Wahab, Putri Juanita (2016) Homogenisasi Data Unsur Iklim Sebagai Tahap Pra-Pemrosesan Kajian Perubahan Iklim Dengan Metode Acmant Dan Climatol. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kesalahan interpretasi hasil kajian perubahan iklim rentan terjadi pada
data yang memiliki panjang lebih dari 30 tahun. Kejadian selama 30
tahun pada stasiun-stasiun pengamatan BMKG meliputi pergantian
pengamat, pergantian alat, dan perpindahan lokasi stasiun/ alat dapat
menyebabkan ketidakkontinuan data yang dinamakan inhomogenity
data. Oleh karena itu diperlukan metode homogenisasi data unsur
iklim, terutama pada data curah hujan dan temperatur, untuk mengurangi
kesalahan dalam menginterpretasikan hasil kajian. Beberapa
metode homogenisasi yang telah dikembangkan oleh peneliti dunia di
antaranya adalah ACMANT dan Climatol. Proses homogenisasi data
merupakan bagian dari pengendalian kualitas data. Pada penelitian ini
sebelum dilakukan homogenisasi, maka dilakukan pengendalian
kualitas basic yang terdiri atas Gross Error Check, Tolerance Test,
Internal Consistency, Temporal Coherency, Missing Value Check, dan
Pengendalian Kualitas Visual. Data hasil pengendalian kualitas basic
dihomogenkan dengan basis skala waktu harian dan bulanan menggunakan
metode ACMANT dan Climatol. Kedua metode menggunakan
teori relatifiitas dengan pendekatan yang berbeda yaitu
kedekatan lokasi untuk Climatol dan nilai korelasi spasial untuk
ACMANT, selain itu algoritma deteksi break point keduanya juga
berbeda yaitu single break point untuk Climatol dan multiple break
point untuk ACMANT. Perbandingan kedua metode tersebut
dilakukan pada data temperatur rata-rata, temperatur maksimum, dan
temperatur minimum bulanan. Metode homogenisasi yang lebih baik
melakukan homogenisasi yaitu ACMANT karena nilai CRMSE yang
didapatkan lebih kecil dan menggunakan deteksi multiple break point.
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Misinterpretation results of research of climate change susceptible to
data with a length of more than 30 years. Events during long time at
BMKG observation stations covering the turn of the observer, turn the
tool, and the transfer station location / equipment can cause the data
discontinuity called inhomogenity data. Therefore we need a method
of homogenizing the climate data, especially on precipitation and
temperature, to reduce errors in interpreting the results of the study.
Several methods of homogenization that has been developed by
researchers in the world are ACMANT and Climatol. Homogenization
process the data is part of the quality control data. In this study prior
to homogenization, then the basic quality control consisting of Gross
Error Check, Tolerance Test, Internal Consistency, Temporal
Coherency, Missing Value Check, and Visual Quality Control. Data
from basic quality control, homogenized with the base daily and
monthly time scales using homogenization methods ACMANT and
Climatol. The both of methods use the theory of relatif homogenization
with a different approach that are nearness of location for Climatol
and spatial correlation for ACMANT. Detection break point is also
different, single break point for Climatol and multiple break points for
ACMANT. Comparison of two methods using time base monthly for
data average temperature, maximum tempe-rature and minimum
temperature. Homogenization methods better perform homogenization
of climate data using time base monthly with ACMANT method
because CRMSE values obtained are smaller, and ACMANT also
detect multiple break points.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSt 519.53 Wah h |
| Uncontrolled Keywords: | Homogenisasi, temperatur, curah hujan, ACMANT, Climatol |
| Subjects: | T Technology > T Technology (General) > T57.5 Data Processing |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | EKO BUDI RAHARJO |
| Date Deposited: | 07 Oct 2019 01:20 |
| Last Modified: | 07 Oct 2019 01:20 |
| URI: | http://repository.its.ac.id/id/eprint/71004 |
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