About the K L University:
K L University is a deemed university located in Vaddeswaram,
Guntur District, Andhra Pradesh. K L University consists of 11
academic departments and six schools, with strong emphasis on
scientific and technological research. The University is recognized
by the All India Council for Technical Education and the University
Grants Commission; has accreditation from the National Board
of Accreditation, accredited A-grade by the National Assessment
and Accreditation Council, and is ISO 9001 – 2000 certified. K L
University is known for its academic excellence, and is awarded the
“BEST PRIVATE UNIVERSITY” in South India.
The Department of Atmospheric Science offers M.Tech. program in
“Space Technology and Atmospheric Science”, undertakes research in
both the areas of lower and upper atmospheric science. The department
is DST-FIST funded and currently carrying out 4 research projects
sponsored by DST, ISRO, etc.
Satellite picture of weather over India
Weather:
Weather is mostly dry and pleasant during December and January. Mean maximum
and minimum temperatures will be around 29 C and 19 C.
Social interest of the Region:
AMARAVATHI: Ancient and medieval
Amaravathi was the political and cultural
capital of the Satavahanas, Ikshavakus,
Eastern Chalukyas, Telugu Cholas, the
Kota chiefs, Pallavas, Kakatiyas, the Reddy
kings and the Vijayanagara empire for over
1,800 years from the 2nd century BC to the
16th century AD. Amaravathi will be the new
capital for the new state of Andhra Pradesh.
Machilipatnam: Also known as
Masulipatnam or Bandar or Masula (in short),
is a city on the southeastern or Coromandel
Coast of India. Situated on one of the mouths
of the river Krishna at the Bay of Bengal,
Machilipatnam is the administrative center
of Krishna District, has a 17th century port
and is known for carpet-weaving industry;
rice and oilseed growing, and manufacture of
scientific instruments.
KANAKADURGA TEMPLE: is a
famous hindu temple of Goddess Kanaka
Durga, located on the Indrakeeladri hill on the
banks of Krishna river in Vijayawada. Ancient
scriptures described the deity as Swayambhu,
(self-manifested) in Triteeyakalpa.
Contact Information:
Prof. D.V. Bhaskar Rao,
Course Director,
SERB School on Computational Meteorology
K L University, Green Fields,
Vaddeswaram, Guntur District-522502,A.P.
Tel. (office): 0863-2399999, Extn:1599
Mobile:08500525906
Fax : 0863-2388999
E-mail: dvbrao@kluniversity.in
dvbrao@gmail.com
Satellite image of
a tropical cyclone
Designed by Animation Department, KLU
Important Dates
Last Date for Receipt of Application: 31 October 2015
Intimation toSelected Candidates: Acceptance Deadline: 7 November 2015
15 November 2015
About the School:
The objective of this SERB School on Computational Meteorology
is to provide holistic information on meteorology, synergising
atmospheric physics and dynamics, numerical methods,
visualization, and computer programming; along with briefs on
UNIX operating system that would lead to empower the participants
to access and apply weather and climate models, analyse large data
sets and use of visualization software. This program is meant for
young faculty, researchers and senior students to create perception
on recent advancements; provide state-of-art training and mentor
and motivate them for pursuing their career in meteorology and
contribute to Indian scientific research. The participants will have
class room lectures from subject experts and will be exposed to
computer based problem solving through Fortran programming and
shell-scripts that include hands-on training in high performance
computing, data analysis, and visualization. Participants will be
encouraged to prepare Fortran programs and execute them on
computer workstations and will be exposed to work with KLUHigh Performance Computational facility (HPC).
The faculty for the course will be eminent scientists/ teachers drawn
from various scientific research/ educational institutes.
Eligibility: M.Sc. (completed) and M. Tech. (Final semester) students,
Ph.D. Students, and young faculty in Meteorology/ Oceanography/
Physics/Atmospheric Science/ Computer Science/ Mathematics/
Statistics; B.E./ B.Tech. (Completed students) in Computer Science/
Civil Engineering/ Mechanical Engineering.
Desirable: Knowledge of computer programming and UNIX/LINUX
operating systems.
How to Apply:
Intended participants should fill up and submit the application online
at the website (http://www.kluniversity.in/SERBSchool) along with
uploading a forwarding letter and a photograph or send duly filled
application (Annexure) as a scanned copy along digital photograph
through email to dvbrao@kluniversity.in
Participants:
Boarding and Lodging:
The number of participants will be around 30. The targeted
participants are senior Master degree students, active researchers,
young scientists from national institutions and young faculty from
Universities.
Free boarding and shared accommodation will be provided to the
participants.
Travelling Allowance:
Curriculum:
Selected candidates, attending the entire course, will be paid TA and
DA as per rules. TA will be limited to 3AC sleeper class train fare (bus
fare between the places not connected by train or where timings are
inconvenient) plus local auto-fare en route to reach the venue of the
school.
The lectures will focus on providing knowledge-skill with currently
used weather models, visualization tools, and high performance
computing. Participants are expected to improve their proficiency
in analysing various disparate sources of data (e.g., remotely
sensed satellite products, in situ observations, model simulations,
climate data) and running weather prediction models. Knowledge
dissemination will include basics of atmospheric physics,
atmospheric dynamics, numerical methods that would form basis
for atmospheric modeling and computer software concerning
visualization such as GrADS (Grid Analysis and Display System)
and CDO (Climate Data Operators). Participants are expected to
improve their knowledge such that they will be better equipped
to work either in government organizations such as IMD,
NCMRWF, INCOIS, ISRO or research institutions such as IITM,
IITs and Universities and private industries that require expertise
in atmospheric modeling, weather and climate applications, high
performance science computation and/or sophisticated data analysis
and visualization.
ANNEXURE
Faculty:
Venue:
K L University campus, Green Fields, Vaddeswaram, Guntur District,
A.P., INDIA. 522 502.
How to Reach:
K L University campus is located at about 9 km from Vijayawada
railway/ bus station and 23 km from Vijayawada Airport. Vijayawada
is well connected to all parts of India by Air, Rail and Road.
Information on the SERB School on Computational Meteorology
is available on the KL University website http:/www.kluniversity.
in/SERBSchool
SERB SCHOOL ON
COMPUTATIONAL METEOROLOGY
K L University
15 December 2015 to 9th January 2016
th
APPLICATION FORM
01) Name: .........................................................................................................
02) Date of Birth: ..........................................................................................
03) Affiliation:.................................................................................................
04) Address.....................................................................................................
............................................................................................................................
Phone:..................................................... Fax: ...............................................
E-mail: ..............................................................................................................
05) Educational qualifications: (Starting from higher degree)
Degree University
Class
Marks
Year of
/Institute
awarded completion
06) Experience
a. Teaching/ Research:.............................................................................
07) List of Research Publications: (enclose a separate sheet)
08) Details of the SERB/SERC schools attended in the past, if any:
................................................................................................................................
09) Any other information :........................................................................
10) Expected utilization of knowledge from this SERB school :
..............................................................................................................................
11) Signature of the Applicant: ..................................................................
12) Recommendation of the Head of the Dept./ Institution with
Signature and Seal
Signature:................................................. Designation: ...............................
Address: ..............................................................................................................
Date :....................................
Place :............................................