Retrieval of Atmospheric Water Vapor Density With Fine Spatial Resolution Using Three-Dimensional Tomographic Inversion of Microwave Brightness Temperatures Measured by a Network of Scanning Compact Radiometers

Padmanabhan, Sharmila; Reising, Steven C.; Vivekanandan, J.; Iturbide-Sanchez, Flavio

doi:10.1109/tgrs.2009.2031107

Cited by 26 publications

(21 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The HATPRO was chosen because of its ability to measure all its channels in parallel and, therefore, perform a relatively rapid scan. The CMR has been used in the past for tomographic measurements of water vapor (Padmanabhan et al 2009). Since many weather centers and research programs use the twochannel radiometers, they are also included in this study.…”

Section: A Radiometer Characteristics and Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Padmanabhan et al (2009) claim to have retrieved 3D water vapor patterns by tomography with a resolution of 500 m in the horizontal and 500-1000 m in the vertical, but verification remains difficult. To make this verification, an observation system simulation experiment (Masutani et al 2010) has been used to evaluate the use of tomography to derive water vapor fields (Padmanabhan et al 2009;Steinke et al 2014). For example, Steinke et al (2014) used a large-eddy simulation model to investigate the improvement of using a tomographic retrieval of water vapor using two radiometers to retrieve a 2D water vapor field compared to the use of a single radiometer.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the Challenges of Tomography Retrievals of a 2D Water Vapor Field Using Ground-Based Microwave Radiometers: An Observation System Simulation Experiment

Meunier

Turner

Kollias

2015

Journal of Atmospheric and Oceanic Technology

View full text Add to dashboard Cite

Two-dimensional water vapor fields were retrieved by simulated measurements from multiple groundbased microwave radiometers using a tomographic approach. The goal of this paper was to investigate how the various aspects of the instrument setup (number and spacing of elevation angles and of instruments, number of frequencies, etc.) affected the quality of the retrieved field. This was done for two simulated atmospheric water vapor fields: 1) an exaggerated turbulent boundary layer and 2) a simplified water vapor front. An optimal estimation algorithm was used to obtain the tomographic field from the microwave radiometers and to evaluate the fidelity and information content of this retrieved field.While the retrieval of the simplified front was reasonably successful, the retrieval could not reproduce the details of the turbulent boundary layer field even using up to nine instruments and 25 elevation angles. In addition, the vertical profile of the variability of the water vapor field could not be captured. An additional set of tests was performed using simulated data from a Raman lidar. Even with the detailed lidar measurements, the retrieval did not succeed except when the lidar data were used to define the a priori covariance matrix. This suggests that the main limitation to obtaining fine structures in a retrieved field using tomographic retrievals is the definition of the a priori covariance matrix.

show abstract

Section: A Radiometer Characteristics and Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the Challenges of Tomography Retrievals of a 2D Water Vapor Field Using Ground-Based Microwave Radiometers: An Observation System Simulation Experiment

Meunier

Turner

Kollias

2015

Journal of Atmospheric and Oceanic Technology

View full text Add to dashboard Cite

show abstract

“…Recently, an expansion of the use of scanning radiometers in atmospheric research has been observed. Scanning radiometers have been used in studies of temperature and water vapour in the boundary layer (Martin et al, 2006a;Crewell and Löhnert, 2007;Schween et al, 2011) and in tomographic retrieval of cloud liquid water and water vapour (Huang et al, 2008;Padmanabhan et al, 2009). In particular, co-scanning radarradiometer measurements are gaining a lot of attraction due to the complimentary nature of their observations.…”

Section: Introductionmentioning

confidence: 99%

Biases caused by the instrument bandwidth and beam width on simulated brightness temperature measurements from scanning microwave radiometers

et al. 2013

View full text Add to dashboard Cite

Abstract. More so than the traditional fixed radiometers, the scanning radiometer requires a careful design to ensure high quality measurements. Here the impact of the radiometer characteristics (e.g., antenna beam width and receiver bandwidth) and atmospheric propagation (e.g. curvature of the Earth and vertical gradient of refractive index) on scanning radiometer measurements are presented. A forward radiative transfer model that includes all these effects to represent the instrument measurements is used to estimate the biases. These biases are estimated using differences between the measurement with and without these characteristics for three commonly used frequency bands: K, V and W-band. The receiver channel bandwidth errors are less important in K-band and W-band. Thus, the use of a wider bandwidth to improve detection at low signal-to-noise conditions is acceptable at these frequencies. The biases caused by omitting the antenna beam width in measurement simulations are larger than those caused by omitting the receiver bandwidth, except for V-band where the bandwidth may be more important in the vicinity of absorption peaks. Using simple regression algorithms, the effects of the bandwidth and beam width biases in liquid water path, integrated water vapour, and temperature are also examined. The largest errors in liquid water path and integrated water vapour are associated with the beam width errors.

show abstract

“…The various steps of the algorithm to make the technique robust and useful will be presented at the conference. The feasibility to asses the non homogeneity of the atmosphere in a 2-D problem by simply scanning in elevation the sky brightness temperature will be discussed, as a first step toward a 3-D tomography of the atmosphere which would require more radiometers scanning both in elevation and azimuth as reported in [2,3].…”

Section: Introductionmentioning

confidence: 99%

A tomographic approach to the retrieval of the atmospheric specific attenuation coefficient from measured brightness temperature

Bosisio¹,

Mattioli²,

Pierdicca³

2012

2012 IEEE International Geoscience and Remote Sensing Symposium

View full text Add to dashboard Cite

The authors propose an inversion scheme devoted to the retrieval of the atmospheric specific absorption coefficient based on data collected by a ground-based microwave radiometer. The technique processes elevation scans. The vertical plan is modelled by allocating M bins in the vertical directions. The forward modelling is defined by linearization of the radiative transfer equation around a reference model of the atmospheric parameter pattern. The goal is to estimate the atmospheric attenuation along the vertical path 3 km away from the radiometer location, where a transponder calibration device for the nadir looking RA-2 altimeter on board of the ENVISAT satellite is positioned. Estimation is performed through inversion of the brightness temperature values observed at different elevation angles, provided a proper parameterization of the model space. According to the agreement of the reference model to the actual conditions two cases are given: either the solution is acceptable or it is not reliable and a different inversion scheme is to be implemented. © 2012 IEEE

show abstract

Retrieval of Atmospheric Water Vapor Density With Fine Spatial Resolution Using Three-Dimensional Tomographic Inversion of Microwave Brightness Temperatures Measured by a Network of Scanning Compact Radiometers

Cited by 26 publications

References 34 publications

On the Challenges of Tomography Retrievals of a 2D Water Vapor Field Using Ground-Based Microwave Radiometers: An Observation System Simulation Experiment

On the Challenges of Tomography Retrievals of a 2D Water Vapor Field Using Ground-Based Microwave Radiometers: An Observation System Simulation Experiment

Biases caused by the instrument bandwidth and beam width on simulated brightness temperature measurements from scanning microwave radiometers

A tomographic approach to the retrieval of the atmospheric specific attenuation coefficient from measured brightness temperature

Contact Info

Product

Resources

About