Luke Van Roekel

ORCID: 0000-0003-1418-5686
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Oceanographic and Atmospheric Processes
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Cryospheric studies and observations
  • Tropical and Extratropical Cyclones Research
  • Ocean Waves and Remote Sensing
  • Atmospheric and Environmental Gas Dynamics
  • Arctic and Antarctic ice dynamics
  • Geology and Paleoclimatology Research
  • Methane Hydrates and Related Phenomena
  • Marine and coastal ecosystems
  • Geophysics and Gravity Measurements
  • Landslides and related hazards
  • Winter Sports Injuries and Performance
  • Scientific Computing and Data Management
  • Reservoir Engineering and Simulation Methods
  • Atmospheric Ozone and Climate
  • Fluid Dynamics and Turbulent Flows
  • Geological Modeling and Analysis
  • Coastal and Marine Dynamics
  • Health, Environment, Cognitive Aging
  • Hydrological Forecasting Using AI
  • Offshore Engineering and Technologies
  • Explainable Artificial Intelligence (XAI)
  • Topological and Geometric Data Analysis

Los Alamos National Laboratory
2016-2025

Los Alamos National Security (United States)
2021

Ashland (United States)
2012-2014

Northland College
2012-2014

Cooperative Institute for Research in Environmental Sciences
2012

University of Colorado Boulder
2011-2012

Colorado State University
2009-2011

This work documents the first version of U.S. Department Energy (DOE) new Exascale Earth System Model (E3SMv1). We focus on standard resolution fully coupled physical model designed to address DOE mission-relevant water cycle questions. Its components include atmosphere and land (110-km grid spacing), ocean sea ice (60 km in midlatitudes 30 at equator poles), river transport (55 km) models. base configuration will also serve as a foundation for additional configurations exploring higher...

10.1029/2018ms001603 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2019-03-16

The turbulent mixing in thin ocean surface boundary layers (OSBL), which occupy the upper 100 m or so of ocean, control exchange heat and trace gases between atmosphere ocean. Here we show that current parameterizations this lead to systematic substantial errors depth OSBL global climate models, then leads biases sea temperature. One reason, argue, is are missing key surface‐wave processes force Langmuir turbulence deepens more rapidly than steady wind forcing. Scaling arguments presented...

10.1029/2012gl052932 article EN Geophysical Research Letters 2012-08-21

Abstract This study provides an overview of the coupled high‐resolution Version 1 Energy Exascale Earth System Model (E3SMv1) and documents characteristics a 50‐year‐long control simulation with time‐invariant 1950 forcings following HighResMIP protocol. In terms global root‐mean‐squared error metrics, this is generally superior to results from low‐resolution configuration E3SMv1 (due resolution, tuning changes, possibly initialization procedure) compares favorably models in CMIP5 ensemble....

10.1029/2019ms001870 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2019-11-09

Abstract This work documents version two of the Department Energy's Energy Exascale Earth System Model (E3SM). E3SMv2 is a significant evolution from its predecessor E3SMv1, resulting in model that nearly twice as fast and with simulated climate improved many metrics. We describe physical lower horizontal resolution configuration consisting 110 km atmosphere, 165 land, 0.5° river routing model, an ocean sea ice mesh spacing varying between 60 mid‐latitudes 30 at equator poles. The...

10.1029/2022ms003156 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2022-10-31

Abstract The Energy Exascale Earth System Model (E3SM) is a new coupled system model sponsored by the U.S Department of Energy. Here we present E3SM global simulations using active ocean and sea ice that are driven Coordinated Ocean‐ice Reference Experiments II (CORE‐II) interannual atmospheric forcing data set. components MPAS‐Ocean MPAS‐Seaice, which use for Prediction Across Scales (MPAS) framework run on unstructured horizontal meshes. For this study, grid cells vary from 30 to 60 km...

10.1029/2018ms001373 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2019-04-13

Large eddy simulations of the Craik‐Leibovich equations are used to assess effect misaligned Stokes drift and wind direction on Langmuir cells in ocean mixed layer. Misalignments from 0° 135° examined turbulence structures evident all cases. The is modeled using a broadband empirical spectrum, cases with without Coriolis effect, waves, an initial layer examined. expected scaling for vertical velocity variance recovered aligned adapted here adjusted projects friction (aligned stress) into...

10.1029/2011jc007516 article EN Journal of Geophysical Research Atmospheres 2012-03-12

Abstract Purpose of Review Assessment the impact ocean resolution in Earth System models on mean state, variability, and future projections discussion prospects for improved parameterisations to represent mesoscale. Recent Findings The majority centres participating CMIP6 employ components with resolutions about 1 degree their full (eddy-parameterising models). In contrast, there are also submitted (both DECK HighResMIP) that approximately 1/4 1/10 (eddy-present eddy-rich Evidence date...

10.1007/s40641-020-00164-w article EN cc-by Current Climate Change Reports 2020-10-07

Abstract The interactions between boundary layer turbulence, including Langmuir and submesoscale processes in the oceanic mixed are described using large-eddy simulations of spindown a temperature front presence eddies, winds, waves. solve surface-wave-averaged Boussinesq equations with Stokes drift wave forcing at resolution that is sufficiently fine to capture small-scale turbulence. A simulation without also performed for comparison. Spatial spectral properties temperature, velocity,...

10.1175/jpo-d-13-0139.1 article EN other-oa Journal of Physical Oceanography 2014-05-09

Abstract Six recent Langmuir turbulence parameterization schemes and five traditional are implemented in a common single‐column modeling framework consistently compared. These tested scenarios versus matched large eddy simulations, across the globe with realistic forcing (JRA55‐do, WAVEWATCH‐III simulated waves) initial conditions (Argo), under as observed at ocean moorings. Traditional non‐Langmuir systematically underpredict simulation vertical mixing weak convective forcing, while vary...

10.1029/2019ms001810 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2019-10-31

We evaluate the Community ocean Vertical Mixing (CVMix) project version of K-profile parameterization (KPP). For this purpose, one-dimensional KPP simulations are compared across a suite oceanographically relevant regimes against large eddy (LES). The LES is forced with horizontally uniform boundary fluxes and has initial conditions, allowing its horizontal average to be tests. find standard configuration consistent many forcing regimes, supporting physical basis KPP. Our evaluation...

10.1029/2018ms001336 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2018-09-25

The processes responsible for freshwater flux from the Antarctic Ice Sheet (AIS), ice-shelf basal melting and iceberg calving, are generally poorly represented in current Earth System Models (ESMs). Here we document cryosphere configuration of U.S. Department Energy's Energy Exascale Model (E3SM) v1.2. This includes simulating melting, which has been implemented through ocean circulation within static cavities, allowing ability to calculate melt rates associated heat fluxes. In addition,...

10.1029/2021ms002468 article EN cc-by-nc Journal of Advances in Modeling Earth Systems 2022-01-21

This work documents version two of the Department Energy's Energy Exascale Earth System Model (E3SM). E3SM 2 (E3SMv2) is a significant evolution from its predecessor E3SMv1, resulting in model that nearly twice as fast and with simulated climate improved many metrics. We describe physical lower horizontal resolution configuration consisting 110 km atmosphere, 165 land, 0.5° river routing model, an ocean sea ice mesh spacing varying between 60 mid-latitudes 30 at equator poles. The...

10.1002/essoar.10511174.1 preprint EN 2022-04-22

Abstract This paper provides a detailed analysis of momentum, angular vorticity, and energy budgets submesoscale front undergoing frontogenesis driven by an upper‐ocean, eddy field in Large Eddy Simulation (LES). The LES solves the wave‐averaged, or Craik‐Leibovich, equations order to account for Stokes forces that result from interactions between nonbreaking surface waves currents, resolves both eddies boundary layer turbulence down 4.9 m × 1.25 grid scales. It is found differs traditional...

10.1002/2015jc011563 article EN Journal of Geophysical Research Oceans 2016-05-01

This work documents version two of the Department Energy’s Energy Exascale Earth System Model (E3SM). E3SM 2 (E3SMv2) is a significant evolution from its predecessor E3SMv1, resulting in model that nearly twice as fast and with simulated climate improved many metrics. We describe physical lower horizontal resolution configuration consisting 110 km atmosphere, 165 land, 0.5° river routing model, an ocean sea ice mesh spacing varying between 60 mid-latitudes 30 at equator poles. The...

10.1002/essoar.10511174.2 preprint EN 2022-08-05

Abstract. This paper provides an overview of the United States (US) Department Energy's (DOE's) Energy Exascale Earth System Model version 2 (E3SMv2) fully coupled regionally refined model (RRM) and documents overall atmosphere, land, river results from Coupled Intercomparison Project 6 (CMIP6) DECK (Diagnosis, Evaluation, Characterization Klima) historical simulations – a first-of-its-kind set climate production using RRM. The North American (NA) RRM (NARRM) is developed as high-resolution...

10.5194/gmd-16-3953-2023 article EN cc-by Geoscientific model development 2023-07-13

Abstract As the greenhouse gas concentrations increase, a warmer climate is expected. However, numerous internal processes can modulate primary radiative warming response of system to rising forcing. Here particular process that we focus on Atlantic meridional overturning circulation (AMOC), an important global-scale feature ocean serves transport heat and other scalars, address question how mean strength AMOC transient response. While Community Earth System Model version 2 (CESM2) Energy...

10.1175/jcli-d-19-1027.1 article EN Journal of Climate 2020-04-17

Abstract Current submesoscale restratification parameterizations, which help set mixed layer depth in global climate models, depend on a simplistic scaling of frontal width shown to be unreliable several circumstances. Observations and theory indicate that frontogenesis is common, but stable widths arise the presence turbulence instabilities participate keeping fronts at scale observed, arrested scale. Here we propose new law for as function turbulent fluxes via thermal wind (TTW) balance. A...

10.1175/jpo-d-21-0297.1 article EN Journal of Physical Oceanography 2022-09-03

Abstract We compare the performance of several modes variability across six U.S. climate modeling groups, with a focus on identifying robust improvements in recent models [including those participating phase 6 Coupled Model Intercomparison Project (CMIP)] compared to previous versions. In particular, we examine representation Madden–Julian oscillation (MJO), El Niño–Southern Oscillation (ENSO), Pacific decadal (PDO), quasi-biennial (QBO) tropical stratosphere, and dominant extratropical...

10.1175/jcli-d-19-0956.1 article EN Journal of Climate 2020-08-03

We propose GNN-Surrogate, a graph neural network-based surrogate model to explore the parameter space of ocean climate simulations. Parameter exploration is important for domain scientists understand influence input parameters (e.g., wind stress) on simulation output temperature). The requires exhaust complicated by running batch computationally expensive Our approach improves efficiency with that predicts outputs accurately and efficiently. Specifically, GNN-Surrogate field given so can...

10.1109/tvcg.2022.3165345 article EN IEEE Transactions on Visualization and Computer Graphics 2022-01-01

Abstract In this study, we analyze the realism with which tropical cyclones (TCs) are simulated in fully coupled low‐ and high‐resolution Energy Exascale Earth System Model (E3SM) version 1, a focus on latter. Compared to low‐resolution (grid spacing of ∼ 1°), representation TCs improves considerably configuration 0.25°). Significant improvements found global TC frequency, lifetime maximum intensities, relative distribution among different basins. However, at both resolutions, spurious...

10.1029/2019ms002024 article EN cc-by Journal of Advances in Modeling Earth Systems 2020-07-08

Abstract. The U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) version 2.1 builds on E3SMv2 with several changes, the most notable being addition Fox-Kemper et al. (2011) mixed-layer eddy parameterization. This parameterization captures effect finite-amplitude, eddies as an overturning streamfunction and has primary function restratification. Herein, we outline changes to mean climate state E3SM that were introduced by this Overall, presence submesoscale improves...

10.5194/gmd-18-1613-2025 article EN cc-by Geoscientific model development 2025-03-11

Abstract. Wind-wave processes have generally been excluded from coupled Earth system models due to the high computational expense of spectral wave models, which resolve a frequency and direction spectrum waves across space time. Existing uniform-resolution modeling approaches used in cannot appropriately represent climates global coastal ocean scales, largely because tradeoffs between resolution costs. To this challenge, we introduce unstructured mesh capability for WAVEWATCH III (WW3) model...

10.5194/gmd-14-2917-2021 article EN cc-by Geoscientific model development 2021-05-21

Abstract. This paper documents the experimental setup and general features of coupled historical future climate simulations with first version US Department Energy (DOE) Exascale Earth System Model (E3SMv1.0). The projected characteristics E3SMv1.0 at highest emission scenario (SSP5-8.5) designed in Scenario Intercomparison Project (ScenarioMIP) SSP5-8.5 greenhouse gas (GHG) only forcing experiment are analyzed a focus on regional responses atmosphere, ocean, sea ice, land. Due to its high...

10.5194/gmd-15-3941-2022 article EN cc-by Geoscientific model development 2022-05-16
Coming Soon ...