Search

Your search keyword '"Olioso, Albert"' showing total 255 results
Start Over Author "Olioso, Albert" Language english
255 results on '"Olioso, Albert"'

8. Evapotranspiration mapping from remote sensing data: uncertainties and ensemble estimates based on multimodel – multidata simulations

Author

Olioso, Albert, Allies, Aubin, Desrutins, Hugo, Carrière, Simon, Farhani, Nesrine, Sobrino, José, Skoković, Drazen, Demarty, Jérôme, Etchanchu, Jordi, Boulet, Gilles, Buis, Samuel, Weiss, Marie, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des Forêts Méditerranéennes (URFM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), EARTHDAILY AGRO, Earth Daily Agro, Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Universitat de València (UV), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and ESA (European Space Agency)

Subjects
[SDE.MCG]Environmental Sciences/Global Changes
Abstract

International audience

Published
2023

9. The PRECOS framework: Measuring the impacts of the global changes on soils, water, agriculture on territories to better anticipate the future

Author

Trolard, Fabienne, Bourrié, Guilhem, Baillieux, Antoine, Buis, Samuel, Chanzy, André, Clastre, Philippe, Closet, Jean-François, Courault, Dominique, Dangeard, Marie-Lorraine, Di Virgilio, Nicola, Dussouilliez, Philippe, Fleury, Jules, Gasc, Jérémy, Géniaux, Ghislain, Jouan, Rachel, Keller, Catherine, Lecharpentier, Patrice, Lecroart, Jean, Napoleone, Claude, Mohammed, Gihan, Olioso, Albert, Reynders, Suzanne, Rossi, Federica, Tennant, Mike, and de Vicente Lopez, Javier

Published
2016
Full Text
View/download PDF

12. Evaluating European ECOSTRESS Hub Evapotranspiration Products Across a Range of Soil‐Atmospheric Aridity and Biomes Over Europe.

Author

Hu, Tian, Mallick, Kaniska, Hitzelberger, Patrik, Didry, Yoanne, Boulet, Gilles, Szantoi, Zoltan, Koetz, Benjamin, Alonso, Itziar, Pascolini‐Campbell, Madeleine, Halverson, Gregory, Cawse‐Nicholson, Kerry, Hulley, Glynn C., Hook, Simon, Bhattarai, Nishan, Olioso, Albert, Roujean, Jean‐Louis, Gamet, Philippe, and Su, Bob

Subjects
LAND surface temperature, BIOMES, EVAPOTRANSPIRATION, WATER supply, SPACE stations, SPATIO-temporal variation, SAVANNAS
Abstract

The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) is a scientific mission that collects high spatio‐temporal resolution (∼70 m, 1–5 days average revisit time) thermal images since its launch on 29 June 2018. As a predecessor of future missions, one of the main objectives of ECOSTRESS is to retrieve and understand the spatio‐temporal variations in terrestrial evapotranspiration (ET) and its responses to soil water availability and atmospheric aridity. In the European ECOSTRESS Hub (EEH), by taking advantage of land surface temperature (LST) retrievals, we generated ECOSTRESS ET products over Europe and Africa using three models with different structures and parameterization schemes, namely Surface Energy Balance System (SEBS) and Two Source Energy Balance (TSEB) parametric models, as well as the non‐parametric Surface Temperature Initiated Closure (STIC) model. A comprehensive evaluation of the EEH ET products was conducted with respect to flux measurements from 19 eddy covariance sites in Europe over six different biomes with diverse aridity levels. Results revealed comparable performances of STIC and SEBS (RMSE of ∼70 W m−2). However, the relatively complex TSEB model produced a higher RMSE of ∼90 W m−2. Comparison between STIC ET estimates and the operational ECOSTRESS ET product from NASA PT‐JPL model showed a larger RMSE (around 50 W m−2 higher) for the PT‐JPL ET estimates. Substantial overestimation (>80 W m−2) in PT‐JPL ET estimates was evident over shrublands and savannas, presumably due to weak constraint of LST in the model. Overall, the EEH supports ET retrieval for the future high‐resolution thermal missions. Key Points: Evapotranspiration products over Europe and Africa were generated using three models (Surface Temperature Initiated Closure, Surface Energy Balance System, and Two Source Energy Balance) in the European ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) HubComparison at 19 eddy covariance sites revealed noteworthy model divergence with increasing aridity and vegetation sparsenessA substantial overestimation of the official NASA ECOSTRESS PT‐JPL evapotranspiration product was found under high water limitations [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

16. Plant hydraulic modelling of leaf and canopy fuel moisture content reveals increasing vulnerability of a Mediterranean forest to wildfires under extreme drought.

Author

Ruffault, Julien, Limousin, Jean‐Marc, Pimont, François, Dupuy, Jean‐Luc, De Càceres, Miquel, Cochard, Hervé, Mouillot, Florent, Blackman, Chris J., Torres‐Ruiz, José M., Parsons, Russell A., Moreno, Myriam, Delzon, Sylvain, Jansen, Steven, Olioso, Albert, Choat, Brendan, and Martin‐StPaul, Nicolas

Subjects
DROUGHTS, DROUGHT management, HYDRAULIC models, LEAF area index, MOISTURE, FOREST dynamics, FOREST fires
Abstract

Summary: Fuel moisture content (FMC) is a crucial driver of forest fires in many regions world‐wide. Yet, the dynamics of FMC in forest canopies as well as their physiological and environmental determinants remain poorly understood, especially under extreme drought.We embedded a FMC module in the trait‐based, plant‐hydraulic SurEau‐Ecos model to provide innovative process‐based predictions of leaf live fuel moisture content (LFMC) and canopy fuel moisture content (CFMC) based on leaf water potential (ψLeaf). SurEau‐Ecos‐FMC relies on pressure–volume (p‐v) curves to simulate LFMC and vulnerability curves to cavitation to simulate foliage mortality.SurEau‐Ecos‐FMC accurately reproduced ψLeaf and LFMC dynamics as well as the occurrence of foliage mortality in a Mediterranean Quercus ilex forest. Several traits related to water use (leaf area index, available soil water, and transpiration regulation), vulnerability to cavitation, and p‐v curves (full turgor osmotic potential) had the greatest influence on LFMC and CFMC dynamics. As the climate gets drier, our results showed that drought‐induced foliage mortality is expected to increase, thereby significantly decreasing CFMC.Our results represent an important advance in our capacity to understand and predict the sensitivity of forests to wildfires. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

18. How Accurately Do Maize Crop Models Simulate the Interactions of Atmospheric CO2 Concentration Levels With Limited Water Supply on Water Use and Yield?

Author

Durand, Jean-Louis, Delusca, Kenel, Boote, Ken, Lizaso, Jon, Manderscheid, Remy, Weigel, Hans Johachim, Ruane, Alexander Clark, Rosenzweig, Cynthia E, Jones, Jim, Ahuja, Laj, Anapalli, Saseendran, Basso, Bruno, Baron, Christian, Bertuzzi, Patrick, Biernath, Christian, Deryng, Delphine, Ewert, Frank, Gaiser, Thomas, Gayler, Sebastian, Heilein, Florian, Kersebaum, Kurt Christian, Kim, Soo-Hyung, Muller, Christoph, Nendel, Claas, Olioso, Albert, Priesack, Eckart, Villegas, Julian Ramirez, Ripoche, Dominique, Rotter, Reimund P, Seidel, Sabine I, Srivastava, Amit, Tao, Fulu, Timlin, Dennis, Twine, Tracy, Wang, Enli, Webber, Heidi, and Zhao, Zhigan

Subjects
Earth Resources And Remote Sensing, Statistics And Probability, Meteorology And Climatology
Abstract

This study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration [CO2] on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thunen Institute in Braunschweig, Germany (Manderscheid et al. 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50 percent of models within a range of plus/minus 1 Mg ha(exp. -1) around the mean. The bias of the median of the 21 models was less than 1 Mg ha(exp. -1). However under water deficit in one of the two years, the models captured only 30 percent of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase.

Published
2017
Full Text
View/download PDF

21. Management effects on European cropland respiration

Author

Eugster, Werner, Moffat, Antje M., Ceschia, Eric, Aubinet, Marc, Ammann, Christof, Osborne, Bruce, Davis, Phillip A., Smith, Pete, Jacobs, Cor, Moors, Eddy, Le Dantec, Valérie, Béziat, Pierre, Saunders, Matthew, Jans, Wilma, Grünwald, Thomas, Rebmann, Corinna, Kutsch, Werner L., Czerný, Radek, Janouš, Dalibor, Moureaux, Christine, Dufranne, Delphine, Carrara, Arnaud, Magliulo, Vincenzo, Di Tommasi, Paul, Olesen, Jørgen E., Schelde, Kirsten, Olioso, Albert, Bernhofer, Christian, Cellier, Pierre, Larmanou, Eric, Loubet, Benjamin, Wattenbach, Martin, Marloie, Olivier, Sanz, Maria-José, Søgaard, Henrik, and Buchmann, Nina

Published
2010
Full Text
View/download PDF

22. Variability in carbon exchange of European croplands

Author

Moors, Eddy J., Jacobs, Cor, Jans, Wilma, Supit, Iwan, Kutsch, Werner L., Bernhofer, Christian, Béziat, Pierre, Buchmann, Nina, Carrara, Arnaud, Ceschia, Eric, Elbers, Jan, Eugster, Werner, Kruijt, Bart, Loubet, Benjamin, Magliulo, Enzo, Moureaux, Christine, Olioso, Albert, Saunders, Matt, and Soegaard, Henrik

Published
2010
Full Text
View/download PDF

24. Tree xylem water isotope analysis by Isotope Ratio Mass Spectrometry and laser spectrometry: A dataset to explore tree response to drought

Author

Carriere, Simon Damien, Martin-Stpaul, Nicolas, Cakpo, Coffi Belmys, Patris, Nicolas, Gillon, Marina, Chalikakis, Konstantinos, Doussan, Claude, Olioso, Albert, Babic, Milanka, Jouineau, Arnaud, Simioni, Guillaume, Davi, Hendrik, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des Forêts Méditerranéennes (URFM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Hydrosciences Montpellier (HSM), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), and Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Karst, lcsh:Computer applications to medicine. Medical informatics, Xylem isotopes, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, Environmental Science, lcsh:R858-859.7, 2H, Mediterranean forest, 18O, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDV.EE.BIO]Life Sciences [q-bio]/Ecology, environment/Bioclimatology, lcsh:Science (General), Tree, lcsh:Q1-390
Abstract

Water isotopes from plant xylem and surrounding environment are increasingly used in eco-hydrological studies. Carrière et al. [1] analyzed a dataset of water isotopes in (i) the xylem of three different tree species, (ii) the surrounding soil and drainage water and (iii) the underlying karst groundwater, to understand tree water uptake during drought in two different Mediterranean forests on karst setting. The xylem and soil water were extracted by cryogenic distillation. The full dataset was obtained with Isotope Ratio Mass Spectrometry (IRMS) and Isotope Ratio Infrared Spectrometer (IRIS), and included 219 measurements of δ2H and δ18O. Prompted by unexpected isotopic data characterized by a very negative deuterium excess, a subsample of 46 xylem samples and 9 soil water samples were double checked with both analytical techniques. IRMS and IRIS analyses yielded similar data. Therefore, the results reveal that laser spectrometry allows an accurate estimation of xylem and soil water isotopes. The dataset highlights a strong 2H depletion in xylem water for all species. Deuterium does not seem adequate to interpret ecological processes in this dataset given the strong fractionation. Keywords: Xylem isotopes, Tree, 18O, 2H, Mediterranean forest, Karst

Published
2020

25. Centre d'expertise scientifique (CES) température de surface et emissivité

Author

Michel, Aurélie, Briottet, Xavier, Irvine, Mark, Lemonsu, Aude, Musy, Marjorie, Nerry, Françoise, Olioso, Albert, Ottle, Catherine, Rivalland, Vincent, Rodler, Auline, Roujean, Jean-Louis, ONERA / DOTA, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Météo-France Direction Interrégionale Sud-Est (DIRSE), Météo-France, École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema)

Subjects
[SDE.MCG]Environmental Sciences/Global Changes
Abstract

International audience; Le Centre d’Expertise Scientifique (CES) Température de surface et émissivité (LST/LSE) réunit des équipes de l’Onera, d’Icube, du LSCE, du Cesbio, de l’INRAE, du Cerema, du CNRM, du CNES et de l’OFB travaillant sur l’amélioration de l’estimation de la température de surface (LST), de l’émissivité de surface (LSE) ainsi que leur cartographie et leur usage. La communauté utilisatrice visée est autant scientifique qu’institutionnelle. L’objectif du CES est de répondre aux enjeux suivants :- Améliorer les algorithmes d’estimation pour les capteurs (actuels et futurs) à haute résolution spatiale dans l’infrarouge thermique- Établir des méthodes d’évaluation afin de fournir des produits avec une incertitude associée- Améliorer la résolution spatiale et/ou temporelle des estimations en fusionnant des données spatiales ou exogènes.- Développer des séries temporelles de produits thermiques- Valoriser et mettre à disposition des produits thermiques pour répondre aux différents besoins,- Fédérer la communauté scientifique et fluidifier les échanges avec les instituts

Published
2020

26. Synergie optique/radar pour l'estimation de l'évapotranspiration et de sa partition en vue d'un produit 'stress hydrique de la plante'

Author

Boulet, Gilles, Rafi, Zoubair, Le Dantec, Valérie, Fanise, Pascal, Olioso, Albert, Er-Raki, Salah, Merlin, Olivier, Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Université Cadi Ayyad [Marrakech] (UCA)

Subjects
[SDE.MCG]Environmental Sciences/Global Changes, stress hydrique de la plante, Synergie optique/radar, ComputingMilieux_MISCELLANEOUS, estimation de l'évapotranspiration
Abstract

International audience

Published
2019

27. Hydroclimatc monitoring in a chronic humanitarian crisis area - southwestern Madagascar

Author

Carrière, Simon, Health, Tom, CHALIKAKIS, Konstantinos, N'Diaye, Dieynaba, Rajaomahefasoa, Riva, Riems, Bram, Razakamanana, Théodore, Rakotomandrindra, Pascale, Mangin, Marie, Ollivier, Chloé, Olioso, Albert, Kempf, Jean, Rakoto, Heritiana, Lapègue, Jean, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Action contre la Faim (ACF), Institut et Observatoire de Géophysique et Astronomie d'Antananarivo, Madagascar (IOGA), Université de Toliara, and Carrière, Simon

Subjects
[SDV.EE.SANT]Life Sciences [q-bio]/Ecology, environment/Health, [SDU.STU.AG] Sciences of the Universe [physics]/Earth Sciences/Applied geology, [SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, [SDV.EE.SANT] Life Sciences [q-bio]/Ecology, environment/Health, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

31. To couple or not to couple, that’s the question!

Author

Timmermans, W., Olioso, Albert, Albertson, J. D., Department of Water Resources, UT-I-ITC-WCC, Faculty of Geo-Information Science and Earth Observation, and olioso, albert

Subjects
[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment
Abstract

Generally, remote sensing-based Land Surface Models (LSM) are driven by spatially heterogeneous surface inputs and spatially uniform inputs from the lower Atmospheric Boundary Layer (ABL). Since near-surface ABL properties are far from uniform the inclusion of their spatial variability in remote sensing-based LSMs might be expected to improve the resulting turbulent flux estimates. Therefore, for a little more than a decade now, research has been carried out to investigate whether and how incorporation of lower ABL variability in remote sensing data driven flux schemes could improve turbulent flux estimates. In this contribution we examine the magnitude of these atmospheric property variations and their corresponding feedback effects on turbulent flux estimates. This has been done by coupling a boundary layer simulator, by means of a Large-Eddy Simulation (LES) model, to a remote sensing-based Land Surface Model (LSM), where the coupling takes place in the lowest nodes of the LES model. We first illustrate the near-surface performance of recent discretization and sub-grid-scale parameterizations in the coupled LES-LSM framework by implementations over synthetic surfaces. We then quantify the consequences of the relevant feedback effects on the land surface flux estimates through numeric simulations. The effect of step-changes in heterogeneous surface states and conditions, that are typical for remote sensing-based turbulent flux models, on the atmospheric states and their potential feedback is shown. Analysis of these individual coupling factors revealed that the dominant feedback effect is the horizontal wind speed. Concluded is with an analysis of the combined feedback effects over natural and irrigated surfaces using data from large-scale field campaigns.

Published
2018

34. First Evidence of Correlation Between Evapotranspiration and Gravity at a Daily Time Scale From Two Vertically Spaced Superconducting Gravimeters.

Author

Carrière, Simon D., Loiseau, Bertille, Champollion, Cédric, Ollivier, Chloé, Martin‐StPaul, Nicolas K., Lesparre, Nolwenn, Olioso, Albert, Hinderer, Jacques, and Jougnot, Damien

Subjects
GRAVIMETRY, EVAPOTRANSPIRATION, GRAVITY, ECOHYDROLOGY, HYDROLOGISTS, HYDROLOGY
Abstract

Estimating evapotranspiration (ET) is a primary challenge in modern hydrology. Hydrogravimetry is an integrative approach providing highly precise continuous measurement of gravity acceleration. However, large‐scale effects (e.g., tides, polar motion, atmospheric loading) limit the fine time‐scale interpretation of the gravity data and processing leads to residual signal noise. To circumvent this limitation, we exploited the difference between two superconducting gravimeters (SGs) vertically spaced by 512 m. The gravity difference allows to remove common large‐scale effects. Daily variation of the gravity difference is significantly correlated with daily evapotranspiration as estimated using the water balance model SimpKcET (p‐value = 4.10−10). However, this approach is effective only during rain‐free periods. In the future, comparison with direct ET measurements (e.g., eddy‐covariance, scintillometer) may confirm and strengthen our interpretation. Improved hydrogravimetric data processing could extend the proposed approach to other experimental sites equipped with a single SG. Plain Language Summary: Land evaporation and vegetation transpiration are crucial parameters in ecohydrology because evapotranspiration constitutes more than two‐thirds of precipitated water at the continental scale. However, this invisible flux is difficult to characterize, especially at kilometric scale, and its quantification is challenging for the hydrologist community. Continuous gravity monitoring using a superconducting gravimeter is a direct estimation of the mass change of lands with high precision. At a mountain site in southern France, we highlight a significant association between evapotranspiration calculated by a numerical model and the mass loss of the mountain. This approach provides a novel way to monitor evapotranspiration that will reinforce traditionally used methods. Key Points: For the first time, two vertically spaced gravimeters allow to interpret small gravity hydrologically induced signal (<5 nm/s²)Superconducting gravimetric signal are correlated with evapotranspiration at daily time stepGravimetry enables an integrative estimate of evapotranspiration particularly relevant for hydrology [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

35. The role of deep vadose zone water in tree transpiration during drought periods in karst settings -insights from isotopic tracing and leaf water potential

Author

CARRIERE, Simon, St-Paul, Nicolas, Cakpo, Coffi, Patris, Nicolas, GILLON, Marina, Chalikakis, Konstantinos, Doussan, Claude, Olioso, Albert, Babic, Milanka, Jouineau, Arnaud, Simioni, Guillaume, Davi, Hendrik, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Avignon Université (AU), Service National d'Observation sur le KARST (SNO Karst), Institut national des sciences de l'Univers (INSU - CNRS), Institut National de la Recherche Agronomique (INRA), Hydrosciences Montpellier (HSM), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), and Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDE.MCG]Environmental Sciences/Global Changes, [SDE]Environmental Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Abstract

sous-presse; International audience; Karst environments are unusual because their dry, stony and shallow soils seem to be unfavorable to vegetation, and yet they are often covered with forests. How can trees survive in these environments ? Where do they find the water that allows them to survive? This study uses midday and predawn water potentials and xylem water isotopes of branches to assess tree water status and the origin of transpired water. Monitoring was conducted during the summers of 2014 and 2015 in two dissimilar plots of Mediterranean forest located in karst environments. The results show that the three monitored tree species (Abies alba Mill, Fagus sylvatica L, and Quercus ilex L.) use deep water resources present in the karst vadose zone (unsaturated zone) more intensively during drier years. Quercus ilex, a species well-adapted to water stress, which grows at the drier site, uses the deep water resource very early in the summer season. Conversely, the two other species exploit the deep water resource only during severe drought. These results open up new perspectives to a better understanding of ecohydrological equilibrium and to improved water balance modeling in karst forest settings.

Published
2019

36. TRISHNA: a high spatio-temporal resolution Indian-French spatial mission for TIR Earth observation

Author

Lagouarde, Jean-Pierre, Bhattacharya, B., Crebassol, P., Gamet, P., Murthy, C., Babu, S., Boulet, G., Briottet, X., Adlakha, D., Dadou, I., Dedieu, G., Gouhier, M., Hagolle, O., Irvine, Mark, Jacob, Frédéric, Kumar, K., Laignel, Benoît, Maisongrande, P., Mallick, K., Ottlé, C, Olioso, Albert, Pandya, M., Raju, P., Roujean, J.L., Shukla, M., Singh, S., Mishra, M., Nigam, R., A. Sobrino, J., Ramakrishnan, R., Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), Centre National d'Études Spatiales [Toulouse] (CNES), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ONERA / DOTA, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Morphodynamique Continentale et Côtière (M2C), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Luxembourg Institute of Science and Technology (LIST), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Facultat de Fisica [València] (UV), and Universitat de València (UV)

Subjects
remote sensing, water stress, cycle de l'eau, water management, télédétection, satellite, [SDE]Environmental Sciences, évapotranspiration, hydrology, Thermal infrared, TRISHNA, coastal water
Abstract

The climate change context, along with the increasing scarcity and deteriorating quality of the water resource leads to monitor different components of the water cycle. A particular attention has to be paid to some areas, particularly, agricultural lands which represent about 70% of the water consumption, and coastal areas subject to strong interactions with land. Thermal infrared (TIR) data from space are well adapted to these purposes, but the spatial variability of the surface requires that the complexity of both physical and biological processes involved must be assessed at a smaller scale which corresponds to the scale at which decisions concerning water management or implementation of policies devoted to the mitigation of climate change effect are effective. In addition, surface fluxes show short-time scale variability, which requires frequent observations to be done. The need of space borne systems combining both high spatial resolution and high revisit frequency in thermal infrared (TIR), which do not exist today, is now largely recognized by the scientific community and end-users, especially as SENTINEL and RESOURCESAT missions now provide high quality complementary data in the optical domain. To fill this gap a project, TRISHNA (Thermal infraRed Imaging Satellite for High-resolution Natural resource Assessment), is currently in the feasibility assessment phase, conducted by the French Space Agency (CNES) and the Indian Space Research Organization (ISRO).Two scientific objectives drive the mission specifications, (i) monitoring of ecosystem stress of the continental biosphere and of water use with applications to agriculture and hydrology, and (ii) monitoring of coastal and continental waters. Four complementary goals enlarge the community aggregated around the project: (iii) urban microclimates monitoring (urban heat islands, mitigation of heat waves effects…), (iv) applications to Solid Earth/geology (detection of thermal anomalies, volcanology, peat fires…), (v) cryosphere monitoring (glaciers, polar regions…), and (vi) applications to atmosphere (water content, clouds…). These objectives and the expected applications will first be briefly reviewed at the symposium.The main mission specifications will then be presented. Additionally to previous work conducted to consolidate the revisit and resolution specifications, emphasis will be put on recent studies made for inventorying factors possibly perturbing surface temperature measurements. Significant advances obtained for characterizing and modelling TIR directional anisotropy and thermal hot spot effects will first be described and their impact on the choice of orbit discussed. Similarly, an original study of the impact of atmospheric turbulence on the accuracy of LST -largely ignored by the community till date- will be presented; it reinforces the need of high revisit, and allows to estimate the errors on LST measurements. An overpass time in the early afternoon, around 13:00 LST has been carefully justified to cope with the different objectives of the mission and to optimize the accuracy on retrieved fluxes. A baseline spectral configuration of 4 TIR channels within the range 8 - 12 µm is under study, which makes possible implementing both split-window and temperature-emissivity separation algorithms. The main specifications of VNIR instrument embarked aboard the same platform are presented, and the need of 6 bands, 4 in the VNIR (blue, green, red, near infrared at 485, 555, 670, 860 nm) and 2 in the SWIR (1.38 and 1.61 µm) justified. To cope with the requirement of global coverage at Equator with a single satellite, a revisit of 3 days is selected. The nadir resolution of 50 m is binned at 1 km over open ocean. The instrumental studies undertaken will be briefly presented.The programmatic context of existing missions will be analyzed, only TRISHNA and the ESA LSTM mission providing high spatio-temporal capacities. The forthcoming phases of the CNES-ISRO TRISHNA project will finally be briefly mentioned, for a launch date foreseen at the 2024-2025 horizon.

Published
2019

37. Monitoring Vegetation Fraction Cover of French Mediterranean Forests for Evapotranspiration and Water Stress Mapping

Author

Olioso, Albert, Ollivier, Chloé, Martin, Nicolas, Simioni, Guillaume, Weiss, Marie, Guillevic, P.C., Marloie, Olivier, CARRIERE, Simon, Davi, Hendrik, Huard, Frederic, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des Forêts Méditerranéennes [Avignon] (URFM 629), Institut National de la Recherche Agronomique (INRA), UE Agroclim (UE AGROCLIM), APR CNES projet EVASPA V3.0, Ecologie des Forêts Méditerranéennes (URFM), and Agroclim (AGROCLIM)

Subjects
cycle de l'eau, couvert forestier, télédétection, [SDV]Life Sciences [q-bio], distribution spatio temporelle, forêt méditerranéenne, evapotranspiration, évapotranspiration, réserve en eau utile, donnée météorologique, modelling, remote sensing, zone méditerranéenne, weather data, modélisation
Abstract

Monitoring Vegetation Fraction Cover of French Mediterranean Forests for Evapotranspiration and Water Stress Mapping. ESA Living Planet Symposium 2019

Published
2019

38. Monitoring evapotranspiration from remote sensing data for groundwater resources evaluation

Author

Olioso, Albert, Allies, A., Ollivier, C., Boulet, G., Demarty, Jérôme, Weiss, M., Leblanc, M., Martin-StPaul, N., Marloie, O., Simioni, G., Cappelaere, Bernard, Huard, F., Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut Parisien de Chimie Moléculaire (IPCM), Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut des Molécules et Matériaux du Mans (IMMM), Le Mans Université (UM)-Centre National de la Recherche Scientifique (CNRS), UE Agroclim (UE AGROCLIM), Institut National de la Recherche Agronomique (INRA), Hibade, Monique, Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut de Chimie du CNRS (INC)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Le Mans Université (UM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), and Agroclim (AGROCLIM)

Subjects
[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

41. Atmospheric CO2 concentration impacts on maize yield performance under dry conditions: do crop model simulate it right ?

Author

Durand, Jean-Louis, Delusca, Kenel, Boote, Ken, Lizaso, Jon, Manderscheid, Remy, Weigel, Hans Johachim, Ruane, Alex C, Rosenzweig, Cynthia, Jones, Jim, Ahuja, Laj, Anapalli, Saseendran, Basso, Bruno, Baron, Christian, Bertuzzi, Patrick, Biernath, Christian, Deryng, Delphine, Ewert, Franck, Gaiser, Thomas, Gayler, Sebastian, Heinlein, Florian, Kersebaum, Kurt Christian, Kim, Soo-Hyung, Müller, Christoph, Nendel, Claas, Olioso, Albert, Priesack, Eckart, Villegas, Julian Ramirez, Ripoche, Dominique, Rötter, Reimund P., Seidel, Sabine I, Srivastava, Amit, Tao, Fulu, Timlin, Dennis, Twine, Tracy, Wang, Enli, Webber, Heidi, Zhao, Zhigan, and olioso, albert

Subjects
Multi-model ensemble, Grain number, évapotranspiration, approvisionnement eau, culture de mais, Stomatal conductance, Zea mays, donnée météorologique, modèle de culture, Atmospheric carbon dioxide concentration, dioxyde de carbone, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, estimation de rendement, weather data, concentration atmosphérique, carbonic anhydride, Water use
Published
2017

42. The Indian-French TRISHNA mission: Earth observation in the thermal infrared with high spatio-temporal resolution and its application to agriculture and hydrology

Author

Lagouarde, Jean-Pierre, Bhattacharya, Bimal Kumar, Crebassol, Philippe, Gamet, Philippe, Babu, Sanjay S., Boulet, Gilles, Briottet, Xavier, Buddhiraju, Krishna Mohan, Dadou, Isabelle, Dedieu, Gérard, Gouhier, M., Hagolle, Olivier, Irvine, Mark, Jacob, Frédéric, Kumar, Anil, Kumar, K.K., Laignel, Benoît, Mallick, Kaniska, Murthy, Chidananda S., Olioso, Albert, Ottle, Catherine, Pandya, Mehul R., Raju, P.V., Roujean, Jean-Louis, Sekhar, Muddu, Shukla, Munn Vinayak, Singh, Sultan K., Sobrino, Jose, Ramakrishnan, Rajagopalan, Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), Indian Space Research Organisation (ISRO), Centre National d'Études Spatiales [Toulouse] (CNES), Space Physics Laboratory, Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ONERA / DOTA, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, Space technology cell (ISRO, ITT(B)), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Observatoire de Physique du Globe de Clermont-Ferrand (OPGC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), School of Medicine and Health Sciences [George Washigton University] (SMHS), The George Washington University (GW), Morphodynamique Continentale et Côtière (M2C), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Luxembourg Institute of Science and Technology (LIST), National Remote Sensing Centre [Hyderabad] (NRSC), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Indian Institute of Science, Foundation for Innovation and Technology Transfer (FITT), Indian Institute of Technology Delhi (IIT Delhi), Global Change Unit, University of Valencia, and Universitat de València (UV)

Subjects
THERMAL, INFRAROUGE, [SDE.IE]Environmental Sciences/Environmental Engineering, CLIMATE CHANGE, WATER MANAGEMENT, [SDE]Environmental Sciences, INFRARED, WATER STRESS, MISSION SPATIALE, ComputingMilieux_MISCELLANEOUS, SATELLITE
Abstract

International audience

Published
2018

46. Simulation of land surface emissivity spectra with the sailthermique model. Evaluation and application to emissivity and surface temperature extraction from multispectral data

Author

Olioso, Albert, Weiss, Marie, Jacob, Frédéric, Lesaignoux, Audrey, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)

Subjects
[SDV]Life Sciences [q-bio], [SDE]Environmental Sciences
Abstract

International audience; The SAIL model was adapted in order to simulate spectral emissivities in the thermal infrared and compared to data extracted from the literature or from experimental works. The SAIL model was originally developed by Verhoef (1984) for simulating land surface directional spectral reflectances in the solar domain. It was adapted for simulating radiative transfers in the thermal infrared, and particularly for simulating land surface emissivity (Olioso 1995). This version of the model was called SAIL-Thermique. It required leaf area index, leaf inclination distribution function, soil and vegetation optical properties as inputs. SAIL-Thermique was evaluated against data acquired over several types of land surfaces including natural and agricultural vegetation at different levels of growth and water status. Compiled land surface emissivities for the 8-14 μm spectral band ranged between 0.92 and 0.99. Simulated 8-14 μm emissivities were favorably compared to the measurements with a root mean square difference around 0.006. When considering only herbaceous species, the root mean square difference was 0.004. In order to improve the simulation of emissivity, we updated SAILThermique on the basis of the SAIL-2M model that was developed by Weiss et al. (2001) to include the impact of the different types of vegetation organs, such as leaves, stems, ears…, on spectral reflectances. Simulations for canopies including woody plants and drying plants were performed showing that canopy emissivity can decrease significantly with the amount of woody surfaces or dry material. In a second step the model was used to assess different methodologies, including the TES algorithm and the NDVI-emissivity relationship, classically used for deriving land surface emissivity. We showed for example that the inclusion of simulated land surface emissivity spectra for surfaces including vegetation canopies had a significant impact on temperature and emissivity retrieval with the TES method. Higher emissivity estimates (by up to 0.01) and lower surface temperature (by up to 0.4 K) were obtained in the case of the ASTER sensor. Eventually, we propose a new spectral library that includes land surface emissivity spectra accounting for cavity effect as simulated by SAIL-Thermique and that can be used for training new algorithms for extracting land surface emissivity.

Published
2017

47. Uncertainties in simulated evapotranspiration from land surface models over a 14-year Mediterranean crop succession

Author

Garrigues, Sébastien, Verhoef, A., Vidale, P.L., Sarojini, B, Blyth, E., Olioso, Albert, Boone, A., Albergel, Clément, Decharme, B., Calvet, J.-C., Carrer, Dominique, Moulin, Sophie, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Geography and Environmental Science, University of Reading (UOR), Department of Meteorology [Reading], Centre national de recherches météorologiques (CNRM), Météo France-Centre National de la Recherche Scientifique (CNRS), Météo France, Centre National de la Recherche Scientifique (CNRS), Centre for Ecology and Hydrology, Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), and Météo France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Modèle de bilan énergétique, modèle de transfert hydrique, evapotranspiration, bilan hydraulique, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, plante méditerranéenne, modèle de surface
Abstract

Uncertainties in simulated evapotranspiration from land surface models over a 14-year Mediterranean crop succession. 5. Ileaps Science Conference

Published
2017

48. Estimating evapotranspiration from remote sensing: the case of Sahelian Africa

Author

Allies, Aubin, Demarty, Jerome, Olioso, Albert, Issoufou, Hassane Bil-Assanou, Maïnassara, Ibrahim, Chazarin, Jean-Philippe, Oï, Monique, Velluet, Cécile, Hydrosciences Montpellier (HSM), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biology Department (Science Faculty), Universidade do Porto, Institut de Recherche pour le Développement (IRD [France-Ouest]), IAHS., Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Universidade do Porto [Porto], Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), and Universidade do Porto = University of Porto

Subjects
remote sensing, MODIS, cycle de l'eau, resolution spatiale optimale, Sahel, [SDV]Life Sciences [q-bio], télédétection, évapotranspiration, water cycle, Evapotranspiration, EVASPA, zone sahélienne
Abstract

Allies A., J. Demarty, A. Olioso, H. B.-A. Issoufou, I. Maïnassara, J.-P. Chazarin, M. Oï, C. Velluet, M. Bahir, B. Cappelaere, 2017. Estimating evapotranspiration from remote sensing: the case of Sahelian Africa. Abstract IAHS2017-164. IAHS 2017 Scientific Assembly, 10 – 14 July 2017, Port Elizabeth, South Africa. [Présentation orale par A. Allies] http://meetingorganizer.copernicus.org/IAHS2017/IAHS2017-164.pdf Allies A., J. Demarty, A. Olioso, H. B.-A. Issoufou, I. Maïnassara, J.-P. Chazarin, M. Oï, C. Velluet, M. Bahir, B. Cappelaere, 2017. Estimating evapotranspiration from remote sensing: the case of Sahelian Africa. Abstract IAHS2017-164. IAHS 2017 Scientific Assembly, 10 – 14 July 2017, Port Elizabeth, South Africa. [Présentation orale par A. Allies] http://meetingorganizer.copernicus.org/IAHS2017/IAHS2017-164.pdfAllies A., J. Demarty, A. Olioso, H. B.-A. Issoufou, I. Maïnassara, J.-P. Chazarin, M. Oï, C. Velluet, M. Bahir, B. Cappelaere, 2017. Estimating evapotranspiration from remote sensing: the case of Sahelian Africa. Abstract IAHS2017-164. IAHS 2017 Scientific Assembly, 10 – 14 July 2017, Port Elizabeth, South Africa. [Présentation orale par A. Allies]http://meetingorganizer.copernicus.org/IAHS2017/IAHS2017-164.pdf; Estimating evapotranspiration from remote sensing: the case of Sahelian Africa. . IAHS 2017 Scientific Assembly

Published
2017

49. Monitoring evapotranspiration from remote sensing data for groundwater resources evaluation

Author

Olioso, Albert, Allies, Aubin, Ollivier, Chloé, Velluet, Cécile, Leblanc, Marc, Demarty, Jérôme, Boulet, Gérard, Bahir, Malik, GALLEGO-ELVIRA, Belen, Mira, M., Marloie, Olivier, Martin-StPaul, Nicolas, Tweed, S., Cappelaere, B., Huard, Frederic, Chauvelon, P., Boutron, O., Chalikakis, Konstantinos, Garrigues, Sébastien, Mazzilli, Naomi, Weiss, Marie, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut Parisien de Chimie Moléculaire (IPCM), Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre Hospitalier Bretagne Atlantique, Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Magmas et Volcans (LMV), Institut national des sciences de l'Univers (INSU - CNRS)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut de Recherche pour le Développement et la société-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS)-Observatoire de Physique du Globe de Clermont-Ferrand (OPGC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), UE Agroclim (UE AGROCLIM), Institut National de la Recherche Agronomique (INRA), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche Dupuy de Lôme (IRDL), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Brest (UBO)-Université de Bretagne Sud (UBS), Institut de recherches sur la catalyse et l'environnement de Lyon (IRCELYON), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre hospitalier Bretagne Atlantique (Morbihan) (CHBA), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement et la société-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Physique du Globe de Clermont-Ferrand (OPGC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Université Jean Monnet [Saint-Étienne] (UJM), Agroclim (AGROCLIM), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Météo France-Centre National de la Recherche Scientifique (CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Météo France, Institut national des sciences de l'Univers (INSU - CNRS)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut de Recherche pour le Développement et la société-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Observatoire de Physique du Globe de Clermont-Ferrand (OPGC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Ecologie des Forêts Méditerranéennes (URFM), Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Tour du Valat, Research Institute for the conservation of Mediterranean Wetlands, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; Evapotranspiration (ET) is a fundamental variable of the hydrological cycle which plays a major role on surface water balance and surface energy balance. At local scale ET can be estimated from detailed ground observations (eddy covariance towers), but these measurements are only representative of very limited homogeneous area. When regional information is required, e.g. for monitoring ground water resources, the flux tower measurements cannot be used directly and estimation of ET often relies on estimation from meteorological data through potential evapotranspiration formulas. At regional scale remote sensing provides spatially distributed information for mapping and monitoring ET, but this information is still rarely used for ground water assessment. Indeed, remote sensing estimation of ET suffers several drawbacks. In particular, remote sensing information by itself cannot provide a continuous monitoring of ET because of the presence of clouds and the revisit period of the sensor. Another difficulty originates in the lack of exhaustive evaluation of remote sensed ET since accurate ground measurements are scarce and representative of a limited number of homogeneous areas. This has also for consequence that a large number of methodologies to derive ET were developed with no real possibility of a consistent evaluation. We have developed the EVASPA (EVapotranspiration Assessment from SPAce) tool to monitor ET on a daily basis, together with an evaluation of the associated uncertainties, from remote sensing data in the thermal and the solar domains (Gallego Elvira et al. 2013). This tool combines the estimation of ET from various models and various sources of data, including MODIS sensors, LANDSAT-borne sensors and meteorological information. EVASPA was applied to estimate evapotranspiration over several areas in the products such as MOD16 or analysis of atmospheric-hydrological modeling such as the operational Safran-Isba-Modcou application). The results highlight the potential use of the retrieved ET for calibrating groundwater models (e.g. for estimating aquifer parameters…) or evaluating model inputs (e.g. determination of effective rainfall, identification of irrigated areas…). We also evaluated the impact of the uncertainties in the estimation of ET in the monitoring of ground water. We showed that the main sources of ET uncertainty were related to the uncertainties in incident radiations and surface temperature together with the diversity of ET models. When forced in ground water models, the uncertainties in ET had an impact almost equivalent to the impact of uncertainties in rain inputs. South of France to help in monitoring the water budget of different hydrosystems: superficial aquifer in the Rhône river delta (Camargue), karstic aquifer of the Fontaine de Vaucluse spring system and alluvial aquifer in Limagne with increasing water withdrawing for irrigation. The method was first evaluated against flux tower measurements of evapotranspiration (RMSE between 0.5 and 1 mm/day depending on the ecosystems). When integrated over watershed, ET retrievals were also compared to indirect estimates of evapotranspiration from either water balance and stream flow monitoring or other modelling approaches for time period of more than a decade (these include remote sensing operational

Published
2017

50. Examining feedback effects on remote sensing-based turbulent flux estimates

Author

Timmerman, Wim, Olioso, Albert, Albertson, John D., ProdInra, Migration, Twente University of Technology, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Cornell University [New York]

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences
Abstract

International audience; Generally, remote sensing-based Land Surface Models (LSM) are driven by spatially heterogeneous surface inputs and spatially uniform inputs from the lower Atmospheric Boundary Layer (ABL). Since nearsurface ABL properties are far from uniform the inclusion of their spatial variability in remote sensing-based LSMs might be expected to improve the resulting turbulent flux estimates. Therefore, for a little more than a decade now, research has been carried out to investigate whether and how incorporation of lower ABL variability in remote sensing data driven flux schemes could improve turbulent flux estimates. In this contribution we examine the magnitude of these atmospheric property variations and their corresponding feedback effects on turbulent flux estimates. This has been done by coupling a boundary layer simulator, by means of a Large-Eddy Simulation (LES) model, to a remote sensing-based Land Surface Model (LSM), where the coupling takes place in the lowest nodes of the LES model. We first illustrate the near-surface performance of recent discretization and sub-grid-scale parameterizations in the coupled LES-LSM framework by implementations over synthetic surfaces. We then quantify the consequences of the relevant feedback effects on the land surface flux estimates through numeric simulations. The effect of step-changes in heterogeneous surface states and conditions, that are typical for remote sensing-based turbulent flux models, on the atmospheric states and their potential feedback is shown. Analysis of these individual coupling factors revealed that the dominant feedback effect is the horizontal wind speed. Concluded is with an analysis of the combined feedback effects over natural surfaces using data from several large-scale field campaigns.

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results