k venkata reddy
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GEOSPATIAL MODEL TOOL FOR
CLIMATE DATA RETRIEVAL
Presented by Dr. K Venkata Reddy
Assistant Professor National Institute of Technology
Warangal, Telengana, India Email: [email protected]
International Conference on
CLIMATE CHANGE INNOVATION AND RESILIENCE FOR
SUSTAINABLE LIVELIHOOD
12-14 January 2015, Kathmandu, Nepal
Dr. K Venkata Reddy1, Sri Lakshmi Sesha Vani Jayanthi1, Kotrike Tharani1, P Naga Sowjanya1
Introduction
Obtaining climate data for a required study area from climate
model database is a tedious process.
In GCM‟s and RCM‟s, the climate parameters data is available for
approximately 50,000 to 150,000 grid points.
The data is available all over the globe for a large duration of
simulation (usually 30 years).
Such data is unmanageably large and modeling can be difficult
and time consuming.
A geospatial tool is developed by integrated use of R program
with ArcGIS for obtaining data from climate models.
R language
R is both a programming language and a software
environment that sustains a wide variety of computational
techniques.
R is open source and highly extensible.
The package „ncdf‟ provides a high-level R interface to
netCDF files, which are portable across platforms and
include metadata information in addition to the data sets.
Using this package netCDF files can be opened and data sets
read in easily.
Data Used
CORDEX (COordinated Regional Climate Downscaling
Experiment) data is used for the development of the tool.
CORDEX is a WCRP(World Climate Research Program)-
sponsored program to produce an improved generation of
regional climate change projections world-wide.
CORDEX will produce an ensemble of multiple dynamical and
statistical downscaling models considering multiple forcing
GCMs.
Source: ftp.ese-cccr.trapmet.res.in/
Models:
◦ CCSM4 (Community Climate System Model)
◦ GFDL – CM3 (Geophysical Fluid Dynamics Labaratory
climate model)
◦ Access (Australian Community Climate Earth System
Simulator)
◦ NorESM1-M (Norwegian Earth System Model)
◦ CNRM- CM5 (National Centre for Meteorological Research
climate model)
◦ MPI-ESM-LR (Max Planck Institute for Meteorology Earth
System Model)
Software:
R 3.0.2 32 bit version
Python 2.7
ArcGIS 10.2
Figure 1: Input Tool Box
The tool box takes the lat/lon boundaries as input.
Subsets the data from NetCDF file.
Gives the output in text file format.
Figure 2: Output file of climate grid points
Figure 3: Model for obtaining grid points
Figure 4: (a) Grid points for Wardha basin within the boundary
(b) Grid points for Wardha basin with 0.5o buffer distance
(a) (b)
Figure 5: Grid points for Warangal District with a buffer of 0.5o
Summary
The modeling tool is used for obtaining grid points of various
models like CCSM4, GFDL, Access, etc.
Manual check is performed to verify the correctness of the tool.
It was observed that the grid points obtaining using modeling
tool are matching with the grid points obtained by manual
method.
The modeling tool can be used to obtain climate grid points for
watersheds as well as geographical units such as urban areas.
Further, the model tool can also help to prepare the climate
data input files for Soil and Water Assessment Tool (SWAT).
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