ANALISIS TEMPERATUR DAN UAP AIR BERBASIS SATELIT TERRA/AQUA (MODIS, LEVEL-2) (ANALYSIS OF TEMPERATURE AND WATER VAPOR BASED ON THE TERRA/AQUA SATELLITE (MODIS, LEVEL-2))
Abstract
Terra and Aqua satellites that consist of multiple sensors including MODIS instruments, which is operated to detect the phenomena that exist on land, sea and atmosphere. Not a lot of data extracted especially for Indonesia region the associated with atmospheric data, because the product is still in the raw data (level-0). For data extraction of level-0 to level-2 needed software IMAPP (International MODIS/airs Processing Package) so displays some data atmospheric parameters including MOD 04 - Aerosol, MOD 05 - Total precipitable Water (Water Vapor), MOD 06 - Cloud, MOD 07 - Atmospheric Profiles, MOD 08 - gridded Atmospheric and MOD 35 in HDF4 format (Hierarchical Data Format-4) swath. This paper discussed only MOD07/MYD07 atmospheric profiles level-2 related parameters such as the temperature of the atmosphere at an altitude of 780 hPa and water vapor at a height of 700 hPa. This study aimed to analyze the phenomena in the atmosphere, based on extraction method Atmospheric Profiles in the resolution 1km, that consists of temperature and moisture level2, in the format hdf4 daily swath into data daily and monthly grid in .dat format, in the period of December 2014, January, July, and August 2015, especially in the area of Indonesia. The comparison between the results of the extraction swath and grid data from Terra/Aqua MODIS, that parameter atmospheric for the temperature has R-sqare an average of 0.72 and water vapor 0.74, while the RMSE temperature and water vapor are 0.88 and 0.29.
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Satelit Terra dan Aqua yang terdiri dari beberapa sensor diantaranya instrumen MODIS, yang dioperasikan untuk mendeteksi fenomena yang ada di darat, laut, dan atmosfer. Belum banyak data yang diekstrak khususnya untuk wilayah Indonesia yang terkait dengan data atmosfer, karena produk MODIS masih berupa data mentah (level-0). Untuk ekstraksi data dari level-0 menjadi level-2 dibutuhkan software International MODIS/AIRS Processing Package (IMAPP) sehingga menampilkan beberapa data parameter atmosfer diantaranya MOD 04 - Aerosol, MOD 05 - Total Precipitable Water (Water Vapor), MOD 06 - Cloud, MOD 07 - Atmospheric Profiles, MOD 08 - Gridded Atmospheric dan MOD 35 swath dalam format Hierarchical Data Format-4 (HDF4). Pada makalah ini yang dibahas hanya MOD07/MYD07 atmospheric profiles level-2 yang berkaitan dengan parameter atmosfer seperti temperatur pada ketinggian 780 hPa dan uap air pada ketinggian 700 hPa. Penelitian ini bertujuan untuk menganalisis hasil ekstraksi data Atmospheric Profiles dari format HDF4 swath harian menjadi data grided harian, bulanan dalam format .dat serta aplikasinya pada periode bulan Desember 2014, Januari, Juli, dan Agustus 2015, khususnya wilayah Indonesia dalam resolusi 1km yang terdiri dari temperatur dan uap air level-2. Perbandingan antara hasil ekstraksi data MODIS swath dan data MODIS grided Terra/Aqua untuk parameter temperatur atmosfer mempunyai R-sqare rata-rata 0.72 dan uap air 0.74, sedangkan RMSE untuk temperatur dan uap air sebesar 0.88 dan 0.29.
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PDFReferences
Asrar, G., and Dokken, D. J., 1993. EOS
Reference Handbook (Greenbelt; MD:
NASA).
Blackwell, W. J., 2005. A Neural-Network
Technique for the Retrieval of
Atmospheric Temperature and Moisture
Profiles from High Spectral Resolution
Sounding Data, IEEE Trans, Geosci.
Remote Sens., Vol. 43, No. 11, 2535-
Free Melissa, 2011. The Seasonal Structure of
Temperature Trends in the Tropical
Lower Stratosphere, Journal Of
Climate. VOL, 24, 859-866.
Kim Y. S, B. H. Kwon and K. M. Hong, 2004.
Vertical Temperature and Moisture
Structure In Lower Atmosphere Retrived
From Terra/Modis, Gayana 68 (2) supl.
T.I. Proceeding. Vol.68 No.2: 319-323,.
ISSN 0717-652X.
Li Hua, Qinhuo Liu, Yongming Du, Jinxiong
Jiang, and Heshun Wang, 2013.
Evaluation of the NCEP and MODIS
Atmospheric Products for Single
Channel Land Surface Temperature
Retrieval with Ground Measurements: A
Case Study of HJ-1B IRS Data, IEEE
Journal Of Selected Topics In Applied
Earth Observations And Remote
Sensing, VOL. 6, NO. 3.
Li J, Wolf W, Menzel WP, Zhang W, Huang HL,
Achtor TH., 2000. Global Soundings of
the Atmosphere from ATOVS
Measurements: the Algorithm and
Validation, Journal of Applied
Meteorology 39: 1248–1268.
Majid Rahimzadegan and M. Reza Mobasheri,
An Attempt for Improving MODIS
Atmospheric Temperature Profiles Products
in Clear Sky, Meteorol. Appl. 18: 181–
Published online 16 August 2010
in Wiley Online Library.
Menzel, W. P., Seemann, S.W., Li, J., Gumley,
L.E., 2002. MODIS Atmospheric
Profile Retrieval Algorithm Theoretical
Basis Document, Available through
NASA MODIS Web site http://modisatmos.gsfc.nasa.gov/reference_atbd.ht
ml.
Michael D. King, Member, IEEE, W. Paul
Menzel, Yoram J. Kaufman, Didier
Tanré, Bo-CaiGao, Steven Platnick,
Steven A. Ackerman, Lorraine A.
Remer, Robert Pincus, and Paul A.
Hubanks, 2003. Cloud and Aerosol
Properties, Precipitable Water, and
Profiles of Temperature and Water
Vapor from MODIS, IEEE Transactions
On Geoscience And Remote Sensing,
Vol. 41, No. 2, 442.
Moradizadeh, M., Momeni, M. & Saradjian,
M.R., 2014. Estimation and Validation
of Atmospheric Water Vapor Content
using a MODIS NIR Band Ratio
Technique Based on AIRS Water Vapor
Products, Arab J Geosci (2014) Vol. 7:
-1897. doi:10.1007/s12517-013-
-2.
NASA, Diakses pada 3 September, 2013.
Moderate-resolution Imaging Spectro
Radiometer (MODIS), http://modis.gsfc.
nasa.gov/about/.
Randel, W.J., and E.J. Jensen, 2013. Physical
Processes in the Tropical Tropopause
Layer and their Role in a Changing
Climate, Nature Geoscience, 6, 169-176.
Risyanto, S. B. Sipayung, dan E. Maryadi,
Analisis Profil Suhu Vertikal Di
Beberapa Lokasi Berbasis Satelit,
Prosiding Seminar Sains Atmosfer.
Bandung, 28 Agustus 2013. ISBN:
-979-1458-73-3.
Seemann, S. W., J. Li, L. E. Gumley,, K. I.
Strabala, and W. P. Menzel, 2002.
One Year of Global Atmospheric Total
Column Precipitable Water Vapor
Retrievals from MODIS Infrared
Radiances, Remote Sensing of the
Earth’s Environment from Terra –
Lectures at the International Summer
School on Atmospheric and Oceanic
Sciences (ISSAOS 2002) from 25 – 30
August 2002 in L’Aquila, Italy. A
Springer publication.
Seemann, S. W., Jun Li,, W. Paul Menzel and
Liam E. Gumley, 2003. Operational
Retrieval of Atmospheric Temperature,
Moisture, and Ozone from MODIS
Infrared Radiances, Journal of Applied
Meteorology: VOL. 42. Page 1072-1092.
Seemann, S. W., Eva E. Borbas., Jun Li., W.
Paul Menzel, Liam E. Gumley, 2006.
MODIS Atmospheric Profile Retrieval,
Algorithm Theoretical Basis Document.
Sipayung, S. B., Risyanto, dan E. Maryadi,
Aplikasi Artificial Neural Network
(ANN) untuk Estimasi Profil Vertikal
Temperatur dan Kelembapan dari Data
MODIS, Prosiding Nasional, Simposium
Fisika Nasional (SFN XXVII), Bali,
“Fisika Dalam Kehidupan Sehari-hariâ€.
Universitas Udayana, Bali-Indonesia,
-17 Oktober, 2014. ISSN: 1411-4771.
Sipayung, S. B., Risyanto, dan E. Maryadi,
Pengembangan Metode Pengolahan
Data Profil Vertikal Atmosfer Berbasis
Satelit, (Publikasi BUKU Ilmiah LAPAN
Tahun 2015 CV. Media Akselerasi).
ISBN : 978-979-1458-94-8).
WU Xuebao, LI Jun, ZHANG Wenjian, and
WANG Fang, 2005. Atmospheric Profile
Retrieval with AIRS Data and Validation
at the ARM CART Site, Advances In
Atmospheric Sciences, VOL. 22, NO. 5,
–654.
Zhou Ji, Xu Zhang, Wenfeng Zhan and Huailan
Zhang, 2014. Land Surface
Temperature Retrieval from MODIS Data
by Integrating Regression Models and
the Genetic Algorithm in an Arid Region,
Remote Sens. 2014, 6, 5344-5367;
doi:10.3390/rs6065344.www.mdpi.com/
journal/remotesensing.
http://modis-catalog. lapan.go.id.
http://bisma.sains.lapan.go.id.
http://ladsweb.nascom.nasa.gov/
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