summary of the work done by participants as part of ... from kalpana-1 satellite, indicating the...

Satellite Meteorology and OceAnography Research and Training

Summary of the Work Done by Participants as part of

SMART Research Programme

Name Ms. Pampi Malakar

Affiliation

Qualification

Program

Duration

Department of Physics, Assam University, Silchar

Ph.D. Scholar

Advance Research Programme

Three months

Project Title Indian satellites radiance assimilation in WRF model to

study Tropical Cyclones over North Indian Ocean.

Impact of Indian satellite radiance data on tropical

cyclone track prediction over the North Indian Ocean is

studied using numerical weather prediction model

(ARW-WRF). Radiance data from INSAT-3D Imager &

Sounder and Megha-Tropiques SAPHIR are assimilated

using 3D-VAR technique for this purpose. Results from

this study have been compared with Indian

Meteorological Department and Joint Typhoon Warning

Centre best cyclone track data sets. Results from this

study are encouraging.

Track of the tropical cyclone MADI with

(Yellow) and without (Red) assimilation

of satellite data. Green and Blue lines

show the JTWC and IMD best tracks.

Name Mr. Aakash Tripathi

Affiliation

Qualification

Program

Duration

Indian Institute of Technology (BHU), Varanasi

B.Tech (Chemical Engineering) III year

Data Exploration Programme

Two months

Project Title A study on overshooting cloud tops over the Indian

region using Kalpana-1 VHRR data.

Occasionally deep convective clouds can overshoot the

tropical tropopause (~ 16 km in tropics). In this study,

Kalpana-1 VHRR data is used to study the occurrence of

such overshooting over Chennai and its surrounding for

different months of 2015. The brightness temperature

difference between WV and IR channels is used as the

indicator of overshooting clouds.

WV and IR brightness temperature

difference from Kalpana-1 satellite,

indicating the presence of overshooting

cloud tops over Chennai for different

months of 2015.

Name Mr. Kishore Kowtham. I

Affiliation

Qualification

Program

Duration

Institute of Remote Sensing

Anna University, Chennai

M.E. (Remote sensing & Geomatics)

Research Initiation Programme

One month

Project title Analysis of winter monsoon rainfall over South Indian

Peninsula using INSAT-3D rainfall data.

Performance of winter (or Northeast) monsoon in 2014

and 2015 are studied using INSAT-3D derived IMSRA

and HE rainfall data sets. Both these data captured the

Chennai heavy rainfall event of 1 December 2015 well.

These two data sets captured the sub-seasonal

variability of winter monsoon rainfall over the South

Indian Peninsula very well.

01 December 2015 Chennai heavy rainfall

(mm) as observed by INSAT-3D HE

rainfall data

Name Mr. K. R. Vijay

Affiliation

Qualification

Program

Duration

Institute of Remote Sensing

Anna University, Chennai

M.E. (Remote sensing & Geomatics)


One month

Project title A study on hot weather condition over Peninsular India

in 2016 using INSAT-3D Land Surface Temperature (LST)

data.

One month (15 April – 15 May 2016) of INSAT-3D LST

data has been analysed to study the hot weather

condition prevailed over South Indian Peninsula. LST

was considerably higher in the second half of April 2016

when compared to first half of May2016.

Average LST (C) during 15 April – 15 May

2016 at 1400 IST.

Name Mr. Piyush Pallav

Affiliation

Qualification

Program

Duration

Central University of Jharkhand

Integrated M. Sc (Applied Physics) 6th semester


One month

Project title A study on spatio-temporal distribution of fog over

North India using INSAT-3D data.

Spatio-temporal distribution of fog over North India

has been studied using INSAT-3D fog data for two

winter seasons (2014-15, 2015-16). Strong year-to-year

variability in foggy days and spatial coverage are

noticed in INSAT-3D data. Fog coverage was maximum

in January 2016 when compared to January 2015.

Prevalence of conducive meteorological conditions

over North India are attributed for the dense fog

condition which persisted in January 2016.

Fractional coverage of foggy days for the

month of January 2016 at 0430 IST.

Name Ms. Manushi J. Shah

Affiliation

Qualification

Program

Duration

Indus University, Ahmedabad

B. Arch (8th Semester)


One month

Project title An exploratory study on Human discomfort over

selected Indian cities using ISRO AWS data.

Discomfort caused by important meteorological

parameters namely temperature and relative humidity

has been assessed for 5 major cities across India during

the hot weather season of 2016. The ISRO-AWS data are

used to compute the Discomfort Index. Among the 5-

cities analysed, Dehradun is the most comfortable city

throughout the year.

Diurnal evolution of Discomfort Index

over Ahmedabad for different days of

May 2016.

Name Mr. Hiren S. Lekhadiya

Affiliation

Qualification

Program

Duration

SV – NIT, Surat

Ph. D Scholar


One month

Project title Assimilation of INSAT-3D Sounder retrieved

temperature and humidity profiles in WRF model: A

case study over South Gujarat region.

INSAT-3D sounder retrieved temperature and humidity

profiles have been assimilated in WRF model to study

their impact on heavy rainfall forecast. A case of heavy

rainfall that occurred over Gujarat and Madhya Pradesh

during 25 July 2015 has been considered for the study.

Results suggested positive improvements in 24-hr

accumulated rainfall forecast due to the assimilation of

INSAT-3D data.

(a) Control minus GSMaP 24-hr

accumulated rainfall [mm] (b) Experiment

minus GSMaP 24-hr accumulated rainfall

[mm] and (c) Improvement parameter

(%).

Name Mr. Subrota Halder

Affiliation

Qualification

Program

Duration

Indian Institute of Technology, Bhubaneswar

M.Sc. (Atmospheric & Oceanic Science)


One month

Project title Evolution of Arabian sea warm pool in 2015-2016 using

INSAT-3D Sea Surface Temperature data.

INSAT-3D derived Sea Surface Temperature data has

been used to study the evolution of warm pool in the

Arabian Sea prior to the onset of summer monsoon in

2015 and 2016. Present study suggested that the warm

pool was stronger in 2016 as compared to 2015. Spatial

pattern and intensity of warm pool captured by INSAT-

3D match well with that observed by NOAA-OI-SST.

Sea Surface Temperature (C) showing

warm pool over the Arabian sea. Date: 24

April 2015.

Name Mr. Debojit Sarkar

Affiliation

Qualification

Program

Duration


M.Sc (Atmospheric & Oceanic Science)


One month

Project title Onset and progress of Indian summer monsoon in 2015

as observed by INSAT-3D rainfall data.

Four months (June to August 2015) of daily INSAT

Multi-spectral Rainfall Algorithm (IMSRA) data from

INSAT-3D has been analysed to study the onset and

further progress of Indian summer monsoon over

India. IMSRA rainfall indicated monsoon onset on 4

June 2015 which matches well with the onset date

declared by IMD. IMSRA rainfall data clearly captures

the active and break phases of the Indian summer

monsoon.

Arrival of monsoon to Indian west coast

as captured by INSAT-3D IMSRA data.

Date: 4 June 2015.

Name

Affiliation

Qualification

Program

Duration

Mr. Emmanuel Rongmie


M.Sc (Atmospheric & Oceanic Science)


One month

Project title Analysis of hot weather condition over North India

during April 2016 using INSAT-3D LST data.

INSAT-3D Land Surface Temperature (LST) data is used

to study the hot weather condition prevailed over North

India in April 2016. LST was unusually high during 14-16

April and 25 April in 2016. Likely reasons behind the

unusual hot weather condition are advection of hot and

dry air from Pakistan/Afghanistan region, clear-sky

(sunny) condition and presence of lower tropospheric

subsidence.

LST anomaly (°C) during 14-16, April, 2016

(a hot weather period) over the north-

central Indian region at 1400 IST.

Name

Affiliation

Qualification

Program

Duration

Ms. Yamini

Annamalai University, Chidambaram

M.Sc (Geo-informatics)


Three months

Project title Chlorophyll and sea surface temperature distribution

over the North Indian ocean

Sea surface temperature (SST) and Chlorophyll derived

from Satellites [Kalpana-1, Oceansat-2 and Metop-1]

have been analysed over the seas surrounding India

during January to December 2015 using time series

analysis and statistical methods. It is observed that

chlorophyll was high wherever SST was low (associated

with upwelling).

Sea surface temperature (K)

SST (K) over the oceans flanking India on

1 January 2010.

Name

Affiliation

Qualification

Program

Duration

Dr (Ms) G. Kalpana

Department of Applied Geology, University of Madras

Post-Doc


Three months

Project title Estimation of partial Carbon-di-oxide in sea surface

(pCO2) using satellite data in Bay of Bengal Region

Multiple regression analysis is used to relate surface

ocean pCO2 to environmental variables (SST, surface

salinity, and chlorophyll) and used the resulting

equations with inputs from satellite products to provide

an estimate of prediction of surface ocean pCO2.

Scatter plots of observed (SOCAT) vs.

current algorithm pCO2 (µatm) for the Bay

of Bengal region. (Left) Data used for

training (Right) Data used for validation

Name

Affiliation

Qualification

Program

Duration

Mr. Rohit KR Shukla

Indian Institute of Technology, Kharagpur

M. Tech (Earth System Science & Technology)


Nine months

Project title Development of an algorithm for generation of global

analysed wind fields from ScatSat-1 and its application

An algorithm has been developed to generate global

analysed wind vectors (AWV) from SCATSAT-1

observation on daily basis. The optimum interpolation

method is used for generating the AWV. The

comparison with ASCAT, Buoy and ECMWF data sets

shows good agreement with ScatSat-1 derived AWV.

ScatSat-1 analysed wind vectors for 14

October 2016

Name

Affiliation

Qualification

Program

Duration

Mr. Vikash Kumar Sharma




Nine months

Project title A study on diurnal variation of clouds and its associated

features over tropical cyclones in the North Indian

Ocean basins.

The diurnal variation of the Cloud Cover Area (CCA) and

Cloud Top Temperature (CTT) during Tropical Cyclone

(TC) convective cloud systems in the North Indian

Ocean (NIO) basins were estimated using Thermal

Infrared Brightness Temperature (TIR-BT) from Indian

satellite data and best-track data from Indian

Meteorological Department (IMD) for 2008-2016.

Temperature-time plots of mean cloud coverage at particular BT within 500 km from the TC centre (a) using INSAT-3D [2013-2016] and (b) Kalpana-1 [2008-2012] over Bay of Bengal.

Name

Affiliation

Qualification

Program

Duration

Mr. Mayank Mishra




Nine months

Project title Long-term validation and the study on the occurrence

of extreme deep convection and highly reflective clouds

over the Indian region as observed by ScaRaB/Megha-

Tropiques

The instantaneous TOA flux data derived from ScaRaB

radiance measurements are compared with similar data

available from CERES on-board Aqua and Terra

satellites during 2011-2015. Also the occurrence of

extreme deep convective clouds and highly reflective

clouds over the Indian region has been studied using

ScaRaB during the above five year period.

Occurrence (frequency per month) of deep

convective clouds (LW flux <100 Wm-2)

observed by CERES/Aqua and

ScaRaB/Megha-Tropiques in July 2015.

Name

Affiliation

Qualification

Program

Duration

Mr. Tanul Mathur

SV-NIT, Surat

B. Tech (Mechanical Engineering)


Three months

Project title Sea Surface Temperature (SST) Retrieval from Satellite

observations: A Gradient Boosting approach

Use of gradient boosted trees approach for SST retrieval

using INSAT-3D brightness temperatures and other

auxiliary data is attempted. Dataset consisting of

selective 36 days was used for training and the

performance of the model was evaluated on a 4-day

test-dataset. The results obtained show an error of 0.92

K which is better than the standard operational

algorithms.

Buoy Vs Retrieved SST (K)

Name

Affiliation

Qualification

Program

Duration

Mr. Shah Urmay Paragbhai

Nirma University, Ahmedabad

M. Tech (Computer Science)


Four months

Project title A study on estimation and prediction of meteorological

parameters using statistical techniques

Few statistical techniques have been used for the

prediction and estimation of temperature and rainfall.

To forecast the surface temperature, interpolation,

auto-regression, ARIMA model and genetic algorithm

are used. The rainfall prediction is attempted using

decision tree method. These techniques are

implemented using INSAT-3D satellite data and ISRO-

Automatic Weather Station data.

Decision Tree (Machine Learning

Methodology)

Name

Affiliation

Qualification

Program

Duration

Ms. Swathy Sunder

Indian Institute of Technology, Mumbai

M. Tech + Ph. D (Dual Degree)


One month

Project title Analysis of the correlation between Sea Surface Salinity

(SSS) with IRS-P4 OCM derived Chlorophyll and

suspended Sediment

The OCM radiance data were atmospherically corrected

and converted to reflectance at the top of atmosphere.

Then the concentration of suspended sediments and

chlorophyll was computed using empirical exponential

based algorithm. The frame work of the methodology

to analyse the correlation between SSS with TSM and

Chl-a has been formulated.

IRS-P4 OCM derived chlorophyll image for

the Arabian Sea on November 21, 2001

Name

Affiliation

Qualification

Program

Duration

Mr. Bibin Johnson

IIST, Trivandrum

Ph. D


One month

Project title Analysis of the correlation between Sea Surface Salinity

(SSS) with IRS-P4 OCM derived Chlorophyll and

suspended Sediment

In this work, AMVs estimated from Kalpana-1 and

INSAT-3D satellites over the Indian region are

validated. The AMVs have been validated using

radiosonde data as per the CGMS criterion. AMVs are

collocated with nearest radiosonde winds with vertical

distance of 50 hPa and spatial distance of 1° radius. Also

the quality of AMVs is assessed with respect to NCEP

model analyses.

Scatter plot between NCEP model wind speed

and Kalpana-1 AMVs.

Name

Affiliation

Qualification

Program

Duration

Mr. Debashis Paul

Alagappa University, Karaikudi

M. Sc


Four months

Project title Preliminary Study on Role of Oceanic Parameters in

Modulation of Tropical Cyclones

Attempt has been made to study the ocean surface

features and its interaction with cyclones. The SST and

large scale ocean SST fronts which represent the

characteristics ocean skin layer have been analysed.

Also ADT (proxy to the ocean heat content) is analysed.

This analysis during 2011-2013 suggest that SST and its

gradient play a crucial role in intensification/weakening

of tropical cyclone/storm.

Track of tropical cyclone Phailin along with

SST Front field.

Name

Affiliation

Qualification

Program

Duration

Mr. Dhruvil Jakasaniya

C. S. Patel Institute of Technology, Chrottar University

B. Tech (Civil)


Two months

Project title Evaluation of INSAT Multispectral Rainfall Product

During the Indian Summer Monsoon 2016

Performance of the INSAT-Multi-Spectral Rainfall

Algorithm (IMSRA) during summer monsoon season of

2016 has been analysed. IMSRA weekly and monthly

rainfall is calculated over meteorological sub-divisional

scale and rain-maps are generated using Geographical

Information System (GIS) spatial analysis tool. These

maps are compared with rain gauge data of India

Meteorological Department.

IMSRA IMD

Subdivision rainfall map (mm) for the period

07 July 2016 to 13 July 2016

Name

Affiliation

Qualification

Program

Duration

Mr. Kishore Kowtham . I

Institute of Remote Sensing, Anna University, Chennai

M. E (Remote Sensing and Geomatics)


Four months

Project title Analysis of seasonal variability of total ozone over the

Indian Region

Total ozone variabilities over the Indian region

associated with atmospheric circulation patterns such

as Asia Pacific wave, tropical cyclones and upper

tropospheric long waves have been studied using

INSAT-3D total ozone data supported by OMI data

from Aura. Causes behind these variabilities are

examined.

230

250

270

290

310

Dec

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Months

INSAT-3D Total Ozone in different latitudes between 60o E and 100o E - 2015

32 ̊ N to 40 ̊ N 24 ̊ N to 32 ̊ N16 ̊ N to 24 ̊ N 8 ̊ N to 16 ̊ N

Name

Affiliation

Qualification

Program

Duration

Mr. K. R. Vijay

Institute of Remote Sensing, Anna University, Chennai

M. E (Remote Sensing and Geomatics)


Four months

Project title Changes in climatic parameters over the Indian region

due to El Nino.

Rainfall variations over Indian and its surrounding

during El Nino/La Nina events were analysed using

Kalpana-1 and IMD gridded rainfall data. Changes in

temperature, vertical velocity, jet streams, Walker

circulation between El Nino and La Nina events were

analysed. A time series prediction method based on

ARIMA model has been developed to predict Oceanic

Nino index.

Rainfall anomaly (mm) during summer

monsoon season for 2010 to 2013 estimated by

Kalpana-1 satellite

Name

Affiliation

Qualification

Program

Duration

Mr. Patel Atul Kishorbhai

U. V. Patel College of Engineering, Kherva, Mehsana

B. Tech (Compute Science)


Four months

Project title MOPy (Meteorology and Oceanographic Python Based

Library)

MOPy is Meteorological and Oceanographic library for

Python programme language. MOPy is developed to

analyse and visualize satellite data mainly INSAT-3D

data. Apart from INSAT-3D data, it is also capable for

analysing and visualising Kalpana-1 and INSAT-3DR

satellite data. It extracts H5 and NC files. It performs

some basis operations such as display and animation of

satellite imageries, time series plots, histogram analysis,

etc.

Display of INSAT-3D TIR-1 full disk data using

MOPy.

Name

Affiliation

Qualification

Program

Duration

Mr. Mandeep Kumar

Central University of Haryana, Mahendergarh

MCA


Six months

Project title Parallel Implementation of Optimal Interpolation Data

Assimilation Technique for Ocean Wave Model on SAC

HPC

Parallel version of operational data assimilation code

for Wave Watch-3 (WW3) model at SAC is developed.

This is achieved by performing matrix inverse using

parallel recursive block matrix inverse method and

parallel matrix-matrix multiplication. Altimeter derived

SWH is assimilated into the WW3 model to produce the

best representation of the true wave conditions.

Difference between background and

assimilated run. Black line is the assimilated

SARAL/AltiKa tracks.

summary of the work done by participants as part of ... from kalpana-1 satellite, indicating the...

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