Plinius Conference Abstracts
Vol. 19, Plinius19-112, 2026, updated on 17 Jul 2026
https://doi.org/10.5194/egusphere-plinius19-112
19th Plinius Conference on Mediterranean Risks
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 08 Oct, 10:45–11:45 (CEST), Display time Thursday, 08 Oct, 09:00–18:00| Poster hall, P5
CIMAs: A multi-source climate dataset for high-mountain environments in the Iberian Central System
Cristina Vegas Cañas1, J. Fidel González Rouco2, Esteban Rodríguez Guisado3, Ernesto Rodríguez Camino4, Rita M. Cardoso5, Luana C. Santos5,6, Jorge Navarro Montesino6, Elena García Bustamante6, Sara Madera-Sánchez6, Emilio Greciano-Zamorano3, Carlos Pereira5,7, Yolanda Luna3, Ana Morata3, Guillermo Robles-Martínez8, and José A. Hinojal9
Cristina Vegas Cañas et al.
  • 1Department of Earth Physics and Astrophysics, Geosciences Institute (IGEO, UCM–CSIC), Complutense University of Madrid (UCM), Spain.
  • 2Geosciences Institute, IGEO (UCM-CSIC), Spain.
  • 3State Meteorological Agency (AEMET), Spain.
  • 4Spanish Meteorological Association (AME), Spain.
  • 5Faculdade de Ciências, Instituto Dom Luiz (IDL), Universidade de Lisboa, 1749-016 Lisboa, Portugal
  • 6Center for Energy, Environmental and Technological Research (CIEMAT), Spain.
  • 7Portuguese Institute for Sea and Atmosphere (IPMA), Portugal.
  • 8Automatic Hydrological Information System of the Duero Basin Authority (SAIH Duero), Spain
  • 9Automatic Hydrological Information System of the Tajo Basin Authority (SAIH Tajo), Spain

The Climate research initiative for Iberian Mountain Areas (CIMAs) is a collaborative framework involving several Spanish institutions: the Spanish Meteorological Office (AEMET), Complutense University of Madrid (UCM), Institute of Geosciences (IGEO, CSIC-UCM) and CIEMAT. The main goal of the  initiative is to advance the characterization and understanding of climate variability and change in the Central System of the Iberian Peninsula. Mountain regions are particularly sensitive to climate change, however observational data in these environments remain scarce, heterogeneous and difficult to maintain. CIMAs addresses this challenge by integrating multi-source meteorological datasets from institutions with different measurement protocols, temporal resolutions and data formats, such as AEMET, the Guadarrama Monitoring Network (GuMNet), the Portuguese Meteorological Office (IPMA), hydrological agencies operating Automatic Hydrological Information Systems in Spain (SAIH Duero, SAIH Tajo) and the Portuguese National Water  Resources Information System (SNIRH).
In this work, we present the comprehensive CIMAs framework, which currently articulates three complementary lines of action. First, the development of the observational database, which includes spatial-temporal harmonization, metadata consolidation, systematic quality control, and a version-controlled architecture. Temperature and precipitation databases are currently operational, supplemented by the integration of wind and snow height products.
This robust observational dataset allows for the development and evaluation of regional climate simulations. The initiative employs WRF and HCLIM models to dynamically downscale ERA5 reanalysis up to very high resolutions (1 km) over the 1990-2025 period. These simulations successfully reduce temperature and precipitation biases over mountain areas. Ongoing developments aim to couple these regional models with the global MPI-ESM to simulate future climate scenarios driven by CMIP6 emission pathways up to the year 2300.
Moreover, CIMAs aims to translate this climate research into climate services tailored for end-users. Building upon the integrated observations and simulations, the goal is to develop tools for sustainable territorial planning, vulnerability assessment and sectoral applications such as hydrology, forestry and energy.
The CIMAs framework provides a structured, interoperable basis for integrating climate observations and simulations across high-mountain areas of the Iberian Peninsula. Supported by a dedicated web platform for data visualization and access, it offers a solid foundation for assessing simulation performance, improving regional climate knowledge, and developing actionable climate services.

How to cite: Vegas Cañas, C., González Rouco, J. F., Rodríguez Guisado, E., Rodríguez Camino, E., Cardoso, R. M., Santos, L. C., Navarro Montesino, J., García Bustamante, E., Madera-Sánchez, S., Greciano-Zamorano, E., Pereira, C., Luna, Y., Morata, A., Robles-Martínez, G., and Hinojal, J. A.: CIMAs: A multi-source climate dataset for high-mountain environments in the Iberian Central System, 19th Plinius Conference on Mediterranean Risks, Murcia, Spain, 6–9 Oct 2026, Plinius19-112, https://doi.org/10.5194/egusphere-plinius19-112, 2026.