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Jalil AR, Wirasatriya A, Malik A, Ramdani F, Rahmadi P, Harsono G, Setiawan RY. Cenderawasih Hot Pool: The Frequent High Sea Surface Temperature Phenomena At Cenderawasih Bay, Papua. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 2023; 16:77-83. [DOI: 10.24057/2071-9388-2022-156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
The term “warm pool” refers to a body of water with the characteristic of SST exceeding 28°C within a particular area and a relatively long period in an annual circle. However, there are regions with an annual mean SST measured above 30°C, and we classified them as hot pools because of the conditions of intense solar radiation and low wind speed. One of the Hot Pool spots was found in Indonesia, in Cenderawasih Bay. The present study examines the existence of the Cenderawasih Hot Pool using long-term observation of satellite SST data. In order to learn more about their mechanisms, we also analyzed surface wind, surface heat flux, and surface current data. The results show that SSTs in Cenderawasih Bay have a 50% chance of exceeding 30°C within the 13 years of study (2013-2015). Heat input comes from strong solar radiation, i.e., 50% of solar radiation is more than 200 W/m2. The location is also dominated by low wind speed, i.e., 80% wind speed of lower than 4 m/s, which caused the low latent loss in Cenderawasih Bay. Cenderawasih Bay is fully separated from surface currents during the dry and wet seasons since the easterly subsurface water flow does not enter the bay. The absence of strong currents prevents the mixing process, maintaining the high temperature in the surface layer. Those processes are discovered and they serve as compelling evidence to support Cenderawasih Bay as one of the Hot Pool areas within the Indonesian seas.
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Affiliation(s)
- Abd. Rasyid Jalil
- Department of Marine Science, Faculty of Marine Science and Fisheries, Hasanuddin University
| | - Anindya Wirasatriya
- Department of Oceanography, Faculty of Fisheries and Marine Science, Diponegoro University; Coastal and Ocean Remote Sensing Laboratory, Center for Coastal Rehabilitation and Disaster Mitigation Studies, Diponegoro University
| | - Abdul Malik
- Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Negeri Makassar
| | - Fatwa Ramdani
- 5Department of International Public Policy, Faculty of Humanities and Social Sciences, University of Tsukuba; Program in Economic and Public Policy, Graduate School of Humanities and Social Sciences, University of Tsukuba
| | - Puji Rahmadi
- Research Center for Oceanography, National Research and Innovation Agency
| | - Gentio Harsono
- Faculty of Science and Defense Technology, Republic Indonesia Defense University; Hydro-Oceanography Service Center
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A global long-term ocean surface daily/0.05° net radiation product from 1983–2020. Sci Data 2022. [PMCID: PMC9198043 DOI: 10.1038/s41597-022-01419-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
AbstractThe all-wave net radiation (Rn) on the ocean surface characterizes the available radiative energy balance and is important to understand the Earth’s climate system. Considering the shortcomings of available ocean surface Rn datasets (e.g., coarse spatial resolutions, discrepancy in accuracy, inconsistency, and short duration), a new long-term global daily Rn product at a spatial resolution of 0.05° from 1983 to 2020, as part of the Global High Resolution Ocean Surface Energy (GHOSE) products suite, was generated in this study by fusing several existing datasets including satellite and reanalysis products based on the comprehensive in situ measurements from 68 globally distributed moored buoy sites. Evaluation against in-situ measurements shows the root mean square difference, mean bias error and correlation coefficient squared of 23.56 Wm−2, 0.88 Wm−2 and 0.878. The global average ocean surface Rn over 1983–2020 is estimated to be 119.71 ± 2.78 Wm−2 with a significant increasing rate of 0.16 Wm−2 per year. GHOSE Rn product can be valuable for oceanic and climatic studies.
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