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 00, 3727--3730, doi:10.1109/igarss.2018.8518208

Schrön, Rosolem, Köhli, Piussi, Schröter, Iwema, Kögler, Oswald, Wollschläger, Samaniego, Dietrich, Zacharias, (2018), Cosmic‐ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads, Water Resources Research, 54, 6441--6459, doi:10.1029/2017wr021719

Jin, Ge, Wang, Chen, Heuvelink, Atkinson, (2018), Downscaling AMSR-2 Soil Moisture Data With Geographically Weighted Area-to-Area Regression Kriging, IEEE Transactions on Geoscience and Remote Sensing, 56, 2362--2376, doi:10.1109/tgrs.2017.2778420

Nasta, Penna, Brocca, Zuecco, Romano, (2018), Downscaling near-surface soil moisture from field to plot scale: A comparative analysis under different environmental conditions, Journal of Hydrology, 557, 97--108, doi:10.1016/j.jhydrol.2017.12.017

Adeyemi, Grove, Peets, Domun, Norton, (2018), Dynamic Neural Network Modelling of Soil Moisture Content for Predictive Irrigation Scheduling, Sensors, 18, 3408, doi:10.3390/s18103408

Petropoulos, Srivastava, Piles, Pearson, (2018), Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management, Sustainability, 10, 181, doi:10.3390/su10010181

Jagdhuber, Fersch, Schrön, Jäger, Voormansik, Lopez-Martinez, (2018), Field-Scale Assessment of Multi-Sensor Soil Moisture Retrieval Under Grassland, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 00, 6111--6114, doi:10.1109/igarss.2018.8517560

2017

Brocca, Ciabatta, Massari, Camici, Tarpanelli, (2017), Soil Moisture for Hydrological Applications: Open  Questions and New Opportunities, Water, 9, 140, doi:10.3390/w9020140

Raffelli, Previati, Canone, Gisolo, Bevilacqua, Capello, Biddoccu, Cavallo, Deiana, Cassiani, Ferraris, (2017), Local- and Plot-Scale Measurements of Soil Moisture: Time and Spatially Resolved Field Techniques in Plain, Hill and Mountain Sites, Water, 9, 706, doi:10.3390/w9090706

McJannet, Hawdon, Baker, Renzullo, Searle, (2017), Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors, Hydrology and Earth System Sciences, 21, 6049--6067, doi:10.5194/hess-21-6049-2017

Cui, Xu, Zeng, Chen, Bai, Lu, Chen, Zhao, (2017), Soil Moisture Mapping from Satellites: An Intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over Two Dense Network Regions at Different Spatial Scales, Remote Sensing, 10, 33, doi:10.3390/rs10010033

Mohanty, Cosh, Lakshmi, Montzka, (2017), Soil Moisture Remote Sensing: State‐of‐the‐Science, Vadose Zone Journal, 16, 1--9, doi:10.2136/vzj2016.10.0105

Barker, Franz, Heeren, Neale, Luck, (2017), Soil water content monitoring for irrigation management: A geostatistical analysis, Agricultural Water Management, 188, 36--49, doi:10.1016/j.agwat.2017.03.024

Tian, Tregoning, Renzullo, Dijk, Walker, Pauwels, Allgeyer, (2017), Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals, Water Resources Research, 53, 1820--1840, doi:10.1002/2016wr019641

Wang, Liu, Franz, Li, Lang, Fiebrich, (2017), Spatial patterns of soil moisture from two regional monitoring networks in the United States, Journal of Hydrology, 552, 578--585, doi:10.1016/j.jhydrol.2017.07.035

Andreasen, Jensen, Desilets, Franz, Zreda, Bogena, Looms, (2017), Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications, Vadose Zone Journal, 16, 1--11, doi:10.2136/vzj2017.04.0086

Ragab, Evans, Battilani, Solim, o, (2017), The Cosmic‐ray Soil Moisture Observation System (Cosmos) for Estimating the Crop Water Requirement: New Approach, Irrigation and Drainage, 66, 456--468, doi:10.1002/ird.2152

Schalie, Jeu, Kerr, Wigneron, Rodríguez-Fernández, Al-Yaari, Parinussa, Mecklenburg, Drusch, (2017), The merging of radiative transfer based surface soil moisture data from SMOS and AMSR-E, Remote Sensing of Environment, 189, 180--193, doi:10.1016/j.rse.2016.11.026

Jin, Li, Liu, (2017), Understanding the Heterogeneity of Soil Moisture and Evapotranspiration Using Multiscale Observations From Satellites, Airborne Sensors, and a Ground-Based Observation Matrix, IEEE Geoscience and Remote Sensing Letters, 14, 2132--2136, doi:10.1109/lgrs.2017.2754961

Holgate, Dijk, Cary, Yebra, (2017), Using alternative soil moisture estimates in the McArthur Forest Fire Danger Index, International Journal of Wildland Fire, 26, 806, doi:10.1071/wf16217

Montzka, Bogena, Zreda, Monerris, ra, Morrison, Muddu, Vereecken, (2017), Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes, Remote Sensing, 9, 103, doi:10.3390/rs9020103

Schrön, Köhli, Scheiffele, Iwema, Bogena, Lv, Martini, Baroni, Rosolem, Weimar, Mai, Cuntz, Rebmann, Oswald, Dietrich, Schmidt, Zacharias, (2017), Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity, Hydrology and Earth System Sciences, 21, 5009--5030, doi:10.5194/hess-21-5009-2017

Iwema, Rosolem, Rahman, Blyth, Wagener, (2017), Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration, Hydrology and Earth System Sciences, 21, 2843--2861, doi:10.5194/hess-21-2843-2017

Xie, Rosolem, (2017), Impact of Multi-Day Field Calibration of Novel Cosmic-Ray Soil Moisture Sensors, 2017 IEEE SENSORS, , doi:10.1109/icsens.2017.8234232

Montzka, Bogena, Zreda, Monerris, ra, Morrison, Muddu, Vereecken, (2017), Cosmic-Ray Neutron Probes for Satellite Soil Moisture Validation, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), , doi:10.1109/igarss.2017.8127866

Peng, Loew, er, Merlin, Verhoest, (2017), A review of spatial downscaling of satellite remotely sensed soil moisture, Reviews of Geophysics, 55, 341--366, doi:10.1002/2016rg000543

Zhu, Shao, Jia, Huang, Zhu, Zhang, (2017), Application of temporal stability analysis in depth-scaling estimated soil water content by cosmic-ray neutron probe on the northern Tibetan Plateau, Journal of Hydrology, 546, 299--308, doi:10.1016/j.jhydrol.2017.01.019

Lawston, Jr., Franz, Rodell, (2017), Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets, Hydrology and Earth System Sciences, 21, 2953--2966, doi:10.5194/hess-21-2953-2017

Liu, Yang, Jing, Yue, (2017), Comparison of Different Machine Learning Approaches for Monthly Satellite-Based Soil Moisture Downscaling over Northeast China, Remote Sensing, 10, 31, doi:10.3390/rs10010031

Vinodkumar, Dharssi, Bally, Steinle, McJannet, Walker, (2017), Comparison of soil wetness from multiple models over Australia with observations, Water Resources Research, 53, 633--646, doi:10.1002/2015wr017738

Schattan, Baroni, Oswald, Schöber, Fey, Kormann, Huttenlau, Achleitner, (2017), Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing, Water Resources Research, 53, 3615--3634, doi:10.1002/2016wr020234

Foolad, Franz, Wang, Gibson, Kilic, Allen, Suyker, (2017), Feasibility analysis of using inverse modeling for estimating field-scale evapotranspiration in maize and soybean fields from soil water content monitoring networks, Hydrology and Earth System Sciences, 21, 1263--1277, doi:10.5194/hess-21-1263-2017

Andreasen, Jensen, Desilets, Zreda, Bogena, Looms, (2017), Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception, Hydrology and Earth System Sciences, 21, 1875--1894, doi:10.5194/hess-21-1875-2017

Hutcheson, Grove, Mitchell, Phlips, Woolf, Wulf, (2017), Effects of rain and soil moisture on background neutron measurements with the SuperMISTI neutron array, Radiation Measurements, 99, 50--59, doi:10.1016/j.radmeas.2017.03.029

Wang, Franz, You, Shulski, Ray, (2017), Evaluating controls of soil properties and climatic conditions on the use of an exponential filter for converting near surface to root zone soil moisture contents, Journal of Hydrology, 548, 683--696, doi:10.1016/j.jhydrol.2017.03.055

Baatz, , Franssen, Han, Hoar, Bogena, Vereecken, (2017), Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction, Hydrology and Earth System Sciences, 21, 2509--2530, doi:10.5194/hess-21-2509-2017

Nguyen, Kim, Choi, (2017), Evaluation of the soil water content using cosmic-ray neutron probe in a heterogeneous monsoon climate-dominated region, Advances in Water Resources, 108, 125--138, doi:10.1016/j.advwatres.2017.07.020

Zhu, Shi, Zhu, Zhang, Huang, Williams, (2017), Data assimilation of soil water flow via ensemble Kalman filter: Infusing soil moisture data at different scales, Journal of Hydrology, 555, 912--925, doi:10.1016/j.jhydrol.2017.10.078

2016

Tian, Li, Liu, Li, Ren, (2016), Soil water content determination with cosmic-ray neutron sensor : Correcting aboveground hydrogen effects with thermal / fast neutron ratio, Journal of Hydrology, 540, 923--933, doi:10.1016/j.jhydrol.2016.07.004

Andreasen, Jensen, Zreda, Desilets, Bogena, Looms, (2016), Modeling cosmic ray neutron field measurements, Water Resources Research, 52, 6451--6471, doi:10.1002/2015wr018236

Ruffolo, Sáiz, Mangeard, Kamyan, Muangha, Nutaro, Sumran, Chaiwattana, Gasiprong, Channok, Wuttiya, Rujiwarodom, Tooprakai, Asavapibhop, Bieber, Clem, Evenson, Munakata, (2016), MONITORING SHORT-TERM COSMIC-RAY SPECTRAL VARIATIONS USING NEUTRON MONITOR TIME-DELAY MEASUREMENTS, The Astrophysical Journal, 817, 38, doi:10.3847/0004-637x/817/1/38

Sigouin, Dyck, Si, Hu, (2016), Monitoring soil water content at a heterogeneous oil sand reclamation site using a cosmic-ray soil moisture probe, Journal of Hydrology, 543, 510--522, doi:10.1016/j.jhydrol.2016.10.026

Rakovec, Kumar, Mai, Cuntz, Thober, Zink, Attinger, Schäfer, Schrön, Samaniego, (2016), Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins, Journal of Hydrometeorology, 17, 287--307, doi:10.1175/jhm-d-15-0054.1

Han, Franssen, Bello, Rosolem, Bogena, Alzamora, o Martínez, Chanzy, Vereecken, (2016), Simultaneous soil moisture and properties estimation for a drip irrigated field by assimilating cosmic-ray neutron intensity, Journal of Hydrology, 539, 611--624, doi:10.1016/j.jhydrol.2016.05.050

Bircher, Andreasen, Vuollet, Vehviläinen, Rautiainen, Jonard, Weihermüller, Zakharova, Wigneron, Kerr, (2016), Soil moisture sensor calibration for organic soil surface layers, Geoscientific Instrumentation, Methods and Data Systems, 5, 109--125, doi:10.5194/gi-5-109-2016

Wolf, Chwala, Fersch, Garvelmann, Junkermann, Zeeman, Angerer, Adler, Beck, Brosy, Brugger, Emeis, Dannenmann, Roo, Diaz-Pines, Haas, Hagen, Hajnsek, Jacobeit, Jagdhuber, Kalthoff, Kiese, Kunstmann, Kosak, Krieg, Malchow, Mauder, Merz, Notarnicola, Philipp, Reif, Reineke, Rödiger, Ruehr, Schäfer, Schrön, Senatore, Shupe, Völksch, Wanninger, Zacharias, Schmid, (2016), The ScaleX campaign: scale-crossing land-surface and boundary layer processes in the TERENO-preAlpine observatory, Bulletin of the American Meteorological Society, 98, 1217--1234, doi:10.1175/bams-d-15-00277.1

Evans, Ward, Blake, Hewitt, Morrison, Fry, Ball, Doughty, Libre, Hitt, Rylett, Ellis, Warwick, Brooks, Parkes, Wright, Singer, Boorman, Jenkins, Evans, Libre, Jenkins, Rylett, Singer, Warwick, Morrison, Ward, Ellis, Ball, Hewitt, Fry, Parkes, Boorman, Hitt, Brooks, Wright, Doughty, (2016), Soil water content in southern England derived from a cosmic-ray soil moisture observing system - COSMOS-UK, Hydrological Processes, 30, 4987--4999, doi:10.1002/hyp.10929

Kim, Lee, Kim, Choi, (2016), Spatial composition of AMSR2 soil moisture products by conditional merging technique with ground soil moisture data, Stochastic Environmental Research and Risk Assessment, 30, 2109--2126, doi:10.1007/s00477-016-1300-0

Cosh, Ochsner, McKee, Dong, Basara, Evett, Hatch, Small, Steele-Dunne, Zreda, Sayde, (2016), The Soil Moisture Active Passive Marena, Oklahoma, In Situ Sensor Testbed (SMAP‐MOISST): Testbed Design and Evaluation of In Situ Sensors, Vadose Zone Journal, 15, 1--11, doi:10.2136/vzj2015.09.0122

Heidbuchel, Guntner, Blume, (2016), Use of cosmic-ray neutron sensors for soil moisture monitoring in forests, Hydrology and Earth System Sciences, 20, 1269--1288, doi:10.5194/hess-20-1269-2016

Franz, Wahbi, Vreugdenhil, Weltin, Heng, Oismueller, Strauss, Dercon, Desilets, (2016), Using Cosmic-Ray Neutron Probes to Monitor Landscape Scale Soil Water Content in Mixed Land Use Agricultural Systems, Applied and Environmental Soil Science, 2016, 1--11, doi:10.1155/2016/4323742

Koch, Cornelissen, Fang, Bogena, Diekkrüger, Kollet, Stisen, (2016), Inter-comparison of three distributed hydrological models with respect to seasonal variability of soil moisture patterns at a small forested catchment, Journal of Hydrology, 533, 234--249, doi:10.1016/j.jhydrol.2015.12.002

Pang, Cai, Fu, Song, Lu, (2016), Measuring and Verifying of Soil Moisture in Desert Steppe from Different Spatial Scaling, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), , doi:10.1109/igarss.2016.7729771

Jana, Ershadi, McCabe, (2016), Examining the relationship between intermediate-scale soil moisture and terrestrial evaporation within a semi-arid grassland, Hydrology and Earth System Sciences, 20, 3987--4004, doi:10.5194/hess-20-3987-2016

Avery, er, Finkenbiner, Franz, Wang, Nguy-Robertson, Suyker, Arkebauer, Muñoz-Arriola, (2016), Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content, Hydrology and Earth System Sciences, 20, 3859--3872, doi:10.5194/hess-20-3859-2016

Holgate, Jeu, Dijk, Liu, Renzullo, Vinodkumar, Dharssi, Parinussa, Schalie, Gevaert, Walker, McJannet, Cleverly, Haverd, Trudinger, Briggs, (2016), Comparison of remotely sensed and modelled soil moisture data sets across Australia, Remote Sensing of Environment, 186, 479--500, doi:10.1016/j.rse.2016.09.015

Sato, (2016), Analytical Model for Estimating the Zenith Angle Dependence of Terrestrial Cosmic Ray Fluxes, PLoS ONE, 11, e0160390, doi:10.1371/journal.pone.0160390

Zhu, Shao, Zeng, Jia, Huang, Zhang, Zhu, (2016), Application of cosmic-ray neutron sensing to monitor soil water content in an alpine meadow ecosystem on the northern Tibetan Plateau, Journal of Hydrology, 536, 247--254, doi:10.1016/j.jhydrol.2016.02.038

Sigouin, Si, (2016), Calibration of a non-invasive cosmic-ray probe for wide area snow water equivalent measurement, The Cryosphere, 10, 1181--1190, doi:10.5194/tc-10-1181-2016

Andreasen, Jensen, Desilets, Zreda, Bogena, Looms, (2016), Can canopy interception and biomass be inferred from cosmic-ray neutron intensity? Results from neutron transport modeling, Hydrology and Earth System Sciences Discussions, , doi:10.5194/hess-2016-226

Martens, Miralles, Lievens, Fernández-Prieto, Verhoest, (2016), Improving terrestrial evaporation estimates over continental Australia through assimilation of SMOS soil moisture, International Journal of Applied Earth Observation and Geoinformation, 48, 146--162, doi:10.1016/j.jag.2015.09.012

Kędzior, Zawadzki, (2016), Comparative study of soil moisture estimations from SMOS satellite mission, GLDAS database, and cosmic-ray neutrons measurements at COSMOS station in Eastern Poland, Geoderma, 283, 21--31, doi:10.1016/j.geoderma.2016.07.023

Yan, Moradkhani, (2016), Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling, Advances in Water Resources, 94, 364--378, doi:10.1016/j.advwatres.2016.06.002

Dirmeyer, Wu, Norton, Dorigo, Quiring, Ford, Santanello, Bosilovich, Ek, Koster, al D., Balsamo, Lawrence, (2016), Confronting weather and climate models with observational data from soil moisture networks over the United States, Journal of Hydrometeorology, 17, 1049--1067, doi:10.1175/jhm-d-15-0196.1

Kim, Sunwoo, Kim, Choi, (2016), Construction and estimation of soil moisture site with FDR and COSMIC-ray (SM-FC) sensors for calibration/validation of satellite-based and COSMIC-ray soil moisture products in Sungkyunkwan university, South Korea, Journal of Korea Water Resources Association, 49, 133--144, doi:10.3741/jkwra.2016.49.2.133

Im, Park, Rhee, Baik, Choi, (2016), Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches, Environmental Earth Sciences, 75, 1120, doi:10.1007/s12665-016-5917-6

Peterson, Helgason, Ireson, (2016), Estimating field-scale root zone soil moisture using the cosmic-ray neutron probe, Hydrology and Earth System Sciences, 20, 1373--1385, doi:10.5194/hess-20-1373-2016

Wu, Liu, Wang, Deng, (2016), Evaluation of AMSR2 soil moisture products over the contiguous United States using in situ data from the International Soil Moisture Network, International Journal of Applied Earth Observation and Geoinformation, 45, 187--199, doi:10.1016/j.jag.2015.10.011

Pang, Cai, Fu, Song, Lu, (2016), Geo-Informatics in Resource Management and Sustainable Ecosystem, Third International Conference, GRMSE 2015, Wuhan, China, October 16-18, 2015, Revised Selected Papers, Communications in Computer and Information Science, , doi:10.1007/978-3-662-49155-3\_84

2015

Han, Franssen, Rosolem, Jin, Li, Vereecken, (2015), Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: a study in the Heihe Catchment, China, Hydrology and Earth System Sciences, 19, 615--629, doi:10.5194/hess-19-615-2015

Korres, Reichenau, Fiener, Koyama, Bogena, Cornelissen, Baatz, Herbst, Diekkrüger, Vereecken, Schneider, (2015), Spatio-temporal soil moisture patterns – A meta-analysis using plot to catchment scale data, Journal of Hydrology, 520, 326--341, doi:10.1016/j.jhydrol.2014.11.042

Zhu, Tan, Gao, Jiao, (2015), Observation on Soil Moisture of Irrigation Cropland by Cosmic-Ray Probe, IEEE Geoscience and Remote Sensing Letters, 12, 472--476, doi:10.1109/lgrs.2014.2346784

Iwema, Rosolem, Baatz, Wagener, Bogena, (2015), Investigating temporal field sampling strategies for site-specific calibration of three soil moisture – neutron intensity parameterisation methods, Hydrology and Earth System Sciences, 19, 3203--3216, doi:10.5194/hess-19-3203-2015

Köhli, Schrön, Zreda, Schmidt, Dietrich, Zacharias, (2015), Footprint characteristics revised for field‐scale soil moisture monitoring with cosmic‐ray neutrons, Water Resources Research, 51, 5772--5790, doi:10.1002/2015wr017169

Dorigo, Gruber, Jeu, Wagner, Stacke, Loew, Albergel, Brocca, Chung, Parinussa, Kidd, (2015), Evaluation of the ESA CCI soil moisture product using ground-based observations, Remote Sensing of Environment, 162, 380--395, doi:10.1016/j.rse.2014.07.023

Bogena, Huisman, Güntner, Hübner, Kusche, Jonard, Vey, Vereecken, (2015), Emerging methods for noninvasive sensing of soil moisture dynamics from field to catchment scale: a review, Wiley Interdisciplinary Reviews: Water, 2, 635--647, doi:10.1002/wat2.1097

Rondinelli, Hornbuckle, Patton, Cosh, Walker, Carr, Logsdon, (2015), Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network, Journal of Hydrometeorology, 16, 889--903, doi:10.1175/jhm-d-14-0137.1

Calamita, Perrone, Brocca, Onorati, Manfreda, (2015), Field test of a multi-frequency electromagnetic induction sensor for soil moisture monitoring in southern Italy test sites, Journal of Hydrology, 529, 316--329, doi:10.1016/j.jhydrol.2015.07.023

Coopersmith, Cosh, Bindlish, Bell, (2015), Comparing AMSR-E soil moisture estimates to the extended record of the U.S. Climate Reference Network (USCRN), Advances in Water Resources, 85, 79--85, doi:10.1016/j.advwatres.2015.09.003

Schreiner-McGraw, Vivoni, Mascaro, Franz, (2015), Closing the water balance with cosmic-ray soil moisture measurements and assessing their relation to evapotranspiration in two semiarid watersheds, Hydrology and Earth System Sciences, 20, 329--345, doi:10.5194/hess-20-329-2016

Xia, Ford, Wu, Quiring, Ek, (2015), Automated Quality Control of In Situ Soil Moisture from the North American Soil Moisture Database Using NLDAS-2 Products, Journal of Applied Meteorology and Climatology, 54, 1267--1282, doi:10.1175/jamc-d-14-0275.1

Baatz, Bogena, Franssen, Huisman, Montzka, Vereecken, (2015), An empirical vegetation correction for soil water content quantification using cosmic ray probes, Water Resources Research, 51, 2030--2046, doi:10.1002/2014wr016443

Baroni, Oswald, (2015), A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing, Journal of Hydrology, 525, 264--276, doi:10.1016/j.jhydrol.2015.03.053

Ranney, Niemann, Lehman, on M., Green, Jones, (2015), A method to downscale soil moisture to fine resolutions using topographic, vegetation, and soil data, Advances in Water Resources, 76, 81--96, doi:10.1016/j.advwatres.2014.12.003

Kim, Liu, Johnson, Parinussa, Sharma, (2015), A global comparison of alternate AMSR2 soil moisture products: Why do they differ?, Remote Sensing of Environment, 161, 43--62, doi:10.1016/j.rse.2015.02.002

Franz, Wang, Avery, Finkenbiner, Brocca, (2015), Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real‐time monitoring, Geophysical Research Letters, 42, 3389--3396, doi:10.1002/2015gl063963

2014

Han, Franssen, Montzka, Vereecken, (2014), Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations, Water Resources Research, 50, 6081--6105, doi:10.1002/2013wr014586

Alonso-Arroyo, Camps, Aguasca, Forte, Monerris, Rdiger, Walker, Park, Pascual, Onrubia, (2014), Improving the Accuracy of Soil Moisture Retrievals Using the Phase Difference of the Dual-Polarization GNSS-R Interference Patterns, IEEE Geoscience and Remote Sensing Letters, 11, 2090--2094, doi:10.1109/lgrs.2014.2320052

Villarreyes, Baroni, Oswald, (2014), Inverse modelling of cosmic‐ray soil moisture for field‐scale soil hydraulic parameters, European Journal of Soil Science, 65, 876--886, doi:10.1111/ejss.12162

Lv, Franz, Robinson, Jones, (2014), Measured and Modeled Soil Moisture Compared with Cosmic‐Ray Neutron Probe Estimates in a Mixed Forest, Vadose Zone Journal, 13, 1--13, doi:10.2136/vzj2014.06.0077

Vereecken, Huisman, Pachepsky, Montzka, Kruk, Bogena, Weihermüller, Herbst, Martinez, V, erborght, (2014), On the spatio-temporal dynamics of soil moisture at the field scale, Journal of Hydrology, 516, 76--96, doi:10.1016/j.jhydrol.2013.11.061

Cornelissen, Diekkrüger, Bogena, (2014), Significance of scale and lower boundary condition in the 3D simulation of hydrological processes and soil moisture variability in a forested headwater catchment, Journal of Hydrology, 516, 140--153, doi:10.1016/j.jhydrol.2014.01.060

Jiao, Zhu, Du, (2014), Theory and application of measuring mesoscale soil moisture by cosmic-ray fast neutron probe, IOP Conference Series: Earth and Environmental Science, 17, 012147, doi:10.1088/1755-1315/17/1/012147

Romano, (2014), Soil moisture at local scale: Measurements and simulations, Journal of Hydrology, 516, 6--20, doi:10.1016/j.jhydrol.2014.01.026

Smith, Dutta, Li, (2014), The Use of a Cosmic Ray Probe as a Proxy of Green Vegetation Biomass, IEEE SENSORS 2014 Proceedings, , doi:10.1109/icsens.2014.6985425

McJannet, Franz, Hawdon, Boadle, Baker, Almeida, Silberstein, Lambert, Desilets, (2014), Field testing of the universal calibration function for determination of soil moisture with cosmic‐ray neutrons, Water Resources Research, 50, 5235--5248, doi:10.1002/2014wr015513

Rosolem, Hoar, Arellano, Anderson, Shuttleworth, Zeng, Franz, (2014), Translating aboveground cosmic-ray neutron intensity to high-frequency soil moisture profiles at sub-kilometer scale, Hydrology and Earth System Sciences, 18, 4363--4379, doi:10.5194/hess-18-4363-2014

Paulik, Dorigo, Wagner, Kidd, (2014), Validation of the ASCAT Soil Water Index using in situ data from the International Soil Moisture Network, International Journal of Applied Earth Observation and Geoinformation, 30, 1--8, doi:10.1016/j.jag.2014.01.007

Coopersmith, Cosh, Daughtry, (2014), Field-scale moisture estimates using COSMOS sensors: A validation study with temporary networks and Leaf-Area-Indices, Journal of Hydrology, 519, 637--643, doi:10.1016/j.jhydrol.2014.07.060

Han, Jin, Li, Wang, (2014), Soil Moisture Estimation Using Cosmic-Ray Soil Moisture Sensing at Heterogeneous Farmland, IEEE Geoscience and Remote Sensing Letters, 11, 1659--1663, doi:10.1109/lgrs.2014.2314535

Werbylo, Niemann, (2014), Evaluation of sampling techniques to characterize topographically-dependent variability for soil moisture downscaling, Journal of Hydrology, 516, 304--316, doi:10.1016/j.jhydrol.2014.01.030

Baatz, Bogena, Franssen, Huisman, Qu, Montzka, Vereecken, (2014), Calibration of a catchment scale cosmic-ray probe network: A comparison of three parameterization methods, Journal of Hydrology, 516, 231--244, doi:10.1016/j.jhydrol.2014.02.026

Tuttle, Salvucci, (2014), A new approach for validating satellite estimates of soil moisture using large-scale precipitation: Comparing AMSR-E products, Remote Sensing of Environment, 142, 207--222, doi:10.1016/j.rse.2013.12.002

Montzka, Bogena, Jagdhuber, Hajnsek, Horn, Reigber, Hasan, Rüdiger, Jaeger, Vereecken, (2014), Active and Passive L-Band Microwave Remote Sensing for Soil Moisture — A Test-Bed for SMAP Fusion Algorithms, 2014 IEEE Geoscience and Remote Sensing Symposium, , doi:10.1109/igarss.2014.6946962

Hawdon, McJannet, Wallace, (2014), Calibration and correction procedures for cosmic‐ray neutron soil moisture probes located across Australia, Water Resources Research, 50, 5029--5043, doi:10.1002/2013wr015138

Dong, Ochsner, Zreda, Cosh, Zou, (2014), Calibration and Validation of the COSMOS Rover for Surface Soil Moisture Measurement, Vadose Zone Journal, 13, 1--8, doi:10.2136/vzj2013.08.0148

Kurnik, Louwagie, Erhard, Ceglar, Kajfež, (2014), Analysing Seasonal Differences between a Soil Water Balance Model and in Situ Soil Moisture Measurementsat Nine Locations Across Europe, Environmental Modeling \& Assessment, 19, 19--34, doi:10.1007/s10666-013-9377-z

Almeida, Dutta, Franz, Terhorst, Smethurst, Baillie, Worledge, (2014), Combining Cosmic-Ray Neutron and Capacitance Sensors and Fuzzy Inference to Spatially Quantify Soil Moisture Distribution, IEEE Sensors Journal, 14, 3465--3472, doi:10.1109/jsen.2014.2345376

Renzullo, Dijk, Perraud, Collins, Henderson, Jin, Smith, McJannet, (2014), Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment, Journal of Hydrology, 519, 2747--2762, doi:10.1016/j.jhydrol.2014.08.008

Birkelo, Andreasen, Looms*, Jensen, Sonnenborg, Bogena, Desilets, Zreda, (2014), Cosmic-ray neutron intensity measurements of soil moisture – A case study in the Skjern catchment, Denmark, SEG Technical Program Expanded Abstracts 2014, , doi:10.1190/segam2014-1154.1

Schneider, Jann, Schell, er-Gorgas, (2014), Downscaling of seasonal soil moisture forecasts using satellite data, Hydrology and Earth System Sciences, 18, 2899--2905, doi:10.5194/hess-18-2899-2014

Arroyo, Camps, Aguasca, Forte, Monerris, ra, Rudiger, Walker, Park, Pascual, Onrubia, (2014), Dual-Polarization GNSS-R Interference Pattern Technique for Soil Moisture Mapping, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 1533--1544, doi:10.1109/jstars.2014.2320792

Dutta, Morshed, Aryal, Este, Das, (2014), Environmental Modelling \& Software Development of an intelligent environmental knowledge system for sustainable agricultural decision support, Environmental Modelling and Software, 52, 264--272, doi:10.1016/j.envsoft.2013.10.004

2013

Almeida, Baillie, Worledge, Smethurst, Dutta, Terhorst, Franz, (2013), Quantifying spatial distribution of soil moisture using a cosmic ray and capacitance sensor network, 2013 IEEE SENSORS, , doi:10.1109/icsens.2013.6688468

Baroni, Ortuani, Facchi, G, olfi, (2013), The role of vegetation and soil properties on the spatio-temporal variability of the surface soil moisture in a maize-cropped field, Journal of Hydrology, 489, 148--159, doi:10.1016/j.jhydrol.2013.03.007

Rosolem, Shuttleworth, Zreda, Franz, Zeng, Kurc, (2013), The effect of atmospheric water vapor on neutron count in the cosmic-ray soil moisture observing system, Journal of Hydrometeorology, 14, 1659--1671, doi:10.1175/jhm-d-12-0120.1

Shuttleworth, Rosolem, Zreda, Franz, (2013), The COsmic-ray Soil Moisture Interaction Code (COSMIC) for use in data assimilation, Hydrology and Earth System Sciences, 17, 3205--3217, doi:10.5194/hess-17-3205-2013

Sur, Jung, Choi, (2013), Temporal stability and variability of field scale soil moisture on mountainous hillslopes in Northeast Asia, Geoderma, 207, 234--243, doi:10.1016/j.geoderma.2013.05.007

Ochsner, Cosh, Cuenca, Dorigo, Draper, Hagimoto, Kerr, Larson, Njoku, Small, Zreda, (2013), State of the Art in Large‐Scale Soil Moisture Monitoring, Soil Science Society of America Journal, 77, 1888--1919, doi:10.2136/sssaj2013.03.0093

Zweck, Zreda, Desilets, (2013), Snow shielding factors for cosmogenic nuclide dating inferred from Monte Carlo neutron transport simulations, Earth and Planetary Science Letters, 379, 64--71, doi:10.1016/j.epsl.2013.07.023

Samaniego, Kumar, Zink, (2013), Implications of Parameter Uncertainty on Soil Moisture Drought Analysis in Germany, Journal of Hydrometeorology, 14, 47--68, doi:10.1175/jhm-d-12-075.1

Chrisman, Zreda, (2013), Quantifying mesoscale soil moisture with the cosmic-ray rover, Hydrology and Earth System Sciences, 17, 5097--5108, doi:10.5194/hess-17-5097-2013

Franz, Zreda, Rosolem, Hornbuckle, Irvin, Adams, Kolb, Zweck, Shuttleworth, (2013), Ecosystem‐scale measurements of biomass water using cosmic ray neutrons, Geophysical Research Letters, 40, 3929--3933, doi:10.1002/grl.50791

Franz, Zreda, Ferre, Rosolem, (2013), An assessment of the effect of horizontal soil moisture heterogeneity on the area‐average measurement of cosmic‐ray neutrons, Water Resources Research, 49, 6450--6458, doi:10.1002/wrcr.20530

Dutta, Terhorst, (2013), Adaptive Neuro-Fuzzy Inference System-Based Remote Bulk Soil Moisture Estimation: Using CosmOz Cosmic Ray Sensor, IEEE Sensors Journal, 13, 2374--2381, doi:10.1109/jsen.2013.2254710

Bogena, Huisman, Baatz, Franssen, Vereecken, (2013), Accuracy of the cosmic-ray soil water content probe in humid forest ecosystems : The worst case scenario, Water Resources Research, 49, 5778--5791, doi:10.1002/wrcr.20463

Franz, Zreda, Rosolem, Ferre, (2013), A universal calibration function for determination of soil moisture with cosmic-ray neutrons, Hydrology and Earth System Sciences, 17, 453--460, doi:10.5194/hess-17-453-2013

Desilets, Zreda, (2013), Footprint diameter for a cosmic‐ray soil moisture probe: Theory and Monte Carlo simulations, Water Resources Research, 49, 3566--3575, doi:10.1002/wrcr.20187

2012

Franz, Zreda, Ferre, Rosolem, Zweck, Stillman, Zeng, Shuttleworth, (2012), Measurement depth of the cosmic ray soil moisture probe affected by hydrogen from various sources, Water Resources Research, , doi:10.1029/2012wr011871

Crow, Berg, Cosh, Loew, er, Mohanty, Panciera, Rosnay, Ryu, Walker, (2012), Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture products, Reviews of Geophysics, , doi:10.1029/2011rg000372

Hornbuckle, Irvin, Franz, Rosolem, Zweck, (2012), THE POTENTIAL OF THE COSMOS NETWORK TO BE A SOURCE OF NEW SOIL MOISTURE INFORMATION FOR SMOS AND SMAP, 2012 IEEE International Geoscience and Remote Sensing Symposium, 1, 1243--1246, doi:10.1109/igarss.2012.6351317

Collow, Robock, Basara, Illston, (2012), Evaluation of SMOS retrievals of soil moisture over the central United States with currently available in situ observations, Journal of Geophysical Research: Atmospheres (1984–2012), 117, n/a--n/a, doi:10.1029/2011jd017095

Franz, Zreda, Rosolem, Ferre, (2012), Field Validation of a Cosmic-Ray Neutron Sensor Using a Distributed Sensor Network, Vadose Zone Journal, , doi:10.2136/vzj2012.0046

Zreda, Shuttleworth, Zeng, Zweck, Desilets, Franz, Rosolem, (2012), COSMOS: The cosmic-ray soil moisture observing system, Hydrology and Earth System Sciences, 16, 4079--4099, doi:10.5194/hess-16-4079-2012

Dutta, Terhorst, Hawdon, Cotching, (2012), Bulk Soil Moisture Estimation Using CosmOz Cosmic Ray Sensor and ANFIS, 2012 IEEE Sensors, , doi:10.1109/icsens.2012.6411570

2011

Villarreyes, Baroni, Oswald, (2011), Integral quantification of seasonal soil moisture changes in farmland by cosmic-ray neutrons, Hydrology and Earth System Sciences, 15, 3843--3859, doi:10.5194/hess-15-3843-2011

Dorigo, Wagner, Hohensinn, Hahn, Paulik, Xaver, Gruber, Drusch, Mecklenburg, Oevelen, Robock, Jackson, (2011), The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements, Hydrology and Earth System Sciences, 15, 1675--1698, doi:10.5194/hess-15-1675-2011

2010

Desilets, Zreda, Ferré, (2010), Nature\'s neutron probe: Land surface hydrology at an elusive scale with cosmic rays, Water Resources Research, , doi:10.1029/2009wr008726

2008

Zreda, Desilets, Ferré, Scott, (2008), Measuring soil moisture content non-invasively at intermediate spatial scale using cosmic-ray neutrons, Geophysical Research Letters, 35, 1--5, doi:10.1029/2008gl035655