Cristóbal López

Cristóbal López Sánchez
  • IFISC (CSIC-UIB)
  • Campus Universitat de les Illes Balears
    E-07122 Palma de Mallorca. Spain
  • Oficina 203
  • +34 971 17 26 68
  • Contact
Perfil
Research interests: Statistical Physics, Nonlinear Phenomena and Complex Systems in general. Applications to transport in fluids, biological modelling and oceanic processes.

Google scholar:

Scopus ID: 7401493306

Researcher ID: R-5410-2018

Orcid: 0000-0002-3445-4284



UIB page: https://www.uib.eu/personal/ABTE3NzI5/

Publicacions recents

Integrating theory and experiments to link local mechanisms and ecosystem-level consequences of vegetation patterns in drylands

Martinez-Garcia, Ricardo; Cabal, Ciro; Calabrese, Justin M.; Hernandez-Garcia, Emilio; Tarnita, Corina E.; Lopez, Cristobal; Bonachela, Juan A.
Chaos, Solitons and Fractals 166, 112881 (1-13) (2023)

Liquid-Hexatic-Solid phases in active and passive Brownian particles determined by stochastic birth and death events

Almodovar, Alejandro; Galla, Tobias; López, Cristóbal
Physical Review E 106, 054130 (2022)

Spatial effects in parasite induced marine diseases of immobile hosts

Giménez-Romero, Àlex; Vázquez, Federico; López, Cristóbal; Matías, Manuel A.
Royal Society Open Science 9, 212023 (1-14) (2022)

Precipitation sources and moisture transport in atmospheric rivers from a Lagrangian perspective

Crespo, Alfredo (Supervisors: Hernandez-Garcia, Emilio and Lopez, Cristobal)
Master Thesis (2022)

Pulsed interaction signals as a route to biological pattern formation

Colombo, Eduardo H.; Lopez, Cristobal; Hernandez-Garcia, Emilio
Submitted (2022)

Projectes de recerca recents i vigents

CAFE

Climate Advanced Forecasting of sub-seasonal Extremes

I.P.: Emilio Hernández-García
CAFE is a Marie Skłodowska-Curie Innovative Training Network, funded by theEuropean Union’s Horizon 2020 research and innovation programme Climate extremes such as heat waves or tropical storms have huge social and economic ...

SEDIMENT

SEagrass DIversity in the MEditerranean basin in a global change scenario: a machine learNing approach from saTellite images

I.P.: Manuel Matías, Tomás Sintes
The main challenge of this project is to correlate the changes in the sea surface temperature (SST) in the Mediterranean basin with the spatial distribution and size of different seagrass species. We ...

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