PIn. I. An operational nonlinear physical inversion algorithm for precipitable and cloud liquid water estimate in nonraining conditions over sea

Migliorini, Stefano; Nativi, Stefano

doi:10.1109/36.974992

Cited by 2 publications

(7 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Equations (2) and (3) are the corrected retrieval models, utilising a two and a three-channel approach, respectively. The authors reported a reduced estimated standard error equal to 1.5 kg/m 2 for equation (2) and to 1.45 kg/m 2 for equation (3).…”

Section: A Ssm/i Pw Statistical Algorithmsmentioning

confidence: 96%

“…Starting from a new developed fast nonlinear physical inversion algorithm [3] an operative procedure has been developed in order to estimate atmosphere parameters over the Mediterranean basin. The main design parameters of the procedure were speed and flexibility.…”

Section: Operative Pin Proceduresmentioning

confidence: 99%

“…The utilised atmosphere forward model is fully described in [3]. In particular, it considers that the standard atmospheric temperature profile in the first 25 kilometres, at the Mediterranean latitudes, may be supposed to vary linearly with height below the tropopause height z tp and to become constant upwards.…”

Section: A Forward Model 1) Atmospherementioning

confidence: 99%

See 2 more Smart Citations

PIn. II. Comparative evaluation of SSM/I and TMI precipitable water estimate for the Mediterranean Sea

Nativi

Migliorini

2001

IEEE Trans. Geosci. Remote Sensing

Self Cite

View full text Add to dashboard Cite

To estimate integrated precipitable water vapour along with liquid water path and water vapour effective profile (i.e. standard atmospheric profile approximation), utilising the SSM/I and TMI radiometers, an operative procedure was developed and assessed. This procedure is based on a fast nonlinear physical inversion algorithm (PIn) developed by the authors. A large data-set of near-coincident TMI and SSM/I data acquisitions were collected and used to supply the procedure. Retrieved parameters were compared against retrievals achieved with well-accepted statistical algorithms, and consistency between TMI and SSM/I retrievals was confirmed. As far as TMI and SSM/I precipitable water retrieving consistency is concerned, this research revealed a linear relationship up to 20 kg/m 2 and a general overestimate of TMI retrieving, for higher values. A new algorithm for obtaining integrated precipitable water from TMI brightness temperatures was introduced and the goodness of its accuracy was reported. The procedure proved to be reliable and portable and its integrated precipitable water vapour retrieving was assessed to be as accurate as the best radiometric retrieving algorithms, reported in literature. For SSM/I data, developed procedure liquid water path estimates seemed to be in good agreement with statistical retrievals. Eventually the procedure provided effective water vapour vertical profiles which belong to a deterministic distribution area characterised by an upper and lower limit; it was confirmed that SSM/I and TMI vertical profile distribution areas mainly overlap even if they are characterised by different sensitivities to profile parameters. Index Terms-Passive microwave remote sensing, Integrated precipitable water vapour, TMI, SSM/I, Data fusion, Liquid water path I. INTRODUCTION The knowledge of the water cycle in the atmosphere is very useful for several applications, such as: weather forecasting, latent heat flux estimate, sea-atmosphere interaction. An additional process now being accounted for in some circulation models is the role of moist convection in transporting not only heat and moisture, but also momentum and chemical species over large distances in the vertical. Important remotely sensed parameters, related to the water cycle, are water vapour (WV), liquid and ice water content along with atmospheric temperature and pressure. The knowledge of these parameters-especially if obtained along

show abstract

Section: A Ssm/i Pw Statistical Algorithmsmentioning

confidence: 96%

Section: Operative Pin Proceduresmentioning

confidence: 99%

See 1 more Smart Citation

PIn. II. Comparative evaluation of SSM/I and TMI precipitable water estimate for the Mediterranean Sea

Nativi

Migliorini

2001

IEEE Trans. Geosci. Remote Sensing

Self Cite

View full text Add to dashboard Cite

show abstract

“…The inversion module solves a direct model equation (carried out from the utilised forward model) by means of an inversion model. 1 This module is supplied with a first guess of parameters to be retrieved, and satellite measured brightness temperatures of an entire satellite scene. 2 For the entire scene, the following parameter images are generated:…”

Section: Pin Operative Proceduresmentioning

confidence: 99%

“…1 Starting from such technique, an operative Procedure (named PIn, for Physical Inversion) has been developed and assessed to estimate integrated precipitable water vapour along with liquid water path and water vapour effective profile, utilising both the SSM/I and TMI radiometers. 2 The consistency of water vapour (WV) and liquid water path (LWP), estimated from both radiometers was examined, utilising a fast nonlinear physical inversion scheme developed for this purpose.…”

Section: Introductionmentioning

confidence: 99%

An operational procedure for precipitable and cloud liquid water estimate in non-raining conditions over sea: study on the assessment of the nonlinear physical inversion algorithm

Nativi

Ballestrero

Mazzetti

2004

Remote Sensing of Clouds and the Atmosphere IX

View full text Add to dashboard Cite

In a previous work, an operative procedure to estimate precipitable and liquid water in non-raining conditions over sea was developed and assessed. The procedure is based on a fast non-linear physical inversion scheme and a forward model; it is valid for most of satellite microwave radiometers and it also estimates water effective profiles. This paper presents two improvements of the procedure: first, a refinement to provide modularity of the software components and portability across different computation system architectures; second, the adoption of the CERN MINUIT minimisation package, which addresses the problem of global minimisation but is computationally more demanding. Together with the increased computational performance that allowed to impose stricter requirements on the quality of fit, these refinements improved fitting precision and reliability, and allowed to relax the requirements on the initial guesses for the model parameters.The re-analysis of the same data-set considered in the previous papers showed an improvement of the consistency of the estimates from SSM/I and TMI radiometers and of the agreement with the statistical references. The described work confirmed the stability of the overall approach of the operative Procedure and prepared for new satellite generations (e.g. AMSR-E).

show abstract

PIn. I. An operational nonlinear physical inversion algorithm for precipitable and cloud liquid water estimate in nonraining conditions over sea

Cited by 2 publications

References 24 publications

PIn. II. Comparative evaluation of SSM/I and TMI precipitable water estimate for the Mediterranean Sea

PIn. II. Comparative evaluation of SSM/I and TMI precipitable water estimate for the Mediterranean Sea

An operational procedure for precipitable and cloud liquid water estimate in non-raining conditions over sea: study on the assessment of the nonlinear physical inversion algorithm

Contact Info

Product

Resources

About