NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP ssp585

John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne, John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers, Levi; Stock, Charles; Winton, Michael; Zeng, Yujin

doi:10.22033/esgf/cmip6.8706

Cited by 19 publications

(8 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When considered individually, the eight ESMs show some disparities in this spatial pattern, but generally better reproduce the observed pattern than the nine discarded models (lower root mean square error RMSE, Figures S2 and S3). This subset of eight ESMs includes ACCESS-ESM1.5 (Ziehn et al, 2019a(Ziehn et al, , 2019b, CESM2 (Danabasoglu, 2019a(Danabasoglu, , 2019b, CESM2-WACCM (Danabasoglu, 2019c(Danabasoglu, , 2019d, CNRM-ESM2-1 (Seferian, 2018;Voldoire, 2019), GFDL-CM4 (Guo et al, 2018a(Guo et al, , 2018b, GFDL-ESM4 (John et al, 2018;Krasting et al, 2018), IPSL-CM6A-LR (Boucher et al, 2018(Boucher et al, , 2019, and NorESM2-MM (Bentsen, Oliviè, Sealand, et al, 2019; (Table S1). The results are presented for the equatorial Pacific Ocean (15°S-15°N, 140°E to South American coastline, black box in Figure 2a).…”

Section: Air-sea Co 2 Flux From Observations and Cmip6 Modelsmentioning

confidence: 99%

Future Weakening of the ENSO Ocean Carbon Buffer Under Anthropogenic Forcing

Liao

Resplandy

Liu

et al. 2021

Geophysical Research Letters

View full text Add to dashboard Cite

The El Niño Southern Oscillation (ENSO) influences the global carbon cycle and atmospheric CO 2 concentrations by modifying the net uptake of carbon in the tropical land and ocean (Bacastow, 1976;Betts et al., 2016;Keeling & Revelle, 1985;Keeling et al., 1995) (Figures 1a and 1b). In the past four decades, "warm" El Niño events increased the CO 2 airborne fraction-the fraction of anthropogenic emissions that remains in the atmosphere-from an average of 44% in normal years to 63% (50%-82% range), while "cool" La Niña events reduced it to 36% (29%-46% range; Supporting Information S1, Friedlingstein et al., 2019). The tropical terrestrial biosphere largely controls these variations by fixing less carbon during warmer and dryer El Niño years and fixing more carbon during cooler and wetter La Niña years (

show abstract

Section: Air-sea Co 2 Flux From Observations and Cmip6 Modelsmentioning

confidence: 99%

Future Weakening of the ENSO Ocean Carbon Buffer Under Anthropogenic Forcing

Liao

Resplandy

Liu

et al. 2021

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…As different climate models suggest different environmental futures, the aim here was to highlight methods of including multiple climate models in spatial prioritization. We used five climate models: (1) CanESM5 (Swart et al, 2019a(Swart et al, , 2019b(Swart et al, , 2019c; (2) CMCC-ESM2 (Lovato et al, 2021a(Lovato et al, , 2021b(Lovato et al, , 2021c; (3) GFDL-ESM4 (John et al, 2018a(John et al, , 2018b(John et al, , 2018c; (4) IPSL-CM6A-LR (Boucher et al, 2019a(Boucher et al, , 2019b(Boucher et al, , 2019c; and (5) NorESM2-MM (Bentsen et al, 2019a(Bentsen et al, , 2019b(Bentsen et al, , 2019c. We created spatial plans using both a model ensemble comprising outputs from individual models (Appendix S3: Figure S2) and an ensemble mean (Appendix S3: Figure S1C-T).…”

Section: Climate Modelsmentioning

confidence: 99%

“…The global AquaMaps data (Kaschner et al, 2019) were retrieved as described in Appendix S1. The global daily and monthly future model projections (Bentsen et al, 2019a(Bentsen et al, , 2019b(Bentsen et al, , 2019cBoucher et al, 2019aBoucher et al, , 2019bBoucher et al, , 2019cJohn et al, 2018aJohn et al, , 2018bJohn et al, , 2018cLovato et al, 2021aLovato et al, , 2021bLovato et al, , 2021cSwart et al, 2019aSwart et al, , 2019bSwart et al, , 2019c…”

Section: Conflict Of Interest Statementmentioning

confidence: 99%

A metric‐based framework for climate‐smart conservation planning

Buenafe

Dunn

Everett

et al. 2023

Ecological Applications

View full text Add to dashboard Cite

Climate change is already having profound effects on biodiversity, but climate change adaptation has yet to be fully incorporated into area-based management tools used to conserve biodiversity, such as protected areas. One main obstacle is the lack of consensus regarding how impacts of climate change can be included in spatial conservation plans. We propose a climate-smart framework that prioritizes the protection of climate refugia-areas of low climate exposure and high biodiversity retention-using climate metrics. We explore

show abstract

“…NOAA-GFDL: National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA SSP1-2.6 (John et al, 2018a) SSP5-8.5 (John et al, 2018b) historical (Krasting et al, 2018a) https://doi.org/10. piControl (Krasting et al, 2018b) Appendix B Calculation of pO2 pO2…”

Section: Gfdl-esm4mentioning

confidence: 99%

Impact of deoxygenation and warming on global marine species in the 21st century

Morée

Clarke²,

Cheung³

et al. 2022

Preprint

View full text Add to dashboard Cite

Abstract. Ocean temperature and dissolved oxygen shape marine habitats in interplay with species’ physiological characteristics. Therefore, the observed and projected warming and deoxygenation in the 21st century of the world’s oceans may strongly affect species’ habitats. Here, we implement an extended version of the Aerobic Growth Index (AGI), which quantifies whether a viable population of a species can be sustained in a particular location. We assess the impact of projected deoxygenation and warming on the contemporary habitat of 47 representative marine species covering the epipelagic, mesopelagic/bathypelagic, and demersal realms. AGI is calculated for these species for the historical period and into the 21st century using bias-corrected environmental data from six comprehensive Earth System Models. While habitat viability decreases nearly everywhere with global warming, impact of this decrease is strongly species-dependent. Most species lose less than 5 % of their contemporary habitat volume over the 21st century even at 3 °C of global warming relative to preindustrial, although some individual species are projected to incur losses 2–3 times greater than that. We find that the contemporary spatiotemporal variability of O2 and temperature (and hence AGI) provides a quantifiable measure of a species’ vulnerability to change. Species’ vulnerability is the most important indicator for large (>5 %) potential habitat losses – not relative or absolute changes in habitat viability (i.e., AGIrel or ΔAGI), temperature or O2. Loss of contemporary habitat is for most epipelagic species driven by warming of ocean water and is therefore expanded with increased levels of global warming. In the mesopelagic/bathypelagic and demersal realms habitat loss is also affected by pO2 decrease for some species. Our analysis is constrained by the uncertainties involved in species-specific critical thresholds, which we quantify, by data limitations on 3D species distributions as well as by high uncertainty in model O2 projections in equatorial regions. Focus on these topics in future research will strengthen our confidence in assessing climate-change driven losses of contemporary habitat across the global oceans.

show abstract

NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP ssp585

Cited by 19 publications

References 6 publications

Future Weakening of the ENSO Ocean Carbon Buffer Under Anthropogenic Forcing

Future Weakening of the ENSO Ocean Carbon Buffer Under Anthropogenic Forcing

A metric‐based framework for climate‐smart conservation planning

Impact of deoxygenation and warming on global marine species in the 21st century

Contact Info

Product

Resources

About