Atmospheric-sensitive

Relating to or characterized by a significant reaction or responsiveness to changes or variations in atmospheric conditions. This includes, but is not limited to, temperature, humidity, pressure, wind, and precipitation. It can describe physical objects, biological organisms, chemical reactions, or technological systems that are affected by and potentially adjusted based on changes in the surrounding air or the gases that make up the atmosphere. This sensitivity may manifest as altered performance, degradation, or even failure depending on the scale of change within the atmosphere.

Atmospheric-sensitive meaning with examples

• The old barometer, being atmospheric-sensitive, predicted the impending storm with remarkable accuracy. As the air pressure plummeted, the needle on its dial dropped dramatically, alerting the seasoned sailor to batten down the hatches. This ability to react to subtle shifts in atmospheric pressure was essential for navigating the treacherous seas and avoiding the worst of the approaching tempest.
• Certain architectural designs are inherently atmospheric-sensitive. The innovative building materials used in the construction, while aesthetically pleasing, proved surprisingly vulnerable to humidity. The frequent rain of the region led to significant structural issues. Such examples show how designers must consider climatic variation when selecting materials to avoid expensive repairs or even structural collapse.
• Many agricultural crops are highly atmospheric-sensitive. The delicate balance of temperature, rainfall, and sunlight directly affects their growth cycles and yields. Farmers have to constantly monitor weather patterns. Prolonged droughts or sudden frosts can devastate harvests and significantly impact the food supply and the economy. Understanding this is crucial for effective farming.
• The new weather satellites boast extremely atmospheric-sensitive instruments, capable of detecting minute changes in atmospheric composition. These cutting-edge tools provide crucial data for climate modeling and understanding global weather patterns, offering a deeper understanding of the environment. This data helps in providing more accurate weather forecasts, and it is crucial for effective climate research.