Weather observation and forecasting using radiosonde

TELKOMNIKA Telecommunication Computing Electronics and Control
Vol. 20, No. 6, December 2022, pp. 1376~1383
ISSN: 1693-6930, DOI: 10.12928/TELKOMNIKA.v20i6.24247  1376
Journal homepage: http://telkomnika.uad.ac.id
Weather observation and forecasting using radiosonde
Jeyaraj Jency Joseph1
, Rajasekaran Meenal1
, Francis Thomas Josh1
, Prawin Angel Michael2
,
Vinoth Kumar Krishnamoorthy3
, Giriprasad Chandran4
, Selve Veerabathran5
1
Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, 641 114,
Tamil Nadu, India
2
Department of Aerospace Engineering, Karunya Institute of Technology and Sciences, Coimbatore, 641 114, Tamil Nadu, India
3
Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru, 560 103, Karnataka, India
4
Department of Civil Engineering, New Horizon College of Engineering, Bengaluru, 560 103, Karnataka, India
5
Department of Electrical and Electronics Engineering, Velammal Engineering College, Chennai, 600 066, Tamil Nadu, India
Article Info ABSTRACT
Article history:
Received Jun 28, 2021
Revised Sep 05, 2022
Accepted Sep 15, 2022
Weather balloons are high-altitude meteorological balloons particularly used
for carrying scientific payloads into the upper atmosphere. These data are
obtained by using an instrument called as radiosonde which is attached to the
helium filled weather balloon to measure the meteorological data as it
ascends up into the atmosphere. For more than 100 years, weather balloons
have given valuable information for climate and meteorological research.
In this paper, the radiosonde module is designed with negligible risk of
failure and cost effectiveness. The instruments to be fixed along with the
weather balloon are logging camera, temperature sensor, pressure sensor,
humidity sensor, global positioning system (GPS) module and a power
source. This module is used to measure and log the basic weather parameters
such as pressure, temperature, humidity and this also captures the picture of
a particular locality with the help of a microcontroller. This proposed work
is useful for observing high altitude weather data which is essential for
predicting natural disasters. Further more, it is helpful to analyze the
climatological and weather details of a particular region it also plays an
important role in estimating agricultural models.
Keywords:
Climate studies
Radiosonde
Weather baloon
Weather forecasting
This is an open access article under the CC BY-SA license.
Corresponding Author:
Vinoth Kumar Krishnamoorthy
Department of Electrical and Electronics Engineering, New Horizon College of Engineering
Bengaluru, 560 103, Karnataka, India
Email: kvinoth_kumar84@yahoo.in
1. INTRODUCTION
For a country like India with a tropical climate system with quite strong seasonal variation, climate
forecasting is important for future planning and adaptation to climate change. Various publications anticipate
the need for climate forecasting, as current weather and climate play an important role in the daily
functioning of society [1], [2]. According to business today report, India recorded around 32 extreme weather
events in the recent years [3]. Heavy rainfall, drought, wildfire, landslides, extreme temperatures, flood, fog
and storm are some of the extreme events which results in high mortality. Computer based weather prediction
models are used for predicting the weather parameters and the extreme events [4]-[6]. Weather balloons are
the main source of the upper air data above the ground surface. They can carry loads up to 40,000 m at
130,000 feet. About 800 weather balloons are released around the world every day [7]. This gives a
“snapshot” of the upper atmosphere of the earth two times a day. A radiosonde is an instrument attached to
the weather balloon to measure weather data like pressure, temperature and relative humidity as it ascends up
into the atmosphere [8], [9]. The valuable data provided by the weather balloons are used by the computer

TELKOMNIKA Telecommun Comput El Control 
Weather observation and forecasting using radiosonde (Jeyaraj Jency Joseph)
1377
forecast models to predict the climate pattern [10]-[12]. These data are very essential for meteorologists to
make accurate forecasts and to predict extreme events like storms, heavy rainfall, cold wave and hot wave.
Weather balloon data are the upper air data from the atmosphere, starting at three meters above the
earth’s ground surface. These upper air data received from radiosondes are transmitted back to a receiver unit
on the ground. Radiosonde instruments are used to measure meteorological variables like atmospheric
pressure, temperature, humidity, wind speed and direction, and geopotential height. Various literatures
foretell that the climate trends can be estimated accurately with the upper-air data set [13]. Radiosondes have
been used as the basic method for collecting the upper air data from the ground to altitudes in surplus of 35 km,
which includes both the troposphere and a major section of the stratosphere. The basic climate variables
measured by radiosonde are affected by external sources. Especially the temperature measured by the
radiosonde is affected by heataing effect other than air. So a correction is necessary on each radiosonde
instrument. The most widely used radiosondes have been evaluated relating to climate studies. Based on the
analysis of this current paper, it is observed that all of the radiosonde instruments have small errors and can
be prepared appropriate for climate studies and analysis if the suitable temperature correction models are
used to correct the data [14]-[16]. Thus the data obtained by radiosondes is not only a chief input to
numerical weather prediction, but also used for the model validation, research investigations on climate
studies. A small error in radiosonde observations can lead to higher forecast errors [17]. The uncertainties on
the initial conditions in climate modeling are taken care of by using ensemble simulations [18].
2. RADIOSONDE IN WEATHER FORECASTING
Many researchers used radiosonde data for evaluating their forecasing models [19]-[22]. A radiosonde
invented in 1920 to measure the basic meteorological variables in the troposphere and stratosphere [23]. In the
olden days such observations were costlier and quite intermittent. Recently, these upper air data from
radiosonde serve as a valuable input source for various weather forecasting models. Aeolus winds were
assessed using operationally collated radio wave data from the global observation system (GOS) [24].
Integrated Global Radiosonde Archive (IGRA), a National Climate Data Center (NCDC) radio wave dataset,
containing measurements from radiosonde instruments and balloons at 2700 stations worldwide [25].
Radiosonde observations are used as main source of input data for weather forecasting models, predition of
extreme events like local severe storm and fire weather forecasting, temperature forecasting, investigations
on air pollution, research investigations on weather and climate change, aviation, marine forecasts and
defense applications and so on.
2.1. Artificial intelligence and machine learning based forecasting with radiosonde
The extreme events like drought, flood, fog and storm results in high mortality. Also many states in
India have recorded the highest deaths during last floods in the recent years. The conventional complex
numerical weather prediction models create a great challenge for our Indian scientists in climate studies such
as weather forecasting and extreme event prediction for tropical system [26]. As a result, there is a need for
emerging techniques such as artificial intelligence, machine learning, and deep learning methods in weather
forecasting and climate research. Artificial intelligence based cumulonimbus prediction result proved that the
neural network gives better accuracy after principal component analysis for early warning system with
radiosonde indeces [27], [28]. Machine learning algorithms are commonly used in image and speech recognition,
medical diagnosis, stock market trading and various prediction and classification applications [29]-[33]. Recently
machine learning techniques are used in weather forecasting especially in extreme event prediction using
these upper air data [34]. Numerical weather prediction models cannot consistently estimate the extreme
events such as the deadly heat waves. It is dificult to understand the physics behind the weather pattern which
causes the extreme events. Deep learning techniques like accumulative neural networks and long-term
memory are commonly used in many applications such as load forecasting, radiation and wind velocity
forecasting, image processing, and more. [35]. Deep learning neural network generates realistic 14-day
weather forecasts independent of atmospheric physical data [36].
3. RESEARCH METHOD
In this proposed paper, a cost effective radiosonde module is designed. The helium test balloon
containing the parachute and the payload which experiences a strong lift reaching a height of approximately
90,000-110,000 feet in the atmosphere. During this flight, the sensors observe the various parameters like the
temperature, pressure, humidity and capture the photograph of a particular locality and records the data
obtained into a memory storage device with the help of an Arduino microcontroller and Raspberry Pi. As the
altitude increases, the pressure outside the balloon (atmospheric pressure) decreases and so this caused the
balloon to explode also the payload along with the parachute descends down rapidly. After a particular
altitude, the parachute opens and this helps in the safe landing of the payload. A global positioning system

 ISSN: 1693-6930
TELKOMNIKA Telecommun Comput El Control, Vol. 20, No. 6, December 2022: 1376-1383
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(GPS) unit along with a global system for mobile (GSM) module helped to detect the co-ordinates of the
landing location of the payload. Later, the payload is detected and the memory storage element is retrieved
and the recorded data is obtained. In addition, a lithium ion battery is used as a power source.
The radiosonde module is used to measure and record the metrological data like the pressure,
temperature, humidity, altitude and capture a picture of a particular locality. In this study, LM35 temperature
sensor is used to measure the temperature. The LM35 series is a precision integrated circuit temperature
sensor. The output voltage of this sensor is linearly proportional to the temperature in degrees Celsius
(degrees Celsius). The LM35 is designed to operate in the range of −55° to +150 °C. Monolithic silicon
pressure sensors MPXV7002 and digital humidity and temperature (DHT11) humidity sensors are used to
measure the pressure and humidity. The MPXV7002 is designed for many applications, but mainly those that
use microcontrollers or microprocessors with analog-to-digital (A/D) inputs. Figure 1(a), Figure 1(b) and
Figure 1(c) shows the various sensors and the block diagram of the entire module is shown in Figure 2.
In general these high altitude weather data is very essential for predicting natural disasters and climate based
research studies. Thus this work plays a major role in determining the agricultural pattern also. Moreover by
knowing the wind speed and its flow of direction, the implementation of renewable energy resources like the
wind mills can be successfully done at the right areas. The complete design details of the test balloon are
summarized in the Figure 3. The design details include the size, weight, radius, height and number of
balloons. Also it includes the floating time, duration and the location. Figure 4 shows the path of the test
balloon. The overall hardware implementation of this module is shown in Figure 5. Figure 6 shows the
flowchart for the whole process for data collection and forecasting.
(a) (b) (c)
Figure 1. Sensors used in the radiosonde for (a) DHT11 humidity sensor, (b) temperature sensor LM35D, and
(c) pressure sensor MPXV7002
Figure 2. Functional block diagram

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Figure 3. Design details of the test balloon and launch
Figure 4. Path of the test balloon Figure 5. Hardware implementation
Figure.6. Flowchart for the process of test weather balloon

 ISSN: 1693-6930
1380
4. RESULTS AND DISCUSSION
A helium weather balloon equipped with radiosonde is used to measure the basic atmospheric
variables like temperature, pressure and humidity with the sensors LM35D, MPXV7002 and DHT11
respectively. This balloon is tested to provide the weather information. A transmitter available in the
radiosonde sends the data back to the receiver equipment on the ground. The meteorological data namely the
percentage relative humidity and temperature in degree celcius at various altitudes in meters are tabulated in
Table 1. During this flight, the photograph of the particular locality is captured with the help of a camera
attached in the module and record the data obtained into a memory storage device with the help of an
Arduino microcontroller and Raspberry Pi. Figure 7 shows the graph of altitude versus temperature, humidity
and pressure. From the Figure 7(a), Figure 7(b), and Figure 7(c) it is observed that as the altitude increases,
magnitude of the weather parameter is decreased. By using these radiosonde based weather observation,
accurate weather forecasting can be done. Also these data can be used as the main source of input data for
climate studies and for predicting the agriculture pattern.
Table 1. Temperature and percentage relative humidity obtained using radiosonde
Sl. No Altitude
(meters)
% Relative humidity Temperature
(degree Celsius)
1 1300 72 24
2 1800 65 23
3 2300 62 20
4 2800 60 17
5 3300 58 14
6 3800 54 11
7 4300 51 7
8 4800 47 4
9 5300 43 1
10 5800 38 0
(a) (b)
(c)
Figure 7. Graph shows: (a) altitude vs relative humidity, (b) altitude vs temperature, and (c) altitude vs pressure

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5. CONCLUSION
In the current scenario, awareness on climatology and weather predictions play an important role in
the day to day running of society and for future planning. Also to reduce the mortality rate, extreme event
predictions models are necessary to implement early health warning system. Radiosonde observations like
temperature, pressure and humidity are the primary source of input data for various computer based weather
prediction models. In this proposed work, a cost effective radiosonde is designed to measure the basic
atmospheric variables. Weather parameters like pressure, temperature, humidity at various altitudes above the
ground surface are measured with the help of necessary sensors interfaced with Arduino microcontroller and
a picture of a particular locality is captured with the help of a camera interfaced with Raspberry Pi. Hence
these presented results will be useful for observing high altitude weather data. Also the radiosonde
observations are used to understand and analyze the climatological and weather details of a particular region
thereby it plays a most important role in determining the agricultural pattern.
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BIOGRAPHIES OF AUTHORS
Jeyaraj Jency Joseph working as an Assistant Professor in Department of
Electrical and Electronics Engineering at Karunya Institute of Technology and Sciences,
Coimbatore. She received her Ph.D Degree in Electrical & Electronics Engineering from Anna
University, Chennai. She is having 12 years of teaching as well as research experience and her
research area includes soft computing techniques in power electronics applications and
renewable energy. She can be contacted at email: jenjeffy@gmail.com.
Rajasekaran Meenal working as an Assistant Professor in Department of
Coimbatore. She received her Ph.D Degree in Electrical and Electronics Engineering from
Karunya Institute of Technology and Sciences, Coimbatore. She can be contacted at email:
meenasekar5@gmail.com.
Francis Thomas Josh working as an Assistant Professor in Department of
Coimbatore. He received his Ph.D Degree in Electrical & Electronics Engineering from Anna
University, Chennai.He is having 18 years of teaching as well as research experience and her
research area includes soft computing techniques in power electronics applications. He can be
contacted at email: frandajosh@gmail.com.

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Prawin Angel Michael working as an Associate Professor in Department
Aerospace Engineering at Karunya Institute of Technology and Sciences, Coimbatore. She
received her Ph.D Degree in Electrical and Electronics Engineering from Anna University,
Coimbatore and research area includes hydel energy, nano materials, and solar and wind
energy forecasting models. She can be contacted at email: legnaprawin@gmail.com.
Vinoth Kumar Krishnamoorthy working as an Associate Professor in
Department of Electrical and Electronics Engineering at New Horizon College of Engineering,
Bengaluru. He received his Ph.D Degree from Karunya Institute of Technology and Sciences
University, Coimbatore in 2017. He is having 14 years of teaching as well as research
experience and his research area includes neuro-fuzzy computing and renewable energy.
He can be contacted at email: kvinoth_kumar84@yahoo.in.
Giriprasad Chandran working as an Associate Professor in Department of Civil
Engineering at New Horizon College of Engineering, Bengaluru. He received his Ph.D Degree
from Sri Satya Sai University of Technology and Medical Sciences, Sehore. He is having 13
years of teaching as well as research experience and her research area includes soil stabilization,
GIS and remote sensing application for mapping, application of geosynthetics, natural waste
investigation-application in soil. He can be contacted at email: profgiriprasad2015@gmail.com.
Selve Veerabathran working as an Assistant Professor in Department of
Electrical and Electronics Engineering at Velammal Engineering College, Chennai. She is
having 20 years of teaching as well as research experience and her research area includes
restructured power systems, artificial intelligence techniques and its applications in power
systems. She can be contacted at email: selveveerabathran@gmail.com.

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