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  1. AU="Hingray, Benoit"
  2. AU="Karaca, E."
  3. AU=Harmer Matthew James
  4. AU="Jamaludin, Faridi S"
  5. AU="Sahebalzamani, Afsaneh"
  6. AU="Valverde-Molina, José"
  7. AU="Xiangpeng Yuan"
  8. AU="Rajpoot, Akanksha"
  9. AU="Aragaw, Kassaye"
  10. AU="Nalesso, Giovanna"
  11. AU="Remzi, F"
  12. AU="Lely Solari"
  13. AU="Aldridge, Daniel L"
  14. AU=Gross Lissy Z F AU=Gross Lissy Z F
  15. AU="DeVita, Robert"
  16. AU=Berkenstock Meghan K
  17. AU=Saleh Mohammed
  18. AU="Ganesan, Anuradha"
  19. AU="Ye, Yi-Fan"
  20. AU="Astasov-Frauenhoffer, Monika"
  21. AU="Ferrer-Diaz, Alejandra I"
  22. AU="Iwata, Miko"

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  1. Artikel ; Online: Recent trends in urban electricity consumption for cooling in West and Central African countries

    Kondi-Akara, Ghafi / Hingray, Benoît / Francois, Baptiste / Diedhiou, Arona

    Energy. 2023 Aug., v. 276 p.127597-

    2023  

    Abstract: Thanks to a new non-stationary analytical framework, we estimate the factors that explain the day-to-day and long-term variability of the per-capita electricity consumption in twelve cities of West and Central Africa, especially its sensitivity to ... ...

    Abstract Thanks to a new non-stationary analytical framework, we estimate the factors that explain the day-to-day and long-term variability of the per-capita electricity consumption in twelve cities of West and Central Africa, especially its sensitivity to weather. Whatever the local climate, temperature is an important driver and explains from 25% to 70% of the variability. The percentage contribution of temperature to the annual consumption is often greater than 20%. Air humidity is another important factor, especially in Sahelian cities where its seasonality is large. It explains up to 6.8% of day-to-day consumption variability in Dakar. The thermal sensitivity is significantly lower than that in OECD countries but when normalized by the base consumption, it is similar. Each additional degree of temperature produces a 3-4% increase in the base consumption in Mindelo and Dakar, 6-10% in most Sahelian and tropical cities. The percentage consumption increase induced by air humidity can be also significant: in Sahelian and some tropical cities, a 10% increase in air humidity roughly corresponds to 70% of the percentage consumption increase induced by a 1 °C increase in temperature (30-90% depending on the city). For most cities, the base consumption and the normalized weather sensitivities are significantly increasing over time, making the electricity demand behavior highly non-stationary.
    Schlagwörter Sahel ; air ; electric energy consumption ; electricity ; energy ; humidity ; temperature ; Central Africa ; Africa ; Electricity load ; Weather sensitivity ; Energy consumption ; Trends
    Sprache Englisch
    Erscheinungsverlauf 2023-08
    Erscheinungsort Elsevier Ltd
    Dokumenttyp Artikel ; Online
    Anmerkung Pre-press version ; Use and reproduction
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2023.127597
    Datenquelle NAL Katalog (AGRICOLA)

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  2. Artikel ; Online: A pilot randomised controlled trial comparing the effectiveness of the MaTerre180' participatory tool including a serious game versus an intervention including carbon footprint awareness-raising on behaviours among academia members in France.

    Teran-Escobar, Claudia / Becu, Nicolas / Champollion, Nicolas / Gratiot, Nicolas / Hingray, Benoît / Panthou, Gérémy / Ruin, Isabelle

    PloS one

    2024  Band 19, Heft 3, Seite(n) e0301124

    Abstract: Background: Activities embedded in academic culture (international conferences, field missions) are an important source of greenhouse gas emissions. For this reason, collective efforts are still needed to lower the carbon footprint of Academia. Serious ... ...

    Abstract Background: Activities embedded in academic culture (international conferences, field missions) are an important source of greenhouse gas emissions. For this reason, collective efforts are still needed to lower the carbon footprint of Academia. Serious games are often used to promote ecological transition. Nevertheless, most evaluations of their effects focus on changes in knowledge and not on behaviour. The main objectives of this study are to 1) Evaluate the feasibility of a control and an experimental behaviour change intervention and, 2) Evaluate the fidelity (the extent to which the implementation of the study corresponds to the original design) of both interventions.
    Methods: People employed by a French research organisation (N = 30) will be randomised to one of the two arms. The experimental arm consists in a 1-hour group discussion for raising awareness about climate change, carrying out a carbon footprint assessment and participating to a serious game called "Ma terre en 180 minutes." The control arm consists of the same intervention (1h discussion + carbon footprint assessment) but without participating to the serious game. On two occasions over one month, participants will be asked to fill in online surveys about their behaviours, psychological constructs related to behaviour change, sociodemographic and institutional information. For every session of intervention, the facilitators will assess task completion, perceived complexity of the tasks and the perceived responsiveness of participants. Descriptive statistics will be done to analyse percentages and averages of the different outcomes.
    Discussion: Ma-terre EVAL pilot study is a 1-month and a half pilot randomised controlled trial aiming to evaluate the feasibility and the fidelity of a 24-month randomised controlled trial. This study will provide more information on the levers and obstacles to reducing the carbon footprint among Academia members, so that they can be targeted through behaviour change interventions or institutional policies.
    Mesh-Begriff(e) Humans ; Pilot Projects ; Academia ; Carbon Footprint ; France
    Sprache Englisch
    Erscheinungsdatum 2024-03-28
    Erscheinungsland United States
    Dokumenttyp Randomized Controlled Trial ; Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0301124
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel: Assessing hydropower flexibility for integrating solar and wind energy in West Africa using dynamic programming and sensitivity analysis. Illustration with the Akosombo reservoir, Ghana

    Danso, Derrick Kwadwo / François, Baptiste / Hingray, Benoit / Diedhiou, Arona

    Journal of cleaner production. 2021 Mar. 10, v. 287

    2021  

    Abstract: The flexibility of hydropower plants with large reservoirs is frequently exploited to integrate large shares of variable and intermittent renewable energy sources in electricity systems. In this study, we assess the flexibility that could be provided by ... ...

    Abstract The flexibility of hydropower plants with large reservoirs is frequently exploited to integrate large shares of variable and intermittent renewable energy sources in electricity systems. In this study, we assess the flexibility that could be provided by large hydropower reservoirs in West Africa to cope with planned future solar and wind energy generation in the region. Reservoir operations are estimated via Dynamic Programming with the objective to minimize the variability of the residual demand that commonly needs to be supplied by conventional generation means at high monetary and carbon costs. The analysis framework is demonstrated for the Akosombo hydropower reservoir in Ghana for which a number of future scenarios of increased electricity demand are considered. Different combinations of solar and wind energy development are considered to match the increase in demand. The results show that the Akosombo hydropower reservoir can smooth out the variability of the residual electricity demand when the increase in electricity demand is below 25% and the corresponding contribution of solar and wind energy to the total electricity generation does not exceed 20%. For larger increases in demand and thus larger solar and wind generation, the Akosombo reservoir cannot fully smooth-out the variability of the subsequent residual demand, although, the performance varies with the relative contribution of solar and wind in the energy mix. However, we found that the use of an additional short-term storage helps to further reduce the variability of the residual demand.
    Schlagwörter carbon ; dynamic programming ; electricity ; electricity generation ; storage time ; variability ; water power ; wind ; wind power ; Ghana
    Sprache Englisch
    Erscheinungsverlauf 2021-0310
    Erscheinungsort Elsevier Ltd
    Dokumenttyp Artikel
    Anmerkung NAL-light
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2020.125559
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  4. Artikel: Uncertainty component estimates in transient climate projections : Precision of estimators in a single time or time series approach

    Hingray, Benoit / Blanchet, Juliette / Evin, Guillaume / Vidal, Jean-Philippe

    Climate dynamics. 2019 Sept., v. 53, no. 5-6

    2019  

    Abstract: Quantifying model uncertainty and internal variability components in climate projections has been paid a great attention in the recent years. For multiple synthetic ensembles of climate projections, we compare the precision of uncertainty component ... ...

    Abstract Quantifying model uncertainty and internal variability components in climate projections has been paid a great attention in the recent years. For multiple synthetic ensembles of climate projections, we compare the precision of uncertainty component estimates obtained respectively with the two Analysis of Variance (ANOVA) approaches mostly used in recent works: the popular Single Time approach (STANOVA), based on the data available for the considered projection lead time and a time series based approach (QEANOVA), which assumes quasi-ergodicity of climate outputs over the available simulation period. We show that the precision of all uncertainty estimates is higher when more members are used, when internal variability is smaller and/or the response-to-uncertainty ratio is higher. QEANOVA estimates are much more precise than STANOVA ones: QEANOVA simulated confidence intervals are roughly 3–5 times smaller than STANOVA ones. Except for STANOVA when less than three members is available, the precision is rather high for total uncertainty and moderate for internal variability estimates. For model uncertainty or response-to-uncertainty ratio estimates, the precision is low for QEANOVA to very low for STANOVA. In the most unfavorable configurations (small number of members, large internal variability), large over- or underestimation of uncertainty components is thus very likely. In a number of cases, the uncertainty analysis should thus be preferentially carried out with a time series approach or with a local-time series approach, applied to all predictions available in the temporal neighborhood of the target prediction lead time.
    Schlagwörter analysis of variance ; climate ; confidence interval ; model uncertainty ; prediction ; time series analysis ; uncertainty analysis
    Sprache Englisch
    Erscheinungsverlauf 2019-09
    Umfang p. 2501-2516.
    Erscheinungsort Springer Berlin Heidelberg
    Dokumenttyp Artikel
    ZDB-ID 1471747-5
    ISSN 1432-0894 ; 0930-7575
    ISSN (online) 1432-0894
    ISSN 0930-7575
    DOI 10.1007/s00382-019-04635-1
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  5. Artikel: Future Trends in the Interdependence Between Flood Peaks and Volumes: Hydro‐Climatological Drivers and Uncertainty

    Brunner, Manuela I. / Hingray, Benoît / Zappa, Massimiliano / Favre, Anne‐Catherine

    Water resources research. 2019 June, v. 55, no. 6

    2019  

    Abstract: Reliable flood estimates are needed for designing safe and cost‐effective flood protection structures. Classical flood estimation methods applied for deriving such estimates focus on peak discharge and neglect other important flood characteristics such ... ...

    Abstract Reliable flood estimates are needed for designing safe and cost‐effective flood protection structures. Classical flood estimation methods applied for deriving such estimates focus on peak discharge and neglect other important flood characteristics such as flood volume and the interdependence among different flood characteristics. Furthermore, they do not account for potential nonstationarities in hydrological time series due to climate change. The consideration of both the interdependence between peak discharge and flood volume and its nonstationarity might help us derive more reliable flood estimates. A few studies have looked at changes in the general dependence of peak discharge and flood volume for small sets of catchments and explored ways of modeling such changes. However, spatial analyses of trends in this dependence or in their climatological drivers have not been carried out. The aim of this study was to help close this knowledge gap by first quantifying trends in the general dependence between peak discharge and flood volume as described by Kendall's tau on a spatially comprehensive data set of 307 catchments in Switzerland. Second, potential climatological drivers for changes in the dependence between peak discharge and flood volume were identified. Our results show that the dependence between peak discharge and flood volume and its trends are spatially heterogeneous. This pattern cannot be explained by one driver only but by an interplay of changes in precipitation, snowmelt, and soil moisture. Both the trends and the links between drivers and trends depend on the climate model chain considered and are therefore uncertain.
    Schlagwörter climate change ; climate models ; cost effectiveness ; data collection ; flood control ; hydrologic data ; research ; snowmelt ; soil water ; uncertainty ; Switzerland
    Sprache Englisch
    Erscheinungsverlauf 2019-06
    Umfang p. 4745-4759.
    Erscheinungsort John Wiley & Sons, Ltd
    Dokumenttyp Artikel
    Anmerkung JOURNAL ARTICLE
    ZDB-ID 5564-5
    ISSN 1944-7973 ; 0043-1397
    ISSN (online) 1944-7973
    ISSN 0043-1397
    DOI 10.1029/2019WR024701
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    Z 4285: Hefte anzeigen

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  6. Artikel: Assessing uncertainties in the regional projections of precipitation in CORDEX-AFRICA

    Bichet, Adeline / Diedhiou, Arona / Hingray, Benoit / Evin, Guillaume / Touré, N’Datchoh Evelyne / Browne, Klutse Nana Ama / Kouadio, Kouakou

    Climatic change. 2020 Sept., v. 162, no. 2

    2020  

    Abstract: Over the past decades, large variations of precipitation were observed in Africa, which often led to dramatic consequences for local society and economy. To avoid such disasters in the future, it is crucial to better anticipate the expected changes, ... ...

    Abstract Over the past decades, large variations of precipitation were observed in Africa, which often led to dramatic consequences for local society and economy. To avoid such disasters in the future, it is crucial to better anticipate the expected changes, especially in the current context of climate change and population growth. To this date, however, projections of precipitation over Africa are still associated with very large uncertainties. To better understand how this uncertainty can be reduced, this study uses an advanced Bayesian analysis of variance (ANOVA) method to characterize, for the first time in the regional climate projections of CORDEX-AFRICA, the different sources of uncertainty associated with the projections of precipitation over Africa.By 2090, the ensemble mean precipitation is projected to increase over the Horn of Africa from September to May and over the eastern Sahel and Guinea Coast from June to November. It is projected to decrease over the northern coast and southern Africa all year long, over western Sahel from March to August, and over the Sahel and Guinea Coast from March to May. Most of these projections however are not robust, i.e., the magnitude of change is smaller than the associated uncertainty. Over time, the relative contribution of internal variability (excluding interannual variability) to total uncertainty is moderate and quickly falls below 10%. By 2090, it is found that over the Horn of Africa, northern coast, southern Africa, and Sahel, most of the uncertainty results from a large dispersion across the driving Global Climate Models (in particular MIROC, CSIRO, CCCma, and IPSL), whereas over the tropics and parts of eastern Africa, most of the uncertainty results from a large dispersion across Regional Climate Models (in particular CLMcom).
    Schlagwörter Bayesian theory ; Sahel ; analysis of variance ; climate change ; climate models ; coasts ; disasters ; population growth ; tropics ; uncertainty ; Eastern Africa ; Guinea ; Southern Africa
    Sprache Englisch
    Erscheinungsverlauf 2020-09
    Umfang p. 583-601.
    Erscheinungsort Springer Netherlands
    Dokumenttyp Artikel
    ZDB-ID 751086-x
    ISSN 0165-0009
    ISSN 0165-0009
    DOI 10.1007/s10584-020-02833-z
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    Einzelsign.: Hefte anzeigen
    Z 2010/701: Hefte anzeigen

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  7. Buch: Hydrology

    Hingray, Benoît / Musy, André / Picouet, Cécile

    a science for engineers

    2014  

    Titelübersetzung Hydrologie 2: Une science pour l'ingénieur <engl.>
    Titelvarianten Hydrology - a science for engineers
    Verfasserangabe Benoît Hingray; Cécile Picouet; André Musy
    Schlagwörter Hydrology
    Sprache Englisch
    Umfang XVII, 572 S., Ill., graph. Darst., Kt.
    Verlag CRC Press/Science Publ
    Erscheinungsort Boca Raton, Fla. u.a.
    Dokumenttyp Buch
    Anmerkung Authors: Dr. Benoît Hingray (Laboratoire d'Etudes des Transferts en Hydrologie et Environnement-Grenoble, Centre National de la Recherche Scientifique, CNRS/France, Grenoble, France); Dr. Cécile Picouet (expert in hydrological risks, water resources and regional planning, HYDRETUDES, Alpespace, France); Dr. André Musy (Professor emeritus Ecole Polytechnique Fédérale de Lausanne, EPFL, Switzerland) ; Updated Engl. transl. of the original French ed. "Hydrologie 2: Une science pour l'ingénieur" (2009). - Literaturverz. S. [527] - 557
    ISBN 9781466590595 ; 9781466590601 ; 1466590599 ; 1466590602
    Datenquelle Katalog der Technische Informationsbibliothek Hannover

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  8. Buch ; Online: Assessment of meteorological extremes using a synoptic weather generator and a downscaling model based on analogues

    Raynaud, Damien / Hingray, Benoit / Evin, Guillaume / Favre, Anne-Catherine / Chardon, Jérémy

    eISSN: 1607-7938

    2020  

    Abstract: Natural risk studies such as flood risk assessments require long series of weather variables. As an alternative to observed series, which have a limited length, these data can be provided by weather generators. Among the large variety of existing ones, ... ...

    Abstract Natural risk studies such as flood risk assessments require long series of weather variables. As an alternative to observed series, which have a limited length, these data can be provided by weather generators. Among the large variety of existing ones, resampling methods based on analogues have the advantage of guaranteeing the physical consistency between local weather variables at each time step. However, they cannot generate values of predictands exceeding the range of observed values. Moreover, the length of the simulated series is typically limited to the length of the synoptic meteorological records used to characterize the large-scale atmospheric configuration of the generation day. To overcome these limitations, the stochastic weather generator proposed in this study combines two sampling approaches based on atmospheric analogues: (1) a synoptic weather generator in a first step, which recombines days of the 20th century to generate a 1000-year sequence of new atmospheric trajectories, and (2) a stochastic downscaling model in a second step applied to these atmospheric trajectories, in order to simulate long time series of daily regional precipitation and temperature. The method is applied to daily time series of mean areal precipitation and temperature in Switzerland. It is shown that the climatological characteristics of observed precipitation and temperature are adequately reproduced. It also improves the reproduction of extreme precipitation values, overcoming previous limitations of standard analogue-based weather generators.
    Thema/Rubrik (Code) 910
    Sprache Englisch
    Erscheinungsdatum 2020-09-04
    Erscheinungsland de
    Dokumenttyp Buch ; Online
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  9. Artikel ; Online: La statistique, une boîte à outils complète pour quantifier l'incertitude – Application aux projections climatiques en zone de montagne

    EVIN, Guillaume / ECKERT, Nicolas / HINGRAY, Benoit / MORIN, Samuel / VERFAILLIE, Deborah / LAFAYSSE, Matthieu

    Sciences, Eaux & Territoires, Vol 2019, Iss 28, Pp 90-

    2019  Band 97

    Abstract: Pour de nombreux secteurs et disciplines du domaine de l’environnement (ressources en eau, biodiversité, risques naturels etc.), la question de l’adaptation au changement climatique est devenue primordiale. Si l’exploitation des projections climatiques à ...

    Abstract Pour de nombreux secteurs et disciplines du domaine de l’environnement (ressources en eau, biodiversité, risques naturels etc.), la question de l’adaptation au changement climatique est devenue primordiale. Si l’exploitation des projections climatiques à l’échelle du territoire apporte des réponses, elle ne prend pas suffisamment en compte les incertitudes liées aux scénarios d'évolutions socio-économiques et aux modèles numériques (globaux, régionaux, d’impacts) utilisés pour obtenir ces projections, et celles liées à la variabilité naturelle du climat. Pour pallier le manque d’outils efficaces, les auteurs de cet article proposent de nouvelles méthodes statistiques qu’ils ont appliquées à un exemple concret, celui des projections climatiques pour le massif de la Chartreuse dans les Alpes françaises, et pour trois variables, la température, les précipitations et la hauteur de neige moyenne en hiver.
    Schlagwörter changement climatique ; zone de montagne ; incertitude ; méthodologie ; météorologie ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
    Sprache Französisch
    Erscheinungsdatum 2019-08-01T00:00:00Z
    Verlag Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Buch ; Online: Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin

    Viviroli, Daniel / Sikorska-Senoner, Anna E. / Evin, Guillaume / Staudinger, Maria / Kauzlaric, Martina / Chardon, Jérémy / Favre, Anne-Catherine / Hingray, Benoit / Nicolet, Gilles / Raynaud, Damien / Seibert, Jan / Weingartner, Rolf / Whealton, Calvin

    eISSN: 1684-9981

    2022  

    Abstract: Estimates for rare to very rare floods are limited by the relatively short streamflow records available. Often, pragmatic conversion factors are used to quantify such events based on extrapolated observations, or simplifying assumptions are made about ... ...

    Abstract Estimates for rare to very rare floods are limited by the relatively short streamflow records available. Often, pragmatic conversion factors are used to quantify such events based on extrapolated observations, or simplifying assumptions are made about extreme precipitation and resulting flood peaks. Continuous simulation (CS) is an alternative approach that better links flood estimation with physical processes and avoids assumptions about antecedent conditions. However, long-term CS has hardly been implemented to estimate rare floods (i.e. return periods considerably larger than 100 years) at multiple sites in a large river basin to date. Here we explore the feasibility and reliability of the CS approach for 19 sites in the Aare River basin in Switzerland (area: 17 700 km 2 ) with exceedingly long simulations in a hydrometeorological model chain. The chain starts with a multi-site stochastic weather generator used to generate 30 realizations of hourly precipitation and temperature scenarios of 10 000 years each. These realizations were then run through a bucket-type hydrological model for 80 sub-catchments and finally routed downstream with a simplified representation of main river channels, major lakes and relevant floodplains in a hydrologic routing system. Comprehensive evaluation over different temporal and spatial scales showed that the main features of the meteorological and hydrological observations are well represented and that meaningful information on low-probability floods can be inferred. Although uncertainties are still considerable, the explicit consideration of important processes of flood generation and routing (snow accumulation, snowmelt, soil moisture storage, bank overflow, lake and floodplain retention) is a substantial advantage. The approach allows for comprehensively exploring possible but unobserved spatial and temporal patterns of hydrometeorological behaviour. This is of particular value in a large river basin where the complex interaction of flows from individual tributaries and lake ...
    Thema/Rubrik (Code) 550 ; 333
    Sprache Englisch
    Erscheinungsdatum 2022-09-02
    Erscheinungsland de
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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