A Linear Sensitivity Framework to Understand the Drivers of the Wet‐Bulb Globe Temperature Changes
Year: 2025
Type: article
Abstract: Better understanding of the physical drivers of sufficiently realistic representation of human heat stress is crucial for improving prediction and enhancing preparedness. Wet‐bulb globe temperature (WBGT) is a standard metric for workplace heat stress; however, its calculation involves complex parameterizations of radiative and convective energy exchange, making it difficult to understand the driving mechanisms behind WBGT changes. To address this issue, we introduce a sensitivity framework to analytically evaluate WBGT's response to meteorological input changes. By examining the form of sensitivity coefficients, we gain insights into the interactive effects of multiple environmental parameters in controlling WBGT. Given constant wind and solar radiation, the natural wet‐bulb and black globe temperatures change at the same rate and direction as the wet‐ and dry‐bulb temperatures, despite considerable differences in their absolute values. The framework, while having state‐dependent sensitivity coefficients, can be linearized, transforming WBGT into a linear combination of temperature, specific humidity, surface pressure, and terms representing wind and solar radiation effects. These explicit and mathematically tractable relations between WBGT and more intuitively understandable variables enable leveraging established theories and methods to understand the driving mechanisms of WBGT changes. We apply the framework to understand the physical drivers of regional WBGT scaling with global warming and extreme WBGT synoptic events. The sensitivity framework also provides a customizable approach to develop locally tuned linear approximations of WBGT, with clear expectations regarding the direction and magnitude of the induced biases. It can also be used to diagnose sources of biases in existing simplified WBGT approximations.
DOI: 10.1029/2024jd042195
Authors: Qinqin Kong, Matthew Huber
Institutions: Purdue University West Lafayette, Stanford University
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
SDG: Climate action
Open Access status: hybrid
Estimated APC paid: $4,070
Awards: G1270836760, G184917953, Innovations at the Nexus of Food, Energy, and Water Systems (INFEWS: U.S.-China): A multi-scale integrated modeling approach to managing the transition to sustainability, CyberTraining: CIU:Cross-disciplinary Training for Findable, Accessible, Interoperable, and Reusable (FAIR) science
OpenAlex ID: W4408320215