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Keith Lindsay

Biographic Data

ID6718478
NAMEKeith Lindsay
GIVEN NAMESKeith
FAMILY NAMELindsay
SIGNATURELINDSAY K
AFFILIATIONSNSF National Center for Atmospheric Research
ORCID0000-0002-3672-1665
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS3
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2003
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Internal climate variability modulates decadal changes in ocean anthropogenic carbon storage

    Open Access•Holly C Olivarez, Nicole S Lovenduski et al.•ARTICLE•Environmental Research Letters•2024

    The ocean removes man-made (anthropogenic) carbon from the atmosphere and thereby mitigates climate change. Observations from global hydrographic surveys reveal the spatial and temporal evolution of the ocean inventory of anthropogenic carbon and suggest substantial decadal variability in historical storage rates. Here, we use a 100-member ensemble of an Earth system model to investigate the influence of external forcing and internal climate vari…

  • Global Carbon Budget 2022

    Open Access•Pierre Friedlingstein, Mike O’Sullivan et al.•ARTICLE•Earth System Science Data•2022

    Accurate assessment of anthropogenic carbon dioxide (CO2) emissions andtheir redistribution among the atmosphere, ocean, and terrestrial biospherein a changing climate is critical to better understand the global carboncycle, support the development of climate policies, and project futureclimate change. Here we describe and synthesize data sets and methodologies toquantify the five major components of the global carbon budget and theiruncertaintie…

  • The Community Earth System Model Version 2 (Cesm2)

    Open Access•Gökhan Danabasoglu, Jean‐François Lamarque et al.•ARTICLE•Journal of Advances in Modeling…•2020

    An overview of the Community Earth System Model Version 2 (CESM2) is provided, including a discussion of the challenges encountered during its development and how they were addressed. In addition, an evaluation of a pair of CESM2 long preindustrial control and historical ensemble simulations is presented. These simulations were performed using the nominal 1° horizontal resolution configuration of the coupled model with both the “low‐top” (40 km, …

  • High predictability of terrestrial carbon fluxes from an initialized decadal prediction system

    Open Access•Nicole S Lovenduski, Gordon B Bonan et al.•ARTICLE•Environmental Research Letters•2019

    Interannual variations in the flux of carbon dioxide (CO 2 ) between the land surface and the atmosphere are the dominant component of interannual variations in the atmospheric CO 2 growth rate. Here, we investigate the potential to predict variations in these terrestrial carbon fluxes 1–10 years in advance using a novel set of retrospective decadal forecasts of an Earth system model. We demonstrate that globally-integrated net ecosystem producti…

  • The Community Earth System Model (Cesm) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability

    Open Access•Jennifer E Kay, Clara Deser et al.•ARTICLE•Bulletin of the American…•2015

    While internal climate variability is known to affect climate projections, its influence is often underappreciated and confused with model error. Why? In general, modeling centers contribute a small number of realizations to international climate model assessments [e.g., phase 5 of the Coupled Model Intercomparison Project (CMIP5)]. As a result, model error and internal climate variability are difficult, and at times impossible, to disentangle. I…

  • The Community Earth System Model: A Framework for Collaborative Research

    James W Hurrell, M M Holland et al.•ARTICLE•Bulletin of the American…•2013

    By simulating biogeochemical cycles, the Greenland ice sheet, and more-with reach to the lower thermosphere-this system gives the research community a flexible, state-of-thescience tool for understanding climate variability and change.

  • Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison

    Pierre Friedlingstein, Peter M Cox et al.•ARTICLE•Journal of Climate•2006

    Eleven coupled climate–carbon cycle models used a common protocol to study the coupling between climate change and the carbon cycle. The models were forced by historical emissions and the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A2 anthropogenic emissions of CO2 for the 1850–2100 time period. For each model, two simulations were performed in order to isolate the impact of climate change on the …

  • Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms

    Open Access•James C Orr, Victoria J Fabry et al.•ARTICLE•Nature•2005

  • Ivory and ecology—changing perspectives on elephant management and the international trade in ivory

    Open Access•Lindsey Gillson, Keith Lindsay•ARTICLE•Environmental Science & Policy•2003•Cited by: 3

  • Ivory and ecology—changing perspectives on elephant management and the international trade in ivory

    Open Access•Lindsey Gillson, Keith Lindsay•ARTICLE•Environmental Science & Policy•2003•Cited by: 3

  • Ivory and ecology—changing perspectives on elephant management and the international trade in ivory

    Open Access•Lindsey Gillson, Keith Lindsay•ARTICLE•Environmental Science & Policy•2003•Cited by: 3

  • Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms

    Open Access•James C Orr, Victoria J Fabry et al.•ARTICLE•Nature•2005

  • Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison

    Pierre Friedlingstein, Peter M Cox et al.•ARTICLE•Journal of Climate•2006

    Eleven coupled climate–carbon cycle models used a common protocol to study the coupling between climate change and the carbon cycle. The models were forced by historical emissions and the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A2 anthropogenic emissions of CO2 for the 1850–2100 time period. For each model, two simulations were performed in order to isolate the impact of climate change on the …

  • The Community Earth System Model: A Framework for Collaborative Research

    James W Hurrell, M M Holland et al.•ARTICLE•Bulletin of the American…•2013

    By simulating biogeochemical cycles, the Greenland ice sheet, and more-with reach to the lower thermosphere-this system gives the research community a flexible, state-of-thescience tool for understanding climate variability and change.

  • The Community Earth System Model (Cesm) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability

    Open Access•Jennifer E Kay, Clara Deser et al.•ARTICLE•Bulletin of the American…•2015

    While internal climate variability is known to affect climate projections, its influence is often underappreciated and confused with model error. Why? In general, modeling centers contribute a small number of realizations to international climate model assessments [e.g., phase 5 of the Coupled Model Intercomparison Project (CMIP5)]. As a result, model error and internal climate variability are difficult, and at times impossible, to disentangle. I…

  • High predictability of terrestrial carbon fluxes from an initialized decadal prediction system

    Open Access•Nicole S Lovenduski, Gordon B Bonan et al.•ARTICLE•Environmental Research Letters•2019

    Interannual variations in the flux of carbon dioxide (CO 2 ) between the land surface and the atmosphere are the dominant component of interannual variations in the atmospheric CO 2 growth rate. Here, we investigate the potential to predict variations in these terrestrial carbon fluxes 1–10 years in advance using a novel set of retrospective decadal forecasts of an Earth system model. We demonstrate that globally-integrated net ecosystem producti…

  • The Community Earth System Model Version 2 (Cesm2)

    Open Access•Gökhan Danabasoglu, Jean‐François Lamarque et al.•ARTICLE•Journal of Advances in Modeling…•2020

    An overview of the Community Earth System Model Version 2 (CESM2) is provided, including a discussion of the challenges encountered during its development and how they were addressed. In addition, an evaluation of a pair of CESM2 long preindustrial control and historical ensemble simulations is presented. These simulations were performed using the nominal 1° horizontal resolution configuration of the coupled model with both the “low‐top” (40 km, …

  • Global Carbon Budget 2022

    Open Access•Pierre Friedlingstein, Mike O’Sullivan et al.•ARTICLE•Earth System Science Data•2022

    Accurate assessment of anthropogenic carbon dioxide (CO2) emissions andtheir redistribution among the atmosphere, ocean, and terrestrial biospherein a changing climate is critical to better understand the global carboncycle, support the development of climate policies, and project futureclimate change. Here we describe and synthesize data sets and methodologies toquantify the five major components of the global carbon budget and theiruncertaintie…

  • Internal climate variability modulates decadal changes in ocean anthropogenic carbon storage

    Open Access•Holly C Olivarez, Nicole S Lovenduski et al.•ARTICLE•Environmental Research Letters•2024

    The ocean removes man-made (anthropogenic) carbon from the atmosphere and thereby mitigates climate change. Observations from global hydrographic surveys reveal the spatial and temporal evolution of the ocean inventory of anthropogenic carbon and suggest substantial decadal variability in historical storage rates. Here, we use a 100-member ensemble of an Earth system model to investigate the influence of external forcing and internal climate vari…

Environmental Science (8 works) · Atmospheric and Environmental Gas Dynamics (7 works) · Climate change (6 works) · Climate variability and models (6 works) · Climatology (5 works) · Geography (5 works) · Geology (5 works) · Atmospheric sciences (4 works) · Carbon cycle (4 works) · Earth system science (4 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae