GLOBAL SYSTEMS INSTITUTE

Publications

A signal-to-noise paradox in climate science

Publication ID: pub.1105275351

Publication date: 18/07/2018

Keywords: Atlantic; Atmospheric Circulation; Climate Models; Climate Science; Climate Variability; Discrepancy; Inconsistency; Magnitude; Predictable Signals; Signal-to-noise Paradox; Simulations; Timescales

We review the growing evidence for a widespread inconsistency between the low strength of predictable signals in climate models and the relatively high level of agreement they exhibit with observed variability of the atmospheric circulation. This discrepancy is particularly evident in the climate variability of the Atlantic sector, where ensemble predictions using climate models generally […]

Direct Channel Precipitation and Storm Characteristics Influence Short‐Term Fallout Radionuclide Assessment of Sediment Source

Publication ID: pub.1104400305

Publication date: 06/07/2018

Keywords: Beryllium-7 (7Be); Channel Interception; Extreme Event; Lead-210 (210Pbxs); Southeastern Pennsylvania; Suspended Sediment; US; White Clay Creek

Fallout radionuclides (FRNs) and their ratios, such as Beryllium‐7 (7Be) and excess Lead‐210 (210Pbxs), have been used to determine suspended sediment source and age in catchments. These models are based on numerous assumptions, for example, that channel deposition of FRNs from precipitation is negligible in comparison to their delivery to the channel from land surface […]

Early-warning signals for Dansgaard-Oeschger events in a high-resolution ice core record

Publication ID: pub.1105156396

Publication date: 02/07/2018

Keywords: Dansgaard–Oeschger (DO) Events; Early-warning Signals (EWS); North Greenland; North Greenland Ice Core Project (NGRIP) Record; Oxygen Isotope Ratios; Physical Cause; Resolution; Timescale

The Dansgaard–Oeschger (DO) events, as observed in oxygen isotope ratios from the North Greenland Ice Core Project (NGRIP) record, are an outstanding example of past abrupt climate transitions. Their physical cause remains debated, and previous research indicated that they are not preceded by classical early-warning signals (EWS). Subsequent research hypothesized that the DO events are […]

Selection for Gaia across Multiple Scales

Publication ID: pub.1105251348

Publication date: 02/07/2018

Keywords: Biological Evolution; Earth, Planet; Ecosystem; Feedback; Models, Biological; Selection, Genetic

Recently postulated mechanisms and models can help explain the enduring ‘Gaia’ puzzle of environmental regulation mediated by life. Natural selection can produce nutrient recycling at local scales and regulation of heterogeneous environmental variables at ecosystem scales. However, global-scale environmental regulation involves a temporal and spatial decoupling of effects from actors that makes conventional evolutionary explanations […]

Framework for Assessing Flood Reliability and Resilience of Wastewater Treatment Plants

Publication ID: pub.1105229107

Publication date: 28/06/2018

Keywords: Failure; Flood; New York City; Reliability; Resilience; US; Wastewater Treatment Plant

Water Infrastructures play an important role in serving societies, and ensuring the proper performance of these facilities has received great attention recently. Growing hydrometeorological hazards, including coastal flooding, have posed a challenge to the management of water infrastructures. Reliability and resilience are two concepts for analyzing systems performance and behavior. Although there are various and […]

From the betweenness centrality in street networks to structural invariants in random planar graphs

Publication ID: pub.1105054503

Publication date: 27/06/2018

Keywords: Algorithms; Cluster Analysis; Data Analysis; Global; Models, Statistical; Motor Vehicles; Paris

The betweenness centrality, a path-based global measure of flow, is a static predictor of congestion and load on networks. Here we demonstrate that its statistical distribution is invariant for planar networks, that are used to model many infrastructural and biological systems. Empirical analysis of street networks from 97 cities worldwide, along with simulations of random […]