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$20 USD / hora
Bandera de INDIA
vatakara, india
$20 USD / hora
Aquí son las 11:51 p. m.
Se unió el abril 27, 2020
0 Recomendaciones

Ajilesh Parayulla P.

@ajileshparolla

 4,3 (4 comentarios)
4,0
4,0
100%
100%
$20 USD / hora
Bandera de INDIA
vatakara, india
$20 USD / hora
100 %
Trabajos finalizados
82 %
Dentro del presupuesto
100 %
A tiempo
33 %
Tasa de recontratación

Climate/Weather Modeler, Forecast, ML&Data analyst

Experienced in research with a demonstrated history of working in the field of Data Science and Analytics. Skilled in Data analysis and visualization, R Programming, Python for data science, Machine Learning, Linux and Windows, Bash Scripting, GrADS, CDO and NCL, WRF-ARW Modeling. I have taken part in four Govt. of India projects and deliver expected results on time and submitted the report. Skilled in Scientific Paper/Report writing with three international peer-reviewed publications. I have attended many national and international Seminars and Conferences. LinkedIn : [login to view URL] Twitter: [login to view URL]
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Portafolio

7190016
The aim of the project is the simulation of high-resolution climate information for Southern Peninsular India (SPI). Another objective is the projection for the future and studies how extreme events vary in the future under different scenarios. For generating the simulations, CMIP5 data serve as the boundary conditions for the model run. The regional climate model used in RegCM4. Since the quality of the output produced by the regional climate model depends on the boundary conditions, a study was conducted to identify the CMIP5 model that best represents the seasonal climatology and climate variability for the Southern Indian Peninsular domain. Performance metrics were used to test the ability of CMIP5 models to capture the observed monthly mean and variability over the region using MRI-CGCM3 was found to be the best performing among its contemporaries. High-resolution climate simulations were done and analyzed for the selected domain.
High-Resolution Climate/Weather Modelling and Analysis
The aim of the project is the simulation of high-resolution climate information for Southern Peninsular India (SPI). Another objective is the projection for the future and studies how extreme events vary in the future under different scenarios. For generating the simulations, CMIP5 data serve as the boundary conditions for the model run. The regional climate model used in RegCM4. Since the quality of the output produced by the regional climate model depends on the boundary conditions, a study was conducted to identify the CMIP5 model that best represents the seasonal climatology and climate variability for the Southern Indian Peninsular domain. Performance metrics were used to test the ability of CMIP5 models to capture the observed monthly mean and variability over the region using MRI-CGCM3 was found to be the best performing among its contemporaries. High-resolution climate simulations were done and analyzed for the selected domain.
High-Resolution Climate/Weather Modelling and Analysis
The aim of the project is the simulation of high-resolution climate information for Southern Peninsular India (SPI). Another objective is the projection for the future and studies how extreme events vary in the future under different scenarios. For generating the simulations, CMIP5 data serve as the boundary conditions for the model run. The regional climate model used in RegCM4. Since the quality of the output produced by the regional climate model depends on the boundary conditions, a study was conducted to identify the CMIP5 model that best represents the seasonal climatology and climate variability for the Southern Indian Peninsular domain. Performance metrics were used to test the ability of CMIP5 models to capture the observed monthly mean and variability over the region using MRI-CGCM3 was found to be the best performing among its contemporaries. High-resolution climate simulations were done and analyzed for the selected domain.
High-Resolution Climate/Weather Modelling and Analysis
6787696
The work was regarding the research paper. I had to Weather Forecast and Research modelling of precipitation and Lightning Potential Index (LPI) over the Antarctic peninsular region. The simulated output is analyzed using statistical techniques.
WRF Modellig and Data Analysis
The work was regarding the research paper. I had to Weather Forecast and Research modelling of precipitation and Lightning Potential Index (LPI) over the Antarctic peninsular region. The simulated output is analyzed using statistical techniques.
WRF Modellig and Data Analysis
The work was regarding the research paper. I had to Weather Forecast and Research modelling of precipitation and Lightning Potential Index (LPI) over the Antarctic peninsular region. The simulated output is analyzed using statistical techniques.
WRF Modellig and Data Analysis
7190016
The aim of the project is the simulation of high-resolution climate information for Southern Peninsular India (SPI). Another objective is the projection for the future and studies how extreme events vary in the future under different scenarios. For generating the simulations, CMIP5 data serve as the boundary conditions for the model run. The regional climate model used in RegCM4. Since the quality of the output produced by the regional climate model depends on the boundary conditions, a study was conducted to identify the CMIP5 model that best represents the seasonal climatology and climate variability for the Southern Indian Peninsular domain. Performance metrics were used to test the ability of CMIP5 models to capture the observed monthly mean and variability over the region using MRI-CGCM3 was found to be the best performing among its contemporaries. High-resolution climate simulations were done and analyzed for the selected domain.
High-Resolution Climate/Weather Modelling and Analysis
The aim of the project is the simulation of high-resolution climate information for Southern Peninsular India (SPI). Another objective is the projection for the future and studies how extreme events vary in the future under different scenarios. For generating the simulations, CMIP5 data serve as the boundary conditions for the model run. The regional climate model used in RegCM4. Since the quality of the output produced by the regional climate model depends on the boundary conditions, a study was conducted to identify the CMIP5 model that best represents the seasonal climatology and climate variability for the Southern Indian Peninsular domain. Performance metrics were used to test the ability of CMIP5 models to capture the observed monthly mean and variability over the region using MRI-CGCM3 was found to be the best performing among its contemporaries. High-resolution climate simulations were done and analyzed for the selected domain.
High-Resolution Climate/Weather Modelling and Analysis
The aim of the project is the simulation of high-resolution climate information for Southern Peninsular India (SPI). Another objective is the projection for the future and studies how extreme events vary in the future under different scenarios. For generating the simulations, CMIP5 data serve as the boundary conditions for the model run. The regional climate model used in RegCM4. Since the quality of the output produced by the regional climate model depends on the boundary conditions, a study was conducted to identify the CMIP5 model that best represents the seasonal climatology and climate variability for the Southern Indian Peninsular domain. Performance metrics were used to test the ability of CMIP5 models to capture the observed monthly mean and variability over the region using MRI-CGCM3 was found to be the best performing among its contemporaries. High-resolution climate simulations were done and analyzed for the selected domain.
High-Resolution Climate/Weather Modelling and Analysis
6787696
The work was regarding the research paper. I had to Weather Forecast and Research modelling of precipitation and Lightning Potential Index (LPI) over the Antarctic peninsular region. The simulated output is analyzed using statistical techniques.
WRF Modellig and Data Analysis
The work was regarding the research paper. I had to Weather Forecast and Research modelling of precipitation and Lightning Potential Index (LPI) over the Antarctic peninsular region. The simulated output is analyzed using statistical techniques.
WRF Modellig and Data Analysis
The work was regarding the research paper. I had to Weather Forecast and Research modelling of precipitation and Lightning Potential Index (LPI) over the Antarctic peninsular region. The simulated output is analyzed using statistical techniques.
WRF Modellig and Data Analysis

Comentarios

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1,2
₹14.200,00 INR
Project 28406433 has been deleted
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Bandera de Rishabh S.
@rsrishabhsaxena3
•
hace 3 años
5,0
₹500,00 INR
wrf modelling and data analysis
Ajilesh is a very simple but smart guy he helped me throughout the project I highly recommend him. he give work with high standards and he is well qualified to handle work .he have advanced knowledge of numerical modelling including WRF and programming language such as python, Fortran , R, Matlab, NCL .
Copywriting
Article Writing
Avatar del usuario
Bandera de Rishabh S.
@rsrishabhsaxena3
•
hace 4 años
5,0
$616,00 USD
Remap change projection of climate data using CDO to regular lat lon grib2 file -- 2
Great working with Ajilesh on a climate data project. Looking forward to another task some time.
Data Processing
Climate Sciences
Programming
Data Visualization
Data Analysis
Avatar del usuario
Bandera de Jeppe S.
@nvcharts
•
hace 4 años
5,0
₹13.650,00 INR
Project for Ajilesh Parayulla P. -- 20/06/16 00:53:08
Expert in Scientific Writing , he work under budget and always finish work under timeline
Linux
Data Processing
Excel
R Programming Language
+1 más
Avatar del usuario
Bandera de Rishabh S.
@rsrishabhsaxena3
•
hace 4 años

Experiencia

Senior Research Fellow

Cochin University of Science and Technology
feb 2019 - mar 2020 (1 año, 1 mes)
The project was High-Resolution Climate Modelling For Southern Peninsular India. Climate modelling of SPI was done using RegCM 4.5 for 26 years spanning from 1980 to 2005, output data was analysed and the project report was submitted.

Junior Research Fellow

Amrita Centre for wireless network and applications
jun 2018 - feb 2019 (8 meses, 1 día)
It was a WRF modelling work in a project titled "Dynamical Downscaling of Regional Climate: Simulation of Extreme Rainfall Events and Their Impacts over the State of Kerala in the Near-Future". Analysed many years of rainfall data and a report was submitted.

Project Fellow

CSIR-Fourth Paradigm Institute
sept 2014 - nov 2017 (3 años, 2 meses)
The project title I worked was "Investigations of Mega-City Effects on the Genesis The intensity of Extreme Rainfall Events and their Impact." The main responsibilities were data analysis, statistical modeling and visualization, and making project reports.

Educación

Masters

Cochin University of Science and Technology, India 2010 - 2012
(2 años)

BSc Physics

Kannur University, India 2006 - 2009
(3 años)

Calificaciones

National Eligibility Test

CSIR-UGC
2014
Qualified CSIR-UGC National Eligibility Test (NET)

Publicaciones

Digital revolu- tionand Big Data: a new revolution in agriculture.

CAB Re- views
This review considers the role of Big Data (BD), the digital revolution, the application of the Internet of Things (loTs), and sensor technologies in the agriculture sector. In this paper, ongoing research efforts on BD within the agriculture sector, basic features of BD, and the latest development in BD analytics tools, the importance of BD applications in the agriculture and examples of their success stories in increasing farm productivity, the current scenario etc are discussed.

Observed and- model simulated thermodynamic processes associated with ur- ban heavy rainfall

Mete- orological Applications
A total of 32 rainfall events spanning the period from 2012 to 2014 over the urban Indian city of Bangalore were simulated using the Weather Research and Forecast (WRF) model. Model simulations were carried out with a four‐nested domain initialized with Global Forecast System (GFS) data and the forecast was generated on an hourly basis. The forecasted rainfall at hobli level (Bangalore has 34 hobli divisions with an area of each hobli of the order of about 10 km2) was evaluated.

Impact of land-use changes on the genesis and evolution of extreme rainfall event: a case s

Theoretical and Applied Climatology
This study is about the impact assessment of different land-use data sets on the simulation of an Extreme Rainfall Event (ERE) which is one of the unusually rare events that occurred between 14th to 18th of June 2013 over Uttarakhand in India. In this work, high-resolution (2-km), time ensemble simulations are carried out using Weather Research and Forecasting model (WRFV3.5) with a 3-nest configuration.

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Principales habilidades

Data Processing 3
Climate Sciences 2
Ubuntu 2
Data Visualization 2
Data Analysis 2

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