The 4.2 ka BP Event in the Mediterranean region: an overview
The 4.2 ka BP Event in the Mediterranean region: an overview
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DOI：
10.5194/cp-15-555-2019
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发表时间：
2019-03-27
影响因子：
4.3
通讯作者：
Brisset, Elodie
中科院分区：
文献类型：
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作者：
Bini, Monica;Zanchetta, Giovanni;Brisset, Elodie
地中海地区和黎凡特地区已经返回了一些最明显的证据，表明大约4200年前发生了气候干旱时期。然而，一些区域证据存在争议和矛盾，关于这一事件的时间、进展和区域表达仍然存在问题。在本文中，我们审查的证据，从选定的代理（海表面温度，降水量和温度重建花粉，三角洲O-18的洞穴沉积物，和三角洲O-18湖相碳酸盐）在地中海盆地推断可能的区域气候模式之间的间隔4.3和3.8万年。这些代理的价值和局限性进行了讨论，并探讨其提供季节性信息的潜力。尽管时间上的不确定性是解开气候条件细节的主要限制，但数据表明，除了已经干燥的夏季之外，地中海的冬季还涉及干燥的条件。然而，也有一些例外情况-潮湿的条件似乎一直存在-表明气候模式的区域异质性。温度数据，即使稀疏，也表明冷却异常，即使这是不均匀的。最常见的范例来解释降水制度在地中海-北大西洋振荡样模式-是不完全令人满意的解释所选择的数据。
The Mediterranean region and the Levant have returned some of the clearest evidence of a climatically dry period occurring around 4200 years ago. However, some regional evidence is controversial and contradictory, and issues remain regarding timing, progression, and regional articulation of this event. In this paper, we review the evidence from selected proxies (sea-surface temperature, precipitation, and temperature reconstructed from pollen, delta O-18 on speleothems, and delta O-18 on lacustrine carbonate) over the Mediterranean Basin to infer possible regional climate patterns during the interval between 4.3 and 3.8 ka. The values and limitations of these proxies are discussed, and their potential for furnishing information on seasonality is also explored. Despite the chronological uncertainties, which are the main limitations for disentangling details of the climatic conditions, the data suggest that winter over the Mediterranean involved drier conditions, in addition to already dry summers. However, some exceptions to this prevail - where wetter conditions seem to have persisted - suggesting regional heterogeneity in climate patterns. Temperature data, even if sparse, also suggest a cooling anomaly, even if this is not uniform. The most common paradigm to interpret the precipitation regime in the Mediterranean - a North Atlantic Oscillation-like pattern - is not completely satisfactory to interpret the selected data.