On the Structure and Origin of Major Glaciation Cycles 1. Linear Responses to Milankovitch Forcing

TLDR

Time‑series of ocean properties over the past 400 kyr reveal dominant 23‑kyr, 41‑kyr, and 100‑kyr glaciation cycles and illustrate that complex climate systems evolve slowly through successive stages. The study argues that the 23‑kyr and 41‑kyr glaciation cycles are continuous, linear responses to orbital changes in the Arctic radiation budget and seeks to use their phase progression to map the main atmospheric and oceanic pathways of propagation. To support this, the authors present a process model of climate at four end‑member states and a dynamic system model with inertial constants linking four subsystems that explain the observed phase progression. The phase of each oscillation propagates through the climate system in a consistent geographic sequence, and early in this progression the.

Abstract

Time series of ocean properties provide a measure of global ice volume and monitor key features of the wind‐driven and density‐driven circulations over the past 400,000 years. Cycles with periods near 23,000, 41,000, and 100,000 years dominate this climatic narrative. When the narrative is examined in a geographic array of time series, the phase of each climatic oscillation is seen to progress through the system in essentially the same geographic sequence in all three cycles. We argue that the 23,000‐ and 41,000‐year cycles of glaciation are continuous, linear responses to orbitally driven changes in the Arctic radiation budget; and we use the phase progression in each climatic cycle to identify the main pathways along which the initial, local responses to radiation are propagated by the atmosphere and ocean. Early in this progression, deep waters of the Southern Ocean appear to act as a carbon trap. To stimulate new observations and modeling efforts, we offer a process model that gives a synoptic view of climate at the four end‐member states needed to describe the system's evolution, and we propose a dynamic system model that explains the phase progression along causal pathways by specifying inertial constants in a chain of four subsystems. “Solutions to problems involving systems of such complexity are not born full grown like Athena from the head of Zeus. Rather they evolve slowly, in stages, each of which requires a pause to examine data at great lengths in order to guarantee a sure footing and to properly choose the next step.” —Victor P. Starr