Lecture 2: Trace gases and aerosols Flashcards
(12 cards)
Aerosols
= Particles suspended in the atmosphere
▪ The particles can be either solid or liquid
▪ Contributes to cloud formation and air pollution, such as smog
▪ Two types of aerosols:
➢ Natural (wildfire smoke, volcanic emissions, desert and soil dust, etc.)
➢ Anthropogenic (industrial emissions, biomass burning etc.)
Trace gases
= gases present in the atmosphere in very low concentration
(typically < 0.1 %)
▪ ≃ gases other than nitrogen, oxygen and argon (> 99.9 % of the atmosphere)
▪ Main gases monitored with RS: O3, HCHO, NO2, SO2, CO
▪ Two types of trace gases:
➢ Natural (biogenic processes, oceanic emissions, volcanic emissions, etc.)
➢ Anthropogenic (fossil fuel combustion, mining, biomass burning, industrial activity, etc.)
Remote sensing of trace gasses
Trace gases and aerosols are commonly detected thanks to their absorption and thermal emission properties
Trace gases
▪ Selection of band(s) at absorbed wavelength
and at not absorbed wavelength
▪ Difficult for some gases (overlapping signature
characteristics)
▪ Characteristics of absorption spectra also depend on P/T conditions (hence, on altitude)
▪ In practice, complex algorithms used to infer quantities (density, partial pressure, column amount)
The column burden of gases measured with satellite RS is expressed in different units,
depending on the gas
➢ For NO2 and HCHO = 1015 molecule/cm2
➢ For ozone and SO2 = Dobson Unit (DU)
1 DU = 2.69 x 1016 molecules / cm2
(= 0.01 mm of ozone at standard P/T (i.e., 105 Pa / 273.15 K) )
Planck’s Law
Planck’s Law
▪ Blackbody (perfect emitter, perfect absorber)
▪ Planck’s Law describes how the intensity of emitted radiation depends on wavelength and temperature.
▪ Higher temperatures → more radiation emitted overall.
▪ The peak wavelength shifts to shorter values as temperature increases.
This relation allows us to:
▪ Use the shape of the emission curve to identify temperature (via brightness temperature).
▪ Detect gases and aerosols through their absorption features in the emitted spectrum.
▪ Monochromatic evolution of the intensity of
radiation as a function of temperature
with:
Bλ (T)= (2hc^2/λ^5)/(e^(hc/(λkT)) −1)
h = Planck’s constant (6.626 x 10-34 J s)
k = Bolzmann’s constant (1.381 x 10-23 J/K)
▪ Physical dimensions of intensity (power per unit area per unit solid angle) per unit wavelength
→ W m-2 µm-1 sr-1
Brightness temperature
Planck’s law lets you estimate of the temperature of an object, based on the amount of energy that it radiates. This is the brightness temperature.
Brightness Temperature Difference (BTD)
Compare BT at two thermal infrared bands: 10.8 µm (BT₁₁) and 12.0 µm (BT₁₂).
Normal condition (no ash):
For water/ice clouds: BT₁₁ > BT₁₂ (12 µm absorbed more).
With volcanic ash:
Ash absorbs more at 10.8 µm, so BT₁₁ < BT₁₂.
⇒ BTD = BT₁₁ – BT₁₂ < 0 → indicates ash cloud presence.
Why it works:
Ground and regular clouds emit similarly at both wavelengths.
Ash alters this pattern due to selective absorption, allowing detection.
Underestimations (make BTDash positive)
▪ Moisture rich environment and ash water
content
▪ Cold environment and cold volcanic
clouds → ice formation
▪ High zenith angle
Overestimations (make BTDcloud negative)
▪ Mineral dust clouds
▪ Desert conditions with dry atmosphere
▪ Night-time thermal relaxation
▪ High-altitude meteorological cloud
convection
▪ Misalignment between bands at 11 and 12 µm
Alternative method for volcanic ash detection:
RSTash (Robust Satellite Technique)
RSTash (Robust Satellite Technique):
→ Uses a time series of satellite images to understand normal BTD behavior.
→ Detects anomalies that deviate from the daily pattern → likely ash.
Alternative method for volcanic ash detection:
3- or 4-band methods
3- or 4-band methods:
→ Combine multiple thermal bands to better separate clouds vs. ash.
→ Use simple equations or thresholds to enhance ash signal.
Alternative method for volcanic ash detection:
Dynamic BTD thresholds
Dynamic BTD thresholds:
→ Adjust the BTD cutoff based on local water vapor content.
→ Makes ash detection more adaptive and reliable.
GOES-17
▪ Geostationary satellite imagery (NOAA, U.S.A.)
▪ Spatial resolution (km): 0.5 (red), 1 (blue, NIR), 2 (NIR, SWIR, TIR)
▪ Temporal resolution: 10 minutes
▪ EO instrument = ABI (Advanced Baseline Instrument)
Sentinel-5 Precursor (S5P)
▪ Sun synchronous satellite imagery (Copernicus Programme, ESA)
▪ Mission objective = atmospheric RS, continuity of previous ENVISAT mission
▪ Instrument = TROPOMI (Tropospheric Monitoring Instrument)
▪ Spatial resolution (km): 21x28 (UV1), 7x7 (UV, VIS, NIR), 7x1.8 (NIR2)
▪ Temporal resolution: 1 day
Google Earth Engine
= cloud platform for Earth Science data and analysis
▪ Catalogue of various satellite image collections and geospatial datasets (mostly rasters)
▪ Data analysis capabilities (online platform [JavaScript] or Python API)
▪ Processing performed on GEE servers (users only need an internet connection and a web browser)
▪ Free for academic and research use (commercial licences available)