
Analysis of Radiosonde Temperature Profile Measurement in Pamengpeuk
Author(s) -
Soni Aulia Rahayu,
Edy Maryadi,
Rachmat Sunarya,
Gatot Nugroho,
Listi Restu Triani
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1373/1/012003
Subject(s) - radiosonde , antenna (radio) , mean squared error , atmosphere (unit) , meteorology , measure (data warehouse) , environmental science , remote sensing , atmospheric temperature , root mean square , computer science , geology , statistics , mathematics , geography , telecommunications , engineering , electrical engineering , data mining
Indonesia is a tropical maritime country that has high complexity in terms of atmospheric dynamics. Understanding of atmospheric conditions is very important to obtain valid knowledge and atmospheric models. This understanding can be obtained through adequate data support. Vertical atmospheric data is very limited so it is necessary to develop equipment to be able to measure and provide valid data. one of the equipment used to measure the atmosphere vertically is called radiosonde. The development of this radiosonde has been carried out by various parties, one of them by PSTA LAPAN. This development is focused on the antenna system and the accuracy of the temperature data received. The antenna that is designed is an Omni 5/8λ antenna integrated with LNA. Receiving radiosonde data using antenna up to a height of 36 km. The temperature data that has been obtained is validated using radiosonde Vaisala and Meisei data. The temperature analysis is done by using Mean Bias Error (MBE) and Root Mean Square Error (RMSE). After being compared with the reference data, the RMSE values of 1.2 and MBE 2.3 were obtained with a correlation of 0.9. From these results it can be seen that the temperature data obtained is in accordance with atmospheric conditions, so this temperature sensor can be used for vertical atmospheric measurements.