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Eulogio Pardo Igúzquiza

Investigador

Dirección de contacto: Instituto de Geociencias - IGEO (CSIC-UCM). C/Doctor Severo Ochoa 7. Edificio Entrepabellones 7 y 8, planta 4ª. 28040 Madrid (España).

Email: e.pardo.iguzquiza@csic.es 
Teléfono: +34913944901

Departamento: Dinámica Terrestre y Observación de la Tierra

Grupo de investigación: GEGRAGE

Identificadores


  • Scopus author: 7003627452

  • ORCID: 0000-0002-3865-8639

Perfil profesional

Eulogio Pardo Igúzquiza es licenciado en Ciencias Geológicas (1986) y Doctor en Ciencias Geológicas por la Universidad de Granada. Asimismo, tiene un Diploma en Estadística e Investigación Operativa por la misma Universidad. Eulogio ha sido Profesor Ayudante (Universidad de Granada), Profesor Asociado (Universidad de Granada), Profesor Titular Interino (Universidad Politécnica de Cataluña) y Profesor Titular en la Universidad de Granada. En cuanto a la investigación postdoctoral, Eulogio ha sido Becario Postdoctoral en el Extranjero del Ministerio de Educación y Ciencia (EEUU e Inglaterra), Becario Marie Curie (Inglaterra), Becario Ramón y Cajal (España) y Becario del Engineering and Physical Sciences Research Council (EPSRC) en Inglaterra. Su investigación se desarrolla en los campos de la geoestadística, las geomatemáticas, la geología cuantitativa, la informática geológica y los métodos numéricos y estadísticos en geología. Durante nueve años fue el Editor Principal del Boletín Geológico y Minero, revista década de la geología en España.

Aportaciones más relevantes

  • Pardo-Igúzquiza, E., Dowd, P.A., 2024. Inference of the Gutenberg-Richter b-value: New insights and results. Tectonophysics, 890, 230486. DOI: https://doi.org/10.1016/j.tecto.2024.230486.
  • Luque-Espinar, J.A., López-Chicano, M., Pardo-Igúzquiza, E. and Chica-Olmo, M., 2024. Using numerical methods for map the spatiotemporal geogenic and anthropogenic influences on the groundwater in a detrital aquifer in south Spain. Journal of Environmental Management, 255, 120442, 1-12. DOI: https://doi.org/10.1016/j.jenvman.2024.120442
  • Pardo-Igúzquiza, E., Montillet, J.-P., Sánchez-Morales, J., Dowd, P.A., Luque-Espinar, J.A., Darbeheshti, N. and Rodríguez-Tovar, F.J., 2023. Assessing Terrestrial Water Storage Variations in Southern Spain Using Rainfall Estimates and GRACE Data. Hydrology, 22 p.
    DOI: https://doi.org/10.3390/hydrology10090187
  • Collados-Lara, A. J., Pulido-Velázquez , D., L.G.B. Ruiz, L.G.B., Pegalajar, M.C., Pardo-Igúzquiza, E., Baena-Ruiz, L. , 2023. A parsimonious methodological framework for short-term forecasting of groundwater levels.
    Science of the Total Environment, 881, 163328, 15 p.
    DOI: https://doi.org/10.1016/j.scitotenv.2023.163328
  • Martin-Puertas, C., Hernandez, A., Pardo-Igúzquiza, E., Boyall  L., Brierley  C., Jiang  Z., Tjallingii, Blockley, S.P.E. and Rodríguez-Tovar, F.-J., 2023.  Dampened predictable decadal North Atlantic climate fluctuations due to ice melting.
    Nature Geoscience, 16, 357–362.
    DOI: https://doi.org/10.1038/s41561-023-01145-y
  • Sánchez-Morales, J., Pardo-Igúzquiza, E. and Rodríguez-Tovar, 2023. Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python.
    Computers & Geosciences, 175, 105342, 13 p.
    DOI: https://doi.org/10.1016/j.cageo.2023.105342
  • Collados-Lara, A.J., Gómez-Gómez, J.D., Pulido-Velázquez D. and Pardo-Igúzquiza, E., 2022. An approach to identify the best climate models for the assessment of climate change impacts on meteorological and hydrological droughts.
    Natural Hazards and Earth System Sciences, 22, 599–616.
    DOI: https://doi.org/10.5194/nhess-22-599-2022
    Factor de impacto: 4.337
  • Hidalgo-Hidalgo J.-D., Collados-Lara A.-J., Pulido-Velaázquez D., , Rueda, F.J. and Pardo-Igúzquiza, E. 2022. Analysis of the Potential Impact of Climate Change on Climatic
    Droughts, Snow Dynamics, and the Correlation between Them.
    Water, 14, 1081,1-38
    DOI: https://doi.org/10.3390/w14071081
    Factor de impacto: 3.10
  • Pardo-Igúzquiza, E. and Dowd, P., 2022. The roughness of Martian topography: a metre-scale fractal analysis of six selected areas.
    Icarus, 384, 115109, 1-14
    DOI: https://doi.org/10.1016/j.icarus.2022.115109
    Factor de impacto: 3.508
  • Collados-Lara, A.J., Baena-Ruiz, L., Pulido-Velázquez D. and Pardo-Igúzquiza, E., 2022. Data-driven mapping of hourly wind speed and its potential energy resources: A sensitivity analysis.
    Renewable Energy, 199, 87–102
    DOI: https://doi.org/10.1016/j.renene.2022.08.109
    Factor de impacto: 8.634
  • Pardo-Igúzquiza, E. and Dow, P., 2021. Identification and Delineation of the Earth’s Large-Scale Closed Terrain Depressions and Their Fractal Size Distribution.
    Mathematical Geosciences,53, 1027–1045.
    DOI: 10.1007/s11004-020-09888-9
    Factor de impacto: 2.576
  • Collados-Lara, A., Fassnacht, S.R.,  Pulido‐Velázquez, D.,  Pfohl, A.K.D.,  Morán‐Tejeda, E.,  Venable, N.B.H.,  Pardo‐Igúzquiza, E., and  Puntenney‐Desmond, K., 2021. Intra‐day variability of temperature and its near‐surface gradient with elevation over mountainous terrain: Comparing MODIS land surface temperature data with coarse and fine scale near‐surface measurements.
    International Journal of Climatology, 41 (S1), E1435-E1449.
    DOI: 10.1002/joc.6778
    Factor de impacto: 4.069
  • Collados-Lara, A.J., Pardo-Igúzquiza, E. and Pulido-Velázquez, D., 2021. Assessing the impact of climate change −and its uncertainty− on snow cover areas by using cellular automata models and stochastic weather generators.
    Science of The Total Environment, 788, 147776,
    DOI: 10.1016/j.scitotenv.2021.147776
    Factor de impacto: 7.963
  • Collados-Lara, A.J., Pardo-Igúzquiza, E., Pulido-Velázquez D. and Baena-Ruiz, L., 2021. Estimation of the monthly dynamics of surface water in wetlands from satellite and secondary hydro-climatological data.
    Remote Sensing, 13, 2380, 1-21.
    DOI: 10.3390/rs13122380
    Factor de impacto: 4.848
  • Pardo-Igúzquiza, E. and Dowd, P., 2021. Fractal analysis of the Martian landscape: A study of kilometre-scale topographic roughness.
    Icarus, 372, 114727, 1-14.
    DOI: https://doi.org/10.1016/j.icarus.2021.114727
    Factor de impacto: 3.508
  • Pardo-Igúzquiza, E., Dowd, P. and Naor, R., 2021. Automatic mapping and spatial analysis of metric-scale closed terrain depressions and mounds on Martian landscapes.
    Icarus, 369, 114632, 1-22.
    DOI: 10.1016/j.icarus.2021.114632
    Factor de impacto: 3.508
  • Jeannin, P.-Y., Artigue, G., Butscher, C., Chang, Y., Charlier, J.-B., Duran, L., Gill, L., Hartmann, A., Johannet, A., Jourde, H., Kavousi, A., Liesch, T., Liu, Y., Lüthi, M., Malard, A., Mazzilli, N., Pardo-Igúzquiza, E., Thiéry, D., Reimann, T., Schuler, P., Wöhling, T., Wunsch, A., 2021. Karst modelling challenge 1: Results of hydrological modelling.
    Journal of Hydrology, 600, 126508, 1-19.
    DOI: 10.1016/j.jhydrol.2021.126508
    Factor de impacto: 5.722
  • Collados-Lara, A.J., Pardo-Igúzquiza, E., Pulido-Velázquez, D., 2020.Optimal design of snow stake networks to estimate snow depth in an alpine mountain range.
    Hydrological Processes, 34 (1), 85-91.
    DOI: 10.1002/hyp.13574
    Factor de impacto: 3.565
  • Pardo-Igúzquiza, E., Dowd, P. and Telbisz, T. 2020. On the size-distribution of solution dolines in carbonate karst: Lognormal or power model?
    Geomorphology, 351, 106972.
    DOI: 10.1016/j.geomorph.2019.106972
    Factor de impacto: 4.139
  • Jimeno-Sáez, P., Pulido-Velázquez, D., Collados-Lara, A-J, Pardo-Igúzquiza, E., Senent-Aparicio, J. and Baena-Ruiz, L., 2020. A preliminary assessment of the “undercatching” and the precipitation pattern in an Alpine basin.
    Water, 12,1061, 1-22.
    DOI: 10.3390/w12041061
    Factor de impacto: 3.107
  • Rodríguez-Tovar, F.J., Reolid, M. and Pardo-Igúzquiza, E., 2020. Cyclic environmental changes during the Early Toarcian at the Mochras Farm Borehole (Wales): A variable response of the foraminiferal community.
    Lethaia, 54 (1), 113-126
    DOI: 10.1111/let.12392
    Factor de impacto: 2.247
  • Collados-Lara, A., Pulido-Velázquez, D and Pardo-Igúzquiza, E., 2020. A statistical tool to generate potential future climate scenarios for hydrology applications.
    Scientific Programming, Article ID 8847571, 1-10.
    DOI: 10.1155/2020/8847571
    Factor de impacto: 1.025
  • Pardo-Igúzquiza, E. and Dow, P., 2020. Identification, delineation and morphometric analysis of closed terrain depressions on Mars.
    Icarus, 348, 113869,
    DOI: 10.1016/j.icarus.2020.113869
    Factor de impacto: 3.508
  • Collados-Lara, A., Pulido-Velázquez, D., Pardo-Igúzquiza, E. and Alonso-González, E., 2020. Estimation of the spatiotemporal dynamic of snow water equivalent at mountain range scale under data scarcity.
    STOTEN, 741, 140485
    DOI: 10.1016/j.scitotenv.2020.140485
    Factor de impacto: 7.963
  • Jorreto-Zaguirre, S., Dowd, P.A., Pardo-Igúzquiza, E., Pulido-Bosch, A. and Sánchez-Martos, F., 2020. Stochastic simulation of The Spatial Heterogeneity of Deltaic Hydrofacies Accounting for the Uncertainty of Facies Proportions.
    Frontiers in Earth Science, Volume 8, Article 563122,
    DOI: 10.3389/feart.2020.563122
    Factor de impacto: 3.498
  • Collados-Lara, A., Fassnacht, S.R., Pardo-Igúzquiza, E. and Pulido-Velázquez, D., 2020. Assessment of High Resolution Air Temperature Fields at Rocky Mountain National Park by Combining Scarce Point
    Measurements with Elevation and Remote Sensing Data.
    Remote Sensing, 13,113, 1-26.
    DOI: 10.3390/rs13010113
    Factor de impacto: 4.848
  • Pardo-Igúzquiza, E., Dowd, P, 2020. Fractal analysis of karst landscapes.
    Mathematical Geosciences, 52, 543-563.
    DOI: 10.1007/s11004-019-09803-x
    Factor de impacto: 2.576
    Veces citado en otros artículos SCI (Clarivate Analytics): 3
  • Erten, O., Pardo-Igúzquiza, E. and Olea, R.A., 2020. Assessment of Experimental Semivariogram Uncertainty in the Presence of a Polynomial Drift.
    Natural Resources Research, 29, 1087-1099.
    DOI: 10.1007/s11053-019-09496-3
    Factor de impacto: 5.146