29 results on '"Barry, Abdoul"'
Search Results
2. Groundwater Bodies Subdivision in Corsica: A Critical Approach Based on Multivariate Water Quality Criteria Using Large Database
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Lazar, Hajar, primary, Ayach, Meryem, additional, Barry, Abdoul-Azize, additional, Mohsine, Ismail, additional, Touiouine, Abdessamad, additional, Huneau, Frédéric, additional, Mori, Christophe, additional, Garel, Émilie, additional, Kacimi, Ilias, additional, Valles, Vincent, additional, and Barbiero, Laurent, additional
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- 2023
- Full Text
- View/download PDF
3. Differentiation of Sahelian aquifers from chemical and isotopic composition using linear statistics and machine learning.
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Barry, Abdoul-Azize, Yameogo, Suzanne, Touzani, Meryem, Nakolendoussé, Samuel, Jabrane, Meryem, Touiouine, Abdessamad, Mohsine, Ismail, Barbiero, Laurent, and Valles, Vincent
- Subjects
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MACHINE learning , *LINEAR statistical models , *PRINCIPAL components analysis - Abstract
In Sahelian Africa, the characteristics of boreholes are often lost and, when several aquifers are present on the same site, it is difficult to know which one is being tapped or is likely to be contaminated, which hinders good management of the resource. In this study conducted on 153 wells distributed in the four major aquifers of Burkina Faso, the variation in chemical composition within the aquifers is high compared to that between the aquifers. In spite of this, treatment by linear statistical analysis and/or machine learning allows the discrimination of the aquifers with a success rate of about 80%. The introduction of water isotopes as an additional parameter and a dimensional reduction by principal component analysis allowed a discrimination rate of 87.6% to be achieved. The pathway of water from sedimentary to basement aquifers explains some of the confusion. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
4. Differentiation of Multi-Parametric Groups of Groundwater Bodies through Discriminant Analysis and Machine Learning.
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Mohsine, Ismail, Kacimi, Ilias, Valles, Vincent, Leblanc, Marc, El Mahrad, Badr, Dassonville, Fabrice, Kassou, Nadia, Bouramtane, Tarik, Abraham, Shiny, Touiouine, Abdessamad, Jabrane, Meryem, Touzani, Meryem, Barry, Abdoul Azize, Yameogo, Suzanne, and Barbiero, Laurent
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DISCRIMINANT analysis ,FISHER discriminant analysis ,MACHINE learning ,GROUNDWATER ,GROUNDWATER quality ,GROUNDWATER monitoring - Abstract
In order to facilitate the monitoring of groundwater quality in France, the groundwater bodies (GWB) in the Provence-Alpes-Côte d'Azur region have been grouped into 11 homogeneous clusters on the basis of their physico-chemical and bacteriological characteristics. This study aims to test the legitimacy of this grouping by predicting whether water samples belong to a given sampling point, GWB or group of GWBs. To this end, 8673 observations and 18 parameters were extracted from the Size-Eaux database, and this dataset was processed using discriminant analysis and various machine learning algorithms. The results indicate an accuracy of 67% using linear discriminant analysis and 69 to 83% using ML algorithms, while quadratic discriminant analysis underperforms in comparison, yielding a less accurate prediction of 59%. The importance of each parameter in the prediction was assessed using an approach combining recursive feature elimination (RFE) techniques and random forest feature importance (RFFI). Major ions show high spatial range and play the main role in discrimination, while trace elements and bacteriological parameters of high local and/or temporal variability only play a minor role. The disparity of the results according to the characteristics of the GWB groups (geography, altitude, lithology, etc.) is discussed. Validating the grouping of GWBs will enable monitoring and surveillance strategies to be redirected on the basis of fewer, homogeneous hydrogeological units, in order to optimize sustainable management of the resource by the health agencies. [ABSTRACT FROM AUTHOR]
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- 2023
- Full Text
- View/download PDF
5. Progressive Multifocal Leukoencephalopathy With J.C in a Tropical Environment: Study of Six (6) Observations at the University Hospital of Conakry.
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Diallo, Mohamed Tafsir, primary, Toure, Mohamed Lamine, additional, DIALLO, Souleymane Mbara, additional, Carlos, Guelngar Othon, additional, Barry, Souleymane Djigué, additional, Camara, Namory, additional, Sakadi, Foksouna, additional, Loramou, Christ Matho, additional, Diallo, Bademba, additional, Sakho, Aminata, additional, Baldé, Thierno Hamidou, additional, Diallo, Mariama Boubacar, additional, Koné, Adama, additional, Milman, Kadji Juste, additional, Madandi, Hinima, additional, Lamah, Eugen, additional, Barry, Abdoul Karim Telico, additional, Diallo, Mamadou Hady, additional, Cissé, Fodé Abass, additional, and Cissé, Amara, additional
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- 2023
- Full Text
- View/download PDF
6. Surface Formations Salinity Survey in an Estuarine Area of Northern Morocco, by Crossing Satellite Imagery, Discriminant Analysis, and Machine Learning
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El Jarjini, Youssouf, primary, Morarech, Moad, additional, Valles, Vincent, additional, Touiouine, Abdessamad, additional, Touzani, Meryem, additional, Arjdal, Youssef, additional, Barry, Abdoul Azize, additional, and Barbiero, Laurent, additional
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- 2023
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7. Are Minimum Wages and Payroll Taxes a Constraint to the Creation of Formal Jobs in Morocco?
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Angel-Urdinola, Diego F., primary, Barry, Abdoul Gadiry, additional, and Guennouni, Jamal, additional
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- 2016
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8. Corneal Trauma: An Epidemiological, Clinical and Therapeutic Study in CADES/O Donka
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Balde, Abdoul Karim, primary, Diane, Sonassa, additional, Aziz, Sidibe Kader, additional, Barry, Abdoul Karim, additional, Magassouba, Abdoulaye, additional, Sovogui, Dantouma Maxim, additional, and Bah, Thierno Madiou, additional
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- 2022
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9. Comparison of Feature Selection Techniques for Power Amplifier Behavioral Modeling and Digital Predistortion Linearization
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Barry, Abdoul, Li, Wantao, Becerra González, Juan Antonio, Gilabert, Pere L, Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones, Ministerio de Ciencia e Innovación (MICIN). España, European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER), Agencia Estatal de Investigación. España, Generalitat de Catalunya, and European Commission. Fondo Social Europeo (FSO)
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Digital predistortion linearization ,Behavioral modeling ,Power amplifier ,Dimensionality reduction ,Feature selection techniques - Abstract
The power amplifier (PA) is the most critical subsystem in terms of linearity and power efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the PA operates at levels close to saturation, where the device presents its highest power efficiency. Since the DPD is generally based on Volterra series models, its number of coefficients is high, producing ill- conditioned and over-fitted estimations. Recently, a plethora of techniques have been independently proposed for reducing their dimensionality. This paper is devoted to presenting a fair benchmark of the most relevant order reduction techniques present in the literature categorized by the following: (i) greedy pursuits, including Orthogonal Matching Pursuit (OMP), Doubly Orthogonal Matching Pursuit (DOMP), Subspace Pursuit (SP) and Random Forest (RF); (ii) regularization techniques, including ridge regression and least absolute shrinkage and selection operator (LASSO); (iii) heuristic local search methods, including hill climbing (HC) and dynamic model sizing (DMS); and (iv) global probabilistic optimization algorithms, including simulated annealing (SA), genetic algorithms (GA) and adaptive Lipschitz optimization (adaLIPO). The comparison is carried out with modeling and linearization performance and in terms of runtime. The results show that greedy pursuits, particularly the DOMP, provide the best trade-off between execution time and linearization robustness against dimensionality reduction. Ministerio de Ciencia, Innovación y Universidades TEC2017-83343-C4-2-R Unión Europea TEC2017-83343-C4-2-R Ministerio de Ciencia e Innovación PID2020-113832RB-C21 Generalitat de Catalunya 2017-SGR-813 Unión Europea 2017-SGR-813 Generalitat de Catalunya 2021-FI-B-137 Unión Europea 2021-FI-B-137
- Published
- 2021
10. Female Labor Participation in the Arab World: Some Evidence from Panel Data in Morocco
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Verme, Paolo, primary, Barry, Abdoul Gadiry, additional, and Guennouni, Jamal, additional
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- 2014
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11. Labor Mobility, Economic Shocks, and Jobless Growth: Evidence from Panel Data in Morocco
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Verme, Paolo, primary, Barry, Abdoul Gadiry, additional, Guennouni, Jamal, additional, and Taamouti, Mohamed, additional
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- 2014
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- View/download PDF
12. Machine learning techniques applied to dimensionality reduction for digital predistortion linearizers
- Author
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Barry, Abdoul Aziz, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, and Gilabert Pinal, Pere Lluís
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Artificial satellites ,Satèl·lits artificials -- Informàtica ,Digital predistortion linearization ,Machine learning ,Aeronàutica i espai::Astronàutica::Enginyeria aeroespacial [Àrees temàtiques de la UPC] - Abstract
Over the past half century, the improvements in spacecraft technology have been primarily in the areas of microelectronics for on-board processing, high frequency electronic devices, and integrated circuits for communications and navigation, solar cells and batteries for on-board power generation and storage among many others. Despite the fact that energy-storage technologies have advanced dramatically over the past years, the power consumption of on-board communications, sensors and digital signal processing systems is of paramount importance in battery or solar powered systems such as small satellites, HAPs or UAVs (drones). There is multiple applications that involves the use of these systems, e.g., Earth observation applications, surveillance, broadcast communications, scientific research, etc. In wireless communications, the power amplifier is a critical subsystem in the transmitter chain. Not only because it is one of the most power hungry devices that accounts for most of the direct current power consumption, but also because it is the main source of nonlinear distortion in the transmitter. Amplitude and phase modulated communications signals presenting high peak-to-average power ratio have a negative impact in the transmitter's power efficiency, because the PA has to be operated at high power back-off levels to avoid introducing nonlinear distortion. Digital predistortion (DPD) linearization is the most common and spread solution to cope with power amplifiers (PA) inherent linearity versus efficiency trade-off. When considering wide bandwidth signals, such as Doherty PAs, envelope tracking PAs or outphasing transmitters, the number of parameters required in the DPD model to compensate for both nonlinearities and memory effects can be very high. This has a negative impact in the DPD ceofficients extraction, because increases the computational complexity and drives to over-fitting and uncertainty. However, by applying dimensionality reduction techniques we can both avoid the numerical ill-conditioning of the estimation and reduce the number of coefficients of the DPD function, which ultimately impacts the baseband processing computational complexity and power consumption. In this Project, several dimensionality reduction techniques will be described and compared in terms of model order reduction capabilities and evaluation performance. In particular, some of the machine learning techniques for dimensionality reduction will be studied.
- Published
- 2021
13. Comparison of Feature Selection Techniques for Power Amplifier Behavioral Modeling and Digital Predistortion Linearization
- Author
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Barry, Abdoul, primary, Li, Wantao, additional, Becerra, Juan A., additional, and Gilabert, Pere L., additional
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- 2021
- Full Text
- View/download PDF
14. Comparison of Feature Selection Techniques for Power Amplifier Behavioral Modeling and Digital Predistortion Linearization
- Author
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Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones, Ministerio de Ciencia e Innovación (MICIN). España, European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER), Agencia Estatal de Investigación. España, Generalitat de Catalunya, European Commission. Fondo Social Europeo (FSO), Barry, Abdoul, Li, Wantao, Becerra González, Juan Antonio, Gilabert, Pere L, Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones, Ministerio de Ciencia e Innovación (MICIN). España, European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER), Agencia Estatal de Investigación. España, Generalitat de Catalunya, European Commission. Fondo Social Europeo (FSO), Barry, Abdoul, Li, Wantao, Becerra González, Juan Antonio, and Gilabert, Pere L
- Abstract
The power amplifier (PA) is the most critical subsystem in terms of linearity and power efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the PA operates at levels close to saturation, where the device presents its highest power efficiency. Since the DPD is generally based on Volterra series models, its number of coefficients is high, producing ill- conditioned and over-fitted estimations. Recently, a plethora of techniques have been independently proposed for reducing their dimensionality. This paper is devoted to presenting a fair benchmark of the most relevant order reduction techniques present in the literature categorized by the following: (i) greedy pursuits, including Orthogonal Matching Pursuit (OMP), Doubly Orthogonal Matching Pursuit (DOMP), Subspace Pursuit (SP) and Random Forest (RF); (ii) regularization techniques, including ridge regression and least absolute shrinkage and selection operator (LASSO); (iii) heuristic local search methods, including hill climbing (HC) and dynamic model sizing (DMS); and (iv) global probabilistic optimization algorithms, including simulated annealing (SA), genetic algorithms (GA) and adaptive Lipschitz optimization (adaLIPO). The comparison is carried out with modeling and linearization performance and in terms of runtime. The results show that greedy pursuits, particularly the DOMP, provide the best trade-off between execution time and linearization robustness against dimensionality reduction.
- Published
- 2021
15. Comparison of feature selection techniques for power amplifier behavioral modeling and digital predistortion linearization
- Author
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. CSC - Components and Systems for Communications Research Group, Barry, Abdoul, Li, Wantao, Becerra González, Juan Antonio, Gilabert Pinal, Pere Lluís, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. CSC - Components and Systems for Communications Research Group, Barry, Abdoul, Li, Wantao, Becerra González, Juan Antonio, and Gilabert Pinal, Pere Lluís
- Abstract
The power amplifier (PA) is the most critical subsystem in terms of linearity and power efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the PA operates at levels close to saturation, where the device presents its highest power efficiency. Since the DPD is generally based on Volterra series models, its number of coefficients is high, producing ill-conditioned and over-fitted estimations. Recently, a plethora of techniques have been independently proposed for reducing their dimensionality. This paper is devoted to presenting a fair benchmark of the most relevant order reduction techniques present in the literature categorized by the following: (i) greedy pursuits, including Orthogonal Matching Pursuit (OMP), Doubly Orthogonal Matching Pursuit (DOMP), Subspace Pursuit (SP) and Random Forest (RF); (ii) regularization techniques, including ridge regression and least absolute shrinkage and selection operator (LASSO); (iii) heuristic local search methods, including hill climbing (HC) and dynamic model sizing (DMS); and (iv) global probabilistic optimization algorithms, including simulated annealing (SA), genetic algorithms (GA) and adaptive Lipschitz optimization (adaLIPO). The comparison is carried out with modeling and linearization performance and in terms of runtime. The results show that greedy pursuits, particularly the DOMP, provide the best trade-off between execution time and linearization robustness against dimensionality reduction., This work was supported in part by the Spanish Government (Ministerio de Ciencia, Inno- vación y Universidades) and Fondo Europeo de Desarrollo Regional (FEDER) under Grants TEC2017- 83343-C4-2-R and PID2020-113832RB-C21 and in part by the Government of Catalonia and the European Social Fund under Grants 2017-SGR-813 and 2021-FI-B-137., Peer Reviewed, Postprint (published version)
- Published
- 2021
16. Machine learning techniques applied to dimensionality reduction for digital predistortion linearizers
- Author
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Gilabert Pinal, Pere Lluís, Barry, Abdoul Aziz, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Gilabert Pinal, Pere Lluís, and Barry, Abdoul Aziz
- Abstract
Over the past half century, the improvements in spacecraft technology have been primarily in the areas of microelectronics for on-board processing, high frequency electronic devices, and integrated circuits for communications and navigation, solar cells and batteries for on-board power generation and storage among many others. Despite the fact that energy-storage technologies have advanced dramatically over the past years, the power consumption of on-board communications, sensors and digital signal processing systems is of paramount importance in battery or solar powered systems such as small satellites, HAPs or UAVs (drones). There is multiple applications that involves the use of these systems, e.g., Earth observation applications, surveillance, broadcast communications, scientific research, etc. In wireless communications, the power amplifier is a critical subsystem in the transmitter chain. Not only because it is one of the most power hungry devices that accounts for most of the direct current power consumption, but also because it is the main source of nonlinear distortion in the transmitter. Amplitude and phase modulated communications signals presenting high peak-to-average power ratio have a negative impact in the transmitter's power efficiency, because the PA has to be operated at high power back-off levels to avoid introducing nonlinear distortion. Digital predistortion (DPD) linearization is the most common and spread solution to cope with power amplifiers (PA) inherent linearity versus efficiency trade-off. When considering wide bandwidth signals, such as Doherty PAs, envelope tracking PAs or outphasing transmitters, the number of parameters required in the DPD model to compensate for both nonlinearities and memory effects can be very high. This has a negative impact in the DPD ceofficients extraction, because increases the computational complexity and drives to over-fitting and uncertainty. However, by applying dimensionality reduction techniques we can
- Published
- 2021
17. Mapping Contaminant Plume at a Landfill in a Crystalline Basement Terrain in Ouagadougou, Burkina Faso, Using Self-Potential Geophysical Technique
- Author
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Barry, Abdoul Azize, primary, Yameogo, Suzanne, additional, Ayach, Meryem, additional, Jabrane, Meryem, additional, Tiouiouine, Abdessamad, additional, Nakolendousse, Samuel, additional, Lazar, Hajar, additional, Filki, Ahlam, additional, Touzani, Meryem, additional, and Mohsine, Ismail, additional
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- 2021
- Full Text
- View/download PDF
18. Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3
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Dunn, Robert J. H., primary, Alexander, Lisa V., additional, Donat, Markus G., additional, Zhang, Xuebin, additional, Bador, Margot, additional, Herold, Nicholas, additional, Lippmann, Tanya, additional, Allan, Rob, additional, Aguilar, Enric, additional, Barry, Abdoul Aziz, additional, Brunet, Manola, additional, Caesar, John, additional, Chagnaud, Guillaume, additional, Cheng, Vincent, additional, Cinco, Thelma, additional, Durre, Imke, additional, Guzman, Rosaline, additional, Htay, Tin Mar, additional, Wan Ibadullah, Wan Maisarah, additional, Bin Ibrahim, Muhammad Khairul Izzat, additional, Khoshkam, Mahbobeh, additional, Kruger, Andries, additional, Kubota, Hisayuki, additional, Leng, Tan Wee, additional, Lim, Gerald, additional, Li‐Sha, Lim, additional, Marengo, Jose, additional, Mbatha, Sifiso, additional, McGree, Simon, additional, Menne, Matthew, additional, Milagros Skansi, Maria, additional, Ngwenya, Sandile, additional, Nkrumah, Francis, additional, Oonariya, Chalump, additional, Pabon‐Caicedo, Jose Daniel, additional, Panthou, Gérémy, additional, Pham, Cham, additional, Rahimzadeh, Fatemeh, additional, Ramos, Andrea, additional, Salgado, Ernesto, additional, Salinger, Jim, additional, Sané, Youssouph, additional, Sopaheluwakan, Ardhasena, additional, Srivastava, Arvind, additional, Sun, Ying, additional, Timbal, Bertrand, additional, Trachow, Nichanun, additional, Trewin, Blair, additional, Schrier, Gerard, additional, Vazquez‐Aguirre, Jorge, additional, Vasquez, Ricardo, additional, Villarroel, Claudia, additional, Vincent, Lucie, additional, Vischel, Theo, additional, Vose, Russ, additional, and Bin Hj Yussof, Mohd Noor'Arifin, additional
- Published
- 2020
- Full Text
- View/download PDF
19. Development of an updated global land in situ‐based data set of temperature and precipitation extremes: HadEX3
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Barcelona Supercomputing Center, Dunn, Rober J. H., Alexander, Lisa V., Donat, Markus, Zhang, Xuebin, Bador, Margot, Herold, Nicholas, Lippmann, Tanya, Allan, Rob, Aguilar, Enric, Barry, Abdoul Aziz, Brunet, Manola, Caesar, John, Chagnaud, Guillaume, Cheng, Vincent, Cinco, Thelma, Durre, Imke, Guzman, Rosaline, de, Htay, Tin Mar, Wan Ibadullah, Wan Maisarah, Ibrahim, Muhammad Khairul Izzat Bin, Khoshkam, Mahbobeh, Kruger, Andries, Kubota, Hisayuki, Leng, Tan Wee, Lim, Gerald, Li‐Sha, Lim, Marengo, Jose, Mbatha, Sifiso, McGree, Simon, Menne, Matthew, Skansi, Maria de los Milagros, Ngwenya, Sandile, Nkrumah, Francis, Oonariya, Chalump, Pabon‐Caicedo, Jose Daniel, Panthou, Gérémy, Pham, Cham, Rahimzadeh, Fatemeh, Ramos, Andrea, Salgado, Ernesto, Salinger, Jim, Sané, Youssouph, Sopaheluwakan, Ardhasena, Srivastava, Arvind, Sun, Ying, Timbal, Bertrand, Trachow, Nichanun, Trewin, Blair, Schrier, Gerard, van der, Vazquez‐Aguirre, Jorge, Vasquez, Ricardo, Villarroel, Claudia, Vincent, Lucie, Vischel, Theo, Vose, Russ, Yussof, Mohd Noor'Arifin Bin Hj, Barcelona Supercomputing Center, Dunn, Rober J. H., Alexander, Lisa V., Donat, Markus, Zhang, Xuebin, Bador, Margot, Herold, Nicholas, Lippmann, Tanya, Allan, Rob, Aguilar, Enric, Barry, Abdoul Aziz, Brunet, Manola, Caesar, John, Chagnaud, Guillaume, Cheng, Vincent, Cinco, Thelma, Durre, Imke, Guzman, Rosaline, de, Htay, Tin Mar, Wan Ibadullah, Wan Maisarah, Ibrahim, Muhammad Khairul Izzat Bin, Khoshkam, Mahbobeh, Kruger, Andries, Kubota, Hisayuki, Leng, Tan Wee, Lim, Gerald, Li‐Sha, Lim, Marengo, Jose, Mbatha, Sifiso, McGree, Simon, Menne, Matthew, Skansi, Maria de los Milagros, Ngwenya, Sandile, Nkrumah, Francis, Oonariya, Chalump, Pabon‐Caicedo, Jose Daniel, Panthou, Gérémy, Pham, Cham, Rahimzadeh, Fatemeh, Ramos, Andrea, Salgado, Ernesto, Salinger, Jim, Sané, Youssouph, Sopaheluwakan, Ardhasena, Srivastava, Arvind, Sun, Ying, Timbal, Bertrand, Trachow, Nichanun, Trewin, Blair, Schrier, Gerard, van der, Vazquez‐Aguirre, Jorge, Vasquez, Ricardo, Villarroel, Claudia, Vincent, Lucie, Vischel, Theo, Vose, Russ, and Yussof, Mohd Noor'Arifin Bin Hj
- Abstract
We present the second update to a data set of gridded land‐based temperature and precipitation extremes indices: HadEX3. This consists of 17 temperature and 12 precipitation indices derived from daily, in situ observations and recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). These indices have been calculated at around 7,000 locations for temperature and 17,000 for precipitation. The annual (and monthly) indices have been interpolated on a 1.875°×1.25° longitude‐latitude grid, covering 1901–2018. We show changes in these indices by examining ”global”‐average time series in comparison with previous observational data sets and also estimating the uncertainty resulting from the nonuniform distribution of meteorological stations. Both the short and long time scale behavior of HadEX3 agrees well with existing products. Changes in the temperature indices are widespread and consistent with global‐scale warming. The extremes related to daily minimum temperatures are changing faster than the maximum. Spatial changes in the linear trends of precipitation indices over 1950–2018 are less spatially coherent than those for temperature indices. Globally, there are more heavy precipitation events that are also more intense and contribute a greater fraction to the total. Some of the indices use a reference period for calculating exceedance thresholds. We present a comparison between using 1961–1990 and 1981–2010. The differences between the time series of the temperature indices observed over longer time scales are shown to be the result of the interaction of the reference period with a warming climate. The gridded netCDF files and, where possible, underlying station indices are available from www.metoffice.gov.uk/hadobs/hadex3 and www.climdex.org., Robert Dunn was supported by the Met Office Hadley Centre Climate Programme funded by BEIS and Defra (GA01101) and thanks Nick Rayner and Lizzie Good for helpful comments on the manuscript. Lisa Alexander is supported by the Australian Research Council (ARC) Grants DP160103439 and CE170100023. Markus Donat acknowledges funding by the Spanish Ministry for the Economy, Industry and Competitiveness Ramón y Cajal 2017 Grant Reference RYC‐2017‐22964. Mohd Noor'Arifin Bin Hj Yussof and Muhammad Khairul Izzat Bin Ibrahim thank the Brunei Darussalam Meteorological Department (BDMD). Ying Sun was supported by China funding agencies 2018YFA0605604 and 2018YFC1507702. Fatemeh Rahimzadeh and Mahbobeh Khoshkam thank I.R. of Iranian Meteorological Organization (IRIMO) and the Atmospheric Science and Meteorological Organization Research Center (ASMERC) for Data and also sharing their experiences, especially Abbas Rangbar. Jose Marengo was supported by the National Institute of Science and Technology for Climate Change Phase 2 under CNPq Grant 465501/2014‐1, FAPESP Grants 2014/50848‐9 and 2015/03804‐9, and the National Coordination for High Level Education and Training (CAPES) Grant 88887.136402‐00INCT. The team that worked on the data in West Africa received funding from the UK's National Environment Research Council (NERC)/Department for International Development DFID) Future Climate For Africa programme, under the AMMA‐2050 project (Grants NE/M020428/1 and NE/M019969/1). Data from Southeast Asia (excl. Indonesia) was supported by work on using ClimPACT2 during the Second Workshop on ASEAN Regional Climate Data, Analysis and Projections (ARCDAP‐2), 25–29 March 2019, Singapore, jointly funded by Meteorological Service Singapore and WMO through the Canada‐Climate Risk and Early Warning Systems (CREWS) initiative. This research was supported by Thai Meteorological Department (TMD) and Thailand Science Research and Innovation (TSRI) under Grant RDG6030003. Daily data for Mexico were, Peer Reviewed, Postprint (published version)
- Published
- 2020
20. Development of an Updated Global Land In Situ-Based Data Set of Temperature and Precipitation Extremes: HadEX3
- Author
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Universitat Rovira i Virgili, Dunn, Robert J. H.; Alexander, Lisa, V; Donat, Markus G.; Zhang, Xuebin; Bador, Margot; Herold, Nicholas; Lippmann, Tanya; Allan, Rob; Aguilar, Enric; Barry, Abdoul Aziz; Brunet, Manola; Caesar, John; Chagnaud, Guillaume; Cheng, Vincent; Cinco, Thelma; Durre, Imke; de Guzman, Rosaline; Htay, Tin Mar; Ibadullah, Wan Maisarah Wan; Bin Ibrahim, Muhammad Khairul Izzat; Khoshkam, Mahbobeh; Kruger, Andries; Kubota, Hisayuki; Leng, Tan Wee; Lim, Gerald; Li-Sha, Lim; Marengo, Jose; Mbatha, Sifiso; McGree, Simon; Menne, Matthew; de los Milagros Skansi, Maria; Ngwenya, Sandile; Nkrumah, Francis; Oonariya, Chalump; Daniel Pabon-Caicedo, Jose; Panthou, Geremy; Cham Pham; Rahimzadeh, Fatemeh; Ramos, Andrea; Salgado, Ernesto; Salinger, Jim; Sane, Youssouph; Sopaheluwakan, Ardhasena; Srivastava, Arvind; Sun, Ying; Timbal, Bertrand; Trachow, Nichanun; Trewin, Blair; van der Schrier, Gerard; Vazquez-Aguirre, Jorge; Vasquez, Ricardo; Villarroel, Claudia; Vincent, Lucie; Vischel, Theo; Vose, Russ; Yussof, Mohd Noor'Arifin Bin Hj, Universitat Rovira i Virgili, and Dunn, Robert J. H.; Alexander, Lisa, V; Donat, Markus G.; Zhang, Xuebin; Bador, Margot; Herold, Nicholas; Lippmann, Tanya; Allan, Rob; Aguilar, Enric; Barry, Abdoul Aziz; Brunet, Manola; Caesar, John; Chagnaud, Guillaume; Cheng, Vincent; Cinco, Thelma; Durre, Imke; de Guzman, Rosaline; Htay, Tin Mar; Ibadullah, Wan Maisarah Wan; Bin Ibrahim, Muhammad Khairul Izzat; Khoshkam, Mahbobeh; Kruger, Andries; Kubota, Hisayuki; Leng, Tan Wee; Lim, Gerald; Li-Sha, Lim; Marengo, Jose; Mbatha, Sifiso; McGree, Simon; Menne, Matthew; de los Milagros Skansi, Maria; Ngwenya, Sandile; Nkrumah, Francis; Oonariya, Chalump; Daniel Pabon-Caicedo, Jose; Panthou, Geremy; Cham Pham; Rahimzadeh, Fatemeh; Ramos, Andrea; Salgado, Ernesto; Salinger, Jim; Sane, Youssouph; Sopaheluwakan, Ardhasena; Srivastava, Arvind; Sun, Ying; Timbal, Bertrand; Trachow, Nichanun; Trewin, Blair; van der Schrier, Gerard; Vazquez-Aguirre, Jorge; Vasquez, Ricardo; Villarroel, Claudia; Vincent, Lucie; Vischel, Theo; Vose, Russ; Yussof, Mohd Noor'Arifin Bin Hj
- Abstract
We present the second update to a data set of gridded land-based temperature and precipitation extremes indices: HadEX3. This consists of 17 temperature and 12 precipitation indices derived from daily, in situ observations and recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). These indices have been calculated at around 7,000 locations for temperature and 17,000 for precipitation. The annual (and monthly) indices have been interpolated on a1.875 degrees x1.25 degrees longitude-latitude grid, covering 1901-2018. We show changes in these indices by examining global-average time series in comparison with previous observational data sets and also estimating the uncertainty resulting from the nonuniform distribution of meteorological stations. Both the short and long time scale behavior of HadEX3 agrees well with existing products. Changes in the temperature indices are widespread and consistent with global-scale warming. The extremes related to daily minimum temperatures are changing faster than the maximum. Spatial changes in the linear trends of precipitation indices over 1950-2018 are less spatially coherent than those for temperature indices. Globally, there are more heavy precipitation events that are also more intense and contribute a greater fraction to the total. Some of the indices use a reference period for calculating exceedance thresholds. We present a comparison between using 1961-1990 and 1981-2010. The differences between the time series of the temperature indices observed over longer time scales are shown to be the result of the interaction of the reference period with a warming climate. The gridded netCDF files and, where possible, underlying station indices are available from and .
- Published
- 2020
21. Are Minimum Wages and Payroll Taxes a Constraint to the Creation of Formal Jobs in Morocco?
- Author
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Angel-Urdinola, Diego F., Barry, Abdoul Gadiry, and Guennouni, Jamal
- Subjects
payroll taxes ,job search ,youth employment ,minimum wage ,informal sector - Abstract
This paper uses a search-and-matching model to examine the effects of labor regulations that influence the cost of formal labor (notably minimum wages and payroll taxes) on labor market outcomes in Morocco. The model assumes that the informal sector is unregulated and thus not directly affected by these labor policies. However, the model takes into consideration that although labor policies apply only to the formal sector, they may influence the size and the composition of employment in the informal sector, as well as the size and composition of unemployment and self-employment. The results indicate that these regulations, especially minimum wage policy, contribute to higher unemployment rates and constraint formalization in Morocco, especially for youth and women.
- Published
- 2016
22. Labor Mobility, Economic Shocks and Jobless Growth Evidence from Panel Data in Morocco
- Author
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Verme, Paolo, Barry, Abdoul Gadiry, and Guennouni, Jamal
- Subjects
unemployment ,labor force participation ,employment ,labor market ,labor mobility - Abstract
During the past 20 years, Morocco has implemented a wide range of macroeconomic, social and labor market reforms that have delivered in terms of GDP growth and household welfare. Yet, these positive developments are not reflected by the main labor market indicators, a phenomenon observed elsewhere in developed and developing economies alike and labeled as ‘jobless growth’. For the first time in Morocco, this paper investigates the question of labor mobility using quarterly panel data in an effort to determine whether people have moved to better sectors and jobs. Results point to significant labor mobility between labor statuses with quite distinct features across population groups. All groups experience some form of labor market mobility every quarter and women are as mobile as men. However, the transitions that women experience are very different from the transitions that men experience and women's performance is worse than men's performance in almost all aspects of labor mobility.
- Published
- 2015
23. Climate change analysis for guinea conakry with homogenized daily dataset
- Author
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Aziz Barry, Abdoul, Aguilar Anfrons, Enric, and Universitat Rovira i Virgili. Departament de Geografia
- Subjects
extrem climàtic ,Climate Indices ,índices climáticos ,Climate Extreme ,Canvi climàtic ,índex climàtic ,Climate change ,cambio climático ,extremo climático - Abstract
A aquesta tesi, les dades diàries de temperatures màximes i mínimes i precipitació de 12 estacions meteorològiques guineanes han segut sotmeses a controls de qualitat utilitzant les rutines RClimdex-ExtraQC. Les quals contenen eines per una sèrie temporal única. Els valors identificats com potencialment erronis han segut examinats mitjançant decisió subjectiva, han segut validats, corregits o eliminats. Aquestes dades lliures de qualsevol registre sospitós han segut homogeneïtzades utilitzant l’arxiu de sortida HOMER de dades mensuals. Els índexs escollits d’ETCCDI i ET-CRSCI s’han calculat per a les dades de temperatura i precipitació anuals i estacionals utilitzant ET-CRSCI del paquet RClimPact. A més, les mitjanes anuals de Tx, Tn i precipitació nacional junt amb vuit índexs d’extrem han segut utilitzats per detectar teleconexions entre els índexs climàtics i l’índex SOI. Un anàlisis de tendències no paramètric s’ha dut a terme sobre tres períodes superposats que comencen al 1941, 1961 i 1971 i tots acaben al 2010. Els resultats indiquen diversos patrons espacials coherents amb l’escalfament, significatius identificats tant amb els índexs extrems de Tx com de Tn per a tots els períodes i estacions. Els índexs basats en dades de precipitació diària mostren patrons menys coherents però, en general, existeixen patrons de sequera significatius per a la majoria d’índexs relacionats amb la precipitació diària per als períodes 1941-2010 i 1961-2010, mentre que per al període 1971-2010 l’anàlisi suggereix canvis no significatius cap a condicions més humides. En general, no s’han produït canvis espacialment coherents amb esdeveniments extrems de precipitació per al conjunt de Guinea i període d’estudi, ja que aquests, s’han produït a escala local. Hi ha indicis de que les condicions humides estan relacionades amb la Niña. Les precipitacions durant el període 1971-2010 han segut entre un 13.6 % i un 27.75 % menors que durant el període 1941-1970., En esta tesis, datos diarios de temperaturas máximas y mínimas y precipitación de 12 estaciones guineanas han sido sometidos a controles de calidad utilizando las rutinas RClimdex-ExtraQC. Estas rutinas contienen herramientas para una serie temporal única. Los valores identificados como potencialmente erróneos han sido examinados y mediante decisión subjetiva, han sido validados, corregidos o eliminados. Estos datos libres de cualquier tipo de registro sospechoso han sido homogeneizados utilizando el archivo de salida HOMER de datos mensuales. Índices elegidos de ETCCDI y ET-CRSCI se han calculado para las temperaturas y precipitaciones anuales y estacionales utilizando ET-CRSCI del paquete R ClimPact. Además, promedios anuales de Tx, Tn y precipitación nacional y ocho índices de extremos han sido usados para detectar teleconexiones entre los índices climáticos y el índice SOI. Un análisis de tendencias no paramétrica se ha realizado sobre tres períodos superpuestos que empiezan en 1941, 1961 y 1971, y terminan todos en 2010. Los resultados indican diversos patrones espaciales coherentes con el calentamiento, significativos, identificados tanto en los índices de extremos de Tx como de Tn para todos los periodos y estaciones. Los índices basados en datos de precipitación diaria mostraron patrones menos coherentes pero, en general, existen patrones de sequía significativos en la mayoría de los índices relacionados con la precipitación diaria para los períodos 1941-2010 i 1961-2010, mientras que para el período 1971-2010 el análisis sugiere cambios no significativos hacia condiciones más húmedas. En general, no se han producido cambios espacialmente coherentes con eventos extremos de precipitación para el conjunto de Guinea y el período de estudio, ya que estos, se han producido a escala local. Hay indicios de que las condiciones más húmedas están asociadas con La Niña. Las precipitaciones durante el periodo 1971-2010 han sido entre un 13.6% y un 27.75% menores que durante el período 1941-1970., In this thesis, Guinea's 12 weather stations daily minimum and daily maximum temperatures and daily precipitation data have been carefully quality controlled using the RClimdex-ExtraQC routines. These routines contain suitable tools to quality control single time series. The values identified as potentially erroneous have been carefully scrutinized and a subjective decision has been made to validate, correct or set them to missing. The resulted dataset free of any kind of suspicious data record has been homogenized using HOMER monthly output file. Chosen indices from ETCCDI and ET-CRSCI indices have been calculated using ET-CRSCI ClimPact R package. Annual and seasonal temperatures and precipitations indices have also been computed. Additionally, eight nationwide averaged climate extremes indices, the nationwide averaged annual Tx mean and Tn mean and total precipitation indices have been use to detect teleconnection between climate indices and SOI indices. A nonparametric trend analysis is then performed for three overlapping periods, with different starting years 1941, 1961 and 1971 but all ending the same 2010 year. The result suggested that coherent spatial patterns of significant warming changes have emerged from both Tx and Tn related extremes indices for all periods and season. Indices based on daily precipitation data showed more mixed patterns of change but, in general, significant drying patterns have been seen in most of the 1941-2010 and 1961-2010 periods' daily precipitation related indices while over the period 1971-2010 analyses suggested non-significant changes towards wetter conditions. Overall, there have been no spatially coherent changes in extreme rainfall events across Guinea for the study period, but changes in extreme precipitation events have occurred on local scales. There are signs that wetter conditions are associated with the La Niña years. Rainfall during the 1971-2010 is on average some 13.6 % to 27.75 % lower than during the period 1941–1970.
- Published
- 2014
24. Female labor participation in the Arab world : some evidence from panel data in Morocco
- Author
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Verme, Paolo, Barry, Abdoul Gadiry, and Guennouni, Jamal
- Subjects
Population Policies,Primary Education,Housing&Human Habitats,Labor Markets,Teaching and Learning - Abstract
Female labor participation in the Arab world is low compared with the level of economic development of Arab countries. Beyond anecdotal evidence and cross-country studies, there is little evidence on what could explain this phenomenon. This paper uses the richest set of panel data available for any Arab country to date to model female labor participation in Morocco. The paper finds marriage, household inactivity rates, secondary education, and gross domestic product per capita to lower female labor participation rates. It also finds that the category urban educated women with secondary education explains better than others the low level of female labor participation. These surprising findings are robust to different estimators, endogeneity tests, different specifications of the female labor participation equations, and different sources of data. The findings are also consistent with previous studies on the Middle East and North Africa region and on Morocco. The explanation seems to reside in the nature of economic growth and gender norms. Economic growth has not been labor intensive, has generated few jobs, and has not been in female-friendly sectors, resulting in weak demand for women, especially urban educated women with secondary education. And when men and women compete for scarce jobs, men may have priority access because of employers'and households'preferences.
- Published
- 2014
25. Female Labor Participation in the Arab World: Evidence from Panel Data in Morocco
- Author
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Verme, Paolo, primary, Barry, Abdoul Gadiry, additional, and Guennouni, Jamal, additional
- Published
- 2016
- Full Text
- View/download PDF
26. Labor mobility, economic shocks and jobless growth evidence from panel data in Morocco†
- Author
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Verme, Paolo, primary, Gadiry Barry, Abdoul, additional, Guennouni, Jamal, additional, and Taamouti, Mohamed, additional
- Published
- 2015
- Full Text
- View/download PDF
27. Labor mobility, economic shocks and jobless growth evidence from panel data in Morocco.
- Author
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Verme, Paolo, Gadiry Barry, Abdoul, Guennouni, Jamal, and Taamouti, Mohamed
- Published
- 2016
- Full Text
- View/download PDF
28. Comparative advantage, trade flows and prospects for regional agricultural market integration in West Africa
- Author
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Barry, Abdoul Wahab
- Published
- 1994
- Full Text
- View/download PDF
29. A STUDY OF CEREAL PRICE INTERRELATIONSHIPS ACROSS MARKETS AND COMMODITIES AT THE WHOLESALE AND RETAIL LEVELS IN MALI
- Author
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Barry, Abdoul Wahab
- Subjects
Demand and Price Analysis ,Crop Production/Industries - Abstract
Beginning in 1981, the government of Mali undertook several policy reforms to allow participation of private traders in cereal marketing, which up to that date was officially controlled by a parastatal. These reforms can be expected to have an impact on the working of the cereals market. One of the main objectives of this study is to assess the performance of the cereal marketing system. The task is to study how different markets are interrelated in terms of price formation, by using wholesale and retail price data and different techniques of analysis. These methods of analysis include bivariate correlations, calculation of margins, and multiple regression techniques. Not only is the research aimed at showing the differences and similarities of the different methods of analysis, but also at showing the strength and weaknesses of different data sets on cereal prices in Mali. Another objective of this paper is to study the price interrelationships across commodities in order to determine the degree of substitutability between the cereals involved.
- Published
- 1989
- Full Text
- View/download PDF
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