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IB DP Physics 2025 SL Study Notes

2.2.2 Albedo and the Solar Constant

IB Syllabus focus:

'Explaining albedo as a measure of the average energy reflected off a macroscopic system, calculated as:
albedo = total scattered power / total incident power

  • Discussing the daily variation in Earth’s albedo due to factors such as cloud formations and latitude

  • Understanding the solar constant S and its significance

  • Explaining that the incoming radiative power depends on the projected surface of a planet along the direction of the path of the rays, resulting in a mean value of the incoming intensity being:
    S / 4'

Albedo

Definition and Calculation

Albedo is a quintessential concept in climatology and meteorology. It represents the fraction of solar energy reflected off a surface back into space. The term originates from the Latin word ‘albus’, meaning white, indicating its association with reflective surfaces. The equation

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FAQ

Human activities can significantly impact the Earth’s albedo. Urbanisation, deforestation, and changes in land use can lead to alterations in the Earth's surface reflectivity. For instance, replacing natural forests with buildings or agricultural land often reduces albedo, leading to increased solar energy absorption and potentially higher local temperatures. Additionally, pollution and aerosols can affect cloud albedo, influencing the amount of solar radiation reflected or absorbed by clouds. Understanding the effects of human activities on albedo is essential for assessing anthropogenic contributions to climate change and developing strategies to mitigate adverse impacts.

The Earth’s terrain plays a crucial role in albedo measurement. Different terrains have distinct albedos; for example, snowy and icy surfaces have high albedos due to their high reflectivity, while forests and oceans have lower albedos as they absorb more solar energy. The variation in terrain types globally contributes to the heterogeneous nature of the Earth’s overall albedo. Accurate measurement and modelling of albedo thus require considering the diverse terrains and their individual reflective properties to gain a comprehensive understanding of the Earth's energy balance and the resulting climatic and weather patterns.

Yes, changes in Earth’s albedo can indeed provide feedback mechanisms in the climate system. For example, as global temperatures rise, ice and snow melt at higher latitudes, reducing the albedo and leading to increased solar energy absorption and further warming, known as the ice-albedo feedback. Conversely, changes in vegetation and land use can either increase or decrease albedo, impacting local and regional climates. These feedback mechanisms can amplify or dampen climatic changes, making the understanding of albedo dynamics integral to predicting and mitigating the impacts of climate change and variability.

The angle of the Sun affects Earth's albedo throughout the day by changing the intensity and distribution of incoming solar radiation. During midday, when the Sun is at its zenith, solar radiation strikes the Earth’s surface more directly, leading to lower albedo because a smaller proportion of the energy is reflected back into space. In contrast, during the early morning and late afternoon, the Sun is lower in the sky, and solar radiation strikes the Earth at a more oblique angle, increasing albedo as a larger proportion of energy is reflected. This diurnal variation is a key factor in daily temperature changes.

Seasonal changes significantly impact the Earth's albedo. In winter, higher latitudes experience increased snow and ice cover, leading to a rise in albedo as these surfaces are highly reflective. Conversely, in summer, the melting of snow and ice reduces the Earth’s albedo. This seasonal variation in albedo affects the energy balance, as a higher albedo means more solar energy is reflected back into space, leading to cooler temperatures, while a lower albedo results in more energy absorption and warmer temperatures. Thus, understanding seasonal albedo fluctuations is crucial for predicting and analysing temperature variations and climate patterns.

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