Atmospheric Physics

3,340 questions on Atmospheric Physics, part of Physical Sciences. Below are 12 of them in full, each answered in plain language.

Questions & explanations

1. Compare the charge transferred by a typical first stroke and a long continuing current according to Berger's data, and explain the practical effect on grounding systems.

Berger's parameters show that a first stroke typically transfers about 5 coulombs of charge, while a long continuing current (lasting hundreds of milliseconds) can transfer over 300 coulombs. The charge determines how much energy is delivered to the grounding point. For a ground electrode, high charge flow can cause the soil to heat up, dry out, and become less conductive, raising the grounding resistance. A first stroke with its short duration may not heat the soil much, but a continuing current can make the ground rod's performance drop significantly. Therefore, grounding systems for lightning protection are designed to handle the total charge, not just the peak current, often using multiple rods or conductive concrete to spread the heat.

2. Compare the Langmuir chain reaction in warm clouds to the ice crystal process in cold clouds.

The Langmuir chain reaction works in warm clouds where temperatures are above freezing. It relies entirely on liquid drop collisions and breakup. In cold clouds (below 0°C), ice crystals can grow at the expense of supercooled water droplets because ice has a lower vapour pressure. Once an ice crystal forms, it grows quickly and may fall, collecting more droplets or breaking into splinters. Both processes create many large precipitation particles rapidly. The key difference is that the warm rain chain reaction needs some initial large drops and the drop breakup mechanism, while the cold cloud process relies on the phase change between water and ice. Both lead to rain, but one happens with liquid only, the other with ice and liquid mixed.

3. Compare the activation of pure water droplets and salt-containing particles.

Pure water droplets, even if they form, would require very high supersaturations to grow—often over 200%. In the real atmosphere, supersaturation rarely goes above 1%, so pure water cannot form droplets without nuclei. Salt-containing particles, however, can activate at just 0.1% to 1% supersaturation because the salt lowers the water vapour pressure over the droplet. This is the solute effect: fewer water molecules escape from a salt solution compared to pure water. So, a salt particle grows steadily with increasing humidity and activates easily. In contrast, a pure water embryo would simply evaporate unless the air is extremely supersaturated. That is why natural cloud droplets always form on CCN that contain soluble material.

4. What is the hygroscopic growth factor of an aerosol particle?

The hygroscopic growth factor tells us how much an aerosol particle (a tiny solid or liquid speck in the air) grows when it takes up water. It is the ratio of the particle's wet size to its dry size. For example, a factor of 1.5 means the wet diameter is one and a half times the dry diameter. This factor depends on how much salt or other water‑loving stuff is in the particle. Salt particles like sea salt have high factors because salt draws in water. Soot or dust have lower factors because they do not dissolve well. Scientists measure this factor at a given relative humidity (the amount of water vapour in the air compared to what the air can hold). Knowing the factor helps us predict how particles scatter light and form clouds.

5. What is numerical weather prediction (NWP) and how are clouds included in it?

Numerical weather prediction (NWP) uses math equations on computers to forecast the weather. Clouds are included by calculating how water vapor turns into liquid or ice and how clouds move and change. But cloud processes are very small, so models often use simple rules, called parameterizations, to represent their overall effect. These parameterizations estimate the rate of rain, the amount of cloud cover, and how clouds affect sunlight and heat. Because clouds are complicated, even the best NWP models sometimes get cloud forecasts wrong. NWP models use a grid over the Earth, and each grid box has mean values, so small clouds are not seen directly. That is why predicting the exact cloud type and timing is still a hard problem.

6. Compare the Albrecht effect and the Twomey effect: how are they different?

The Twomey effect makes clouds brighter by increasing droplet number and decreasing droplet size for a fixed liquid water path. It is instantaneous: as soon as the cloud forms, it is more reflective. The Albrecht effect then kicks in: because droplets are smaller, precipitation is suppressed, so the cloud does not rain out quickly. This prolongs the cloud's life and can increase cloud cover. Both start from the same change—more CCN—but the Twomey effect changes albedo directly; the Albrecht effect changes cloud fraction and lifetime. Both lead to more sunlight reflected, but through different physical pathways. The Albrecht effect is harder to measure and model because it involves rain processes and cloud dynamics over time.

7. What are Berger's lightning current parameters, and where did they come from?

Berger's lightning current parameters are a set of typical values for lightning currents measured on two tall towers in Switzerland. They include the peak current, the time to peak, the maximum current steepness (how fast it changes), and the charge transferred. The measurements were made by Karl Berger and his team over many years using instruments on the San Salvatore and Monte Orselina towers. They recorded both upward and downward flashes. The parameters are often given separately for first strokes, subsequent strokes, and continuing currents. These values became a worldwide reference because they were the first large-scale systematic lightning current data set and are still used in lightning protection standards today.

8. How does adding more pollution particles change a cloud's reflectivity according to the Twomey effect?

Adding more pollution particles means there are more CCN. When a cloud forms with the same amount of liquid water, the water condenses onto a larger number of nuclei. This results in many small droplets instead of fewer large ones. For a given total water mass, small droplets have a larger total surface area. More surface area means more sunlight is scattered back to space. So, the cloud appears whiter and brighter from above. This higher reflectivity is called higher albedo. It means the cloud reflects a bigger fraction of the incoming solar energy, which has a cooling effect on the climate. Over polluted regions, clouds often have higher droplet concentrations and are more reflective than clouds over clean regions.

9. Why does the leader velocity influence the peak current of the following return stroke?

When the leader touches the ground or a tall object, the return stroke starts. The return stroke current peak is roughly linked to the charge deposited along the leader channel. A faster leader usually deposits less charge per unit length because it spends less time at each point. This leads to a lower charge density, so when the return stroke neutralizes that charge, the resulting current peak is smaller. Conversely, a slower leader or one that pauses near ground deposits more charge, causing a bigger return stroke peak. Additionally, the leader speed sets the speed of the return stroke wave, which also affects how the current builds. Measurements show a negative correlation between leader velocity and peak current.

10. How would you expect the Twomey effect to differ in very clean air versus moderately polluted air?

In very clean air, there are few CCN. The cloud forms with low droplet numbers, maybe 50 per cubic centimetre, and the droplets grow quite large, around 20 to 30 micrometres. Adding a small amount of pollution brings more CCN, so the droplet count jumps to a few hundred, and sizes drop to about 10 micrometres. This causes a big increase in cloud albedo. But further pollution has a smaller effect because the cloud is already bright and cannot get much brighter. So, the Twomey effect is strongest when going from very clean to slightly polluted conditions. In already heavily polluted air, adding even more particles gives only a tiny boost to reflectivity because the droplets are already near the smallest possible size.

11. How does the current steepness (di/dt) from Berger's parameters influence the voltage induced in a nearby loop, and why is this important for aircraft?

The current steepness, measured in amperes per microsecond, tells how quickly the current changes. A fast-changing current creates a changing magnetic field that can induce voltage in any nearby loop of wire. According to Faraday's law, the induced voltage is proportional to the steepness. In aircraft, lightning can attach to the fuselage, and the current flows along the skin. But internal wires can form loops that couple with the magnetic field, leading to dangerous transient voltages that damage electronics. Berger found that subsequent strokes have much higher steepness (often above 100 kiloamperes per microsecond) than first strokes, so aircraft designers must shield sensitive circuits against these fast pulses.

12. Give an example of a practical situation where the simple TL model is still good enough for estimating lightning-induced voltages on overhead power lines.

When lightning hits the ground near a power line, the induced voltage comes mostly from the fast rise portion of the return stroke current. For a lightning strike tens to hundreds of meters away, the induced voltage is strongly linked to the current steepness at the channel base. Because the TL model correctly captures this steepness and its radiation field, it gives a good first approximation. For example, to design surge arresters on a low-voltage distribution line, engineers can use the TL model with a typical subsequent stroke current (fast rise) to compute the peak induced voltage. The errors from neglecting current decay are small for such a short segment, and the simple model saves a lot of computation time.

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