Search Results - "Lannoy, G. J. M. De"

Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates by 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

“…SMAP (Soil Moisture Active and Passive) radiometer observations at ~40 km resolution are routinely assimilated into the NASA Catchment Land Surface Model to…”
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Assimilation of passive and active microwave soil moisture retrievals by Draper, C. S., Reichle, R. H., De Lannoy, G. J. M., Liu, Q.

“…Near‐surface soil moisture observations from the active microwave ASCAT and the passive microwave AMSR‐E satellite instruments are assimilated, both separately…”
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The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter by Plaza, D. A, De Keyser, R, De Lannoy, G. J. M, Giustarini, L, Matgen, P, Pauwels, V. R. N

“…The Sequential Importance Sampling with Resampling (SISR) particle filter and the SISR with parameter resampling particle filter (SISR-PR) are evaluated for…”
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Tropical peatland hydrology simulated with a global land surface model by Apers, S., Lannoy, G. J. M. De, Baird, A. J., Cobb, A. R., Dargie, G. C., Pasquel, J. Del Aguila, Gruber, A., Hastie, A., Hidayat, H., Hirano, T., Hoyt, A. M., Jovani-Sancho, A. J., Katimon, A., Kurnain, A., Koster, R. D., Lampela, M., Mahanama, S. P. P., Melling, L., Page, S. E., Reichle, R. H., Taufik, M., Vanderborght, J., Bechtold, M.

“…Tropical peatlands are among the most carbon-dense ecosystems on Earth, and their water storage dynamics strongly control these carbon stocks. The hydrological…”
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Simultaneous estimation of model state variables and observation and forecast biases using a two-stage hybrid Kalman filter by Pauwels, V. R. N, De Lannoy, G. J. M, Hendricks Franssen, H.-J, Vereecken, H

“…In this paper, we present a two-stage hybrid Kalman filter to estimate both observation and forecast bias in hydrologic models, in addition to state variables…”
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Evaluating soil moisture retrievals from ESA's SMOS and NASA's SMAP brightness temperature datasets by Al-Yaari, A., Wigneron, J.-P., Kerr, Y., Rodriguez-Fernandez, N., O'Neill, P.E., Jackson, T.J., De Lannoy, G.J.M., Al Bitar, A., Mialon, A., Richaume, P., Walker, J.P., Mahmoodi, A., Yueh, S.

“…Two satellites are currently monitoring surface soil moisture (SM) using L-band observations: SMOS (Soil Moisture and Ocean Salinity), a joint ESA (European…”
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Assimilating SAR-derived water level data into a hydraulic model: a case study by Giustarini, L., Matgen, P., Hostache, R., Montanari, M., Plaza, D., Pauwels, V. R. N., De Lannoy, G. J. M., De Keyser, R., Pfister, L., Hoffmann, L., Savenije, H. H. G.

“…Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially…”
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Towards the sequential assimilation of SAR-derived water stages into hydraulic models using the Particle Filter: proof of concept by 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.

“…With the onset of new satellite radar constellations (e.g. Sentinel-1) and advances in computational science (e.g. grid computing) enabling the supply and…”
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PEAT‐CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model by Bechtold, M., De Lannoy, G. J. M., Koster, R. D., Reichle, R. H., Mahanama, S. P., Bleuten, W., Bourgault, M. A., Brümmer, C., Burdun, I., Desai, A. R., Devito, K., Grünwald, T., Grygoruk, M., Humphreys, E. R., Klatt, J., Kurbatova, J., Lohila, A., Munir, T. M., Nilsson, M. B., Price, J. S., Röhl, M., Schneider, A., Tiemeyer, B.

“…Peatlands are poorly represented in global Earth system modeling frameworks. Here we add a peatland‐specific land surface hydrology module (PEAT‐CLSM) to the…”
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Sentinel‐1 Detects Firn Aquifers in the Greenland Ice Sheet by Brangers, I., Lievens, H., Miège, C., Demuzere, M., Brucker, L., De Lannoy, G. J. M.

“…Firn aquifers in Greenland store liquid water within the upper ice sheet and impact the hydrological system. Their location and area have been estimated with…”
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Assimilation of SMOS soil moisture and brightness temperature products into a land surface model by Lievens, H., De Lannoy, G.J.M., Al Bitar, A., Drusch, M., Dumedah, G., Hendricks Franssen, H.-J., Kerr, Y.H., Tomer, S.K., Martens, B., Merlin, O., Pan, M., Roundy, J.K., Vereecken, H., Walker, J.P., Wood, E.F., Verhoest, N.E.C., Pauwels, V.R.N.

“…The Soil Moisture and Ocean Salinity (SMOS) mission has the potential to improve the predictive skill of land surface models through the assimilation of its…”
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Irrigation Quantification Through Backscatter Data Assimilation With a Buddy Check Approach by Busschaert, L., Bechtold, M., Modanesi, S., Massari, C., Brocca, L., Lannoy, G. J. M.

“…Irrigation is an important component of the terrestrial water cycle, but it is often poorly accounted for in models. Recent studies have attempted to integrate…”
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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 by Bechtold, M., De Lannoy, G.J.M., Reichle, R.H., Roose, D., Balliston, N., Burdun, I., Devito, K., Kurbatova, J., Strack, M., Zarov, E.A.

“…There is an urgent need to include northern peatland hydrology in global Earth system models to better understand land-atmosphere interactions and…”
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Optimization of a Radiative Transfer Forward Operator for Simulating SMOS Brightness Temperatures over the Upper Mississippi Basin by Lievens, H., Al Bitar, A., Verhoest, N. E. C., Cabot, F., De Lannoy, G. J. M., Drusch, M., Dumedah, G., Franssen, H.-J. Hendricks, Kerr, Y., Tomer, S. K., Martens, B., Merlin, O., Pan, M., van den Berg, M. J., Vereecken, H., Walker, J. P., Wood, E. F., Pauwels, V. R. N.

“…The Soil Moisture Ocean Salinity (SMOS) satellite mission routinely provides global multiangular observations of brightness temperature TB at both horizontal…”
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Assimilation of SMOS Brightness Temperatures or Soil Moisture Retrievals into a Land Surface Model by De Lannoy, Gabrielle J. M., Reichle, Rolf H.

“…Three different data products from the Soil Moisture Ocean Salinity (SMOS) mission are assimilated separately into the Goddard Earth Observing System Model,…”
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SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia by Lievens, H., Tomer, S.K., Al Bitar, A., De Lannoy, G.J.M., Drusch, M., Dumedah, G., Hendricks Franssen, H.-J., Kerr, Y.H., Martens, B., Pan, M., Roundy, J.K., Vereecken, H., Walker, J.P., Wood, E.F., Verhoest, N.E.C., Pauwels, V.R.N.

“…This study explores the benefits of assimilating SMOS soil moisture retrievals for hydrologic modeling, with a focus on soil moisture and streamflow…”
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Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP by Modanesi, Sara, Massari, Christian, Bechtold, Michel, Lievens, Hans, Tarpanelli, Angelica, Brocca, Luca, Zappa, Luca, De Lannoy, Gabriëlle J. M

“…In recent years, the amount of water used for agricultural purposes has been rising due to an increase in food demand. However, anthropogenic water usage, such…”
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Net irrigation requirement under different climate scenarios using AquaCrop over Europe by Busschaert, Louise, de Roos, Shannon, Thiery, Wim, Raes, Dirk, De Lannoy, Gabriëlle J. M

“…Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70 % of freshwater extraction is attributed…”
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Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land by Modanesi, Sara, Massari, Christian, Gruber, Alexander, Lievens, Hans, Tarpanelli, Angelica, Morbidelli, Renato, De Lannoy, Gabrielle J. M

“…Worldwide, the amount of water used for agricultural purposes is rising, and the quantification of irrigation is becoming a crucial topic. Because of the…”
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The benefit of brightness temperature assimilation for the SMAP Level-4 surface and root-zone soil moisture analysis by Qiu, Jianxiu, Dong, Jianzhi, Crow, Wade T, Zhang, Xiaohui, Reichle, Rolf H., Lannoy, Gabrielle J M De

“…The Soil Moisture Active Passive (SMAP) Level-4 (L4) product provides global estimates of surface soil moisture (SSM) and root-zone soil moisture (RZSM) via…”
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