| publications-2151 |
Peer reviewed articles |
2022 |
Gabriëlle J. M. De Lannoy, Michel Bechtold, Clément Albergel, Luca Brocca, Jean-Christophe Calvet, Alberto Carrassi,, Wade T. Crow, Patricia de Rosnay, Michael Durand, Barton Forman, Gernot Geppert, Manuela Girotto, Harrie-Jan Hendricks Franssen, Tobias Jonas, Sujay Kumar, Hans Lievens, Yang Lu, Christian Massari,Valentijn R. N. Pauwels, Rolf H. Reichle, Susan Steele-Dunne |
Perspective on Satellite-Based Land Data Assimilation to Estimate Water Cycle Components in an Era of Advanced Data Availability and Model Sophistication |
Frontiers in water |
10.3389/frwa.2022.981745 |
Uncategorized |
Uncategorized |
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The beginning of the 21st century is marked by a rapid growth of land surface satellite data and model sophistication. This offers new opportunities to estimate multiple components of the water cycle via satellite-based land data assimilation (DA) across multiple scales. By resolving more processes in land surface models and by coupling the land, the atmosphere, and other Earth system compartments, the observed information can be propagated to constrain additional unobserved variables. Furthermore, access to more satellite observations enables the direct constraint of more and more components of the water cycle that are of interest to end users. However, the finer level of detail in models and data is also often accompanied by an increase in dimensions, with more state variables, parameters, or boundary conditions to estimate, and more observations to assimilate. This requires advanced DA methods and efficient solutions. One solution is to target specific observations for assimilation based on a sensitivity study or coupling strength analysis, because not all observations are equally effective in improving subsequent forecasts of hydrological variables, weather, agricultural production, or hazards through DA. This paper offers a perspective on current and future land DA development, and suggestions to optimally exploit advances in observing and modeling systems. |
773903 |
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| publications-2152 |
Peer reviewed articles |
2021 |
de Roos, S; De Lannoy, GJM; Raes, D |
Performance analysis of regional AquaCrop (v6.1) biomass and surface soil moisture simulations using satellite and in situ observations |
Geoscientific Model Development |
10.5194/gmd-14-7309-2021 |
Uncategorized |
Natural Water Bodies |
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Abstract. The current intensive use of agricultural land is affecting the land quality and contributes to climate change. Feeding the world's growing population under changing climatic conditions demands a global transition to more sustainable agricultural systems. This requires efficient models and data to monitor land cultivation practices at the field to global scale. This study outlines a spatially distributed version of the field-scale crop model AquaCrop version 6.1 to simulate agricultural biomass production and soil moisture variability over Europe at a relatively fine resolution of 30 arcsec (∼1 km). A highly efficient parallel processing system is implemented to run the model regionally with global meteorological input data from the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2), soil textural information from the Harmonized World Soil Database version 1.2 (HWSDv1.2), and generic crop information. The setup with a generic crop is chosen as a baseline for a future satellite-based data assimilation system. The relative temporal variability in daily crop biomass production is evaluated with the Copernicus Global Land Service dry matter productivity (CGLS-DMP) data. Surface soil moisture is compared against NASA Soil Moisture Active–Passive surface soil moisture (SMAP-SSM) retrievals, the Copernicus Global Land Service surface soil moisture (CGLS-SSM) product derived from Sentinel-1, and in situ data from the International Soil Moisture Network (ISMN). Over central Europe, the regional AquaCrop model is able to capture the temporal variability in both biomass production and soil moisture, with a spatial mean temporal correlation of 0.8 (CGLS-DMP), 0.74 (SMAP-SSM), and 0.52 (CGLS-SSM). The higher performance when evaluating with SMAP-SSM compared to Sentinel-1 CGLS-SSM is largely due to the lower quality of CGLS-SSM satellite retrievals under growing vegetation. The regional model further captures the short-term and inter-annual variability, with a mean anomaly correlation of 0.46 for daily biomass and mean anomaly correlations of 0.65 (SMAP-SSM) and 0.50 (CGLS-SSM) for soil moisture. It is shown that soil textural characteristics and irrigated areas influence the model performance. Overall, the regional AquaCrop model adequately simulates crop production and soil moisture and provides a suitable setup for subsequent satellite-based data assimilation. |
773903 |
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| publications-2153 |
Peer reviewed articles |
2022 |
Wang, S; Szeles, B; Krammer, C; Schmaltz, E; Song, K; Li, Y; Zhang, Z; Blöschl, G; Strauss, P |
Agricultural intensification vs. climate change: what drives long-term changes in sediment load? |
Hydrology and Earth System Sciences |
10.5194/hess-26-3021-2022 |
Uncategorized |
Groundwater |
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Abstract. Climate change and agricultural intensification are expected to increase soil erosion and sediment production from arable land in many regions. However, to date, most studies have been based on short-term monitoring and/or modeling, making it difficult to assess their reliability in terms of estimating long-term changes. We present the results of a unique data set consisting of measurements of sediment loads from a 60 ha catchment – the Hydrological Open Air Laboratory (HOAL) – in Petzenkirchen, Austria, which was observed periodically over a time period spanning 72 years. Specifically, we compare Period I (1946–1954) and Period II (2002–2017) by fitting sediment rating curves (SRCs) for the growth and dormant seasons for each of the periods. The results suggest a significant increase in sediment loads from Period I to Period II, with an average of 5.8 ± 3.8 to 60.0 ± 140.0 t yr−1. The sediment flux changed mainly due to a shift in the SRCs, given that the mean daily discharge significantly decreased from 5.0 ± 14.5 L s−1 for Period I to 3.8 ± 6.6 L s−1 for Period II. The slopes of the SRCs for the growing season and the dormant season of Period I were 0.3 and 0.8, respectively, whereas they were 1.6 and 1.7 for Period II, respectively. Climate change, considered in terms of rainfall erosivity, was not responsible for this shift, because erosivity decreased by 30.4 % from the dormant season of Period I to that of Period II, and no significant difference was found between the growing seasons of periods I and II. However, the change in sediment flux can be explained by land use and land cover change (LUCC) and the change in land structure (i.e., the organization of land parcels). Under low- and median-streamflow conditions, the land structure in Period II (i.e., the parcel effect) had no apparent influence on sediment yield. With increasing streamflow, it became more important in controlling sediment yield, as a result of an enhanced sediment connectivity in the landscape, leading to a dominant role under high-flow conditions. The increase in crops that make the landscape prone to erosion and the change in land uses between periods I and II led to an increase in sediment flux, although its relevance was surpassed by the effect of parcel structure change under high-flow conditions. We conclude that LUCC and land structure change should be accounted for when assessing sediment flux changes. Especially under high-flow conditions, land structure change substantially altered sediment fluxes, which is most relevant for long-term sediment loads and land degradation. Therefore, increased attention to improving land structure is needed in climate adaptation and agricultural catchment management. |
773903 |
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| publications-2154 |
Peer reviewed articles |
2021 |
M. López-Vicente, J.A. Gómez, G. Guzmán, J. Calero, R. García-Ruiz |
The role of cover crops in the loss of protected and non-protected soil organic carbon fractions due to water erosion in a Mediterranean olive grove |
Soil and Tillage Research |
10.1016/j.still.2021.105119 |
Uncategorized |
Groundwater |
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No abstract available |
773903 |
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| publications-2155 |
Peer reviewed articles |
2022 |
Barlin O. Olivares, Julio Calero, Juan C. Rey, Deyanira Lobo, Blanca B. Landa, José A. Gómez |
Correlation of banana productivity levels and soil morphological properties using regularized optimal scaling regression |
CATENA |
10.1016/j.catena.2021.105718 |
Uncategorized |
Natural Water Bodies |
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No abstract available |
773903 |
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| publications-2156 |
Peer reviewed articles |
2020 |
Barlin Orlando Olivares, Miguel Araya-Alman, Cesar Acevedo-Opazo, Juan Carlos Rey, Paulo Cañete-Salinas, Franca Giannini Kurina, Mónica Balzarini, Deyanira Lobo, Juan A. Navas-Cortés, Blanca B. Landa, José Alfonso Gómez |
Relationship Between Soil Properties and Banana Productivity in the Two Main Cultivation Areas in Venezuela |
Journal of Soil Science and Plant Nutrition |
10.1007/s42729-020-00317-8 |
Uncategorized |
Groundwater |
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No abstract available |
773903 |
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| publications-2157 |
Peer reviewed articles |
2021 |
N. Ohana-Levi, A. Derumigny, A. Peeters, A. Ben-Gal, I. Bahat, L. Katz, Y. Netzer, A. Naor, Y. Cohen |
A multifunctional matching algorithm for sample design in agricultural plots |
Computers and Electronics in Agriculture |
10.1016/j.compag.2021.106262 |
Uncategorized |
Groundwater |
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No abstract available |
773903 |
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| publications-2158 |
Peer reviewed articles |
2020 |
Francisco Pedrero, S.R. Grattan, Alon Ben-Gal, Gaetano Alessandro Vivaldi |
Opportunities for expanding the use of wastewaters for irrigation of olives |
Agricultural Water Management |
10.1016/j.agwat.2020.106333 |
Uncategorized |
Natural Water Bodies |
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No abstract available |
773903 |
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| publications-2159 |
Peer reviewed articles |
2020 |
R. López-Urrea, J.M. Sánchez, A. Montoro, F. Mañas, D.S. Intrigliolo |
Effect of using pruning waste as an organic mulching on a drip-irrigated vineyard evapotranspiration under a semi-arid climate |
Agricultural and Forest Meteorology |
10.1016/j.agrformet.2020.108064 |
Uncategorized |
Groundwater |
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No abstract available |
773903 |
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| publications-2160 |
Peer reviewed articles |
2021 |
A. Tallou, F. Aziz, A. J. Garcia, F. P. Salcedo, F. E. El Minaoui, S. Amir |
Bio-fertilizers issued from anaerobic digestion for growing tomatoes under irrigation by treated wastewater: targeting circular economy concept |
International Journal of Environmental Science and Technology |
10.1007/s13762-021-03265-7 |
Data Management & Analytics |
Groundwater |
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No abstract available |
773903 |
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