Mr. Basim Zafar Profile

Basim Zafar

Graduate Student at Colorado State Univ

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 | 22 December 2004 Paper

Global study of bright band structure as observed from spaceborne precipitation radar

Basim Zafar, V. Chandrasekar

Proceedings Volume 5654, (2004) https://doi.org/10.1117/12.578310

KEYWORDS: Reflectivity, Radar, Statistical analysis, Neurons, Associative arrays, Visualization, Shape analysis, Visual analytics, Data modeling, Dielectrics

Read Abstract +

Bright band is perhaps one of the most widely known radar signatures for a long time. Extensive research has been reported in the literature, documenting various features of bright bands. Nevertheless it has always been a challenge to obtain a clear classification of the underlying structure of the vertical profile of reflectivity from radar observations. Classifying the radar profiles of bright band to a limited set will be helpful to further this goal. In this study the Self Organizing Map (SOM) technique is used to classify bright band observed from the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). The SOM forms a non-linear mapping of the data to a two-dimensional grid map that can be used as an exploratory analysis tool for generating hypotheses on the shape, and characteristics of the vertical profiles of bright bands. Observation of reflectivity profiles in bright band obtained from the TRMM-PR at 125 m vertical resolution are analyzed and visualized with the SOM. Basic descriptions of the vertical structure are extracted from the TRMM-PR bright band region data, and the corresponding statistics are presented in this paper. Statistics of bright band thickness, peak reflectivity, snow reflectivity, rain reflectivity, and the sharpness of bright bands are studied at a global scale over the tropics. The global classification map provides a unique tool to quantitatively classify bright band region. The methodology and results of the analysis are presented in this paper.

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