Resultados totales (Incluyendo duplicados): 6
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982
Dataset. 2022

OPTIMAL IMPLEMENTATION OF CLIMATE CHANGE ADAPTATION MEASURES TO ENSURE LONG-TERM SUSTAINABILITY ON LARGE IRRIGATION SYSTEMS

CODE AND DATA SET

  • Haro-Monteagudo, David
  • Beguería, Santiago
Dataset and code to explore the results of climate change and water management scenario runs [EN]., Conjunto de datos y código para la exploración y visualización de los resultados de las simulaciones bajo condiciones de cambio climático y gestión de los recursos hídricos [ES]., Este trabajo ha contado con financiación del Fondo Europeo de Desarrollo Regional (FEDER) a través del Programa Interreg V España-Francia-Andorra (POCTEFA 2014-2020) de la Unión Europea; de la Agencia Estatal de Investigación de España en el marco de la convocatoria cofinanciada ERA-NET WaterWorks 2015; y de la Fundación Biodiversidad del Ministerio para la Transición Ecológica de España. Los autores quieren también agradecer de forma especial a la Confederación Hidrográfica del Ebro (CHE) y a la Comunidad General de Riegos del Alto Aragón (CGRAA) por el apoyo recibido en la recopilación de datos, validación de los modelos, y creación de un foro de comunicación con los regantes y gestores de los recursos hídricos., No

Proyecto: //
DOI: http://hdl.handle.net/10261/286982, https://doi.org/10.1007/s11269-022-03225-x
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982
HANDLE: http://hdl.handle.net/10261/286982, https://doi.org/10.1007/s11269-022-03225-x
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982
PMID: http://hdl.handle.net/10261/286982, https://doi.org/10.1007/s11269-022-03225-x
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982
Ver en: http://hdl.handle.net/10261/286982, https://doi.org/10.1007/s11269-022-03225-x
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088
Dataset. 2022

SPEIBASE V.2.7 [DATASET]

  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
  • Reig-Gracia, Fergus
  • Latorre Garcés, Borja
The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1356. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI)., Global gridded dataset of the Standardized Precipitation-Evapotranspiration Index (SPEI) at time scales between 1 and 48 months.-- Spatial resolution of 0.5º lat/lon.-- This is an update of the SPEIbase v2.6 (https://digital.csic.es/handle/10261/202305).-- What’s new in version 2.7: 1) Based on the CRU TS 4.05 dataset, spanning the period between January 1901 to December 2020. Using TLMoments::PWM instead of lmomco::pwm.ub for calculating distribution parameters. For more details on the SPEI visit http://sac.csic.es/spei, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/268088
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088
HANDLE: http://hdl.handle.net/10261/268088
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088
PMID: http://hdl.handle.net/10261/268088
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088
Ver en: http://hdl.handle.net/10261/268088
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269577
Dataset. 2022

PIRAGUA_RESOURCES [DATASET]

  • Beguería, Santiago
  • Palazón Tabuenca, Leticia
  • Travesset, Oriol
  • Le Coent, Philippe
  • Forey, Ingrid
  • POCTEFA-PIRAGUA Team
[EN] Contains 17 compressed folders (.zip) with shapefiles (.shp; requires a specific Geographic Information System GIS software) and one PDF file. Under a Open Data Commons Open Database License (ODbL)., [ES] Contiene 17 carpetas comprimidas (.zip) con shapefiles (.shp; requiere software específico para Sistemas de Información Geográfica, SIG) y un archivo PDF. Bajo una "Open Data Commons Open Database License (ODbL)"., [EN] Geospatial data about water use and exploitation in the Pyrenees (France, Spain, Andorra), generated within the project EFA210/16 PIRAGUA Project ("Evaluation and prospective of the water resources of the Pyrenees in a context of climate change, and adaptation measures with impact on the territory")., [ES] Información geoespacial sobre usos y explotación de los recursos hídricos en los Pirineos (Francia, España y Andorra), generada en el contexto del proyecto EFA210/16 PIRAGUA ("Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio")., [FR] Information géospatiale sur les usages et l'exploitation des ressources en eau dans les Pyrénées (France, Espagne et Andorre), générées dans le cadre du projet EFA210/16 PIRAGUA ("Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d'adaptation ayant un impact sur le territoire")., This dataset was developed within the project EFA210/16 PIRAGUA (“Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio / Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d’adaptation avec un impact sur le territoire”), co-funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain France Andorra program (POCTEFA 2014-2020) (65%) and the project’s partners: CSIC, UPV/EHU, UB, OE, IGME, CNRS, BRGM, INRAE and OBSA (35%)., Files in the data set: GIS shapefiles, point layers: - centrales.shp: hydroelectric stations. - est_ski.shp: ski resorts. - cap_embalses.shp: reservoirs. Capas SIG, lineales: - river_net.shp: hydrographic network. Capas SIG, poligonales: - demarcaciones.shp: hydrographic units (basin agencies). - juntas.shp: hydrographic management units (within hydrographic units). -uso_global.shp: total water use, per hydrographic management units. -uso_agri.shp: agricultural water use, per hydrographic management units. -uso_dom.shp: urban water use, per hydrographic management units.. -uso_ind.shp: industrial water use, per hydrographic management units.. -origen_sub.shp: total water use from subsurface origin, per hydrographic management units.. -origen_sup.shp: total water use from surface origin, per hydrographic management units.. -cap_embalsado.shp: capacidad de embalsado, por juntas de explotación hidrográfica. -dom_ski.shp: skiable domain, per hydrographic management units.. -prod_hydro.shp: hydro-power installed power and production, per hydrographic management units. -reservoirs.shp: reservoirs. -zonas_protegidas.shp: nature reserves., Data fields: central.shp: - name, name of the panel. - operator, operator. - power_MW, installed power, in megawatts. - power, installed power (class). - since, year of start of operations. - production, current average annual production, in GWh. - jump_m, vertical distance of the hydraulic jump, in m. est_ski.shp: - name, name of the station. - alt_min_m, minimum elevation, in m above sea level. - alt_max_m, maximum elevation, in m above sea level. - snow_p_%, percentage of the ski area with artificial snow cover. - snow_p_km, ski area with artificial snow cover, in km. - domain_km, ski area, in km. - capacity_p, lift capacity, in people per hour. cap_reservoirs.shp: - name, name of the reservoir. - operator, operator. - use, main uses (A, supply; V, ; H, ; R, ; S, ; ND; not available). - capacity_h, reservoir capacity, in mm^3 (hm^3). - size, size, in classes. - height_m, height of the dam, in m. - area_km2, maximum surface of the sheet of water, in km^2. - since, year of start of operations. river_net.shp: - OBJECTID, identifier of the river section. - REX, country (ES, Spain; FR, France; AD, Andorra). - STRAHLER, order of the river reach, according to Strahler's classification. demarcations.shp: - NOM_DEMAR, name of the river basin district. - ORG_CUENCA, responsible body. - CENTRO_DIR, directing center. - DIRECCION, Address. - WEB, web page. - TELEPHONE, telephone. joints.shp: - Basin, river basin district to which it belongs. Name, name of the exploitation board. - Area_km2, surface, in km^2. usage_global.shp: - Name, name of the exploitation board. - U_tot_av, uso del agua promedio anual, en Mm^3 (hm^3). uso_agri.shp: - Name, nombre de la junta de explotación. - U_agr_av, uso del agua promedio anual en el sector agrícola, en Mm^3 (hm^3). - U_agr_av_p, uso del agua promedio anual en el sector agrícola, porcentaje sobre el uso total. uso_dom.shp: - Name, nombre de la junta de explotación. - U_dom_av, uso del agua promedio anual para abastecimiento, en Mm^3 (hm^3). - U_dom_av_p, uso del agua promedio anual para abastecimiento, porcentaje sobre el uso total. uso_ind.shp: - Name, nombre de la junta de explotación. - U_ind_av, uso del agua promedio anual industrial, en Mm^3 (hm^3). - U_ind_av_p, uso del agua promedio anual industrial, porcentaje sobre el uso total. origen_sub.shp: - Name, nombre de la junta de explotación. - U_und_av, uso del agua de origen subterráneo, promedio anual, en Mm^3 (hm^3). - U_und_av_p, uso del agua de origen subterráneo, promedio anual, porcentaje sobre el uso total. origen_sup.shp: - Name, nombre de la junta de explotación. - U_sup_av, uso del agua de origen superficial, promedio anual, en Mm^3 (hm^3). - U_sup_av_p, uso del agua de origen superficial, promedio anual, porcentaje sobre el uso total. cap_embalsado.shp: - Name, nombre de la junta de explotación. - Reservoirs, número de embalses. - Res_hm3, capacidad de embalsado total, en Mm^3 (hm^3). - Capacity, capacidad de embalsado, en clases. dom_ski.shp: - Name, nombre de la junta de explotación. - Ski_num, número de estaciones de esquí. - Ski_km, dominio esquiable total, en km. - Ski_prod_%, dominio esquiable con producción de nieve artificial, en porcentaje sobre el dominio esquiable total. prod_hydro.shp: - Name, nombre de la junta de explotación. - Hydropow_num, número de centrales hidroeléctricas. - Hydropow _MW, potencia instalada, en MW. - Hydropow_GWh, producción media anual, en GWh. reservoirs.shp: - NOMBRE, nombre del embalse. zonas_protegidas.shp: - Name, nombre de la zona protegida. - type, tipo de figura de protección, en la lengua vernácula. - typeEnglish, tipo de figura de protección, en inglés. - legalRef, referencia legal. - legalDoc, documento legal. - legalFound, fecha de inicio de la figura de protección. - Authority, autoridad competente. - Leyenda, tipo de figura de protección, agrupado en clases principales. - Country, país (ES, España; FR, Francia; AD, Andorra)., No

Proyecto: //
DOI: http://hdl.handle.net/10261/269577, https://doi.org/10.20350/digitalCSIC/14641
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269577
HANDLE: http://hdl.handle.net/10261/269577, https://doi.org/10.20350/digitalCSIC/14641
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269577
PMID: http://hdl.handle.net/10261/269577, https://doi.org/10.20350/digitalCSIC/14641
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269577
Ver en: http://hdl.handle.net/10261/269577, https://doi.org/10.20350/digitalCSIC/14641
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269577

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270751
Dataset. 2022

PIRAGUA_INDICATORS [DATASET]

  • Zabaleta, Ane
  • Beguería, Santiago
  • Antigüedad, Iñaki
  • Lambán, Javier
  • Hakoun, Vivien
  • Jung, Mathilde
  • Le Cointe, Pierre
  • Caballero, Yvan
  • POCTEFA-PIRAGUA Team
[EN] Contains seven compressed folders (.zip). Two of them are shapefiles (.shp; requires a specific Geographic Information System GIS software); four are data tables in plain text (.csv) and the other is a collection of PDF files. There is also a file (Readme) with information related to the dataset contain., [ES] Contiene siete archivos comprimidos (.zip). Dos de ellos son shapefiles (.shp; requiere software específico para Sistemas de Información Geográfica, SIG); cuatro son tablas de datos en texto plano (.csv) y el otro una colección de archivos PDF. Además, hay un archivo (Readme) con información relacionada con el contenido del dataset., [EN] Daily streamflow and aquifer level indicators during the period 1950-2019 and trend analysis, generated within the project EFA210/16 PIRAGUA Project ("Evaluation and prospective of the water resources of the Pyrenees in a context of climate change, and adaptation measures with impact on the territory")., [ES] Indicadores de caudales diarios y niveles de acuífero durante el periodo 1950-2019, y análisis de tendencias, generada en el contexto del proyecto EFA210/16 PIRAGUA ("Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio")., [FR] Indicateurs des débits journaliers et niveaux des aquifères sur la période 1950-2019, et analyse des tendances, générées dans le cadre du projet EFA210/16 PIRAGUA ("Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d'adaptation ayant un impact sur le territoire")., This dataset was developed within the project EFA210/16 PIRAGUA (“Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio / Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d’adaptation avec un impact sur le territoire”), co-funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain France Andorra program (POCTEFA 2014-2020) (65%) and the project’s partners: CSIC, UPV/EHU, UB, OE, IGME, CNRS, BRGM, INRAE and OBSA (35%)., Files in the data set: - streamflow_means.txt: average values of daily streamflow indices at selected gauging stations over different epochs (1950-2019, 1960-2019, to 2000-2019). - streamflow_trends.txt: trends of daily streamflow indices at selected gauging stations over different epochs (1950-2019, 1960-2019, to 2000-2019). - streamflow_station_reports.zip: individual station streamflow reports in PDF format, organized by time frames (1950-2019, 1960-2019, to 2000-2019). - streamflow_maps_trends.zip: streaflow maps in PDF format summarizing the results of trend analysis. - groundwater_means.txt: average values of groundwater indices at selected gauging stations over different epochs (1950-2019, 1960-2019, to 2000-2019). - groundwater_trends.txt: trends of groundwater indices at selected gauging stations over different epochs (1950-2019, 1960-2019, to 2000-2019). - groundwater_station_reports.zip: individual station groundwater reports in PDF format, organized by time frames (1950-2019, 1960-2019, to 2000-2019). - groundwater_maps_trends.zip: groundwater maps in PDF format summarizing the results of trend analysis. - gis.zip: shapefiles with the locations of the gauging stations, their upstream catchment, groundwater level stations, and aquifers., Variables in data files: - time: temporal support of the data (Annual, January, ..., December). - station: gauging station id, corresponds to the id in the shapefile. - index: streamflow index (see below list of indices). - units: units, either absolute (m3 s-1) or relative (mm). - epoch: temporal window over which the index has been calculated. One of (1950-2019, 1960-2019, 1970-2019, 1980-2019, 1990-2019, 200-2019). - value: index value. Only in file streamflow_means.txt. - trend: trend magnitude, according to the Theil-Sen's method (m3 s-1 or mm per decade). Only in file streamflow_trends.txt. - trend_r: trend magnitude, according to the Theil-Sen's method (m3 s-1 / m3 s-1 or mm / mm per decade). Only in file streamflow_trends.txt. - sig: significance of the trend, according to (pre-whitenned) Kendall test. Only in file streamflow_trends.txt., Indices: - mean: mean daily streamflow (m3 s-1 mean: mean daily streamflow (m3 s-1 or mm). - sd: standard deviation of daily streamflow (m3 s-1 or mm). - max: maximum daily streamflow (m3 s-1 or mm). - min: maximum daily streamflow (m3 s-1 or mm). - q10: 10th percentile of daily streamflow (m3 s-1 or mm). - q25: 25th percentile of daily streamflow (m3 s-1 or mm). - q50: 50th percentile of daily streamflow (median) (m3 s-1 or mm). - 75: 75th percentile of daily streamflow (m3 s-1 or mm). - q90: 90th percentile of daily streamflow (m3 s-1 or mm). - iqr: inter-quartile range (q75-q25) (m3 s-1 or mm). - uqr: upper-quartile range (q75-q50) (m3 s-1 or mm). - lqr: lower-quartile range (q50-q25) (m3 s-1 or mm). - qsk: quantile skewness, (uqr-lqr); >0 for right skewness [-1, 1]. - idr: inter-decile range (q90-q10) (m3 s-1 or mm). - dsk: decile skewness, ((q90-q50)-(q50-q10))/(q90-q10); >0 for right skewness [-1, 1]. - dku: decile kurtosis, ((q90-q10))or(q70-q25)). - vcn3: baseflow index, daily minimum streamflow averaged over 3 consecutive days (m3 s-1 or mm). - vcn7: baseflow index, daily minimum streamflow averaged over 7 consecutive days (m3 s-1 or mm). - rl20: streamflow corresponding to a 20-years return period (m3 s-1 or mm)., No

Proyecto: //
DOI: http://hdl.handle.net/10261/270751, https://doi.org/10.20350/digitalCSIC/14658
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270751
HANDLE: http://hdl.handle.net/10261/270751, https://doi.org/10.20350/digitalCSIC/14658
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270751
PMID: http://hdl.handle.net/10261/270751, https://doi.org/10.20350/digitalCSIC/14658
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270751
Ver en: http://hdl.handle.net/10261/270751, https://doi.org/10.20350/digitalCSIC/14658
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/270751

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271433
Dataset. 2022

PIRAGUA_HYDRO_ANALYSIS [DATASET]

  • Beguería, Santiago
  • Palazón Tabuenca, Leticia
  • Grusson, Youen
  • Sánchez Pérez, José Miguel
  • Sauvage, Sabine
  • Cakir, Roxelane
  • Quintana-Seguí, Pere
  • Barella, Anaïs
  • Vidal, Jean-Philippe
  • POCTEFA-PIRAGUA Team
[EN] Contains five compressed folders (.zip): one with shapefiles (.shp; requires a specific Geographic Information System GIS software) and four data tables in plain text (.csv). One PDF file explains the dataset details., [ES] Contiene cinco carpetas comprimidas (.zip): uno con shapefiles (.shp; requiere software específico para Sistemas de Información Geográfica, SIG) y cuatro tablas de datos en texto plano (.csv). Un archivo PDF explica el contenido del conjunto de datos., [EN] Geospatial information on the water balance components and river discharge over the Pyrenees for the period 1981-2010. The data is based on the application of two hydrological models (SWAT and SASER), forced with the PIRAGUA_atmos_analysis dataset. It includes information on the following variables: temperature, precipitation, snowfall, snowmelt, potential evapotranspiration, actual evapotranspiration, soil water storage, snowpack, aquifer recharge, runoff generation and river discharge. The temporal resolution is monthly, and the spatial aggregation is at the level of hydrographic sub-basins. The dataset was generated within the project EFA210/16 PIRAGUA Project ("Evaluation and prospective of the water resources of the Pyrenees in a context of climate change, and adaptation measures with impact on the territory")., [ES] Información geoespacial sobre componentes del balance hídrico y caudales sobre los Pirineos para el periodo 1981-2010. Los datos se basan en la aplicación de dos modelos hidrológicos (SWAT y SASER), forzados con el conjunto de datos PIRAGUA_atmos_analysis. Incluye información sobre las siguientes variables: temperatura, precipitación, innivación, fusión nival, evapotranspiración potencial, evapotranspiración real, almacenamiendo de agua en el suelo, paquete de nieve, recarga de acuífero, generación de escorrentía y caudales. La resolución temporal es mensual, y la agregación espacial es a nivel de sub-cuencas hidrográficas. El conjunto de datos fue generado en el contexto del proyecto EFA210/16 PIRAGUA ("Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio")., [FR] Information géospatiale sur les composantes du bilan hydrique et débits fluviales sur les Pyrénées pour la période 1981-2010. Les données sont basées sur l'application de deux modèles hydrologiques (SWAT et SASER), forcés avec le jeu de données PIRAGUA_atmos_analysis. Il comprend des informations sur les variables suivantes : température, précipitations, chutes de neige, fonte des neiges, évapotranspiration potentielle, évapotranspiration réelle, stockage de l'eau dans le sol, manteau neigeux, recharge de l'aquifère, génération de ruissellement et débits. La résolution temporelle est mensuelle, et l'agrégation spatiale se fait au niveau des sous-bassins hydrographiques. Le jeu de données a été généré dans le cadre du projet EFA210/16 PIRAGUA ("Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d'adaptation ayant un impact sur le territoire")., This dataset was developed within the project EFA210/16 PIRAGUA (“Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio / Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d’adaptation avec un impact sur le territoire”), co-funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain France Andorra program (POCTEFA 2014-2020) (65%) and the project’s partners: CSIC, UPV/EHU, UB, OE, IGME, CNRS, BRGM, INRAE and OBSA (35%)., Files in the data set: - PIRAGUA_hydro_analysis_s-mode: Average values of the water cycle components for the period 1981-2010, at the sub-basin (water bodies catchments) spatial scale. - PIRAGUA_hydro_analysis_t-mode: Annual time series of the water cycle components at the annual or monthly scale, at the Pyrenees, basin or sub-basin spatial scales. - GIS: Arc-GIS shapefiles of the different spatial aggregation scales: Pyrenees, basins, sub-basins, and stream reaches. The id field in each shapefile allows matching the spatial units with the data files., Data fields (columns): Common fields: - month: month, one of ('annual', 1:12). - mod_hydro: one of ('SWAT', 'SASER'). - variable: one of ('PRECIP', 'SNOFALL', 'SNOMELT', 'TMPAV', 'ET', 'PET', 'ETPET', 'SW', 'SWE', 'DARCHG', 'WYLD', 'SNOWYLD', 'CONTRIB_CMS', 'CONTRIB_HM3'). See variable explanation below. - value: data value. - units: one of ('mm', 'ºC', 'mm/mm', 'm3/s', 'Mm3'). Only in in s-mode file: - id: identifier of the spatial unit (sub-basins) that matches the ids on files basins.shp and subbasins.shp. - horizon: always '1981-2010'. - support: spatial support, one of ('Pyrenees', 'AD', 'ES', 'FR', [basin names]). - area: area of the sub-basin, in km^2. Only in t-mode file: - year: year. - date: date, in year-month-day format. - monthabb: month abbreviation., Water balance variables: (Files: PIRAGUAhydroanalysis_s-mode, PIRAGUAhydroanalysis_t-mode) - PRECIP: precipitacion, sum of liquid and solid over time period (mm). - SNOFALL: snowfall (solid precipitation), total over time period (mm). - SNOMELT: snowmelt, total over time period (mm). - TMP_AV: daily mean temperature, average over time period (ºC). - TMP_MX: daily maximum temperature, average over time period (ºC). - TMP_MN: daily minimum temperature, average over time period (ºC). - ET: real evapotranspiration, total over time period (mm). - PET: potential evapotranspiration, total over time period (mm). - ET_PET: ratio of real over potential evapotranspiration (mm/mm). - SW: soil water, mean storage over time period (mm). - SWE: snow water equivalent, mean over time period (mm). - DA_RCHG: deep aquifer recharge, total over time period (mm). - WYLD: water yield, total over time period (mm). - SNO_WYLD: contribution of snowmelt to total water yield (mm/mm). - CONTRIB_CMS: mean discharge at the sub-basins' outlet (m^3 / s). - CONTRIB_HM3: mean contribution at the sub-basins' outlet (Mm^3)., Transformation to other units: - mm to mm/day: value_mm_day = value_mm / ndays_in_month_year. - mm to hm3: value_hm3 = value_mm * 1000000 * area_in_km2 * 1.0e-09. - mm to m3/s: value_m3_s = value_mm_day * 1000000 * area_in_km2 * 1.2e-08., Shapefiles in the GIS directory: - pyrenees.shp: polygon shapefile with the limits of the study area. - basins.shp: polygon shapefile with the limits of the river basins, corresponding to field id in the s-mode data file. - subbasins.shp: polygon shapefile with the limits of the river basins, corresponding to field id in the s-mode data file. - reaches.shp: line shapefile with the river reaches, corresponding to field id in the s-mode data file., No

Proyecto: //
DOI: http://hdl.handle.net/10261/271433, https://doi.org/10.20350/digitalCSIC/14667
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271433
HANDLE: http://hdl.handle.net/10261/271433, https://doi.org/10.20350/digitalCSIC/14667
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271433
PMID: http://hdl.handle.net/10261/271433, https://doi.org/10.20350/digitalCSIC/14667
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271433
Ver en: http://hdl.handle.net/10261/271433, https://doi.org/10.20350/digitalCSIC/14667
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271433

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271451
Dataset. 2022

PIRAGUA_HYDRO_CLIMATE [DATASET]

  • Beguería, Santiago
  • Palazón Tabuenca, Leticia
  • Grusson, Youen
  • Sánchez Pérez, José Miguel
  • Sauvage, Sabine
  • Cakir, Roxelane
  • Quintana-Seguí, Pere
  • Barella, Anaïs
  • Vidal, Jean-Philippe
  • POCTEFA-PIRAGUA Team
[EN] Contains five compressed folders (.zip): one with shapefiles (.shp; requires a specific Geographic Information System GIS software) and four data tables in plain text (.csv). One PDF file explains the dataset details., [ES] Contiene cinco carpetas comprimidas (.zip): uno con shapefiles (.shp; requiere software específico para Sistemas de Información Geográfica, SIG) y cuatro tablas de datos en texto plano (.csv). Un archivo PDF explica el contenido del conjunto de datos., [EN] Geospatial information on the water balance components over the Pyrenees under climate change, covering the period 1981-2100. The data is based on the application of two hydrological models (SWAT and SASER), forced with the climate projections in the PIRAGUA_atmos_climate dataset. It includes information on the following variables: temperature, precipitation, snowfall, snowmelt, potential evapotranspiration, actual evapotranspiration, soil water storage, snowpack, aquifer recharge, and runoff generation. The temporal resolution is monthly, and the spatial aggregation is at the level of hydrographic sub-basins. The dataset was generated within the project EFA210/16 PIRAGUA Project ("Evaluation and prospective of the water resources of the Pyrenees in a context of climate change, and adaptation measures with impact on the territory")., [ES] Información geoespacial sobre componentes del balance hídrico sobre los Pirineos en condiciones de cambio climático, para el periodo 1981-2100. Los datos se basan en la aplicación de dos modelos hidrológicos (SWAT y SASER), forzados con las proyecciones climáticas del conjunto de datos PIRAGUA_atmos_climate. Incluye información sobre las siguientes variables: temperatura, precipitación, innivación, fusión nival, evapotranspiración potencial, evapotranspiración real, almacenamiendo de agua en el suelo, paquete de nieve, recarga de acuífero, y generación de escorrentía. La resolución temporal es mensual, y la agregación espacial es a nivel de sub-cuencas hidrográficas. El conjunto de datos fue generado en el contexto del proyecto EFA210/16 PIRAGUA ("Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio")., [FR] Information géospatiale sur les composantes du bilan hydrique des Pyrénées dans des conditions de changement climatique, pour la période 1981-2100. Les données sont basées sur l'application de deux modèles hydrologiques (SWAT et SASER), forcés avec les projections climatiques du jeu de données PIRAGUAatmosclimate. Il comprend des informations sur les variables suivantes : température, précipitations, chutes de neige, fonte des neiges, évapotranspiration potentielle, évapotranspiration réelle, stockage de l'eau dans le sol, manteau neigeux, recharge de l'aquifère et génération de ruissellement. La résolution temporelle est mensuelle, et l'agrégation spatiale se fait au niveau des sous-bassins hydrographiques. Le jeu de données a été généré dans le cadre du projet EFA210/16 PIRAGUA ("Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d'adaptation ayant un impact sur le territoire")., This dataset was developed within the project EFA210/16 PIRAGUA (“Evaluación y prospectiva de los recursos hídricos de los Pirineos en un contexto de cambio climático, y medidas de adaptación con impacto en el territorio / Evaluation et prospective des ressources en eau des Pyrénées dans un contexte de changement climatique, et mesures d’adaptation avec un impact sur le territoire”), co-funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain France Andorra program (POCTEFA 2014-2020) (65%) and the project’s partners: CSIC, UPV/EHU, UB, OE, IGME, CNRS, BRGM, INRAE and OBSA (35%)., Files in the data set: - PIRAGUA_hydro_climate_s-mode: Average values of the main water cycle components computed at different time horizons during the 21st century (short, medium and long term), together with the corresponding reference values (average over period 1981-2010), and absolute and relative change with respect to the reference period, at the sub-basin (water bodies catchments) spatial scale, for six different GCM/RCMs and two hydrological models. - PIRAGUA_hydro_climate_t-mode: Annual time series of the main water cycle components at the annual or monthly temporal scale, at the Pyrenees, basin or sub-basin spatial scales, for six different GCM/RCMs and two hydrological models. - GIS: shapefiles of the different spatial aggregation scales: Pyrenees, basins, sub-basins, and stream reaches. The id field in each shapefile allows matching the spatial units with the data files., Data fields (columns): Common fields: - month: month, one of ('annual', 1:12). - mod_hydro: one of ('SWAT', 'SASER'). - model: GCM/RCM model, one of ('bcc-csm1-1', 'CNRM-CM5', 'inmcm4', 'MIROC-ESM', 'MPI-ESM-MR', 'MRI-CGCM3'), or 'median' for the median of the six GCM/RCM (only in s-mode), or one of ('q10', 'q50', 'q90') for 10, 50 (median) and 90 quantiles (only in t-mode). - scenario: emissions scenario, one ov ('HISTORICAL', 'RCP45', 'RCP85'). - variable: one of ('PRECIP', 'SNOFALL', 'SNOMELT', 'TMPAV', 'ET', 'PET', 'ETPET', 'SW', 'SWE', 'DARCHG', 'WYLD', 'SNOWYLD', 'CONTRIB_CMS', 'CONTRIB_HM3'). See variable explanation below. - value: data value corresponding to the horizon / scenario / mod_hydro. - delta.absolute: change between value and value.hist in absolute units. - delta.relative: change between value and value.hist in relative units. - units: one of ('mm', 'ºC', 'mm/mm', 'm3/s', 'Mm3'). Only in in s-mode file: - id: identifier of the spatial unit (sub-basins) that matches the ids on file subbasins.shp. - horizon: always '1981-2010'. - support: spatial support, one of ('Pyrenees', 'AD', 'ES', 'FR', [basin names]). - area: area of the sub-basin, in km^2. - value.hist: reference value during the historical period (1981-2010). Only in in t-mode file: - year: year. - monthabb: month abbreviation. - date: date, in year-month-day format., Variables: - PRECIP: precipitacion, sum of liquid and solid over time period (mm). - SNOFALL: snowfall (solid precipitation), total over time period (mm). - SNOMELT: snowmelt, total over time period (mm). - TMP_AV: daily mean temperature, average over time period (ºC). - TMP_MX: daily maximum temperature, average over time period (ºC). - TMP_MN: daily minimum temperature, average over time period (ºC). - ET: real evapotranspiration, total over time period (mm). - PET: potential evapotranspiration, total over time period (mm). - ET_PET: ratio of real over potential evapotranspiration (mm/mm). - SW: soil water, mean storage over time period (mm). - SWE: snow water equivalent, mean over time period (mm). - DA_RCHG: deep aquifer recharge, total over time period (mm). - WYLD: water yield, total over time period (mm). - SNO_WYLD: contribution of snowmelt to total water yield (mm/mm). - CONTRIB_CMS: mean discharge at the sub-basins' outlet (m^3 / s). - CONTRIB_HM3: mean contribution at the sub-basins' outlet (Mm^3)., Transformation to other units: - mm to mm/day: value_mm_day = valuemm / ndays_in_month_year. - mm to hm3: value_hm3 = value_mm * 1000000 * area_in_km2 * 1.0e-09. - mm to m3/s: value_m3_s = value_mm_day * 1000000 * area_in_km2 * 1.2e-08., Shapefiles in the GIS directory: - pyrenees.shp: polygon shapefile with the limits of the study area. - basins.shp: polygon shapefile with the limits of the river basins, corresponding to field id in the s-mode data file. - subbasins.shp: polygon shapefile with the limits of the river basins, corresponding to field id in the s-mode data file. - reaches.shp: line shapefile with the river reaches, corresponding to field id in the s-mode data file., No

Proyecto: //
DOI: http://hdl.handle.net/10261/271451, https://doi.org/10.20350/digitalCSIC/14668
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271451
HANDLE: http://hdl.handle.net/10261/271451, https://doi.org/10.20350/digitalCSIC/14668
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271451
PMID: http://hdl.handle.net/10261/271451, https://doi.org/10.20350/digitalCSIC/14668
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271451
Ver en: http://hdl.handle.net/10261/271451, https://doi.org/10.20350/digitalCSIC/14668
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271451

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