Rubén Cruz-García

ORCID: 0000-0003-0087-9898
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About
Contact & Profiles
Research Areas
  • Arctic and Antarctic ice dynamics
  • Climate variability and models
  • Climate change and permafrost
  • Oceanographic and Atmospheric Processes
  • Atmospheric and Environmental Gas Dynamics
  • Hydrology and Watershed Management Studies
  • Historical and socio-economic studies of Spain and related regions
  • Cryospheric studies and observations
  • Meteorological Phenomena and Simulations
  • Hydrology and Drought Analysis
  • Hydrological Forecasting Using AI
  • Soil and Water Nutrient Dynamics

Barcelona Supercomputing Center
2018-2022

Universitat Politècnica de Catalunya
2018-2022

Universidad de Granada
2016

Azienda-Unita' Sanitaria Locale Di Cesena
2015

Abstract. In this paper, we present and evaluate the skill of an EC-Earth3.3 decadal prediction system contributing to Decadal Climate Prediction Project – Component A (DCPP-A). This is capable skilfully simulating past global mean surface temperature variations at interannual forecast times as well local in regions such tropical Atlantic, Indian Ocean most continental areas, although comes from representation external radiative forcings. benefit initialization predictive evident some areas...

10.5194/esd-12-173-2021 article EN cc-by Earth System Dynamics 2021-02-11

Abstract The Arctic environment is changing, increasing the vulnerability of local communities and ecosystems, impacting its socio-economic landscape. In this context, weather climate prediction systems can be powerful tools to support strategic planning decision-making at different time horizons. This article presents several success stories from H2020 project APPLICATE on how advance seasonal prediction, synthesizing key lessons learned throughout providing recommendations for future model...

10.1175/bams-d-22-0083.1 article EN cc-by Bulletin of the American Meteorological Society 2022-08-03

© 2019 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).A supplement to article is available online (10.1175/BAMS-D-18-0097.2)

10.1175/bams-d-18-0097.1 article EN Bulletin of the American Meteorological Society 2019-01-01

Abstract The quality of initial conditions (ICs) in climate predictions controls the level skill. Both use latest high-quality observations and most efficient assimilation method are paramount importance. Technical challenges make it frequent to assimilate observational information independently various model components. Inconsistencies between ICs obtained for different components can cause initialization shocks. In this study, we identify quantify contribution inconsistency relative...

10.1007/s00382-020-05560-4 article EN cc-by Climate Dynamics 2021-01-01

Abstract. In this paper we present and evaluate the skill of EC-Earth3.3 decadal prediction system contributing to Decadal Climate Prediction Project - Component A (DCPP-A). This is capable skilfully simulating past global mean surface temperature variations at interannual forecast times as well local in regions such Tropical Atlantic, Indian Ocean most continental areas, although comes from representation externally forced trends. benefit initialisation predictive evident some areas Pacific...

10.5194/esd-2020-66 preprint EN cc-by 2020-09-10

Figure S1.Skill of the selected modes ocean variability: a-c) ENSO, d-f) IPO, g-i) AMV and j-l) SPNA-OHC300.The indices have been computed for common period all forecast ranges (i.e.1970-2018).The first column shows observed (grey bars) predicted (PRED in blue, HIST red) time series indices.The ensemble means are represented with lines spread coloured envelops.The ENSO index winter (DJF), while other average 4 years is shown.The second ACC PRED (blue) (red), MSSS considering baseline...

10.5194/esd-2020-66-supplement preprint EN 2020-09-10
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