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Microwave radiometer
Microwave radiometer
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Humidity and Temperature Profiler (HATPRO-SUNHAT) at the Barbados Clouds Observatory.

A microwave radiometer (MWR) is a radiometer that measures energy emitted at one millimeter-to-metre wavelengths (frequencies of 0.3–300 GHz) known as microwaves. Microwave radiometers are very sensitive receivers designed to measure thermally-emitted electromagnetic radiation. They are usually equipped with multiple receiving channels to derive the characteristic emission spectrum of planetary atmospheres, surfaces or extraterrestrial objects. Microwave radiometers are utilized in a variety of environmental and engineering applications, including remote sensing, weather forecasting, climate monitoring, radio astronomy and radio propagation studies.

Using the microwave spectral range between 1 and 300 GHz provides complementary information to the visible and infrared spectral range. Most importantly, the atmosphere and also vegetation is semi-transparent in the microwave spectral range. This means components like dry gases, water vapor, or hydrometeors interact with microwave radiation but overall even the cloudy atmosphere is not completely opaque in this frequency range.[1]

For weather and climate monitoring, microwave radiometers are operated from space as well as from the ground.[1][2] As remote sensing instruments, they are designed to operate continuously and autonomously often in combination with other atmospheric remote sensors like for example cloud radars and lidars. They allow the derivation of important meteorological quantities such as vertical temperature and humidity profiles, columnar water vapor quantity, and columnar liquid water path with a high temporal resolution on the order of minutes to seconds under nearly all weather conditions.[3] Microwave radiometers are also used for remote sensing of Earth's ocean and land surfaces, to derive ocean temperature and wind speed, ice characteristics, and soil and vegetation properties.[1][2]

History

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Radiometric scanning for Venus by Mariner 2, for its December 1962 flyby of that planet

First developments of microwave radiometer were dedicated to the measurement of radiation of extraterrestrial origin in the 1930s and 1940s. The most common form of microwave radiometer was introduced by Robert Dicke in 1946 in the Radiation Laboratory of Massachusetts Institute of Technology to better determine the temperature of the microwave background radiation. This first radiometer worked at a wavelength 1.25 cm and was operated at the Massachusetts Institute of Technology. Dicke also first discovered weak atmospheric microwave absorption using three different radiometers (at wavelengths of 1.0, 1.25 and 1.5 cm).[4]

Soon after satellites were first used for observing the atmosphere, microwave radiometers became part of their instrumentation. In 1962 the Mariner-2 mission was launched by NASA to investigate the surface of Venus including a radiometer for water vapor and temperature observations. In following years a wide variety of microwave radiometers were tested on satellites. The launch of the Scanning Multichannel Microwave Radiometer in 1978 became an important milestone in the history of radiometry. It was the first time a conically scanning radiometer was used in space; it was launched into space on board the NASA Nimbus satellite.[5] The launch of this mission gave the opportunity to image the Earth at a constant angle of incidence that is important as surface emissivity is angle dependent. In the beginning of 1980, new multi-frequency, dual-polarization radiometric instruments were developed. Two spacecraft were launched which carried instruments of this type: Nimbus-7 and Seasat. The Nimbus-7 mission results allowed to globally monitor the state of ocean surface as well as surface covered by snow and glaciers. Today, microwave instruments like the Advanced Microwave Sounding Unit (AMSU) and the Special Sensor Microwave Imager / Sounder (SSMIS) are widely used on different satellites.

Ground-based radiometers for the determination of temperature profiles were first explored in the 1960s and have since improved in terms of reduced noise and the ability to run unattended 24/7 within worldwide observational networks.[6] Review articles,[7][8] and a detailed online handbook[9] are available.

Microwave spectrum: The black lines show the simulated spectrum for a ground-based receiver; the colored lines are the spectrum obtained from a satellite instrument over the ocean measuring at horizontal (blue) and vertical (red) linear polarization. Solid lines indicate simulations for clear-sky (cloud-free) conditions, dotted lines show a clear-sky case with a single layer liquid cloud. The vertical lines indicate typical frequencies used by satellite sensors like the AMSU radiometer.

Principle of operation

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Solids, liquids (e.g. the Earth's surface, ocean, sea ice, snow, vegetation) but also gases emit and absorb microwave radiation. Traditionally, the amount of radiation a microwave radiometer receives is expressed as the equivalent blackbody temperature also called brightness temperature. In the microwave range several atmospheric gases exhibit rotational lines. They provide specific absorption features shown at a figure on the right which allow to derive information about their abundance and vertical structure. Examples for such absorption features are the oxygen absorption complex (caused by magnetic dipole transitions) around 60 GHz which is used to derive temperature profiles or the water vapor absorption line around 22.235 GHz (dipole rotational transition) which is used to observe the vertical profile of humidity. Other significant absorption lines are found at 118.75 GHz (oxygen absorption) and at 183.31 GHz (water vapor absorption, used for water vapor profiling under dry conditions or from satellites). Weak absorption features due to ozone are also used for stratospheric ozone density and temperature profiling.

Besides the distinct absorption features of molecular transition lines, there are also non-resonant contributions by hydrometeors (liquid drops and frozen particles). Liquid water emission increases with frequency, hence, measuring at two frequencies, typically one close to the water absorption line (22.235 GHz) and one in the nearby window region (typically 31 GHz) dominated by liquid absorption provides information on both the columnar amount of water vapor and the columnar amount of liquid water separately (two-channel radiometer). The so-called „water vapor continuum" arises from the contribution of far away water vapor lines.

Larger rain drops as well as larger frozen hydrometeors (snow, graupel, hail) also scatter microwave radiation especially at higher frequencies (>90 GHz). These scattering effects can be used to distinguish between rain and cloud water content exploiting polarized measurements[10] but also to constrain the columnar amount of snow and ice particles from space[11] and from the ground.[12]

Design

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A microwave radiometer consists of an antenna system, microwave radio-frequency components (front-end) and a back-end for signal processing at intermediate frequencies.

The key element is the Dicke switch, which alternately switches between the antenna and a cryogenic load at a known temperature. A calculation from the change in noise level, gives the sky temperature.

The atmospheric signal is very weak and the signal needs to be amplified by around 80 dB. Therefore, heterodyne techniques are often used to convert the signal down to lower frequencies that allow the use of commercial amplifiers and signal processing. Increasingly low noise amplifiers are becoming available at higher frequencies, i.e. up to 100 GHz, making heterodyne techniques obsolete. Thermal stabilization is highly important to avoid receiver drifts.

Usually ground-based radiometers are also equipped with environmental sensors (rain, temperature, humidity) and GPS receivers (time and location reference). The antenna itself often measures through a window made of foam which is transparent in the microwave spectrum to keep the antenna clean of dust, liquid water and ice. Often, also a heated blower system is attached the radiometer which helps to keep the window free of liquid drops or dew (strong emitters in the MW) but also free of ice and snow.

Schematic diagram of a microwave radiometer using the heterodyne principle.

As seen from the figure above, after the radiofrequency signal is received at the antenna it is downconverted to the intermediate frequency with the help of a stable local oscillator signal. After amplification with a Low Noise Amplifier and band pass filtering the signal can be detected in full power mode, by splitting or splitting it into multiple frequency bands with a spectrometer. For high-frequency calibrations a Dicke switch is used here.

Microwave Radiometer calibration performed by employees of Research Center of R&D in Optoelectronics, Magurele (Romania).

Calibration

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The calibration of microwave radiometer sets the basis for accurate measured brightness temperatures and therefore, for accurate retrieved atmospheric parameters as temperature profiles, integrated water vapor and liquid water path. The simplest version of a calibration is a so-called "hot-cold" calibration using two reference blackbodies at known, but different, "hot" and "cold" temperatures, i.e. assuming a linear relation between input power and output voltage of the detector. Knowing the physical temperatures of the references, their brightness temperatures can be calculated and directly related to detected voltages of the radiometer, hence, the linear relationship between brightness temperatures and voltages can be obtained.

The temperatures of the calibration targets should be chosen such that they span the full measurement range. Ground-based radiometers usually use an ambient temperature target as "hot" reference. As a cold target one can use either a liquid nitrogen cooled blackbody (77 K) or a zenith clear sky TB that was obtained indirectly from radiative transfer theory.[8] Satellites use a heated target as "hot" reference and the cosmic background radiation as "cold" reference. To increase the accuracy and stability of MWR calibrations further calibration targets, such as internal noise sources, or Dicke switches can be used.

Time series from 14 April 2015 for (a) brightness temperatures measured at 7 different frequencies in the K (right) and V (left) bands, (b) retrieved vertically Integrated Water Vapor (IWV) and cloud Liquid Water Path (LWP), (c) temperature profiles from 0 to 5 km, (d) absolute humidity profiles from 0 to 5 km.

Retrieval of temperature and water vapor profiles

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The retrieval of physical quantities using microwave radiometry (e.g. temperature or water vapor profiles) is not straightforward and comprehensive retrieval algorithms (using inversion techniques like optimal estimation approach) have been developed.

Temperature profiles are obtained by measuring along the oxygen absorption complex at 60 GHz. The emission at any altitude is proportional to the temperature and density of oxygen. As oxygen is homogeneously distributed within the atmosphere and around the globe, the brightness temperature signals can be used to derive the temperature profile. Signals at the center of the absorption complex are dominated by the atmosphere closest to the radiometer (when ground-based). Moving into the window region, the signal is a superposition from close and far regions of the atmosphere. The combination of several channels contains therefore information about the vertical temperature distribution. A similar approach is used to derive vertical profiles of water vapor utilizing its absorption line at 22.235 GHz and also around the 183.31 GHz absorption line.

Satellite instrumentation

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Microwave instruments are flown on several polar orbiting satellites for Earth observation and operational meteorology as well as part of extraterrestrial missions.

One distinguishes between imaging instruments that are used with conical scanning for remote sensing of the Earth surface, e.g. AMSR, SSMI, WINDSAT, and sounding instruments that are operated in cross-track mode, e.g. ATMS/MHS. The first type uses lower frequencies (1–100 GHz) in atmospheric windows to observe sea-surface salinity, soil moisture, sea-surface temperature, wind speed over ocean, precipitation and snow. Other than optical earth observation sensors, passive microwave can be used do determine the snow water equivalent (liquit water content of snow) by comparing various frequencies. [13][14] The second type is used to measure along absorption lines to retrieve temperature and humidity profile. Furthermore, limb sounders, e.g., MLS, are used to retrieve trace gas profiles in the upper atmosphere.

Other examples of microwave radiometers on meteorological satellites include the Special Sensor Microwave/Imager, Scanning Multichannel Microwave Radiometer, WindSat, Microwave Sounding Unit and Microwave Humidity Sounder. The Microwave Imaging Radiometer with Aperture Synthesis is an interferometer/imaging radiometer capable of resolving soil moisture and salinity over small regions of surface.

Spaceprobe instruments

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By the 2010s four microwave radiometers have been flown on interplanetary spacecraft.[15] The first was Mariner 2, which used a microwave instrument to determine the high surface temperature of Venus was coming from the surface not higher up in the atmosphere.[16][15] There are/were also radiometers on the Juno Jupiter probe, the Rosetta comet probe, and Cassini-Huygens.[15][17]

The Juno probe, launched in 2011, is characterizing the atmosphere of Jupiter using a microwave radiometer suite.[8] The Microwave Radiometer (MWR) instrument on Juno has several antennas observing in several different microwave wavelengths to penetrate the top cloud layer of the planet, and detect features, temperatures, and chemical abundances there.[17]

Ground-based networks

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MWRnet is a network established in 2009 of scientists working with ground-based microwave radiometers. MWRnet aims to facilitate the exchange of information in the MWR user community fostering the participation to coordinated international projects. In the long run, MWRnet’s mission aims at setting up operational software, quality control procedures, data formats, etc. similar to other successful networks such as EARLINET, AERONET, CWINDE.

References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
A microwave radiometer is a highly sensitive receiver equipped with an antenna that measures the thermal emitted by natural sources in the frequency spectrum, typically from 0.3 GHz to 300 GHz, and expresses these measurements in terms of . This passive instrument detects weak natural emissions without transmitting signals, relying on the principle that all matter above emits radiation proportional to its physical temperature. The operation of a radiometer is grounded in radiometric principles, where it quantifies the power of incoming signals using components such as a Dicke switch or total power detector to achieve high sensitivity and stability, often calibrated against known references like hot and cold loads. Measurements are influenced by the target's , which varies by material—such as high for (around 0.8) and lower for or —and the instrument's antenna , which integrates over its . Unlike active sensors like , radiometers penetrate clouds, , and to varying depths depending on , with lower bands (e.g., 500–1400 MHz) enabling deeper or ice probing up to several meters. Microwave radiometers play a crucial role in , providing data on atmospheric , cloud liquid water, , sea surface salinity, and thickness through satellite missions like NASA's and ESA's SMOS. They also support , such as profiling Jupiter's atmosphere in NASA's Juno mission, and ground-based for tropospheric temperature and humidity profiles. Advances in techniques, including multi-frequency and polarimetric capabilities, enhance accuracy for climate monitoring and environmental research, though challenges like interference require ongoing mitigation.

Introduction

Definition and scope

A microwave radiometer is a passive receiver designed to detect and quantify natural microwave emissions originating from thermal radiation in the atmosphere, Earth's surface, or other media, operating within the frequency range of 0.3 to 300 GHz. These instruments measure the weak emitted by objects due to their physical , without transmitting any signals of their own. In contrast to active sensors such as radars, which actively emit pulses and analyze the backscattered echoes, microwave radiometers rely solely on receiving ambient thermal emissions for applications. This passive approach focuses on non-ionizing electromagnetic waves in the , enabling observations through clouds, , and other obscuring media that would hinder optical or systems. The primary output of a microwave radiometer is typically expressed as antenna temperature, which represents the equivalent temperature of a matched load that would produce the same power at the receiver input, or more commonly as after corrections for atmospheric and instrumental effects. These observables provide a direct measure of the radiative energy from the scene, scaled to temperature units for easier interpretation in contexts like weather monitoring and .

Importance and applications

Microwave radiometers play a pivotal role in by enabling all-weather and day-night observations, which penetrate clouds and operate independently of solar illumination, facilitating continuous global monitoring of Earth's surface and atmosphere. This capability is essential for studies, where they provide long-term datasets on , , and surface properties to track environmental changes and validate climate models. In , they support rapid assessment of events like floods and oil spills by detecting surface alterations unaffected by atmospheric interference. For , these instruments aid in monitoring and land conditions to inform sustainable practices. In , microwave radiometers are instrumental for profiling rates and atmospheric , offering insights into patterns and hydrological cycles through passive measurements of natural emissions. benefits from their ability to estimate and , which are crucial for understanding circulation and heat transport, with resolutions down to approximately 1 km from airborne platforms. In the , they map snow and ice extent, including snow water equivalent and freeze-thaw dynamics in Arctic-boreal regions, where such data reveal feedbacks amid climate warming. Emerging applications in leverage retrievals to monitor conditions and optimize irrigation, enhancing crop yield forecasting in vulnerable areas like . The societal impact of microwave radiometers extends to models, where their observations of , , and improve forecast accuracy and support early warning systems for extreme events. They contribute to the , particularly those related to climate action (SDG 13) and clean water (SDG 6), by enabling data-driven policies for and resource equity.

Operating Principles

Fundamental concepts

Microwave radiometers detect and measure the emitted by objects and the atmosphere in the portion of the , which arises from the random motion of charged particles at the physical of the emitting body. This thermal emission follows , which states that for a body in , the at a given equals its absorptivity at that frequency, implying that good absorbers are also good emitters. In the regime, where typically range from 1 to 100 GHz and photon energies are much smaller than thermal energies (hν << kT), the Planck blackbody radiation law simplifies to the Rayleigh-Jeans approximation, given by Bν(T)2ν2kTc2B_\nu(T) \approx \frac{2\nu^2 k T}{c^2}, where Bν(T)B_\nu(T) is the spectral radiance, ν\nu is , TT is , kk is Boltzmann's constant, and cc is the speed of light; this linear relationship between radiance and temperature enables direct inference of from measured power. At its core, a microwave radiometer functions as a sensitive receiver that quantifies the random thermal noise power from the scene, which is inherently stochastic and follows Gaussian statistics. The primary figure of merit for sensitivity is the noise-equivalent temperature difference (NEDT), denoted as ΔT\Delta T, which represents the smallest detectable change in the scene's brightness temperature and is given by ΔT=TsysBτ,\Delta T = \frac{T_\mathrm{sys}}{\sqrt{B \tau}},
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