Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño
Starting in the early 1990's, the Tropical Atmosphere Ocean (TAO)/TRIangle Trans Ocean buoy Network (TRITON) array has been the pervasive source for observing large‐scale equatorial wave propagation which is key for El Nino/Southern Oscillation (ENSO) predictions. However, removal of western TR...
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description | Starting in the early 1990's, the Tropical Atmosphere Ocean (TAO)/TRIangle Trans Ocean buoy Network (TRITON) array has been the pervasive source for observing large‐scale equatorial wave propagation which is key for El Nino/Southern Oscillation (ENSO) predictions. However, removal of western TRITON moorings, the plan to reorganize the array (i.e., TPOS 2020), and availability of other sources of in situ data (e.g., Argo) have highlighted the need to rigorously assess the impact of TAO/TRITON data on ENSO predictions. Therefore, we evaluate TAO/TRITON array using data denial assimilation experiments and assess the impact on coupled atmosphere/ocean predictions of the big 2015 El Niño. Validation of the CONTROL (assimilates all available data) and NOTAO (withholds TAO/TRITON data) reanalyses shows that assimilating TAO/TRITON data generally improves comparisons versus gridded and pointwise in situ observations. This is especially true across the entire basin above and in the eastern half of the Pacific just below the thermocline for temperature. Even with relatively few observations, salinity is generally improved except near 120°W near the surface. To evaluate the impact of TAO/TRITON data on ENSO initialization, seasonal forecasts were initialized from the CONTROL and NOTAO experiments. For the 9‐month forecasts which were initialized in January, July, and October 2015, both the amplitude and the accuracy of the ensembles initialized with TAO/TRITON data were closer to observations. Through the analysis of Kelvin and Rossby waves, we show that the impact of TAO/TRITON is to generally shoal the mixed layer depth, leading to amplification of the El Niño downwelling signal, and improving the amplitude of the ENSO signal.
Plain Language Summary
The Tropical Atmosphere Ocean (TAO)/TRIangle Trans Ocean buoy Network (TRITON) mooring array straddles the equator in the tropical Pacific and is designed to monitor the large‐scale, basin‐wide ocean waves that comprise the changes in the El Niño/Southern Oscillation (ENSO) strength. We isolate the impact of these moorings by contrasting two simulations. In one, we use the TAO/TRITON data (i.e., the CONTROL experiment) and in the other we withhold these data (NOTAO). Using these data in the CONTROL generally improves the temperature and salinity model reconstruction especially in the eastern tropical Pacific, where variations in upwelling of the cold tongue define the ENSO cycle. Next, seasonal ENSO forecasts initialize |
doi_str_mv | 10.1029/2023JC020039 |
format | Article |
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Plain Language Summary
The Tropical Atmosphere Ocean (TAO)/TRIangle Trans Ocean buoy Network (TRITON) mooring array straddles the equator in the tropical Pacific and is designed to monitor the large‐scale, basin‐wide ocean waves that comprise the changes in the El Niño/Southern Oscillation (ENSO) strength. We isolate the impact of these moorings by contrasting two simulations. In one, we use the TAO/TRITON data (i.e., the CONTROL experiment) and in the other we withhold these data (NOTAO). Using these data in the CONTROL generally improves the temperature and salinity model reconstruction especially in the eastern tropical Pacific, where variations in upwelling of the cold tongue define the ENSO cycle. Next, seasonal ENSO forecasts initialized with the CONTROL more accurately represented the increase in sea surface temperature in the eastern equatorial Pacific due to El Niño than those initialized by the NOTAO experiment. The reason for this is that the layer at the ocean surface that is most strongly impacted by the wind is shallower in the case when assimilating TAO data and so any wind forcing has bigger impact on the ocean. These results suggest that it is important to continue to observe the ocean using these near‐equatorial moorings to assure the best possible ENSO forecasts.
Key Points
Tropical Atmosphere Ocean improves the temperature and salinity especially above the thermocline and in the upwelling region of the tropical eastern Pacific
Shoaled mixed layer depth serves to amplify the El Nino signal leading to improved El Nino/Southern Oscillation (ENSO) forecasts as validated by NINO3.4 SST
Both Rossby (January 2015) and Kelvin (July, October 2015) waves contribute to overall upwelling and improved ENSO forecasts</description><identifier>ISSN: 2169-9275</identifier><identifier>EISSN: 2169-9291</identifier><identifier>DOI: 10.1029/2023JC020039</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Amplitude ; Amplitudes ; Arrays ; Atmosphere ; Availability ; Buoys ; Deep sea moorings ; Downwelling ; El Nino ; El Nino phenomena ; El Nino-Southern Oscillation event ; ENSO ; Equator ; Equatorial waves ; Geophysics ; large‐scale ocean waves ; Mixed layer ; Mixed layer depth ; mixed layer dynamics ; Mooring ; observing system evaluation ; Ocean circulation ; Ocean surface ; Ocean waves ; Oceans ; Planetary waves ; prediction ; Predictions ; Rossby waves ; Salinity ; Salinity effects ; Sea surface ; Sea surface temperature ; Seasonal forecasting ; Shoals ; Southern Oscillation ; Surface temperature ; Surface water waves ; TAO/TRITON ; Thermocline ; Triton ; Tropical atmosphere ; Upwelling ; Wave propagation ; Wind</subject><ispartof>Journal of geophysical research. Oceans, 2023-11, Vol.128 (11), p.n/a</ispartof><rights>2023 American Geophysical Union. All Rights Reserved. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2642-f24826dc29e603cd071fb1059d94462e9ccf6f09e4d4e4f1f6ac792889198cef3</cites><orcidid>0000-0003-2561-1433 ; 0000-0002-1639-2323 ; 0009-0001-3739-5232 ; 0000-0003-0598-5198</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2023JC020039$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2023JC020039$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Hackert, Eric</creatorcontrib><creatorcontrib>Akella, S.</creatorcontrib><creatorcontrib>Ren, L.</creatorcontrib><creatorcontrib>Nakada, K.</creatorcontrib><creatorcontrib>Carton, J. A.</creatorcontrib><creatorcontrib>Molod, A.</creatorcontrib><title>Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño</title><title>Journal of geophysical research. Oceans</title><description>Starting in the early 1990's, the Tropical Atmosphere Ocean (TAO)/TRIangle Trans Ocean buoy Network (TRITON) array has been the pervasive source for observing large‐scale equatorial wave propagation which is key for El Nino/Southern Oscillation (ENSO) predictions. However, removal of western TRITON moorings, the plan to reorganize the array (i.e., TPOS 2020), and availability of other sources of in situ data (e.g., Argo) have highlighted the need to rigorously assess the impact of TAO/TRITON data on ENSO predictions. Therefore, we evaluate TAO/TRITON array using data denial assimilation experiments and assess the impact on coupled atmosphere/ocean predictions of the big 2015 El Niño. Validation of the CONTROL (assimilates all available data) and NOTAO (withholds TAO/TRITON data) reanalyses shows that assimilating TAO/TRITON data generally improves comparisons versus gridded and pointwise in situ observations. This is especially true across the entire basin above and in the eastern half of the Pacific just below the thermocline for temperature. Even with relatively few observations, salinity is generally improved except near 120°W near the surface. To evaluate the impact of TAO/TRITON data on ENSO initialization, seasonal forecasts were initialized from the CONTROL and NOTAO experiments. For the 9‐month forecasts which were initialized in January, July, and October 2015, both the amplitude and the accuracy of the ensembles initialized with TAO/TRITON data were closer to observations. Through the analysis of Kelvin and Rossby waves, we show that the impact of TAO/TRITON is to generally shoal the mixed layer depth, leading to amplification of the El Niño downwelling signal, and improving the amplitude of the ENSO signal.
Plain Language Summary
The Tropical Atmosphere Ocean (TAO)/TRIangle Trans Ocean buoy Network (TRITON) mooring array straddles the equator in the tropical Pacific and is designed to monitor the large‐scale, basin‐wide ocean waves that comprise the changes in the El Niño/Southern Oscillation (ENSO) strength. We isolate the impact of these moorings by contrasting two simulations. In one, we use the TAO/TRITON data (i.e., the CONTROL experiment) and in the other we withhold these data (NOTAO). Using these data in the CONTROL generally improves the temperature and salinity model reconstruction especially in the eastern tropical Pacific, where variations in upwelling of the cold tongue define the ENSO cycle. Next, seasonal ENSO forecasts initialized with the CONTROL more accurately represented the increase in sea surface temperature in the eastern equatorial Pacific due to El Niño than those initialized by the NOTAO experiment. The reason for this is that the layer at the ocean surface that is most strongly impacted by the wind is shallower in the case when assimilating TAO data and so any wind forcing has bigger impact on the ocean. These results suggest that it is important to continue to observe the ocean using these near‐equatorial moorings to assure the best possible ENSO forecasts.
Key Points
Tropical Atmosphere Ocean improves the temperature and salinity especially above the thermocline and in the upwelling region of the tropical eastern Pacific
Shoaled mixed layer depth serves to amplify the El Nino signal leading to improved El Nino/Southern Oscillation (ENSO) forecasts as validated by NINO3.4 SST
Both Rossby (January 2015) and Kelvin (July, October 2015) waves contribute to overall upwelling and improved ENSO forecasts</description><subject>Amplitude</subject><subject>Amplitudes</subject><subject>Arrays</subject><subject>Atmosphere</subject><subject>Availability</subject><subject>Buoys</subject><subject>Deep sea moorings</subject><subject>Downwelling</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>ENSO</subject><subject>Equator</subject><subject>Equatorial waves</subject><subject>Geophysics</subject><subject>large‐scale ocean waves</subject><subject>Mixed layer</subject><subject>Mixed layer depth</subject><subject>mixed layer dynamics</subject><subject>Mooring</subject><subject>observing system evaluation</subject><subject>Ocean circulation</subject><subject>Ocean surface</subject><subject>Ocean waves</subject><subject>Oceans</subject><subject>Planetary waves</subject><subject>prediction</subject><subject>Predictions</subject><subject>Rossby waves</subject><subject>Salinity</subject><subject>Salinity effects</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Seasonal forecasting</subject><subject>Shoals</subject><subject>Southern Oscillation</subject><subject>Surface temperature</subject><subject>Surface water waves</subject><subject>TAO/TRITON</subject><subject>Thermocline</subject><subject>Triton</subject><subject>Tropical atmosphere</subject><subject>Upwelling</subject><subject>Wave propagation</subject><subject>Wind</subject><issn>2169-9275</issn><issn>2169-9291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kN1Kw0AQhRdRsGjvfIAFb42dnWx-5rKEWltKqyVeh3WziylpUndbJI_lM_hiRqrilXMzw_Cdw-EwdiXgVgDSCAHDeQYIENIJG6CIKSAkcfp7J9E5G3q_gX5SkUpJA_Y42-6U3vPW8v2L4fl4NcrXs3y15GPnVMfbhq-NalTdeeO5akr-4ExZ6X3VNv5HhSAiPqn5svp4by_ZmVW1N8PvfcGe7iZ5dh8sVtNZNl4EGmOJgUWZYlxqJBNDqEtIhH0WEFFJUsZoSGsbWyAjS2mkFTZWOiFMUxKUamPDC3Z99N259vVg_L7YtAfXJ_UFpr1HAgKop26OlHat987YYueqrXJdIaD46q3421uPh0f8rapN9y9bzKfrDKOkf30C6lFrQQ</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Hackert, Eric</creator><creator>Akella, S.</creator><creator>Ren, L.</creator><creator>Nakada, K.</creator><creator>Carton, J. A.</creator><creator>Molod, A.</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0003-2561-1433</orcidid><orcidid>https://orcid.org/0000-0002-1639-2323</orcidid><orcidid>https://orcid.org/0009-0001-3739-5232</orcidid><orcidid>https://orcid.org/0000-0003-0598-5198</orcidid></search><sort><creationdate>202311</creationdate><title>Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño</title><author>Hackert, Eric ; Akella, S. ; Ren, L. ; Nakada, K. ; Carton, J. A. ; Molod, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2642-f24826dc29e603cd071fb1059d94462e9ccf6f09e4d4e4f1f6ac792889198cef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Amplitude</topic><topic>Amplitudes</topic><topic>Arrays</topic><topic>Atmosphere</topic><topic>Availability</topic><topic>Buoys</topic><topic>Deep sea moorings</topic><topic>Downwelling</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>El Nino-Southern Oscillation event</topic><topic>ENSO</topic><topic>Equator</topic><topic>Equatorial waves</topic><topic>Geophysics</topic><topic>large‐scale ocean waves</topic><topic>Mixed layer</topic><topic>Mixed layer depth</topic><topic>mixed layer dynamics</topic><topic>Mooring</topic><topic>observing system evaluation</topic><topic>Ocean circulation</topic><topic>Ocean surface</topic><topic>Ocean waves</topic><topic>Oceans</topic><topic>Planetary waves</topic><topic>prediction</topic><topic>Predictions</topic><topic>Rossby waves</topic><topic>Salinity</topic><topic>Salinity effects</topic><topic>Sea surface</topic><topic>Sea surface temperature</topic><topic>Seasonal forecasting</topic><topic>Shoals</topic><topic>Southern Oscillation</topic><topic>Surface temperature</topic><topic>Surface water waves</topic><topic>TAO/TRITON</topic><topic>Thermocline</topic><topic>Triton</topic><topic>Tropical atmosphere</topic><topic>Upwelling</topic><topic>Wave propagation</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hackert, Eric</creatorcontrib><creatorcontrib>Akella, S.</creatorcontrib><creatorcontrib>Ren, L.</creatorcontrib><creatorcontrib>Nakada, K.</creatorcontrib><creatorcontrib>Carton, J. A.</creatorcontrib><creatorcontrib>Molod, A.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of geophysical research. Oceans</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hackert, Eric</au><au>Akella, S.</au><au>Ren, L.</au><au>Nakada, K.</au><au>Carton, J. A.</au><au>Molod, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño</atitle><jtitle>Journal of geophysical research. Oceans</jtitle><date>2023-11</date><risdate>2023</risdate><volume>128</volume><issue>11</issue><epage>n/a</epage><issn>2169-9275</issn><eissn>2169-9291</eissn><abstract>Starting in the early 1990's, the Tropical Atmosphere Ocean (TAO)/TRIangle Trans Ocean buoy Network (TRITON) array has been the pervasive source for observing large‐scale equatorial wave propagation which is key for El Nino/Southern Oscillation (ENSO) predictions. However, removal of western TRITON moorings, the plan to reorganize the array (i.e., TPOS 2020), and availability of other sources of in situ data (e.g., Argo) have highlighted the need to rigorously assess the impact of TAO/TRITON data on ENSO predictions. Therefore, we evaluate TAO/TRITON array using data denial assimilation experiments and assess the impact on coupled atmosphere/ocean predictions of the big 2015 El Niño. Validation of the CONTROL (assimilates all available data) and NOTAO (withholds TAO/TRITON data) reanalyses shows that assimilating TAO/TRITON data generally improves comparisons versus gridded and pointwise in situ observations. This is especially true across the entire basin above and in the eastern half of the Pacific just below the thermocline for temperature. Even with relatively few observations, salinity is generally improved except near 120°W near the surface. To evaluate the impact of TAO/TRITON data on ENSO initialization, seasonal forecasts were initialized from the CONTROL and NOTAO experiments. For the 9‐month forecasts which were initialized in January, July, and October 2015, both the amplitude and the accuracy of the ensembles initialized with TAO/TRITON data were closer to observations. Through the analysis of Kelvin and Rossby waves, we show that the impact of TAO/TRITON is to generally shoal the mixed layer depth, leading to amplification of the El Niño downwelling signal, and improving the amplitude of the ENSO signal.
Plain Language Summary
The Tropical Atmosphere Ocean (TAO)/TRIangle Trans Ocean buoy Network (TRITON) mooring array straddles the equator in the tropical Pacific and is designed to monitor the large‐scale, basin‐wide ocean waves that comprise the changes in the El Niño/Southern Oscillation (ENSO) strength. We isolate the impact of these moorings by contrasting two simulations. In one, we use the TAO/TRITON data (i.e., the CONTROL experiment) and in the other we withhold these data (NOTAO). Using these data in the CONTROL generally improves the temperature and salinity model reconstruction especially in the eastern tropical Pacific, where variations in upwelling of the cold tongue define the ENSO cycle. Next, seasonal ENSO forecasts initialized with the CONTROL more accurately represented the increase in sea surface temperature in the eastern equatorial Pacific due to El Niño than those initialized by the NOTAO experiment. The reason for this is that the layer at the ocean surface that is most strongly impacted by the wind is shallower in the case when assimilating TAO data and so any wind forcing has bigger impact on the ocean. These results suggest that it is important to continue to observe the ocean using these near‐equatorial moorings to assure the best possible ENSO forecasts.
Key Points
Tropical Atmosphere Ocean improves the temperature and salinity especially above the thermocline and in the upwelling region of the tropical eastern Pacific
Shoaled mixed layer depth serves to amplify the El Nino signal leading to improved El Nino/Southern Oscillation (ENSO) forecasts as validated by NINO3.4 SST
Both Rossby (January 2015) and Kelvin (July, October 2015) waves contribute to overall upwelling and improved ENSO forecasts</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2023JC020039</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0003-2561-1433</orcidid><orcidid>https://orcid.org/0000-0002-1639-2323</orcidid><orcidid>https://orcid.org/0009-0001-3739-5232</orcidid><orcidid>https://orcid.org/0000-0003-0598-5198</orcidid></addata></record> |
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subjects | Amplitude Amplitudes Arrays Atmosphere Availability Buoys Deep sea moorings Downwelling El Nino El Nino phenomena El Nino-Southern Oscillation event ENSO Equator Equatorial waves Geophysics large‐scale ocean waves Mixed layer Mixed layer depth mixed layer dynamics Mooring observing system evaluation Ocean circulation Ocean surface Ocean waves Oceans Planetary waves prediction Predictions Rossby waves Salinity Salinity effects Sea surface Sea surface temperature Seasonal forecasting Shoals Southern Oscillation Surface temperature Surface water waves TAO/TRITON Thermocline Triton Tropical atmosphere Upwelling Wave propagation Wind |
title | Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño |
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