Surface wind speed retrieval using passive microwave polarimetry: the dependence on atmospheric stability

Pospelov, M.N.

doi:10.1109/36.536533

Cited by 18 publications

(6 citation statements)

References 9 publications

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“…For example, stability has shown to be important for radar backscatter [Keller et al, 1985;Smirnov, 1995] and for remote sensing of near-ocean surface wind speed by passive microwave polarimetry [Pospelov, 1996]. Finally, sea-air temperature difference has been shown to play a role in determining the statistics of sea surface mean-square slope, as measured by a scanning laser glint technique [Shaw and Chumside, 1997].…”

Section: Introductionmentioning

confidence: 99%

Sea‐air and boundary layer temperatures measured by a scanning 5‐mm‐wavelength radiometer: Recent results

Westwater¹,

Han²,

Irisov³

et al. 1998

Radio Science

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Section: Introductionmentioning

confidence: 99%

Sea‐air and boundary layer temperatures measured by a scanning 5‐mm‐wavelength radiometer: Recent results

Westwater¹,

Han²,

Irisov³

et al. 1998

Radio Science

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“…While above and below the ocean's surface, turbulent mechanisms are responsible for heat and momentum exchanges, the energy fluxes across the air/sea interface are due only to molecular processes [Schluessel et al, 1990]. Marine boundary layer measurements provide important information for this study and many authors have investigated the relationship between the main variables: wind speed, sea surface temperature (SST), atmospheric stability, and sea surface roughness [Smith, 1988;Hwang and Shemdin, 1998;Smirnov, 1994;Pospelov, 1996;Shaw and Churnside, 1997]. Webster and Lukas [1992] recognized that uncertainties in the air/sea temperature difference represent a major uncertainty in assessing energy balance, and encouraged field experiment in the tropical western Pacific (TWP).…”

Section: Introductionmentioning

confidence: 99%

Air temperature profile and air/sea temperature difference measurements by infrared and microwave scanning radiometers

Cimini¹,

Shaw²,

Westwater

et al. 2003

Radio Science

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[1] A system of two scanning radiometers has been developed by the National Oceanic and Atmospheric Administration/Environmental Technology Laboratory and deployed on the NOAA R/V Ronald H. Brown during the Nauru99 cruise in the tropical western Pacific in June and July 1999. The system is composed of a high-quality temperature sensor and two independent, vertically scanning radiometers, measuring atmospheric and oceanic emission in the microwave (MW), and infrared (IR) regions. Both radiometers measure emission from a uniformly mixed atmospheric gas: oxygen for MW (60 GHz) and carbon dioxide for IR (14.2 mm). The high atmospheric absorption at these frequencies allows one calibration point from the horizontal atmospheric view using the in situ temperature sensor measurements as a reference. The signal at all other scan angles is scaled relative to that at the horizontal, resulting in a differential technique that is independent of calibration offset. This technique provides continuous and accurate estimates of boundary layer air temperature profile and air/sea temperature difference. The main advantage of this technique is that the water skin temperature can be measured at different optical depths without disturbing the skin layer (magnitude order of microns). We first compare radiometric data collected during the experiment with simulations obtained by atmospheric and oceanic radiative transfer models. We then use statistical inversion techniques to estimate air temperature profiles from upward looking measurements, based on an a priori data set of about 1500 ship-based radiosonde observations. For the ''well-posed'' problem of air/sea temperature difference estimation, we apply a physical retrieval algorithm to the downward looking measurements, accounting for air attenuation and sea surface roughness. Then we show retrieval results and evaluate the achieved accuracy. Finally, we compare radiometric estimates with in situ measurements, discussing similarities and discrepancies.

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“…By disregarding T COS to simplify the notation and substituting equation (19) in equation (13), the atmospheric parameters go out of the integrals. Therefore, it is possible to assume even for T s B a model function which is simply linearly related to the atmospheric radiative parameters T mDN and γ(0, ∞) and contains two harmonics as for the dependence on ϕ : Table 2.…”

Section: A Model Function For Correcting Atmospheric Effects In Radiomentioning

confidence: 99%

“…The simulation of the apparent brightness temperature vector at the platform height has to include both the upwelling and downwelling atmospheric radiation together with the bistatic scattering of downwelling brightness temperatures due to the rough sea surface as done in [9] and in the more recent paper by Yeong et al [32]. To some extent, even the atmospheric stability in the boundary layer can have an impact on the polarimetric passive measurements [19].…”

Section: Introductionmentioning

confidence: 99%

On The Effect of Atmospheric Emission upon the Passive Microwave Polarimetric Response of an Azimuthally Anisotropic Sea Surface

Pierdicca¹,

Marzano²,

Pampaloni³

2000

PIER

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Surface wind speed retrieval using passive microwave polarimetry: the dependence on atmospheric stability

Cited by 18 publications

References 9 publications

Sea‐air and boundary layer temperatures measured by a scanning 5‐mm‐wavelength radiometer: Recent results

Sea‐air and boundary layer temperatures measured by a scanning 5‐mm‐wavelength radiometer: Recent results

Air temperature profile and air/sea temperature difference measurements by infrared and microwave scanning radiometers

On The Effect of Atmospheric Emission upon the Passive Microwave Polarimetric Response of an Azimuthally Anisotropic Sea Surface

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