Ms. Carmen Verdes Profile

Carmen Verdes

at Univ Bremen

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 18 April 2003 Paper

Derivation of molecular species profiles, atmospheric temperature profile, and instrumental pointing from SMILES instrument

Carmen Verdes, Stefan Buehler, Klaus Kuenzi

Proceedings Volume 4882, (2003) https://doi.org/10.1117/12.462393

KEYWORDS: Error analysis, Molecules, Knowledge management, Atmospheric modeling, Precision measurement, Instrument modeling, Receivers, Antennas, Solids, Aerospace engineering

Read Abstract +

Recent progress in sub-millimeter wave receiver technology gives the possibility to drastically improve the quality of limb sounding data by use of a superconductor-insulator-superconductor (SIS) mixer element. This receiver will detect molecular spectra with a signal-to-noise ratio one order of magnitude better than the conventional ambient--temperature Schottky receiver. SMILES (Superconductor Submillimeter-wave Limb-emission Sounder) is proposed by the Communications Research Laboratory and the National Space Agency of Japan, with technical support from the National Astronomical Observatory, and with scientific support from the University of Bremen, in order to demonstrate the new sub-millimeter wave technology in space, and to conduct the measurements of limb-emission sounding for a group of molecular species profiles. In order to anticipate the performance of the instrument, retrieval simulations are carried out. Synthetic measurements, as will be recorded by the SMILES instrument, are generated by the use of a forward model. These are then inverted, using an inversion model, in order to derive the variables of interest, such as molecular species profiles (e.g., O₃, ClO, HCl), atmospheric temperature profile, or a first order instrumental pointing correction (i.e., a pointing offset). The applied inversion algorithm is the Optimal Estimation Method (OEM). The advantage of the OEM is that it allows a formal error analysis needed for a general error characterization of retrieval performance. The error analysis takes into consideration the total statistical error, the measurement error, the vertical altitude resolution, and the correlation between the retrieved quantities. The altitude domain of a good measurement sensibility is defined by the measurement response.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years