2020
DOI: 10.1002/essoar.10505166.1
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Outsize Influence of Central American Orography on Global Climate

Abstract: It is standard practice in Global Climate Models (GCMs) for observed orography to be averaged onto the model grid. For example, in a 50 × 50 km atmosphere/land resolution GCM (e.g., the GFDL CM2.5 Forecast-Oriented Low Ocean Resolution GCM [FLOR]), the orographic height in a given gridcell is based on the value of the observed height spatially averaged over the relevant 50 × 50 km area (see Section 2). This averaging process acts to maintain the mean height of the surface, but smooths out orographic peaks, mak… Show more

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Cited by 6 publications
(6 citation statements)
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“…The global‐scale inaccuracy of these models therefore appears to be subtle if present. We suggest that the previously documented proxy‐model disagreements in the tropics may be related to the representation of local hydroclimate, land‐atmosphere feedbacks, or surface topography at specific sites (Baldwin et al., 2021) rather than the planetary‐scale energy balance. Finally, because Δ T UT primarily reflects altitudes above ∼5 km, it places a plausible upper limit on the change in the atmospheric emission temperature influencing outgoing longwave radiation.…”
Section: Discussionmentioning
confidence: 79%
“…The global‐scale inaccuracy of these models therefore appears to be subtle if present. We suggest that the previously documented proxy‐model disagreements in the tropics may be related to the representation of local hydroclimate, land‐atmosphere feedbacks, or surface topography at specific sites (Baldwin et al., 2021) rather than the planetary‐scale energy balance. Finally, because Δ T UT primarily reflects altitudes above ∼5 km, it places a plausible upper limit on the change in the atmospheric emission temperature influencing outgoing longwave radiation.…”
Section: Discussionmentioning
confidence: 79%
“…In part, this is further underscored by the fact that models produce different SST responses to external forcing (volcanic vs. orbital) even over the last millennium (Bhattacharya & Coats, 2020). Furthermore, SST biases in the eastern Tropical Pacific and the Tropical Atlantic, driven by poor model representation of topography in Mesoamerica (Baldwin et al., 2021) and oceanic and atmospheric circulation (Imbol Nkwinkwa et al., 2021), further confound the ability to accurately reproduce the SST interbasin gradient. Lastly, the large inter‐model spread in precipitation is also partially driven by the paucity of paleoclimate records and uncertainties in the response of rainfall and SSTs to internal variability (Deser et al., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…There may also be additional errors in elevation measurements within gridded data sets themselves, irrespective of resolution. Problems of horizontal resolution are also highly relevant for model data sets, which in addition may be affected by limitations in simulating mountain‐specific processes (Baldwin et al., 2021).…”
Section: Broader Limitations and Proposals For Future Workmentioning
confidence: 99%