Pablo Ortega

ORCID: 0000-0002-4135-9621
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Oceanographic and Atmospheric Processes
  • Geology and Paleoclimatology Research
  • Meteorological Phenomena and Simulations
  • Arctic and Antarctic ice dynamics
  • Methane Hydrates and Related Phenomena
  • Atmospheric and Environmental Gas Dynamics
  • Cryospheric studies and observations
  • Climate change and permafrost
  • Tree-ring climate responses
  • Marine and coastal ecosystems
  • Geophysics and Gravity Measurements
  • Atmospheric Ozone and Climate
  • Hydrocarbon exploration and reservoir analysis
  • Geological Studies and Exploration
  • Geological and Geophysical Studies
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Isotope Analysis in Ecology
  • Distributed and Parallel Computing Systems
  • COVID-19 impact on air quality
  • Politics and Society in Latin America
  • Environmental and Ecological Studies
  • Marine and environmental studies
  • Complex Network Analysis Techniques

Barcelona Supercomputing Center
2018-2024

Universitat Politècnica de Catalunya
2018-2024

National Centre for Atmospheric Science
2015-2021

University of Reading
2016-2021

Universidad Complutense de Madrid
2011-2020

Federico Santa María Technical University
2019

Universidad Técnica Federico Santa María
2018

Sorbonne Université
2015-2017

Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques
2015-2017

Institut de Recherche pour le Développement
2015-2017

The Earth system model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible coupling framework, major configurations, a methodology ensuring the simulations are comparable across different high-performance computing (HPC) systems, and physical performance of base configurations over historical period. variety possible sub-models reflects broad interests in EC-Earth community. key metrics demonstrate behavior biases well within frame known from recent CMIP models. With...

10.5194/gmd-15-2973-2022 article EN cc-by Geoscientific model development 2022-04-08

Abstract The United Nations Framework Convention on Climate Change (UNFCCC) process agreed in Paris to limit global surface temperature rise “well below 2°C above pre-industrial levels.” But what period is preindustrial? Somewhat remarkably, this not defined within the UNFCCC’s many agreements and protocols. Nor it IPCC’s Fifth Assessment Report (AR5) evaluation of when particular levels might be reached because no robust definition exists. Here we discuss important factors consider defining...

10.1175/bams-d-16-0007.1 article EN cc-by Bulletin of the American Meteorological Society 2017-01-25

Abstract. The Earth System Model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible coupling framework, major model configurations, a methodology ensuring the simulations are comparable across different HPC systems, and physical performance of base configurations over historical period. variety possible sub-models reflects broad interests in EC-Earth community. key metrics demonstrate behaviour biases well within frame known from recent CMIP models. With improved...

10.5194/gmd-2020-446 preprint EN cc-by 2021-02-11

The possibility that Arctic sea ice loss weakens mid-latitude westerlies, promoting more severe cold winters, has sparked than a decade of scientific debate, with apparent support from observations but inconclusive modelling evidence. Here we show sixteen models contributing to the Polar Amplification Model Intercomparison Project simulate weakening westerlies in response projected loss. We develop an emergent constraint based on eddy feedback, which is 1.2 3 times too weak models,...

10.1038/s41467-022-28283-y article EN cc-by Nature Communications 2022-02-07

Abstract A multimodel, multiresolution ensemble using Coupled Model Intercomparison Project Phase 6 (CMIP6) High Resolution (HighResMIP) coupled experiments is used to assess the performance of key aspects North Atlantic circulation. The Meridional Overturning Circulation (AMOC), and related heat transport, tends become stronger as ocean model resolution enhanced, better agreeing with observations at 26.5°N. However, for most models circulation remains too shallow compared has a smaller...

10.1029/2019ms002014 article EN cc-by Journal of Advances in Modeling Earth Systems 2020-07-17

While bidecadal climate variability has been evidenced in several North Atlantic paleoclimate records, its drivers remain poorly understood. Here we show that the subset of CMIP5 historical simulations produce such exhibits a robust synchronization, with maximum Meridional Overturning Circulation (AMOC) 15 years after 1963 Agung eruption. The mechanisms at play involve salinity advection from Arctic and explain timing Great Salinity Anomalies observed 1970s 1990s. Simulations, as well...

10.1038/ncomms7545 article EN cc-by Nature Communications 2015-03-30

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

Atlantic multidecadal variability is a coherent mode of natural climate occurring in the North Ocean, with strong impacts on human societies and ecosystems worldwide. However, its periodicity drivers are widely debated due to short temporal extent instrumental observations competing effects both internal external factors acting surface temperature variability. Here, we use paleoclimate database an advanced statistical framework generate, evaluate, compare 312 reconstructions over past...

10.1038/s41467-022-32704-3 article EN cc-by Nature Communications 2022-09-02

Abstract. We introduce PARASO, a novel five-component fully coupled regional climate model over an Antarctic circumpolar domain covering the full Southern Ocean. The state-of-the-art models used are fast Elementary Thermomechanical Ice Sheet (f.ETISh) v1.7 (ice sheet), Nucleus for European Modelling of Ocean (NEMO) v3.6 (ocean), Louvain-la-Neuve sea-ice (LIM) (sea ice), COnsortium Small-scale MOdeling (COSMO) v5.0 (atmosphere) and its CLimate Mode (CLM) v4.5 (land), which here run at...

10.5194/gmd-15-553-2022 article EN cc-by Geoscientific model development 2022-01-25

Abstract Future precipitation changes are typically estimated from climate model simulations, while the credibility of such projections needs to be assessed by their ability capture observed changes. Here we evaluate how skillfully historical simulations contributing Coupled Model Intercomparison Project Phase 6 (CMIP6) in mean and extreme precipitation. We find that CMIP6 represent over large parts Europe, Asia, northeastern North America, South America western Australia, whereas a lack...

10.1029/2022gl102466 article EN cc-by-nc Geophysical Research Letters 2023-07-18

Abstract Marine Ecosystem Models (MEMs) are increasingly driven by Earth System (ESMs) to better understand marine ecosystem dynamics, and analyze the effects of alternative management efforts for ecosystems under potential scenarios climate change. However, policy commercial activities typically occur on seasonal‐to‐decadal time scales, a span widely used in global modeling community but where skill level assessments MEMs their infancy. This is mostly due technical hurdles that prevent MEM...

10.1029/2023ef004295 article EN cc-by Earth s Future 2024-03-01

Abstract. Combined records of snow accumulation rate, δ18O and deuterium excess were produced from several shallow ice cores pits at NEEM (North Greenland Eemian Ice Drilling), covering the period 1724 to 2007. They are used investigate recent climate variability characterise isotope–temperature relationship. We find that only weakly affected by inter-annual changes in North Atlantic Oscillation. Decadal is related sea surface temperature enhanced beginning 19th century. No long-term trend...

10.5194/tc-9-1481-2015 article EN cc-by ˜The œcryosphere 2015-08-06

Abstract Simulations from seven global coupled climate models performed at high and standard resolution as part of the model intercomparison project (HighResMIP) are analyzed to study deep ocean mixing in Labrador Sea impact increased horizontal resolution. The representation convection varies strongly among models. Compared observations ARGO-floats EN4 data set, most substantially overestimate Sea. In four out five models, all using NEMO-ocean model, increasing 1° 1/4° leads Increasing...

10.1007/s00382-021-05785-x article EN cc-by Climate Dynamics 2021-05-14

El Niño-Southern Oscillation (ENSO) is a key mode of climate variability with worldwide impacts. Recent studies have highlighted the impact other tropical oceans on its variability. In particular, observations demonstrated that summer Atlantic Niños (Niñas) favor development Pacific Niñas (Niños) following winter, but it unclear how well models capture this teleconnection and role in defining seasonal predictive skill ENSO. Here we use an ensemble forecast systems to demonstrate better...

10.1038/s41467-021-21857-2 article EN cc-by Nature Communications 2021-03-12

A necessary step before assessing the performance of decadal predictions is evaluation processes that bring memory to climate system, both in models and observations. These mechanisms are particularly relevant North Atlantic, where ocean circulation, related Subpolar Gyre Meridional Overturning Circulation (AMOC), thought be important for driving significant heat content anomalies. Recently, a rapid decline observed densities deep Labrador Sea has pointed an ongoing slowdown AMOC strength...

10.1007/s00382-016-3467-y article EN cc-by Climate Dynamics 2016-12-09

Abstract Major tropical volcanic eruptions have a large impact on climate, but there only been three major during the recent relatively well‐observed period. Models are therefore an important tool to understand and predict impacts of eruption. This study uses five state‐of‐the‐art decadal prediction systems that initialized with observed state before aerosols introduced. The is found by subtracting results reference experiment where omitted. We look for robust across models volcanoes...

10.1029/2019jd031739 article EN cc-by Journal of Geophysical Research Atmospheres 2020-04-22
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