ANALISIS VARIASI TEMPORAL PRECIPITABLE WATER VAPOR STASIUN CORS TAHUN 2010-2020
Water vapor is one of the most abundant gases in atmosphere. Water vapor influence the changing of surface temperature and air temperature in some places. Water vapor also contributing on enhancing global. East Indonesia is the archipelago area in Indonesia which is most surrounded by sea and has...
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id-itb.:651292022-06-21T09:02:16ZANALISIS VARIASI TEMPORAL PRECIPITABLE WATER VAPOR STASIUN CORS TAHUN 2010-2020 Abdillah, Ibnu Indonesia Final Project Zenith Tropospheric Delay, Precipitable water vapor, Periodogram INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/65129 Water vapor is one of the most abundant gases in atmosphere. Water vapor influence the changing of surface temperature and air temperature in some places. Water vapor also contributing on enhancing global. East Indonesia is the archipelago area in Indonesia which is most surrounded by sea and has the unique characteristic geography. This area is a highly potential area that had the impact of ENSO phenomena, meteorology oscilation phenomena, and the area with highly potential dynamic variation water vapor caused by tropical temperature. This variation important to be monitored, moreover in tropospheric layer which is more dynamic, because the dynamicity of water vapor cause the changes of humidity in some area and highly potential to the changes of weather in the area too. The Precipitable water vapor is a physics unit which shows the equivalent water vapor intensity in air column when the water vapor is condensed (Syaifullah, 2011) in (Hamdi, 2019). Using tropospheric delay calculation with GPT2 model, this research aims to analyze the temporal variation of PWV along with the anomali variation from the Zenith Tropospheric Delay (ZTD) data in East Indonesia region. Zenith Troposheric Delay data is gained from the measured CORS station using GNSS methods from 2010- 2020. Precipitable water vapor varitation on sampled station is analyzed by spatial and by periodogram analysis to gain information of power cycle in some period and then the variation of the power periodogram analyzed by the similarity period of variation meteorology cycle and analyzed by the peak value which is exceed the filtered threshold to gain anomaly PWV. Temporal variation of periodogram analyzed in some cycle range : daily range, weekly range, monthly range, seasonal range, annual range and decadal range. Daily cycle variation of PWV periodogram shows the highest peak value in period 1 (diurnal) and the highest peak value in period 0.5 day (semidiurnal) at the Nabire CORS Station (CNAB). Anomaly variation of PWV that exceed the upper threshold found in Banda Naira (BANI), Biak (CBIK), FakFak (CFAK), Kalabahi (CKAL), South Tanibar (CSAU), Ternate (CTER) and Key Kecil (CUAL) station. Some anomaly are time-related with BNPB data and ENSO period on stations CFAK, CKAL, CTER and CUAL. text |
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Water vapor is one of the most abundant gases in atmosphere. Water vapor influence the
changing of surface temperature and air temperature in some places. Water vapor also
contributing on enhancing global. East Indonesia is the archipelago area in Indonesia
which is most surrounded by sea and has the unique characteristic geography. This area
is a highly potential area that had the impact of ENSO phenomena, meteorology
oscilation phenomena, and the area with highly potential dynamic variation water vapor
caused by tropical temperature. This variation important to be monitored, moreover in
tropospheric layer which is more dynamic, because the dynamicity of water vapor cause
the changes of humidity in some area and highly potential to the changes of weather in
the area too. The Precipitable water vapor is a physics unit which shows the equivalent
water vapor intensity in air column when the water vapor is condensed (Syaifullah, 2011)
in (Hamdi, 2019). Using tropospheric delay calculation with GPT2 model, this research
aims to analyze the temporal variation of PWV along with the anomali variation from
the Zenith Tropospheric Delay (ZTD) data in East Indonesia region. Zenith Troposheric
Delay data is gained from the measured CORS station using GNSS methods from 2010-
2020. Precipitable water vapor varitation on sampled station is analyzed by spatial and
by periodogram analysis to gain information of power cycle in some period and then the
variation of the power periodogram analyzed by the similarity period of variation
meteorology cycle and analyzed by the peak value which is exceed the filtered threshold
to gain anomaly PWV. Temporal variation of periodogram analyzed in some cycle
range : daily range, weekly range, monthly range, seasonal range, annual range and
decadal range. Daily cycle variation of PWV periodogram shows the highest peak value
in period 1 (diurnal) and the highest peak value in period 0.5 day (semidiurnal) at the
Nabire CORS Station (CNAB). Anomaly variation of PWV that exceed the upper
threshold found in Banda Naira (BANI), Biak (CBIK), FakFak (CFAK), Kalabahi
(CKAL), South Tanibar (CSAU), Ternate (CTER) and Key Kecil (CUAL) station. Some
anomaly are time-related with BNPB data and ENSO period on stations CFAK, CKAL,
CTER and CUAL.
|
format |
Final Project |
author |
Abdillah, Ibnu |
spellingShingle |
Abdillah, Ibnu ANALISIS VARIASI TEMPORAL PRECIPITABLE WATER VAPOR STASIUN CORS TAHUN 2010-2020 |
author_facet |
Abdillah, Ibnu |
author_sort |
Abdillah, Ibnu |
title |
ANALISIS VARIASI TEMPORAL PRECIPITABLE WATER VAPOR STASIUN CORS TAHUN 2010-2020 |
title_short |
ANALISIS VARIASI TEMPORAL PRECIPITABLE WATER VAPOR STASIUN CORS TAHUN 2010-2020 |
title_full |
ANALISIS VARIASI TEMPORAL PRECIPITABLE WATER VAPOR STASIUN CORS TAHUN 2010-2020 |
title_fullStr |
ANALISIS VARIASI TEMPORAL PRECIPITABLE WATER VAPOR STASIUN CORS TAHUN 2010-2020 |
title_full_unstemmed |
ANALISIS VARIASI TEMPORAL PRECIPITABLE WATER VAPOR STASIUN CORS TAHUN 2010-2020 |
title_sort |
analisis variasi temporal precipitable water vapor stasiun cors tahun 2010-2020 |
url |
https://digilib.itb.ac.id/gdl/view/65129 |
_version_ |
1822004767386238976 |