Causes of Past African Temperature Change in PMIP Simulations of the Mid‐Holocene

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Charlie Marshall, Carrie Morrill, Sylvia Dee, F. Pausata, James M. Russell
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引用次数: 0

Abstract

Current‐generation climate models project that Africa will warm by up to 5°C in the coming century, severely stressing African populations. Past and ongoing work indicates, however, that the models used to create these projections do not match proxy records of past temperature in Africa during the mid‐Holocene (MH), raising concerns that their future projections may house large uncertainties. Rather than reproducing proxy‐based reconstructions of MH warming relative to the Pre‐Industrial (PI), models instead simulate MH temperatures very similar to or slightly colder than the PI. This data‐model mismatch could be due to a variety of factors, including biases in model surface energy budgets or inaccurate representation of the feedbacks between temperature and hydrologic change during the “Green Sahara.” We focus on the differences among model simulations in the Paleoclimate Modeling Intercomparison Project Phases 3 and 4 (PMIP3 and PMIP4), examining surface temperature and energy budgets to investigate controls on temperature and the potential model sources of this paleoclimate data‐model mismatch. Our results suggest that colder conditions simulated by PMIP3 and PMIP4 models during the MH are in large part due to the joint impacts of feedback uncertainties in response to increased precipitation, a strengthened West African Monsoon (WAM) in the Sahel, and the Green Sahara. We extend these insights into suggestions for model physics and boundary condition changes, and discuss implications for the accuracy of future climate model projections over Africa.
全新世中期 PMIP 模拟中过去非洲气温变化的原因
新一代气候模型预测,非洲在下个世纪将升温高达 5°C,给非洲人口带来严重压力。然而,过去和正在进行的工作表明,用于创建这些预测的模型与非洲在全新世中期(MH)的代用温度记录不匹配,这引起了人们对其未来预测可能存在巨大不确定性的担忧。模型并没有再现基于代用指标的中新世相对于工业化前(PI)的变暖重建,而是模拟了与工业化前非常相似或略低于工业化前的中新世温度。这种数据与模式的不匹配可能是由多种因素造成的,包括模式地表能量预算的偏差或对 "绿色撒哈拉 "期间温度与水文变化之间的反馈作用表述不准确。我们重点研究了古气候模拟相互比较项目第 3 阶段和第 4 阶段(PMIP3 和 PMIP4)模型模拟之间的差异,考察了地表温度和能量预算,以研究对温度的控制以及古气候数据与模型不匹配的潜在模型来源。我们的研究结果表明,PMIP3 和 PMIP4 模型模拟的 MH 期间较冷的条件在很大程度上是由于降水增加、萨赫勒地区西非季风(WAM)增强和绿色撒哈拉的反馈不确定性的共同影响。我们将这些见解延伸为对模式物理和边界条件变化的建议,并讨论了对未来非洲气候模式预测准确性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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