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Remote sensing atmospheric boundary layer

Remote sensing atmospheric boundary layer is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Remote sensing atmospheric boundary layer rather than just read about it. In short: Ground-based, flight-based, or satellite-based remote sensing instruments can be used to measure properties of the planetary boundary layer, including boundary layer height, aerosols and clouds. Satellite remote sensing of the atmosphere has the advantage of being able to provide global coverage of atmospheric planetary boundary layer properties while simultaneously providing relatively high temporal sampling rates.

Remote sensing atmospheric boundary layer — main illustration
Remote sensing atmospheric boundary layer — illustration

Key takeaways

  • Remote sensing atmospheric boundary layer belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Remote sensing atmospheric boundary layer to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Remote sensing atmospheric boundary layer from memory before moving on to harder problems.

Reference excerpt

Ground-based, flight-based, or satellite-based remote sensing instruments can be used to measure properties of the planetary boundary layer, including boundary layer height, aerosols and clouds. Satellite remote sensing of the atmosphere has the advantage of being able to provide global coverage of atmospheric planetary boundary layer properties while simultaneously providing relatively high temporal sampling rates. Advancements in satellite remote sensing have provided greater vertical resolution which enables higher accuracy for planetary boundary layer measurements. The radiative forcing for marine boundary layer (MBL) clouds is imperative for understanding any global warming changes. Low-level clouds, including MBL clouds, have the largest net radiative forcing of all clouds.

The albedo of these low level clouds is much higher than the albedo of the underlying ocean surface and correctly modeling these clouds is needed to limit the uncertainty in climate model predictions. The remote sensing of the planetary boundary layer, especially clouds and aerosols within the planetary boundary layer can help verify and improve climate models.

Planetary boundary layer The planetary boundary layer is the portion of the troposphere that is influenced by the interaction with the surface of the earth and will adjust to surface forcings within a timescale of 1 hour. The planetary boundary layer is characterized by turbulence during the daytime and by stability during the night. At the top of the planetary boundary layer, there is a stable layer that is frequently termed the inversion layer as temperature tends to increase with height in contrast to much of the troposphere. The planetary boundary layer can have lower level clouds located around the capping inversion top. The two main types of clouds within the planetary boundary layer are fair-weather cumulus clouds and stratocumulus clouds. The underlying surface primarily determines the type of cloud produced within the planetary boundary layer. The presence of the capping inversion can also trap aerosols within the planetary boundary layer. The increase of anthropogenic aerosols from burning fossil fuels can have significant impacts on precipitation and climate.

Satellite Remote Sensing Satellite measurements have the advantage of being able to sample meteorological variables in regions that have little measurement systems. Many instruments have been created to help observe the atmosphere for both research and weather prediction. One of the first successful satellite missions for weather radar observations was the Television Infrared Observation Satellite (TIROS). This instrument paved the way for more weather satellite systems that utilize the visible, infrared and microwave radiation spectrum. Current remote sensing instruments that can help detect planetary boundary layer phenomenon include the Moderate-Resolution Imaging Spectroradiometer (MODIS) aboard Terra and Aqua as well as CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) aboard CALIPSO. While MODIS and many other satellites are passive remote sensors, active remote sensors such as CALIPSO provide greater accuracy for height retrievals. Satellite measurements have been used to determine the dynamical conditions that produce planetary boundary layer clouds and the climatological regions of where these clouds occur.

Planetary boundary layer clouds

Remote sensing of mesoscale cellular convection Mesoscale cellular convection (MCC) is a form of buoyantly driven convection that can provide the planetary boundary layer with cumulus clouds at the top of the boundary layer. MCC generally occurs over ocean regions and is primarily found off the coasts of major continents particularly in North and South America. MCC is a form of the Bénard cell where the fluid will rise or fall in hexagonal cells creating hexagonal cloud structure. The capping inversion of the planetary boundary layer acts as a lid for the convection creating a horizontal plane for the hexagonal cloud structures. Satellite observations have been imperative for understanding the horizontal scale and the vertical scale of these cloud formations. MCC is generally too small for synoptic scale measurements, but too large for single point measurements. However, satellite observations are able to monitor the development of the cloud patterns because of their large field of view. Satellites images from TIROS helped to highlight one of the main differences between laboratory convection cells and those that occur in the atmosphere. The ratio of the diameter of the hexagon compared to the depth of the cloud was much larger in the atmosphere compared to the same ratio calculated in controlled experiments. This difference showed that viscosity and heat conduction were important for the laboratory measurements, but eddy diffusion of heat and momentum dominated the atmospheric cells. Wind shear must be low to form MCC cells otherwise cloud streaks will form in the direction of the wind shear. The cloud formations that occur as part of MCC can be placed into two categories: open cells and closed cells.

Open cells

Open cells are characterized by a cloud free region in the middle of the hexagonal formation with cloudy regions in the outer edge of the hexagon. The open cell will have slow descending motion in the middle with faster rising motion on the edges forming the hexagonal cloud shape. They tend to form over colder water such as those that exist off the Californian coast. While places such as the Californian coast regularly produce open cellular convection, atmospheric storm systems can also spur the production of open cellular clouds in regions of low climatological production. Open cellular patterns can often be found behind cold fronts in the cold unstable air, and produce multiple cloud types including cumulus congenstus, cumulonimbus, and stratocumulus clouds. However, the open cells formed in subtropical regions are not normally associated with synoptic storms.

Closed cells

… excerpt ends here. Continue reading the full article.

Illustrations

Remote sensing atmospheric boundary layer: MODIS image of closed cellular convection taken southeast of South Africa
MODIS image of closed cellular convection taken southeast of South Africa
Remote sensing atmospheric boundary layer: CALIPSO satellite image showing lidar backscatter and aerosol classification based on the backscatter data.
CALIPSO satellite image showing lidar backscatter and aerosol classification based on the backscatter data.

Worked examples

Example 1 — a first encounter with Remote sensing atmospheric boundary layer

Start with the simplest possible case. Write down what Remote sensing atmospheric boundary layer claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Remote sensing atmospheric boundary layer before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Remote sensing atmospheric boundary layer ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Remote sensing atmospheric boundary layer

In research
Remote sensing atmospheric boundary layer appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Remote sensing atmospheric boundary layer in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Remote sensing atmospheric boundary layer is common in secondary-school and first-year university syllabi. It links to neighbouring topics Boundary layer meteorology, so understanding it makes those chapters shorter.
In everyday life
Look for Remote sensing atmospheric boundary layer outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Remote sensing atmospheric boundary layer in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Remote sensing atmospheric boundary layer means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Remote sensing atmospheric boundary layer out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Remote sensing atmospheric boundary layer in simple terms?

Ground-based, flight-based, or satellite-based remote sensing instruments can be used to measure properties of the planetary boundary layer, including boundary layer height, aerosols and clouds. Satellite remote sensing of the atmosphere has the advantage of being able to provide global coverage of…

Why does Remote sensing atmospheric boundary layer matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Remote sensing atmospheric boundary layer?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Remote sensing atmospheric boundary layer.

Tags

  • Boundary layer meteorology

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