The role of secondary data in estimating groundwater levels in the Iberian Peninsula

dc.contributor.affiliationDepartamento de Ingeniería Hidráulica y Medio Ambiente
dc.contributor.affiliationInstituto Universitario de Ingeniería del Agua y del Medio Ambiente
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
dc.contributor.authorBen-Salem, Nahedes_ES
dc.contributor.authorRouhani, Amires_ES
dc.contributor.authorCopty, Nadim K.es_ES
dc.contributor.authorVarouchakis, Emmanouil A.es_ES
dc.contributor.authorGómez-Hernández, J. Jaime
dc.contributor.authorKaratzas, George P.es_ES
dc.contributor.authorRode, Michaeles_ES
dc.contributor.authorJomaa, Seifeddinees_ES
dc.contributor.funderFUNDACION PRIMAes_ES
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderBundesministerium für Bildung und Forschung, Alemaniaes_ES
dc.date.accessioned2026-03-11T11:39:53Z
dc.date.available2026-03-11T11:39:53Z
dc.date.issued2026-05es_ES
dc.description.abstract[EN] Mapping groundwater levels at the regional scale is often hindered by the lack of high-density direct head measurements. In this study, we explore the value of incorporating different secondary data with cokriging to assess the spatial variability of groundwater levels for the entire Iberian Peninsula, a region characterized by pronounced hydroclimatic variability and rising water demand. The analysis uses more than 60 years of groundwater level measurements from 3822 observation wells across the region, combined with readily available secondary data, including a digital elevation model, precipitation data, and hydrogeological information. Because of the time series length, the analysis was divided into four periods, each containing a different number of measurements. The performance of the geostatistical models was rigorously evaluated through cross-validation and statistical metrics. Results showed that for earlier periods, characterized by a limited number of observation wells, incorporating groundwater data from subsequent periods and hydrogeological information led to the most significant improvement in groundwater level mapping. Average annual precipitation data did not correlate with groundwater level data and had minimal impact on the interpolation, whereas digital elevation models had a mixed effect. Overall, the study underlines the value of incorporating secondary data through cokriging to map groundwater levels at a regional scale when in-situ data are scarce.es_ES
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationBen-Salem, N.; Rouhani, A.; Copty, NK.; Varouchakis, EA.; Gómez-Hernández, J. Jaime; Karatzas, GP.; Rode, M.... (2026). The role of secondary data in estimating groundwater levels in the Iberian Peninsula. Groundwater for Sustainable Development. 33. https://doi.org/10.1016/j.gsd.2026.101594es_ES
dc.description.referencesAhmadi, S. H., & Sedghamiz, A. (2006). Geostatistical Analysis of Spatial and Temporal Variations of Groundwater Level. Environmental Monitoring and Assessment, 129(1-3), 277-294. https://doi.org/10.1007/s10661-006-9361-zes_ES
dc.description.referencesAhmed, S., & De Marsily, G. (1987). Comparison of geostatistical methods for estimating transmissivity using data on transmissivity and specific capacity. Water Resources Research, 23(9), 1717-1737. Portico. https://doi.org/10.1029/wr023i009p01717es_ES
dc.description.referencesAllard, D. (2012). J.-P. Chilès, P. Delfiner: Geostatistics: Modeling Spatial Uncertainty: 2nd Edition. Wiley, 2012. Mathematical Geosciences, 45(3), 377-380. https://doi.org/10.1007/s11004-012-9429-yes_ES
dc.description.referencesAsante, D., Appiah-Adjei, E. K., & Asare, A. (2022). Delineation of groundwater potential zones using cokriging and weighted overlay techniques in the Assin Municipalities of Ghana. Sustainable Water Resources Management, 8(2). https://doi.org/10.1007/s40899-022-00639-8es_ES
dc.description.referencesBen-Salem, N., Reinecke, R., Copty, N. K., Jaime Gómez-Hernández, J., Varouchakis, E. A., Karatzas, G. P., Rode, M., & Jomaa, S. (2023). Mapping steady-state groundwater levels in the Mediterranean region: The Iberian Peninsula as a benchmark. Journal of Hydrology, 626, 130207. https://doi.org/10.1016/j.jhydrol.2023.130207es_ES
dc.description.referencesBierkens. (2023). Non-stationarity of groundwater systems under global change. Nat. Rev. Earth Environ.es_ES
dc.description.referencesBierkens. (2024). Global groundwater modeling and management. Nat. Rev. Earth Environ.es_ES
dc.description.referencesBrunner. (2021). Groundwater modeling at regional scale. Hydrogeol. J.es_ES
dc.description.referencesBrus. (2011). Validation of spatial prediction models: theory and practice. Int. J. Geogr. Inf. Sci.es_ES
dc.description.referencesCardoso, R. M., Soares, P. M. M., Miranda, P. M. A., & Belo‐Pereira, M. (2012). <scp>WRF</scp>high resolution simulation of Iberian mean and extreme precipitation climate. International Journal of Climatology, 33(11), 2591-2608. Portico. https://doi.org/10.1002/joc.3616es_ES
dc.description.referencesCarreira, P. M., Marques, J. M., & Nunes, D. (2014). Source of groundwater salinity in coastline aquifers based on environmental isotopes (Portugal): Natural vs. human interference. A review and reinterpretation. Applied Geochemistry, 41, 163-175. https://doi.org/10.1016/j.apgeochem.2013.12.012es_ES
dc.description.referencesCay, T., & Uyan, M. (2009). Spatial and Temporal Groundwater Level Variation Geostatistical Modeling in the City of Konya, Turkey. Water Environment Research, 81(12), 2460-2470. Portico. https://doi.org/10.2175/106143009x442961es_ES
dc.description.referencesChávez García Silva, R., Reinecke, R., Copty, N. K., Barry, D. A., Heggy, E., Labat, D., Roggero, P. P., Borchardt, D., Rode, M., Gómez-Hernández, J. J., & Jomaa, S. (2024). Multi-decadal groundwater observations reveal surprisingly stable levels in southwestern Europe. Communications Earth &amp; Environment, 5(1). https://doi.org/10.1038/s43247-024-01554-wes_ES
dc.description.referencesCustodio, E. (2002). Aquifer overexploitation: what does it mean? Hydrogeology Journal, 10(2), 254-277. https://doi.org/10.1007/s10040-002-0188-6es_ES
dc.description.referencesCustodio, E., Cabrera, M. del C., Poncela, R., Puga, L.-O., Skupien, E., & del Villar, A. (2016). Groundwater intensive exploitation and mining in Gran Canaria and Tenerife, Canary Islands, Spain: Hydrogeological, environmental, economic and social aspects. Science of The Total Environment, 557-558, 425-437. https://doi.org/10.1016/j.scitotenv.2016.03.038es_ES
dc.description.referencesCuthbert, M. O., Gleeson, T., Moosdorf, N., Befus, K. M., Schneider, A., Hartmann, J., & Lehner, B. (2019). Global patterns and dynamics of climate–groundwater interactions. Nature Climate Change, 9(2), 137-141. https://doi.org/10.1038/s41558-018-0386-4es_ES
dc.description.referencesDahlke, H. E., Brown, A. G., Orloff, S., Putnam, D., & O’Geen, T. (2018). Managed winter flooding of alfalfa recharges groundwater with minimal crop damage. California Agriculture, 72(1), 1-11. https://doi.org/10.3733/ca.2018a0001es_ES
dc.description.referencesde Graaf, I. E. M., van Beek, R. L. P. H., Gleeson, T., Moosdorf, N., Schmitz, O., Sutanudjaja, E. H., & Bierkens, M. F. P. (2017). A global-scale two-layer transient groundwater model: Development and application to groundwater depletion. Advances in Water Resources, 102, 53-67. https://doi.org/10.1016/j.advwatres.2017.01.011es_ES
dc.description.referencesde Graaf, I. E. M., Gleeson, T., (Rens) van Beek, L. P. H., Sutanudjaja, E. H., & Bierkens, M. F. P. (2019). Environmental flow limits to global groundwater pumping. Nature, 574(7776), 90-94. https://doi.org/10.1038/s41586-019-1594-4es_ES
dc.description.referencesde Graaf. (2020). Large-scale assessment of groundwater depletion. Hydrol. Earth Syst. Sci. 24.es_ES
dc.description.referencesde Marsily, G. (2020). Will We Soon Run Out of Water? Annals of Nutrition and Metabolism, 76(Suppl. 1), 10-16. Portico. https://doi.org/10.1159/000515019es_ES
dc.description.referencesDiodato, N., Seim, A., Ljungqvist, F. C., & Bellocchi, G. (2024). A millennium-long perspective on recent groundwater changes in the Iberian Peninsula. Communications Earth &amp; Environment, 5(1). https://doi.org/10.1038/s43247-024-01396-6es_ES
dc.description.referencesDöll, P., Müller Schmied, H., Schuh, C., Portmann, F. T., & Eicker, A. (2014). Global‐scale assessment of groundwater depletion and related groundwater abstractions: Combining hydrological modeling with information from well observations and GRACE satellites. Water Resources Research, 50(7), 5698-5720. Portico. https://doi.org/10.1002/2014wr015595es_ES
dc.description.referencesDowd, P. A., & Pardo-Igúzquiza, E. (2023). The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators. Mathematical Geosciences, 56(2), 387-413. https://doi.org/10.1007/s11004-023-10104-7es_ES
dc.description.referencesEbeling, P., Musolff, A., Kumar, R., Hartmann, A., & Fleckenstein, J. H. (2025). Groundwater head responses to droughts across Germany. Hydrology and Earth System Sciences, 29(13), 2925-2950. https://doi.org/10.5194/hess-29-2925-2025es_ES
dc.description.referencesErostate, M., Huneau, F., Garel, E., Ghiotti, S., Vystavna, Y., Garrido, M., & Pasqualini, V. (2020). Groundwater dependent ecosystems in coastal Mediterranean regions: Characterization, challenges and management for their protection. Water Research, 172, 115461. https://doi.org/10.1016/j.watres.2019.115461es_ES
dc.description.referencesFamiglietti, J. S. (2014). The global groundwater crisis. Nature Climate Change, 4(11), 945-948. https://doi.org/10.1038/nclimate2425es_ES
dc.description.referencesFan, Y., Li, H., & Miguez-Macho, G. (2013). Global Patterns of Groundwater Table Depth. Science, 339(6122), 940-943. https://doi.org/10.1126/science.1229881es_ES
dc.description.referencesFan. (2019). Global groundwater table depth. Science.es_ES
dc.description.referencesFerreira Branco, M., Barbosa, S. V., & Matos, J. X. (2024). Trend detection and depletion effects evidence in time series of groundwater levels in the southern sector of the left bank of the Tagus-Sado Basin (Portugal, Iberian Peninsula). Sustainable Water Resources Management, 10(3). https://doi.org/10.1007/s40899-024-01083-6es_ES
dc.description.referencesGarrido, A., Martínez-Santos, P., & Llamas, M. R. (2006). Groundwater irrigation and its implications for water policy in semiarid countries: the Spanish experience. Hydrogeology Journal, 14(3), 340-349. https://doi.org/10.1007/s10040-005-0006-zes_ES
dc.description.referencesGelati, E., Zajac, Z., Ceglar, A., Bassu, S., Bisselink, B., Adamovic, M., Bernhard, J., Malagó, A., Pastori, M., Bouraoui, F., & de Roo, A. (2020). Assessing groundwater irrigation sustainability in the Euro-Mediterranean region with an integrated agro-hydrologic model. Advances in Science and Research, 17, 227-253. https://doi.org/10.5194/asr-17-227-2020es_ES
dc.description.referencesGiese, M., Caballero, Y., Hartmann, A., & Charlier, J.-B. (2025). Trends in long-term hydrological data from European karst areas: insights for groundwater recharge evaluation. Hydrology and Earth System Sciences, 29(14), 3037-3054. https://doi.org/10.5194/hess-29-3037-2025es_ES
dc.description.referencesGimeno, L., Drumond, A., Nieto, R., Trigo, R. M., & Stohl, A. (2010). On the origin of continental precipitation. Geophysical Research Letters, 37(13). Portico. https://doi.org/10.1029/2010gl043712es_ES
dc.description.referencesGiraldo, R., Leiva, V., & Castro, C. (2023). An Overview of Kriging and Cokriging Predictors for Functional Random Fields. Mathematics, 11(15), 3425. https://doi.org/10.3390/math11153425es_ES
dc.description.referencesGleeson. (2020). Groundwater sustainability. Nat. Geosci.es_ES
dc.description.referencesGleeson. (2021). Advancing groundwater sustainability through large-scale assessment. Nat. Geosci.es_ES
dc.description.referencesGleeson, T., Wagener, T., Döll, P., Zipper, S. C., West, C., Wada, Y., Taylor, R., Scanlon, B., Rosolem, R., Rahman, S., Oshinlaja, N., Maxwell, R., Lo, M.-H., Kim, H., Hill, M., Hartmann, A., Fogg, G., Famiglietti, J. S., Ducharne, A., … Bierkens, M. F. P. (2021). GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models. Geoscientific Model Development, 14(12), 7545-7571. https://doi.org/10.5194/gmd-14-7545-2021es_ES
dc.description.referencesGong, H., Pan, Y., Zheng, L., Li, X., Zhu, L., Zhang, C., Huang, Z., Li, Z., Wang, H., & Zhou, C. (2018). Long-term groundwater storage changes and land subsidence development in the North China Plain (1971–2015). Hydrogeology Journal, 26(5), 1417-1427. https://doi.org/10.1007/s10040-018-1768-4es_ES
dc.description.referencesGringarten, E., & Deutsch, C. V. (2001). Teacher’s Aide Variogram Interpretation and Modeling. Mathematical Geology, 33(4), 507-534. https://doi.org/10.1023/a:1011093014141es_ES
dc.description.referencesHaitjema, H. M., & Mitchell‐Bruker, S. (2005). Are Water Tables a Subdued Replica of the Topography? Groundwater, 43(6), 781-786. Portico. https://doi.org/10.1111/j.1745-6584.2005.00090.xes_ES
dc.description.referencesHartmann, A., Gleeson, T., Wada, Y., & Wagener, T. (2017). Enhanced groundwater recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity. Proceedings of the National Academy of Sciences, 114(11), 2842-2847. https://doi.org/10.1073/pnas.1614941114es_ES
dc.description.referencesHe, X. L., Sonnenborg, T. O., Jørgensen, F., & Jensen, K. H. (2014). The effect of training image and secondary data integration with multiple-point geostatistics in groundwater modelling. Hydrology and Earth System Sciences, 18(8), 2943-2954. https://doi.org/10.5194/hess-18-2943-2014es_ES
dc.description.referencesHellwig, J., de Graaf, I. E. M., Weiler, M., & Stahl, K. (2020). Large‐Scale Assessment of Delayed Groundwater Responses to Drought. Water Resources Research, 56(2). Portico. https://doi.org/10.1029/2019wr025441es_ES
dc.description.referencesHengl, T., Nussbaum, M., Wright, M. N., Heuvelink, G. B. M., & Gräler, B. (2018). Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables. PeerJ, 6, e5518. Portico. https://doi.org/10.7717/peerj.5518es_ES
dc.description.referencesHerrera, S., Cardoso, R. M., Soares, P. M., Espírito-Santo, F., Viterbo, P., & Gutiérrez, J. M. (2019). Iberia01: a new gridded dataset of daily precipitation and temperatures over Iberia. Earth System Science Data, 11(4), 1947-1956. https://doi.org/10.5194/essd-11-1947-2019es_ES
dc.description.referencesHuang, Z., Pan, Y., Gong, H., Yeh, P. J. ‐F., Li, X., Zhou, D., & Zhao, W. (2015). Subregional‐scale groundwater depletion detected by GRACE for both shallow and deep aquifers in North China Plain. Geophysical Research Letters, 42(6), 1791-1799. Portico. https://doi.org/10.1002/2014gl062498es_ES
dc.description.referencesHuggins, X., Gleeson, T., Serrano, D., Zipper, S., Jehn, F., Rohde, M. M., Abell, R., Vigerstol, K., & Hartmann, A. (2023). Overlooked risks and opportunities in groundwatersheds of the world’s protected areas. Nature Sustainability, 6(7), 855-864. https://doi.org/10.1038/s41893-023-01086-9es_ES
dc.description.referencesKoch, J., Berger, H., Henriksen, H. J., & Sonnenborg, T. O. (2019). Modelling of the shallow water table at high spatial resolution using random forests. Hydrology and Earth System Sciences, 23(11), 4603-4619. https://doi.org/10.5194/hess-23-4603-2019es_ES
dc.description.referencesKumar. (2021). Evaluating groundwater controls at regional scales. Water Resour. Res.es_ES
dc.description.referencesLark. (2012). Robust estimation of variograms. Comput. Geosci.es_ES
dc.description.referencesLi. (2023). Auxiliary variable selection in groundwater interpolation. J. Hydrol.es_ES
dc.description.referencesLiu, Y., Shan, F., Yue, H., Wang, X., & Fan, Y. (2023). Global analysis of the correlation and propagation among meteorological, agricultural, surface water, and groundwater droughts. Journal of Environmental Management, 333, 117460. https://doi.org/10.1016/j.jenvman.2023.117460es_ES
dc.description.referencesLlamas, M. R., & Martínez-Santos, P. (2005). Intensive Groundwater Use: Silent Revolution and Potential Source of Social Conflicts. Journal of Water Resources Planning and Management, 131(5), 337-341. https://doi.org/10.1061/(asce)0733-9496(2005)131:5(337)es_ES
dc.description.referencesLópez‐Moreno, J. I., Vicente‐Serrano, S. M., Angulo‐Martínez, M., Beguería, S., & Kenawy, A. (2009). Trends in daily precipitation on the northeastern Iberian Peninsula, 1955–2006. International Journal of Climatology, 30(7), 1026-1041. Portico. https://doi.org/10.1002/joc.1945es_ES
dc.description.referencesLorenzo-Lacruz, J., Garcia, C., & Morán-Tejeda, E. (2017). Groundwater level responses to precipitation variability in Mediterranean insular aquifers. Journal of Hydrology, 552, 516-531. https://doi.org/10.1016/j.jhydrol.2017.07.011es_ES
dc.description.referencesMa, Z., Liu, H., Mi, Z., Zhang, Z., Wang, Y., Xu, W., Jiang, L., & He, J.-S. (2017). Climate warming reduces the temporal stability of plant community biomass production. Nature Communications, 8(1). https://doi.org/10.1038/ncomms15378es_ES
dc.description.referencesManna, F., Murray, S., Abbey, D., Martin, P., Cherry, J., & Parker, B. (2019). Spatial and temporal variability of groundwater recharge in a sandstone aquifer in a semiarid region. Hydrology and Earth System Sciences, 23(4), 2187-2205. https://doi.org/10.5194/hess-23-2187-2019es_ES
dc.description.referencesMartín-Rodríguez, J. F., Mudarra, M., De la Torre, B., & Andreo, B. (2023). Towards a better understanding of time-lags in karst aquifers by combining hydrological analysis tools and dye tracer tests. Application to a binary karst aquifer in southern Spain. Journal of Hydrology, 621, 129643. https://doi.org/10.1016/j.jhydrol.2023.129643es_ES
dc.description.referencesMartínez-de la Torre, A., & Miguez-Macho, G. (2019). Groundwater influence on soil moisture memory and land–atmosphere fluxes in the Iberian Peninsula. Hydrology and Earth System Sciences, 23(12), 4909-4932. https://doi.org/10.5194/hess-23-4909-2019es_ES
dc.description.referencesMillán, M. M., Estrela, M. J., Sanz, M. J., Mantilla, E., Martín, M., Pastor, F., Salvador, R., Vallejo, R., Alonso, L., Gangoiti, G., Ilardia, J. L., Navazo, M., Albizuri, A., Artíñano, B., Ciccioli, P., Kallos, G., Carvalho, R. A., Andrés, D., Hoff, A., … Versino, B. (2005). Climatic Feedbacks and Desertification: The Mediterranean Model. Journal of Climate, 18(5), 684-701. https://doi.org/10.1175/jcli-3283.1es_ES
dc.description.referencesMiró, J. J., Estrela, M. J., Corell, D., Gómez, I., & Luna, M. Y. (2023). Precipitation and drought trends (1952–2021) in a key hydrological recharge area of the eastern Iberian Peninsula. Atmospheric Research, 286, 106695. https://doi.org/10.1016/j.atmosres.2023.106695es_ES
dc.description.referencesMoutahir, H., Bellot, P., Monjo, R., Bellot, J., Garcia, M., & Touhami, I. (2016). Likely effects of climate change on groundwater availability in a Mediterranean region of Southeastern Spain. Hydrological Processes, 31(1), 161-176. Portico. https://doi.org/10.1002/hyp.10988es_ES
dc.description.referencesOwuor, S. O., Butterbach-Bahl, K., Guzha, A. C., Rufino, M. C., Pelster, D. E., Díaz-Pinés, E., & Breuer, L. (2016). Groundwater recharge rates and surface runoff response to land use and land cover changes in semi-arid environments. Ecological Processes, 5(1). https://doi.org/10.1186/s13717-016-0060-6es_ES
dc.description.referencesPérez, I. A., & García, M. Á. (2023). Climate change in the Iberian Peninsula by weather types and temperature. Atmospheric Research, 284, 106596. https://doi.org/10.1016/j.atmosres.2022.106596es_ES
dc.description.referencesPortoghese, I., Matarrese, R., Mirra, L., & Giannoccaro, G. (2025). Assimilating Farmers’ Behaviour in the Development of an ET-Based Irrigation Water-Accounting Model. Water Resources Management, 39(14), 7749-7774. https://doi.org/10.1007/s11269-025-04316-1es_ES
dc.description.referencesPower. (1999). Groundwater and fish insights from northern North America. Hydrol. Process. 13. doi:10.1002/(SICI)1099-1085(19990228)13:3<401::AID-HYP746>3.0.CO;2-A.es_ES
dc.description.referencesRao. (2022). A comparison of multiple methods for mapping groundwater levels in the Mu Us Sandy Land, China. J. Hydrol. Reg. Stud. 43.es_ES
dc.description.referencesRavish, S., Setia, B., Deswal, S., Puri, V., Singh, B., Sharma, K., & Yadav, A. K. (2025). Improving the estimation precision of the mapping of groundwater salinity by employing the Indicator Kriging Technique. Applied Water Science, 15(7). https://doi.org/10.1007/s13201-025-02512-3es_ES
dc.description.referencesRefsgaard. (2021). Distributed hydrological modeling for groundwater recharge evaluation. Water Resour. Res.es_ES
dc.description.referencesRios‐Entenza, A., Soares, P. M. M., Trigo, R. M., Cardoso, R. M., & Miguez‐Macho, G. (2014). Moisture recycling in the Iberian Peninsula from a regional climate simulation: Spatiotemporal analysis and impact on the precipitation regime. Journal of Geophysical Research: Atmospheres, 119(10), 5895-5912. Portico. https://doi.org/10.1002/2013jd021274es_ES
dc.description.referencesRodríguez-Rodríguez, L., Jiménez-Sánchez, M., Domínguez-Cuesta, M. J., & Aranburu, A. (2015). Research history on glacial geomorphology and geochronology of the Cantabrian Mountains, north Iberia (43–42°N/7–2°W). Quaternary International, 364, 6-21. https://doi.org/10.1016/j.quaint.2014.06.007es_ES
dc.description.referencesRohde, M. M., Albano, C. M., Huggins, X., Klausmeyer, K. R., Morton, C., Sharman, A., Zaveri, E., Saito, L., Freed, Z., Howard, J. K., Job, N., Richter, H., Toderich, K., Rodella, A.-S., Gleeson, T., Huntington, J., Chandanpurkar, H. A., Purdy, A. J., Famiglietti, J. S., … Stella, J. C. (2024). Groundwater-dependent ecosystem map exposes global dryland protection needs. Nature, 632(8023), 101-107. https://doi.org/10.1038/s41586-024-07702-8es_ES
dc.description.referencesRouhani, A., Ben-Salem, N., D’Oria, M., Silva, R. C. G., Viglione, A., Copty, N. K., Rode, M., Barry, D. A., Gómez-Hernández, J. J., & Jomaa, S. (2025). Direct impact of climate change on groundwater levels in the Iberian Peninsula. Science of The Total Environment, 970, 179009. https://doi.org/10.1016/j.scitotenv.2025.179009es_ES
dc.description.referencesRuiz, M. C., Valdés-Abellán, J., Pla, C., Fernández-Mejuto, M., & Benavente, D. (2022). Land Cover Changes and Their Influence on Recharge in a Mediterranean Karstic Aquifer (Alicante, Spain). Land, 12(1), 128. https://doi.org/10.3390/land12010128es_ES
dc.description.referencesRusli, S. R., Bense, V. F., Mustafa, S. M. T., & Weerts, A. H. (2024). The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability. Hydrology and Earth System Sciences, 28(22), 5107-5131. https://doi.org/10.5194/hess-28-5107-2024es_ES
dc.description.referencesRuybal. (2022). Regional-scale groundwater surface mapping. J. Hydrol.es_ES
dc.description.referencesSomers, L. D., & McKenzie, J. M. (2020). A review of groundwater in high mountain environments. WIREs Water, 7(6). Portico. https://doi.org/10.1002/wat2.1475es_ES
dc.description.referencesTularam. (2024). Climate drivers of groundwater recharge under semi-arid to Mediterranean conditions. J. Arid Environ.es_ES
dc.description.referencesWada, Y., van Beek, L. P. H., van Kempen, C. M., Reckman, J. W. T. M., Vasak, S., & Bierkens, M. F. P. (2010). Global depletion of groundwater resources. Geophysical Research Letters, 37(20). Portico. https://doi.org/10.1029/2010gl044571es_ES
dc.description.referencesXiao, H., Tang, Y., Li, H., Zhang, L., Ngo-Duc, T., Chen, D., & Tang, Q. (2021). Saltwater intrusion into groundwater systems in the Mekong Delta and links to global change. Advances in Climate Change Research, 12(3), 342-352. https://doi.org/10.1016/j.accre.2021.04.005es_ES
dc.description.referencesZhang. (2019). Upscaling groundwater processes in large-scale models. Water Resour. Res.es_ES
dc.description.referencesZimmerman. (2006). Optimal prediction of spatial random fields. J. Stat. Plan. Inference.es_ES
dc.description.referencesZimmerman. (2020). Spatial statistical modeling. Stat. Sci.es_ES
dc.description.sponsorshipThis work was supported by the German Federal Ministry of Edu-cation and Research (BMBF, Germany, Grant number 01DH19015) under the Project Sustain-COAST, co-funded by the EU PRIMA 2018 program. This work was also supported by the Our MED PRIMA Program project funded by the European Union's Horizon 2020 Research and Innovation under grant agreement No. 2222.es_ES
dc.description.volume33es_ES
dc.identifier.doi10.1016/j.gsd.2026.101594es_ES
dc.identifier.eissn2352-801Xes_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/233313
dc.languageIngléses_ES
dc.publisherElsevieres_ES
dc.relation.ispartofGroundwater for Sustainable Developmentes_ES
dc.relation.pasarelaS\576179es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/BMBF//01DH19015/es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.gsd.2026.101594es_ES
dc.rightsReconocimiento - No comercial - Sin obra derivada (by-nc-nd)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectMulti-decadal analysises_ES
dc.subjectKriginges_ES
dc.subjectCokriginges_ES
dc.subjectGroundwater leveles_ES
dc.subjectGeostatisticses_ES
dc.subjectSpatial variabilityes_ES
dc.subjectIberian Peninsulaes_ES
dc.titleThe role of secondary data in estimating groundwater levels in the Iberian Peninsulaes_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublicationes_ES
person.identifier3352
person.identifier.orcid0000-0002-0720-2196
relation.isAuthorOfPublicationdc809784-2521-432b-aafd-9be1b6ebd0d8
relation.isAuthorOfPublication.latestForDiscoverydc809784-2521-432b-aafd-9be1b6ebd0d8
relation.isOrgUnitOfPublicatione8876040-9428-45e8-b805-b5bbc20e9e1e
relation.isOrgUnitOfPublication937991bf-5e71-4f67-ae2a-1fb780a35167
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upv.uuidf55626c2-0305-4791-a996-5972847843ebes_ES

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