International journal papers:
De Lannoy, G., Busschaert, L., Bechtold, M., Lanfranco, N., de Roos, S., Heyvaert, Z., Mortelmans, J., Scherrer, S., Van den Bossche, M., Kumar, S., Mocko, D., Kemp, E., Heng, L., Steduto, P., Raes, D. (2025). Advancing Crop Modeling and Data Assimilation Using AquaCrop v7.2 in NASA’s Land Information System Framework v7.5. Geoscientific Model Development, in review.
Dunmire, D., Bechtold, M., Boeykens, L., De Lannoy, G.J.M. (2025). Advancing snow data assimilation with a dynamic observation uncertainty. The Cryosphere, in review.
Busschaert, L., Deketelaere, V., Thiery, W., Raes, D., De Lannoy, G.J.M. (2025). Future projections of European maize yields using AquaCrop with an adaptive growing season. European Journal of Agronomy, in review.
Springer, A., De Lannoy, G., Rodell, M., Ewerdwalbesloh, Y., Gerdener, H., Khaki, M., Li, B., Li, F., Schumacher, M., Tangdamrongsub, N., Tourian, M. J., Nie, W., Kusche, J. (2025). A Review of Current Best Practices and Future Directions in Assimilating GRACE/-FO Terrestrial Water Storage Data into Numerical Models, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-2058, 2025.
Heyvaert, Z., Bechtold, M., Dorigo, W., Mortelmans, J., Hagan, D., Santanello, J., De Lannoy, G. (2025). Assimilation of satellite-based surface soil moisture to improve numerical weather prediction through land-atmosphere coupling, QJRMS, in review.
Busschaert, L., Bechtold, M., Modanesi, S., Massari, C., Raes, D., Kumar, S., De Lannoy, G.J.M. (2025). Modeling irrigation and land surface dynamics: comparing AquaCrop and Noah-MP over the Po Valley, HESS, in review.
Xiao, Y., Li, X., Fan, L., Colliander, A., Ebtehaj, A., Peng, J., Frappart, F., Lanka, K., Zhao, W., De Lannoy, G., de Rosnay, P., Xing, Z., Wang, M., Liu, X., Helili, P., Konkathi, P., Wigneron, J.-P. (2025). Global comparison of different effective scattering albedo and soil roughness parameterization schemes for SMAP soil moisture and L-VOD retrieval, Remote Sensing of Environment, in review.
Brangers, I., De Lannoy, G., Marshall, H.-P., Dunmire, D., Bonnell, R., Cox, B., Cappelle, J., Baxter W. B., Lievens, H. (2025). C-band radar measurements in a snow covered boreal forest environment, Geoscience and Remote Sensing Letters, 22, 1-5
Apers, S., Cobb, A.R., De Lannoy, G.J.M., Bechtold, M. (2025). Hydrological parametrization of peatland water level dynamics using satellite-based precipitation: a case study in Brunei. Hydrological Processes, in review.
Mortelmans, J., Apers, S., De Lannoy, G.J.M., S. Veraverbeke, R. D. Field, N. Andela, S. E. Page, M. Bechtold (2025). Using hydrological modeling to improve the Fire Weather Index system over tropical peatlands of Peninsular Malaysia, Sumatra, and Borneo. International Journal of Wildland Fire, 34, WF24057.
Madelon, R., Kimball, J., Endsley, A., De Lannoy, G., Sonnentag, O., Alcock, H., Gosselin, G., Detto, M., Virkkala, A., Natali, S., Rogers, B., Watts, G., Mavrovic, A., Williamson, S., Humphreys, E., Colliander, A., Mialon, A., Roy, A. (2025). Assessing the SMAP Level-4 Carbon Product over the Arctic and Subarctic Zones. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 9850-9864.
Nasta, P., Bogena, H., Baatz, R., De Lannoy, G.J.M. and co-authors (2024). HESS Opinions: Towards a common vision for the future of hydrological observatories. Hydrology and Earth System Sciences, in review.
Jans, J.-F., Beernaert, E., De Breuck, M., Brangers, I., Dunmire, D., De Lannoy, G., Lievens, H. (2025). Sensitivity of Sentinel-1 C-band SAR backscatter, polarimetry and interferometry to snow depth and snow water equivalent in the Alps. Remote Sensing of Environment, 316(8), 114477.
Dunmire, D., Lievens, H., Boeykens, L., De Lannoy, G. (2024). A machine learning approach for estimating snow depth across the European Alps from Sentinel-1 imagery. Remote Sensing of Environment, 314, 114369.
de Roos, S., Bechtold, M., Busschaert, L., Lievens, H., De Lannoy, G.J.M. (2024). Assimilation of Sentinel-1 backscatter to update AquaCrop soil moisture and crop biomass within NASA’s Land Information System. JGR: Biogeosciences, 129(10), e2024JG008231.
De Lannoy, G.J.M., Bechtold, M., Busschaert, L., Heyvaert, Z., Modanesi, S., Dunmire, D., Lievens, H., Getirana, A., Massari, C. (2024). Contributions of irrigation modeling, soil moisture and snow data assimilation to the skill of high-resolution digital replicas of the Po basin water budget. Journal of Advances in Modeling Earth System (JAMES), 16(10), e2024MS004433 .
Heyvaert, Z., Scherrer, S., Dorigo, W., Bechtold, M., De Lannoy, G. (2024). Joint Assimilation of Satellite-Based Soil Moisture and Vegetation Conditions into the Noah-MP Land Surface Model, Science of Remote Sensing, 9, 100129.
Brangers, I., Marshall, H.-P., De Lannoy, G., Dunmire, D., Matzler, C., Lievens, H. (2024). Tower-based C-band radar measurements of an alpine snowpack. The Cryosphere, 18, 3177-3193, 10.5194/tc-18-3177-2024.
Fan, L., Xiao, Y., De Lannoy, G.J.M., Peng, J., Frappart, F., Ebtehaj, A., de Rosnay, P., Xing, Z., Yu, L., Dong, G., Yueh, S., Wigneron, J.-P. (2024). Optimal land surface model's temperature inputs for global soil moisture and vegetation optical depth retrievals from SMAP. Remote Sensing of Environment, 311, 114240 .
Mortelmans, J., Felsberg, A., De Lannoy, G.J.M., Veraverbeke, S., Field, R. D., Andela, N., Bechtold, M. (2024). The Fire Weather Index Improved for Boreal Peatlands Using Hydrological Modeling and Satellite-Based L-band Microwave Observations. Natural Hazard and Earth System Sciences, 24(2), 445 - 464 .
Zappa, L., Dari, J., Modanesi, S., Quast, R., Brocca, L., De Lannoy, G., Massari, C., Quintana-Segui, P., Barrella-Ortiz, A., Dorigo, W. (2024). Benefits and pitfalls of irrigation estimates derived from satellite soil moisture. Agricultural Water management, 295, 108773.
Xing, Z., Zhao, L., Fan, L. and co-authors (incl. De Lannoy, G.J.M.) (2025). Retrieval of 1-km surface soil moisture from Sentinel-1 over bare soil and grassland on the Qinghai-Tibetan plateau. Remote Sensing of Environment, 318, 114563 .
Brangers, I., Lievens, H., Getirana, A., De Lannoy, G.J.M. (2024). Sentinel-1 snow depth assimilation to improve river discharge estimates in the western European Alps. Water Resources Research, 60(11), e2023WR035019 .
Busschaert, L., Bechtold, M., Modanesi, S., Massari, C., Brocca, L., De Lannoy, G. J. M. (2023). Irrigation quantification through backscatter data assimilation with a buddy check approach. Journal of Advances in Modeling Earth System (JAMES), 16(3), e2023MS003661 .
Girotto, M., Formetta, G., Azimi, S., Bachand, C., Cowherd, M., De Lannoy, G., Lievens, H., Modanesi, S., Raleigh, M., Rigon, R., Massari, C. (2023). Identifying Snowfall Elevation Gradients by Assimilating Satellite-Based Snow Depth Observations. STOTEN, 906, 167312.
Reichle, R.H., Liu, Q., Ardizzone, J., Crow, W.T., De Lannoy, G.J.M., Kimball, J.S., Koster, R.D. (2023). IMERG Precipitation Improves the SMAP Level-4 Soil Moisture Product. Journal of Hydrometeorology, 24, 10.1175/JHM-D-23-0063.1.
Bechtold, M., Modanesi, S., Lievens, H., Baguis, P, Brangers, I., Carrassi, A., Getirana, A., Gruber, A., Heyvaert, Z., Massari, C., Scherrer, S., Vannitsem, S., De Lannoy, G. (2023). Improving streamflow simulation by assimilating Sentinel-1 backscatter into a land surface model with river routing. Journal of Hydrometeorology, 24(12), 2389–2408, 10.1175/JHM-D-22-0198.1.
Valkenborg, B., De Lannoy, G.J.M., Gruber, A., Miralles, D., Köhler, P., Frankenberg, C., Desai, A. R., Humphreys, E., Klatt, J., Lohila, A., Nilsson, M., Tuittila, E., Bechtold, M. (2023). Drought and waterlogging stress regimes in northern peatlands detected through satellite retrieved solar-induced chlorophyll fluorescence. Geophysical Research Letters, 10.1029/2023GL105205.
Burdun, I., Bechtold, M., Aurela, M., De Lannoy, G., Desai, A. R., Humphreys, E., Kareksela, S., Komisarenko, V., Liimatainen, M., Marttila, H., Minkkinen, K., Nilsson, M. B., Ojanen, P., Salko, S.-S., Tuittila, E.-S., Uuemaa, E., Rautiainen, M. (2023). Hidden becomes clear: optical remote sensing of vegetation reveals water table dynamics in northern peatlands. Remote Sensing of Environment, 296, 113736, 10.1016/j.rse.2023.113736.
Scherrer, S., De Lannoy, G.J.M., Heyvaert, Z., Bechtold, M., Albergel, C., El-Madany, T., Dorigo, W. (2023). Bias-blind and bias-aware LAI data assimilation over Europe with Noah-MP. HESS, 27(22), 4087–4114, 10.5194/hess-27-4087-2023.
Felsberg, A., Heyvaert, Z., Poesen, J., Stanley, T., De Lannoy, G. (2023). Probabilistic Hydrological Estimation of Landslides (PHELS): global ensemble landslide modeling. Natural Hazards and Earth System Sciences, 10.5194/nhess-23-3805-2023, 23, 3805–3821.
de Roos, S., Busschaert, L., Lievens, H., Bechtold, M., De Lannoy, G. (2023). Optimisation and uncertainty assessment of AquaCrop backscatter simulations using Sentinel-1 observations. Remote Sensing of Environment, 294, 113621.
Heyvaert, Z., Scherrer, S., Bechtold, M., Gruber, A., Dorigo, W., De Lannoy, G. (2023). Impact of design factors for ESA CCI satellite soil moisture data assimilation over Europe. Journal of Hydrometeorology, 24(7), 10.1175/JHM-D-22-0141.1.
Baguis, P., Carrassi, A., Roulin, E., Vannitsem, S., Modanesi, S., Lievens, H., Bechtold, M., De Lannoy, G. (2022). Assimilation of backscatter observations into a hydrological model: a case study in Belgium using ASCAT data. Remote Sensing, 14(22), 5740 .
Mortelmans, J., Bechtold, M., Brisson, E., Lynn, B., Kumar, S., De Lannoy, G., (2023). Lightning over Central Canada: Skill Assessment for Various Land-Atmosphere Model Configurations and Lightning Indices over a Boreal Study Area, Journal of Geophysical Research - Atmospheres, 128, e2022JD037236.
Fan, L., Zhou, Z., De Lannoy, G., Liu, Z., Peng, J., Bai, X., Frappart, F., Baghdadi, N., Zing, Z., Li, Z., Wigneron, J.-P. (2022). Retrieval of high-resolution vegetation optical depth from Sentinel-1 data over a grassland region in the Heihe River Basin. International Journal of Applied Earth Observation and Geoinformation, 14(21), 5468.
Li, X., Wigneron, J.-P., Frappart, F., De Lannoy, G., Fan, L., ZHao, T., Gao, L., Tao, S., Ma, H., Peng, Z., Liu, Z., Wang, H., Wang, M., Moisy, C., Ciais, P. (2022). The first global soil moisture and vegetation optical depth product retrieved from fused SMOS and SMAP L-band observations. Remote Sensing of Environment, 282, 113272.
Fan, L., Zing, Z., De Lannoy, G., Frappart, F., Peng, J., Zeng, J., Yang, K., Zhao, T., Shu, J., Ma, H., Wang, M., Liu, X., Yi, C., Ma, M., Tang, X., Wen, J., Chen, X., Wang, C., Wang, L., Wang, G., Wigneron, J.-P. (2022). Evaluation of satellite and reanalysis estimates of surface and root-zone soil moisture in croplands of Jiangsu Province, China. Remote Sensing of Environment, 282, 113283.
De Lannoy, G.J.M., Bechtold, M., Albergel, C., Brocca, L., Calvet, J.-C., Carrassi, A., Crow, W., de Rosnay, P., Durand, M., Forman, B., Geppert, G., Girotto, M., Hendricks-Franssen, H.-J., Jonas, T. J., Kumar, S., Lievens, H., Lu, Y., Massari, C., Pauwels, V.R.N., Reichle, R.H., Steele-Dunne, S., (2022). Perspective on Satellite-Based Land Data Assimilation to Estimate Water Cycle Components in an Era of Advanced Data Availability and Model Sophistication. Frontiers of Water, 10.3389/frwa.2022.981745 .
Kumar, S., Kolassa, J., Reichle, R., Crow, W., De Lannoy, G., de Rosnay, P., MacBean, N., Girotto, M., Fox, A., Quaife, T., Draper, C., Forman, B., Balsamao, G., Steele-Dunne, S., Albergel, C., Bonan, B., Calvet, J.-C., Dong, J., Liddy, H., Ruston, B. (2022). An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space, JAMES, 14(11), e2022MS003259.
McDermid, S., Weng, E., Puma, M., Cook, B., Hengl, T., Sanderman, De Lannoy, G.J.M., Aleinov, I. (2022). Soil carbon losses reduce soil moisture in global climate model simulations. Earth Interactions, 10.1175/EI-D-22-0003.1, 26(1), 10.1175/EI-D-22-0003.1.
Modanesi, S., Massari, C., Bechtold, M., Lievens, H., Tarpanelli, A., Brocca, L., Zappa, L., De Lannoy, G.J.M. (2022). Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP. Hydrology and Earth System Sciences, 26, 4685-4705, https://doi.org/10.5194/hess-26-4685-2022.
Busschaert, L., de Roos, S., Thiery, W., Raes, D., De Lannoy, G.J.M. (2022). Net irrigation requirement under different climate scenarios using AquaCrop over Europe. Hydrology and Earth System Sciences, 26, 3731–3752, 10.5194/hess-26-3731-2022.
Felsberg, A., Poesen, J., Bechtold, M., Vanmaercke, M., De Lannoy, G.J.M. (2022). Estimating global landslide susceptibility and its uncertainty through ensemble modeling. Natural Hazards and Earth System Sciences, 22, 3063-3082, 10.5194/nhess-2021-360.
Maertens, M., De Lannoy, G., Vincent, F., Massart, S., Gimenez, R., Houspanossian, J., Gasparri, I., Vanacker, V. (2022). Spatial patterns of soil salinity in the central Argentinean Dry Chaco. Anthropocene, 37, 100322.
Apers, S., De Lannoy, G., Baird, A., Cobb, A., Dargie, G., del Aguila Pasquel, J., Gruber, A., Hastie, A., Hidayat, H., Hirano, T., Hoyt, A., Jovani-Sancho, A., Katimon, A., Kurnain, A., Koster, R., Lampela, M., Mahanama, S., Melling, L., Page, S., Reichle, R., Mohammed Taufik, M., Vanderborght, J., Bechtold, M. (2022). Tropical peatland hydrology simulated with a global land surface model. Journal of Advances in Modeling Earth Systems, 14(3), e2021MS002784, 10.1029/2021MS002784.
Vincent, F., Maertens, M., Bechtold, M., Jobaggy, E., Reichle, R. H., Vanacker, V., Vrugt, J., Wigneron, J.-P., De Lannoy, G. J. M. (2022). L-Band Microwave Satellite Data and Model Simulations Over the Dry Chaco to Estimate Soil Moisture, Soil Temperature, Vegetation and Soil Salinity. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 6598 - 6614 , 10.1109/JSTARS.2022.3193636.
Lievens, H., Brangers, I., Marshall, H.-P., Jonas, T., Olefs, M., De Lannoy, G. (2022). Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps. The Cryosphere, 16, 159-177, 10.51794/tc-16-2022.
de Roos, S., De Lannoy, G.J.M., Raes, D. (2021). Performance analysis of regional AquaCrop (v6.1) biomass and surface soil moisture simulations using satellite and in situ observations. Geoscientific Model Development, 14(12), 7309-7328, 10.5194/gmd-14-7309-2021.
Massari, C., Modanesi, S., Dari, J., Gruber, A., De Lannoy, G., Girotto, M., Quintana-Segui, P., Le Page, M., Jarlan, L., Zribi, M., Ouaadi, N., Vreugdenhil, M., Zappa, L., Dorigo, W., Wagner, W., Brombacher, J., Pelgrum, H., Jaquot, P., Freeman, V., Volden, E., Fernandez Pietro, D., Parpanelli, A., Barbetta, S., Brocca, L., (2021). A review of irrigation information retrievals from space and their utility for users. Remote Sensing, 30(20), 4112, 10.3390/rs13204112.
Modanesi, S., Massari, C., Gruber, A., Lievens, H., Tarpanelli, A., Morbidelli, R., De Lannoy, G. J. M. (2021). Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land. Hydrology and Earth System Sciences, 25, 6283-6307, 10.5194/hess-25-6283-2021.
Rains, D., Lievens, H., De Lannoy, G., McCabe, M., de Jeu, R., Miralles, D. (2021). Sentinel-1 backscatter data assimilation using a Support Vector Regression and Water Cloud Model at European sites. IEEE Geoscience and Remote Sensing Letters, 1-5, 10.1109/LGRS.2021.3073484.
Maertens, M., De Lannoy, G. J. M., Apers, S., Kumar, S., Mahanama, S. (2021). Land surface modeling over the Dry Chaco: the impact of model structures, and soil, vegetation and land cover parameters. Hydrology and Earth System Sciences, 25, 4099-4125, 10.5194/hess-25-4099-2021.
Xing, Z., Fan, L. Zhao, L., De Lannoy, G. J. M., Frappart, F.,..., Wigneron, J.-P. (2021). A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet 2 Plateau. Remote Sensing of Environment, 265, 112666, https://doi.org/10.1016/j.rse.2021.112666.
Baatz, R., Hendricks Franssen, H.J., Euskirchen, E., Sihi, D., Dietze, M., Ciavatta, S., Fennel, K., Beck, H., De Lannoy, G., Pauwels, V.R.N., Raiho, A., Montzka, C., Williams, M., Mishra, U., Poppe, C., Zacharias, S., Lausch, A., Samaniego, L., Van Looy, K., Bogena, H., Adamescu, M., Mirtl, M., Fox., A., Goergen, K., Naz, B., Zeng, Y., Vereecken, H. (2021). Reanalysis in Earth System Science: Towards Terrestrial Ecosystem Reanalysis. Reviews of Geophysics, 58(3), 10.1029/2020RG000715.
Lu, Y., Chibarabada, T., McCabe, M., De Lannoy, G., Sheffield, J. (2021). Global Sensitivity Analysis of Crop Yield and Transpiration from the FAO-AquaCrop Model for Dryland Environments. Field Crops Research, 269, 108182, 10.1016/j.fcr.2021.108182.
Felsberg, A., De Lannoy, G. J. M., Girotto, M., Poesen, J., Reichle, R.H., Stanley, T. (2021). Global soil water estimates as landslide predictor: the effectiveness of SMOS, SMAP and GRACE observations, land surface simulations and data assimilation. Journal of Hydrometeorology, 22, 1065-1084, 10.1175/JHM-D-20-0228.1.
Qiu, J., Dong, J., Crow, W., Reichle, R., De Lannoy, G. (2021). The added value of brightness temperature assimilation for the SMAP Level-4 surface and root-zone soil moisture analysis over mainland China. Hydrology and Earth System Sciences, 25, 1569-1586, 10.5194/hess-2020-407.
Wigneron, J.-P., Li, X., Frappart, F., Fan, L., Al Yaari, A., De Lannoy, G., Liu, X., Wang, M., Le Masson, E., Moisy, C. (2020). SMOS-IC data record of soil moisture and L-VOD: historical development, applications and perspectives. Remote Sensing of Environment, 254, 112238.1-20.
Reichle, R. H., Liu, Q., Ardizzone, J., Crow, W., De Lannoy, G. J. M., Dong, J., Kimball, J., Koster, R. (2021). The Contributions of Gauge-Based Precipitation and SMAP Brightness Temperature Observations to the Skill of the SMAP Level-4 Soil Moisture Product. Journal of Hydrometeorology, 22(2), 405–424, 10.1175/JHM-D-20-0217.1.
Burdun, I., Bechtold, M., Sagris, V., Lohila, A., Humphreys, E., Desai, A., Nilsson, M., De Lannoy, G., Mander, U. (2020). Localizing pixels with SWIR-based moisture index representative of overall peatland water table dynamics. Remote Sensing, 12(18), 2936, 10.3390/rs12182936.
Burdun, I. , Bechtold, M., Sigrid, V., Komisarenko, V., De Lannoy, G., Mander, U. (2020). A Comparison of Three Trapezoid Models Using Optical and Thermal Satellite Imagery for Water Table Depth Monitoring in Estonian Bogs. Remote Sensing, 12(12), 1980.
Bechtold, M., De Lannoy, G.J.M., Reichle, R., Roose, D., Balliston, N., Burdun, I., Devito, K., Kurbatova, J., Munir, T., Zarov, E. (2020). Improved Groundwater Table and L-band Brightness Temperature Estimates for Northern Hemisphere Peatlands Using New Model Physics and SMOS Observations in a Global Data Assimilation Framework. Remote Sensing of Environment, 246, 111805.
Gruber, A., De Lannoy, G.J.M., Albergel, C., Al-Yaari, A., Brocca, L., Calvet, J.-C., Colliander, A., Cosh, W., Dorigo, W., Draper, C., Hirschii, M., Kerr, Y., Konings, A., Lahoz, W., McColl, K. Montzka, C., Muñoz-Sabater, J., Peng, J., Reichle, R., Richaume, P., Rüdiger, C., Scanlon, T., van der Schalies, R., Wigneron, J.-P. Wagner, W. (2020).Validation practices for satellite soil moisture products: What are (the) errors? Remote Sensing of Environment, 244, 111806, doi:10.1016/j.rse.2020.111806.
Gomez-Calero, J. and co-authors (incl. De Lannoy, G.J.M.) (2020). SHui, an EU-Chinese cooperative project to optimise soil and water management in agricultural areas in the XXI century. International Soil and Water Conservation Research, doi:10.1016/j.iswcr.2020.01.001.
Park, J., Forman, B., Reichle, R., De Lannoy, G., Tarik, S. (2020). Evaluation of GEOS L-Band Microwave Brightness Temperature using Aquarius Observations over Non-Frozen Land across North America. Remote Sensing, 12(18), 3098; https://doi.org/10.3390/rs12183098.
Pauwels, V.R.N., Hendricks Franssen, H.-J., De Lannoy, G.J.M. (2020). Evaluation of State and Bias Estimates for Assimilation of SMOS Retrievals into Conceptual Rainfall-Runoff Models. Frontiers in Water, 2(4), doi: 10.3389/frwa.2020.00004.
Brangers, I., Lievens, H., Miege, C., Demuzere, M., Brucker, L., De Lannoy, G.J.M. (2019). Sentinel-1 detects firn aquifers in the Greenland Ice Sheet. Geophysical Research Letters, 47(3), doi:10.1029/2019GL085192.
Lu, Y., Steele-Dunne, S., De Lannoy, G.J.M. (2019). Improving surface heat flux estimates by assimilation of SMAP brightness temperature and GOES land surface temperature data. Journal of Hydrometeorology, 183-203, doi:10.1175/JHM-D-19-0130.s1.
Park, C., Montzka, C., Jagdhuber, T., Jonard, F., De Lannoy, G.J.M., Hong, J., Jackson, T., Wulfmeyer, V. (2019). A dielectric mixing model accounting for soil organic matter. Vadose Zone Journal, doi:10.2136/vzj2019.04.0036.
Lievens, H., Demuzere, M., Marshall, H.P., Reichle, R., Brucker, L., Brangers, I., de Rosnay, P., Dumond, M., Girotto, M., Immerzeel W., Jonas, T., Kim, E., Koch, I., Marty, C., Saloranta, T., Schober, J., De Lannoy, G.J.M. (2019). Snow depth variability in the Northern Hemisphere mountains observed from space. Nature Communications, 10, 4629, doi:10.1038/s41467-019-12566-y.
Reichle, R.H., Liu, Q., Koster, R., Crow, W., De Lannoy, G.J.M., Kimball, J., Ardizzone, J., Bosch, D., Colliander, A., Cosh, M., Kolassa, J., Mahanama, S., McNairn, H., Prueger, J., Starks, P., Walker, J. (2019). Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product. Journal of Advances in Modeling Earth Systems, 11, 3106-3130, doi:10.1029/2019MS001729.
Li, B., Rodell, M., Kumar, S., Beaudoing, H., Getirana, A., Zaitchik, B., de Goncalves, L., Cossetin, C., Bhanja, S., Mukherjee, A., Tian, S., Tangdamrongsub, N., Long, D., Nanteza, J., Lee, J., Policelli, F., Goni, I., Daira, D., Bila, M., De Lannoy, G.J.M., Mocko, D., Steele‐Dunne, S., Save, H., Bettadpur, S. (2019). Global GRACE data assimilation for groundwater and drought monitoring: Advances and challenges. Water Resources Research, 55, 10.1029/2018WR024618, 10.1029/2018WR024618.
Quets, J., De Lannoy, G.J.M., Al Yaari, A., Chan, S., Cosh, M. H., Gruber, A., Reichle, R. H., Van der Schalie, R., Wigneron, J.-P. (2019). Uncertainty in Soil Moisture Retrievals: an Ensemble Approach using SMOS L-Band Microwave Data. Remote Sensing of Environment, 229, 133-147.
Gruber, A., De Lannoy, G.J.M., Crow, W. (2019). A Monte Carlo based Adaptive Kalman Filtering Framework for Soil Moisture Data Assimilation. Remote Sensing of Environment, 228, 105-114.
Bechtold, M., De Lannoy, G.J.M., Koster, R., Reichle, R., Mahanama, S. and Co-authors (2019). PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model. Journal of Advances in Modeling Earth Systems, 11(7), 2130-2162, doi:10.1029/2018MS001574.
Girotto, M., Reichle, R.H, Rodell, M., Liu, Q., Mahanama, S., De Lannoy, G.J.M. (2019). Multi-sensor Assimilation of SMOS Brightness Temperature and GRACE Terrestrial Water Storage Observations for Soil Moisture and Shallow Groundwater Estimation. Remote Sensing of Environment, 227, 12-27.
Al Yaari, A., Wigneron, J-P, Dorigo, W., Colliander, A., Pellarin, T., Hahn, S., Mialon, A., Richaume, P., Fernandez, R., Fan, L., Kerr, Y., De Lannoy, G. (2019). Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements. Remote Sensing of Environment, 224, 289-303.
Rains, D., De Lannoy, G.J.M., Lievens, H., Walker, J.P., Verhoest, N.E.C. (2018). SMOS and SMAP Brightness Temperature Assimilation Over the Murrumbidgee Basin. IEEE Geoscience and Remote Sensing Letters, 15(11), 1652-1656.
Bechtold, M., Schlaffer, S., Tiemeyer, B., De Lannoy, G.J.M. (2018). Inferring Water Table Depth Dynamics from ENVISAT-ASAR C-Band Backscatter over a Range of Peatlands from Deeply-Drained to Natural Conditions. Remote Sensing, 10(4), 536, doi:10.3390/rs10040536.
Toure, A., Reichle, R., Forman, B., De Lannoy, G.J.M., Getirana, A. (2018). Assimilation of MODIS snow cover fraction observations into the Catchment land surface model. Remote Sensing, 10, 316, doi:10.3390/rs10020316.
Reichle, R. H., De Lannoy, G.J.M., and Coauthors (2017). Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics. Journal of Hydrometeorology,18, 3217-3237, doi: 10.1175/JHM-D-17-0130.1.
Lievens, H., Reichle, R.H., Liu, Q., De Lannoy, G.J.M., Dunbar, R.S., Kim, S.B., Das, N.N., Cosh, M., Walker, J.P., Wagner, W. (2017). Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates. Geophysical Research Letters, 44, 6145-6153, doi:10.1002/2017GL073904.
Reichle, R. H., De Lannoy, G.J.M., and Coauthors (2017). Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements. Journal of Hydrometeorology, 18, 2621-2645, doi:10.1175/JHM-D-17-0063.1.
Girotto, M., De Lannoy, G.J.M., Reichle, R., Rodell, M., Draper, C., Bhanja, S., Mukherjee, A. (2017). Benefits and pitfalls of GRACE data assimilation: A case study of terrestrial water storage depletion in India. Geophysical Research Letters, doi: 10.1002/2017GL072994, 44, 9p.
Fernandez-Moran, R., Wigneron, J.-P., De Lannoy, G.J.M., Lopez-Baeza, E., Parrens, M., Mahmoodi, A., Al-Yaari, A., Bircher, S., Al Bitar, A., Richaume, P., Kerr, Y. (2017). A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm. International Journal of Applied Earth Observation & Geoinformation, 62, 27-38.
Fernandez-Moran, R., Al-Yaari, A., Mialon, A., Mahmoodi, A., Al Bitar, A., De Lannoy, G.J.M., Lopez-Baeza, E., Kerr, Y., Wigneron, J.-P. (2017). SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product. Remote Sensing, 9(457), 21p, doi:10.3390/rs9050457.
Reichle, R. H., Draper, C.S., Liu, Q., Girotto, M., Mahanama, S. P. P., Koster, R. D., De Lannoy, G.J.M. (2017). Assessment of MERRA-2 land surface hydrology estimates. Journal of Climate, 30, 2937-2960, http://dx.doi.org/10.1175/JCLI-D-16-0720.1.
Wigneron, J.-P., Jackon, T. J., O'Neill, P., De Lannoy, G.J.M., Walker, J.P., Ferrazzoli, P., Mironov, V., Bircher, S., Grant, J.P., Kurum, M., Schwank, M., Das, N., Royer, A., Al-Yaari, A., Al Bitar, A., Fernandez-Moran, R., Lawrence, H., Mialon, A., Parrens, M., Richaume, P., Delwart, S., Kerr, Y. (2017). Modelling the passive microwave signature from land surfaces: a review of recent results and application to the SMOS & SMAP soil moisture retrieval algorithms. Remote Sensing of Environment, 192, 238-262.
Al-Yaari, A., Wigneron, J.-P., Kerr, Y., Rodriguez-Fernandez, N., O'Neill, P., Jackon, T., De Lannoy, G.J.M., Al Bitar, A., Mialon, A., Richaume, P., Yueh, S. (2016). Evaluating soil moisture retrievals from ESA's SMOS and NASA's SMAP brightness temperature datasets. Remote Sensing of Environment, 193, 257-273, doi: 0.1016/j.rse.2017.03.010.
De Lannoy, G.J.M., Reichle, R.H. (2016). Assimilation of SMOS Brightness Temperatures or Soil Moisture Retrievals into a Land Surface Model. Hydrology and Earth System Sciences, 20, 4895-4911, doi:10.5194/hess-2016-414.
Koster, R.D., Brocca, L., Crow, W.T., Burgin, M.S., De Lannoy, G.J.M. (2016). Precipitation Estimation Using L-Band and C-Band Soil Moisture Retrievals. Water Resources Research, 52, 7213-7225, doi:10.1002/2016WR019024.
Girotto, M., De Lannoy, G.J.M., Reichle, R.H., Rodell, M. (2016). Assimilation of Gridded Terrestrial Water Storage Observations from GRACE into a Land Surface Model. Water Resources Research, 52, 4164-4183, doi:10.1002/2015WR018417.
Kumar, S.V., Zaitchik, B.F., Peters-Lidard, C.D., Rodell, M., Reichle, R., Li, B., Jasinski, M., Mocko, D., Getirana, A., De Lannoy, G., Cosh, M., Hain, C. R., Anderson, M. (2016). Assimilation of gridded GRACE terrestrial water storage estimates in the North American Land Data Assimilation System. Journal of Hydrometeorology, 17, 1951-1972, doi:10.1175/JHM-D-15-0157.1.
De Lannoy, G.J.M., Reichle, R.H. (2016). Global Assimilation of Multi-Angle and Multi-Polarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation. Journal of Hydrometeorology, 17(2), 669-691, doi: 10.1175/JHM-D-15-0037.1.
De Lannoy, G.J.M., Reichle, R.H., Peng, J., Kerr, Y., Castro, R., Kim, E.J., Liu, Q. (2015). Converting Between SMOS and SMAP Level-1 Brightness Temperature Observations Over Nonfrozen Land. IEEE Geoscience and Remote Sensing Letters, 12(9), 1-5, doi:10.1109/LGRS.2015.2437612.
Lievens, H., De Lannoy, G.J.M., Al Bitar, A., Drusch, M., Dumedah, G., Hendricks-Franssens, H.-J., Kerr, Y., Tomer, S., Merlin, O., Pan, M., Roundy, J., Vereecken, H., Walker, J., Wood, E., Verhoest, N., Pauwels, V. (2015). Assimilation of SMOS Soil Moisture and Brightness Temperature Products into a Land Surface Model. Remote Sensing of Environment, 180, 292–304.
Lievens, H., Tomer, S., Al Bitar, A., De Lannoy, G.J.M., Drusch, M., Dumedah, G., Hendricks-Franssens, H.-J., Kerr, Y., Pan, M., Roundy, J., Vereecken, H., Walker, J., Wood, E., Verhoest, N., Pauwels, V. (2015). SMOS soil moisture assimilation for improved stream flow simulation in the Murray Darling Basin, Australia. Remote Sensing of Environment, 168, 146-162, doi:10.1016/j.rse.2015.10.033.
Pauwels, V.R.N., De Lannoy, G.J.M. (2015). Error Covariance Calculation for Forecast Bias Estimation in Hydrologic Data Assimilation. Advances in Water Resources, 86(B), 284-296, doi:10.1016/j.advwatres.2015.05.013.
Farhadi, L., Reichle, R.H., De Lannoy, G.J.M., Kimball, J.S. (2015). Assimilation of Freeze/Thaw Observations into the NASA Catchment Land Surface Model. Journal of Hydrometeorology, 16(2), 730-743, doi:10.1175/JHM-D-14-0065.1.
Lievens, H., Verhoest, N. E. C., Martens, B., van den Berg, M. J., Al Bitar, A., Kumar Tomer, S., Merlin, O., Cabot, F., Kerr, Y., De Lannoy G.J.M., Drusch, M., Hendricks-Franssen, H.-J., Vereecken, H., Pan, M., Wood, E. F., Dumedah, G., Walker, J. P., Pauwels, V. R. N. (2014). Optimization of a radiative transfer forward operator for simulating SMOS brightness temperatures over the Upper Mississippi Basin, USA. Journal of Hydrometeorology, 16, 1109–1134, doi: http://dx.doi.org/10.1175/JHM-D-14-0052.1
Draper, C. S., Reichle, R. H., De Lannoy, G.J.M., Scarino, B. (2014). A dynamic approach to addressing observation-minus-forecast mean bias in a land surface skin temperature data assimilation system. Journal of Hydrometeorology, 16, 449-464, doi:10.1175/JHM-D-14-0087.1.
Miernecki, M., Wigneron, J.-P., Lopez-Baeza, E., Kerr, Y., De Jeu, R., De Lannoy, G.J.M., Jackson, T.J., O'Neill, P.E., Schwank, M., Fernandez-Moran, R., Bircher, S., Lawrence, H., Mialon, A., Al Bitar, A., Richaume, P. (2014). Comparison of SMOS and SMAP soil moisture retrieval approaches using tower-based radiometer data over a vineyard field. Remote Sensing of Environment, 154, 89-101, doi:10.1016/j.rse.2014.08.002.
De Lannoy, G.J.M., Koster, R.D., Reichle, R.H., Mahanama, S.P., Liu, Q. (2014). An Updated Treatment of Soil Texture and Associated Hydraulic Properties in a Global Land Modeling System. Journal of Advances in Modeling Earth Systems, 6, 23p., doi:10.1002/2014MS000330.
Alyaari, A., Wigneron, J.-P., Ducharne, A., Kerr, Y., Wagner, W., De Lannoy, G.J.M., Reichle, R.H., Al Bitar, A., Dorigo, W., Richaume, P., Mialon, A. (2014). Global-scale comparison of passive (SMOS) and active (ASCAT) satellite-based microwave soil moisture retrievals with soil moisture simulations (MERRA-Land). Remote Sensing of Environment, 152, 614-626, doi:10.1016/j.rse.2014.07.01.
De Lannoy, G.J.M., Reichle, R.H., Vrugt, J.A. (2014). Uncertainty Quantification of GEOS-5 L-Band Radiative Transfer Model Parameters using Bayesian Inference and SMOS Observations. Remote Sensing of Environment, 148, 146-157, doi:10.1016/j.rse.2014.03.030.
Reichle, R.H., De Lannoy, G.J.M., Forman, B.A., Draper, C.S., Liu, Q. (2014). Connecting satellite observations with water cycle variables through land data assimilation: Examples using the NASA GEOS-5 LDAS. Surveys of Geophysics, 35, 577-606, doi:10.1007/s10712-013-9220-8.
Lahoz, W.A., De Lannoy, G.J.M. (2014). Closing the gaps in our knowledge of the hydrological cycle over land: conceptual problems. Surveys of Geophysics, 35, 623–660, doi:10.1007/s10712-013-9221-7.
Arsenault, K.A., Houser, P.H., De Lannoy, G.J.M. (2014). Evaluation of the MODIS snow cover fraction product. Hydrological Processes, 28(3), 980-998, doi: 10.1002/hyp.9636.
Arsenault, K.R., Houser, P.R., De Lannoy, G.J.M., Dirmeyer, P.A. (2013). Impacts of snow cover fraction assimilation on modeled energy and moisture budgets. Journal of Geophysical Research, 118(14), 7489–7504, doi: 10.1002/jgrd.50542.
Plaza Guingla, D.A., De Keyser, R., De Lannoy, G.J.M., Giustarini, L., Matgen, P., Pauwels, V.R.N. (2013). Improving particle filters: application of the resample-move step and the Gaussian particle filter in rainfall-runoff models. Water Resources Research, 49(7), 4005–4021, doi: 10.1002/wrcr.20291.
Pauwels, V.R.N., De Lannoy, G.J.M., Hendricks Franssen, H.-J., Vereecken, H. (2013). Simultaneous estimation of model state variables and observation and forecast biases using a two-stage hybrid Kalman filter. Hydrol. Earth Syst. Sci. Discuss., 10, 5169-5224, doi:10.5194/hessd-10-5169-2013.
De Lannoy, G.J.M., Reichle, R.H., Pauwels, V.R.N. (2013). Global calibration of the GEOS-5 L-band microwave radiative transfer model over nonfrozen land using SMOS observations. Journal of Hydrometeorology, 14, 765–785, doi:10.1175/JHM-D-12-092.
Luo, Y., Feng, X., Houser, P., Anantharaj, V., Fan, X., De Lannoy, G., Zhan, X., Dabbiru, L. (2013). Potential soil moisture products from the Aquarius radiometer and scatterometer using an observing system simulation experiment. Geoscientific Instrumentation, Methods and Data Systems, 2, 457–476, doi:10.5194/gid-2-457-2012.
Sahoo, A K., De Lannoy, G.J.M., Reichle, R.H., Houser, P.R. (2013). Assimilation and downscaling of satellite observed soil moisture over the Little River experimental watershed in Georgia, USA. Advances in Water Resources, 52, 19-33, doi:10.1016/j.advwatres.2012.08.007.
Draper, C. S., Reichle, R. H., De Lannoy, G. J. M., Liu, Q. (2012). Assimilation of passive and active microwave soil moisture retrievals, Geophysical Research Letters, 39, L04401, doi:10.1029/2011GL050655.
Plaza, D.A., De Keyser, R., De Lannoy, G.J.M., Giustarini, L., Matgen, P., Pauwels, V.R.N. (2012). The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter. Hydrology and Earth System Sciences, 16(2), 375-390, doi: 10.5194/hess-16-375-2012.
De Lannoy, G.J.M., Reichle, R.H., Houser, P.R., Arsenault, K., Kumar, S., Verhoest, N.E.C., Pauwels, V.R.N. (2012). Multi-scale assimilation of AMSR-E snow water equivalent and MODIS snow cover fraction in northern Colorado. Water Resources Research, 48(1), W01522, doi:10.1029/2011WR010588.
Giustarini, L., P. Matgen, R. Hostache, M. Montanari, D. Plaza,V.R.N. Pauwels, G.J.M. De Lannoy, R. De Keyser, L. Pfister, L. Hoffmann, and H.H.G. Savenije (2011). Assimilating SAR-derived water level data into a hydraulic model: a case study. Hydrology and Earth System Sciences, 15(7), 2349-2365, doi:10.5194/hess-15-2349-2011.
Reichle, R.H., Koster, R.D., De Lannoy, G.J.M., Forman, B.A., Liu, Q., Mahanama, S.P.P., Toure, A. (2011). Assessment and enhancement of MERRA land surface hydrology estimates. Journal of Climate, 24, 6322-6338, doi:10.1175/JCLI-D-10-05033.1.
Liu, Q., Reichle, R.H., Bindlish, R., Cosh, M.H., Crow, W. T., de Jeu, R., De Lannoy, G.J.M., Huffman, G.J., Jackson, T.J. (2011). The contribution of precipitation forcing and satellite observations of soil moisture on the skill of soil moisture estimates in a land data assimilation system. Journal of Hydrometeorology, 12, 750-765, doi:10.1175/JHM-D-10-05000.1.
Pauwels, V.R.N., and G.J.M. De Lannoy (2011). Multivariate calibration of a water and energy balance model in the spectral domain. Water Resources Research, 47(7), W07523, doi:10.1029/2010WR010292.
Loosvelt, L., Pauwels, V.R.N., Cornelis, W., De Lannoy, G.J.M., Verhoest, N.E.C. (2011). Impact of soil hydraulic parameter uncertainty on soil moisture modelling. Water Resources Research, 47(3), W03505, doi:10.1029/2010WR009204.
De Lannoy, G.J.M., Ufford, J., Sahoo, A. K., Houser, P. R., Dirmeyer, P. (2011). Observed and simulated water and energy budget components at SCAN sites in the Lower Mississippi Basin. Hydrological Processes, 25(4), 634-649, doi:10.1002/hyp.7855.
Matgen, P., Montanari, M., Hostache, R., Pfister, L., Hoffmann, L., Plaza, D., Pauwels, V.R.N., De Lannoy, G.J.M., De Keyser, R., Savenije, H.H.G. (2010). Towards the sequential assimilation of SAR-derived water stages into hydraulic models using the Particle Filter: proof of concept. Hydrology and Earth System Sciences, 14(9), 1773-1785.
Quets, J.J., De Lannoy, G.J.M., Pauwels, V.R.N. (2010). Comparison of spectral and time domain calibration methods for precipitation-discharge processes. Hydrological Processes, 24, 1048-1062, doi:10.5194/hess-14-1773-2010.
De Lannoy, G.J.M., Reichle, R.H., Houser, P.R., Arsenault, K.R., Verhoest, N.E.C. and Pauwels, V.R.N. (2010). Satellite-Scale Snow Water Equivalent Assimilation into a High-Resolution Land Surface Model. Journal of Hydrometeorology, 11(2), 352-369, doi:10.1175/2009JHM1192.1.
Pauwels, V.R.N., De Lannoy, G.J.M. (2009). Ensemble-based assimilation of discharge into rainfall-runoff models: a comparison of approaches to mapping observational information to state space. Water Resources Research, 45(8), W08428, doi:10.1029/2008WR007590.
De Lannoy, G.J.M., Houser, P.R., Verhoest, N.E.C., Pauwels, V.R.N. (2009). Adaptive soil moisture profile filtering for horizontal information propagation in the independent column-based CLM2.0. Journal of Hydrometeorology, 10(3), 766-779, doi:10.1175/2008JHM1037.1.
De Lannoy, G.J.M., Houser, P.R., Verhoest, N.E.C., Pauwels, V.R.N., Gish, T. (2007). Upscaling of point soil moisture observations to field averages at the OPE3 site. Journal of Hydrology, 343(1-2), 1-11, doi:10.1016/j.jhydrol.2007.06.004.
De Lannoy, G.J.M., Reichle R.H., Houser P.R., Pauwels V.R.N., Verhoest N.E.C. (2007). Correction to `Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman Filter'. Water Resources Research, 43(10), W10799, doi:10.1029/2007WR006542.
De Lannoy, G.J.M., Reichle, R.H., Houser, P.R., Pauwels, V.R.N., Verhoest, N.E.C. (2007). Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter. Water Resources Research, 43, W09410, dos:10.1029/2006WR005449.
Pauwels, V.R.N., Verhoest, N.E.C., De Lannoy, G.J.M., Defourny, P., Guissard, V., Lucau, C. (2007). Optimization of a coupled hydrology/crop growth model through the assimilation of observed soil moisture and LAI values using an Ensemble Kalman Filter. Water Resources Research, 43(4), W04421, doi:10.1029/2006WR004942.
De Lannoy, G.J.M., Houser, P.R., Pauwels, V.R.N., Verhoest, N.E.C. (2006). State and bias estimation for soil moisture profiles by an ensemble Kalman filter: effect of assimilation depth and frequency. Water Resources Research, 43(6), W06401, doi:10.1029/2006WR005100.
De Lannoy, G.J.M., Houser, P.R., Pauwels, V.R.N., Verhoest, N.E.C. (2006). Assessment of model uncertainty for soil moisture through ensemble verification. Journal of Geophysical Research, 111, D10101, doi:10.1029/2005JD006367.
Pauwels, V.R.N. and De Lannoy, G.J.M. (2006). Improvement of modeled soil wetness conditions and turbulent fluxes through the assimilation of observed discharge. Journal of Hydrometeorology, 7 (3), 458-477, doi: 10.1175/JHM490.1.
De Lannoy, G.J.M., Verhoest, N.E.C., Houser, P.R., Gish, T., Van Meirvenne, M. (2006). Spatial and temporal characteristics of soil moisture in an intensively monitored agricultural field (OPE3). Journal of Hydrology, 331(3-4), 719-730, doi:10.1016/j.jhydrol.2006.06.016.
De Lannoy, G.J.M., Verhoest, N.E.C., De Troch, F.P. (2005). Characteristics of rainstorms over a temperate region derived from multiple time series of weather radar images. Journal of Hydrology, 307 (1-4), 126-144, doi:10.1016/j.jhydrol.2004.10.007.
Other journal papers:
De Lannoy, G. (2023). Wat we weten over water dankzij computermodellen en satellietmetingen. Karakter, Tijdschrift van Wetenschap, 82.
Reichle, R. H., De Lannoy, G., Liu, Q., Ardizzone, J. (2016). SMAP Data Assimilation at the GMAO. Joint Center for Satellite Data Assimilation Quarterly Newsletter, 53, 1-5.
De Lannoy, G.J.M., Pauwels, V.R.N., Verhoest, N.E.C. (2008). The image of the Earth (Het beeld van de Aarde). Journal of the Royal Flemish Society for Engineering, 11-12, p.22-27. (in Dutch)
De Lannoy, G.J.M., Pauwels, V.R.N., Verhoest, N.E.C. (2007). Hydrological modeling, forecast errors and data assimilation, Water. (in Dutch)
Pauwels, V., De Lannoy, G., Verhoest, N. (2006). Combined use of hydrological models and remote sensing for water management, Water, 25, September-October. (in Dutch)
De Lannoy, G. (2002). It does not rain anywhere in the same way as it rains in Uccle (Zoals het regent in Ukkel, regent het nergens). Journal of the Royal Flemish Society for Engineering, 6-7, p.58-64. (in Dutch)