Evaluation of terra moderate resolution imaging spectroradiometer sensor level 3 daily sea surface temperature using buoy measurements

2021 ◽  
Author(s):  
A. S. Khaniani
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Moderate Resolution ◽  
Level 3 ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Buoy Measurements

scholarly journals Pengaruh Anomali Iklim (Enso Dan Iod) Terhadap Sebaran Ikan Pedang (Xiphias Gladius) Di Samudera Hindia Bagian Timur

Jurnal Segara ◽  
2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Bram Setyadji ◽  
Khairul Amri
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Dipole Mode ◽  
Catch Per Unit Effort ◽  
Unit Effort ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
By Catch

Anomali iklim seperti ENSO dan Dipole Mode mempengaruhi dinamika massa air di bagian timur Samudera Hindia serta berdampak terhadap pola sebaran dan hasil tangkapan ikan. Ikan pedang yang tertangkap di bagian timur Samudera Hindia merupakan hasil tangkap sampingan (by catch) rawai tuna. Meskipun mempunyai nilai ekonomis yang tinggi, penelitian mengenai keterkaitan faktor lingkungan dengan hasil tangkapan dan sebaran ikan pedang, masih belum banyak dilakukan. Tulisan ini membahas pengaruh anomali iklim (ENSO dan Dipole Mode) terhadap sebaran hasil tangkapan dan sebaran spasial-temporal ikan pedang di bagian timur Samudera Hindia. Data paremeter lingkungan yang digunakan berupa sebaran suhu permukaan laut (SPL) atau Sea Surface Temperature(SST) dan klorfil-a permukaan (SSC=Sea Surface Chlorophyll) hasil pengukuran sensor Satelit Aqua MODIS (Moderate Resolution Imaging Spectroradiometer) L-2 dengan format bulanan. Data ikan pedang merupakan data kombinasi hasil pendaratan di Pelabuhan Benoa 2002–2014 dan data pemantauan ilmiah Loka Penelitian Perikanan Tuna  2005–2014. Hasil penelitian menunjukkan bahwa ada anomali iklim yang mempengaruhi hasil tangkapan per upaya (Catch per Unit Effort/CPUE) dan diduga juga mempengaruhi recruitment ikan pedang. Nilai CPUE tahunan tertinggi (0,16 ikan/100 pancing) terjadi pada event El-Nino moderate (2009) dimana terjadi peningkatan produktivitas primer, sebaliknya CPUE tahunan terendah (0,08 ikan/100 pancing) pada event IOD negatif moderate (2005) yang dampaknya sama dengan La-Nina, yakni penurunan produktivitas primer. Indikasi ini diperkuat dengan hasil pengamatan bulanan dimana nilai CPUE tertinggi pada Juni (periode berlangsungnya upwelling di selatan Jawa), sebaliknya pada bulan Desember CPUE rendah (ketika kesuburan perairan menurun). Dominansi hasil tangkapan ikan muda periode 2007-2011, diduga merupakan generasi baru recruitment dari keberhasilan pemijahan sebelumnya, saat terjadi event consecutive IOD positif (tiga tahun berturut-turut: 2006-2007-2008) meningkatkan produktivitas primer secara signifikan akibat intensitas upwelling yang tinggi.

scholarly journals Optimizing CALIPSO Saharan dust retrievals

2013 ◽  
Vol 13 (23) ◽  
pp. 12089-12106 ◽  
Author(s):  
V. Amiridis ◽  
U. Wandinger ◽  
E. Marinou ◽  
E. Giannakaki ◽  
A. Tsekeri ◽  
...  
Keyword(s):  
Northern Africa ◽  
Saharan Dust ◽  
Individual Level ◽  
Dust Extinction ◽  
Absolute Bias ◽  
Moderate Resolution ◽  
Level 3 ◽  
Lidar Ratio ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract. We demonstrate improvements in CALIPSO (Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations) dust extinction retrievals over northern Africa and Europe when corrections are applied regarding the Saharan dust lidar ratio assumption, the separation of the dust portion in detected dust mixtures, and the averaging scheme introduced in the Level 3 CALIPSO product. First, a universal, spatially constant lidar ratio of 58 sr instead of 40 sr is applied to individual Level 2 dust-related backscatter products. The resulting aerosol optical depths show an improvement compared with synchronous and collocated AERONET (Aerosol Robotic Network) measurements. An absolute bias of the order of −0.03 has been found, improving on the statistically significant biases of the order of −0.10 reported in the literature for the original CALIPSO product. When compared with the MODIS (Moderate-Resolution Imaging Spectroradiometer) collocated aerosol optical depth (AOD) product, the CALIPSO negative bias is even less for the lidar ratio of 58 sr. After introducing the new lidar ratio for the domain studied, we examine potential improvements to the climatological CALIPSO Level 3 extinction product: (1) by introducing a new methodology for the calculation of pure dust extinction from dust mixtures and (2) by applying an averaging scheme that includes zero extinction values for the nondust aerosol types detected. The scheme is applied at a horizontal spatial resolution of 1° × 1° for ease of comparison with the instantaneous and collocated dust extinction profiles simulated by the BSC-DREAM8b dust model. Comparisons show that the extinction profiles retrieved with the proposed methodology reproduce the well-known model biases per subregion examined. The very good agreement of the proposed CALIPSO extinction product with respect to AERONET, MODIS and the BSC-DREAM8b dust model makes this dataset an ideal candidate for the provision of an accurate and robust multiyear dust climatology over northern Africa and Europe.

scholarly journals A Comparative Study on the Generation of COMS Level 3 Product for Sea Surface Temperature

2015 ◽  
Vol 10 (1) ◽  
pp. 43-56
Author(s):  
Dae-Sun Kim ◽  
◽  
Kwang-Jin Kim ◽  
Jaeil Cho ◽  
Sung-Rae Chung ◽  
...  
Keyword(s):  
Comparative Study ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Level 3

scholarly journals Geographic Information System for Tuna Fishing Areas in Bitung waters

2018 ◽  
Vol 6 (2) ◽  
pp. 147
Author(s):  
J. Ch. Kumaat ◽  
M. M. F. Rampengan ◽  
S. T. B. Kandoli
Keyword(s):  
Temperature Distribution ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Sea Surface ◽  
Modis Data ◽  
Surface Temperature Distribution ◽  
Tuna Fishing ◽  
Level 3 ◽  
Data Level

The existence of the fishing in the waters will always be dynamic, constantly changing or changed following the movement of environmental conditions, which naturally fish will choose a more appropriate habitat. Predicted zone of Tuna fish catch can be done by detecting the distribution of chlorophyll-a and sea surface temperature distribution from Aqua MODIS image.  This study aims to predict the local zone tuna fishing in the sea around the city of Bitung based on the distribution of chlorophyll-a and sea surface temperature by using satellite image Aqua MODIS data level-3. A series of research activities are conducted in stages are: image collection, image cutting in accordance with the desired area, image extraction, data interpolation, map overlay, and the last is the map layout.  The result of sea surface temperature (SST) and chlorophyll-a concentration in the ocean waters of Bitung and surrounding areas shows the chlorophyll-a and sea surface temperature varies each season. The highest chlorophyll-a distribution is in the second transitional season in September and the lowest in the west season in December. The highest sea surface temperature distribution is in the eastern seasons in June and the lowest in the eastern seasons in August. The results showed at some of the most potential fishing points of Tuna in the transitional season II wherein each month in the season potentially forming the Tuna fishing areaKeywords: Tuna, chlorophyll-a, SST, Aqua, Modis ABSTRAK Keberadaan daerah penangkapan ikan di perairan akan selalu bersifat dinamis, selalu berubah atau berpindah mengikuti pergerakan kondisi lingkungan, yang secara alamiah ikan akan memilih habitat yang lebih sesuai.  Zona tangkapan ikan Tuna yang diprediksi dapat dilakukan dengan mendeteksi distribusi klorofil-a dan distribusi suhu permukaan laut dari citra Aqua MODIS. Penelitian ini bertujuan untuk memprediksi zona lokal penangkapan ikan tuna di laut sekitar kota Bitung, berdasarkan distribusi klorofil-a dan suhu permukaan laut dengan menggunakan citra satelit Aqua MODIS data level-3. Serangkaian kegiatan penelitian yang dilakukan secara bertahap adalah: koleksi gambar, pemotongan gambar sesuai dengan area yang diinginkan, ekstraksi gambar, interpolasi data, overlay peta, dan terakhir adalah tata letak peta. Hasil dari Suhu Permukaan Laut (SST) dan konsentrasi klorofil-a di perairan laut Bitung dan sekitarnya menunjukkan klorofil-a dan suhu permukaan laut bervariasi setiap musim. Distribusi klorofil-a tertinggi adalah pada musim peralihan kedua pada bulan September dan terendah di musim barat pada bulan Desember. Distribusi suhu permukaan laut tertinggi adalah di musim timur pada bulan Juni dan terendah di musim timur pada bulan Agustus. Hasil penelitian menunjukkan pada beberapa titik penangkapan ikan Tuna yang paling potensial pada musim peralihan II dimana setiap bulan di musim tersebut berpotensi membentuk daerah penangkapan Tuna.Kata Kunci: Tuna, Chlorofil-a, SPL, Aqua, Modis

scholarly journals Using Saildrones to Validate Satellite-Derived Sea Surface Salinity and Sea Surface Temperature along the California/Baja Coast

2019 ◽  
Vol 11 (17) ◽  
pp. 1964 ◽  
Author(s):  
Jorge Vazquez-Cuervo ◽  
Jose Gomez-Valdes ◽  
Marouan Bouali ◽  
Luis Miranda ◽  
Tom Van der Stocken ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Current System ◽  
California Current ◽  
Sea Surface ◽  
Sea Surface Salinity ◽  
Surface Salinity ◽  
California Current System ◽  
The Impact ◽  
Buoy Measurements

Traditional ways of validating satellite-derived sea surface temperature (SST) and sea surface salinity (SSS) products by comparing with buoy measurements, do not allow for evaluating the impact of mesoscale-to-submesoscale variability. We present the validation of remotely sensed SST and SSS data against the unmanned surface vehicle (USV)—called Saildrone—measurements from the 60 day 2018 Baja California campaign. More specifically, biases and root mean square differences (RMSDs) were calculated between USV-derived SST and SSS values, and six satellite-derived SST (MUR, OSTIA, CMC, K10, REMSS, and DMI) and three SSS (JPLSMAP, RSS40, RSS70) products. Biases between the USV SST and OSTIA/CMC/DMI were approximately zero, while MUR showed a bias of 0.3 °C. The OSTIA showed the smallest RMSD of 0.39 °C, while DMI had the largest RMSD of 0.5 °C. An RMSD of 0.4 °C between Saildrone SST and the satellite-derived products could be explained by the diurnal and sub-daily variability in USV SST, which currently cannot be resolved by remote sensing measurements. SSS showed fresh biases of 0.1 PSU for JPLSMAP and 0.2 PSU and 0.3 PSU for RMSS40 and RSS70 respectively. SST and SSS showed peaks in coherence at 100 km, most likely associated with the variability of the California Current System.

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