{"id":175110,"date":"2021-12-15T15:23:33","date_gmt":"2021-12-15T20:23:33","guid":{"rendered":"https:\/\/web.uri.edu\/gso\/?p=175110"},"modified":"2022-02-20T18:45:42","modified_gmt":"2022-02-20T23:45:42","slug":"a-transformative-gulf-stream-mission","status":"publish","type":"post","link":"https:\/\/web.uri.edu\/gso\/news\/a-transformative-gulf-stream-mission\/","title":{"rendered":"A transformative Gulf Stream mission"},"content":{"rendered":"
December 15, 2021<\/h5>\n

A group of Saildrone Explorers will build the largest ever set of wintertime weather and carbon data in the Gulf Stream.<\/span><\/h2>\n

The Gulf Stream is the best-known of the five western boundary currents\u2014strong, fast-flowing ocean currents that carry warm water from the equator to the poles. They are hugely influential on weather and climate and hot spots for carbon uptake. The Gulf Stream is also a notoriously rough ocean region and difficult and dangerous for in situ data collection, especially in winter when frigid, violent storms barrel across the North Atlantic.<\/span><\/p>\n

A collaborative mission by Saildrone, the URI Graduate School of Oceanography and the European Centre for Medium-Range Weather Forecasts (ECMWF), funded by a more than<\/span> \u20ac1m grant from Google.org,<\/span><\/a> will create a first-of-its-kind data set. Three Saildrone Explorer uncrewed surface vehicles (USVs) were deployed from Newport, R.I. on December 9 to spend the next six months sailing back and forth across the Gulf Stream in some of the roughest ocean conditions on Earth collecting ocean data to improve weather forecasting and reduce uncertainties in how much carbon dioxide the ocean absorbs. <\/span><\/p>\n

\u201cThe winter 2022 Gulf Stream mission is going to create a data set on a spatial and temporal scale that we\u2019ve never had before. We were asked to identify the area of ocean that long-term persistent observation would have the most significant impact on improving weather forecasting, and it\u2019s undoubtedly the Gulf Stream,\u201d said Philip Browne, a researcher at ECMWF and co-principal investigator on the mission.<\/span><\/p>\n

The Gulf Stream mission will collect data to support two concurrent science investigations: Researchers at ECMWF will examine the precise location of the Gulf Stream and the sharp temperature differences where warm and cold waters collide, and researchers at the URI Graduate School of Oceanography will study how, where, and how much human-produced carbon dioxide the Gulf Stream can absorb.<\/span><\/p>\n

One vehicle will be stationed \u201cupstream\u201d, east of Cape Hatteras, NC, where the current is like a narrow river of water, a second will be stationed mid-stream, and the third will be stationed \u201cdownstream\u201d off the Grand Banks of Newfoundland where the current broadens, meanders, and breaks into eddies. All three vehicles will sail back and forth across the current to capture as many ocean features as possible.<\/span><\/p>\n

In addition to the standard suite of oceanographic and meteorological sensors, the Saildrone Explorers will also carry an ASVCO2 sensor, designed by the National Oceanographic and Atmospheric Administration (NOAA)\u2019s Pacific Marine Environmental Laboratory (PMEL) and built by Saildrone, and<\/span> Acoustic Doppler Current Profilers (ADCP)<\/span><\/a> to measure the speed and direction of subsurface ocean currents.<\/span><\/p>\n

\"\"\/<\/div><\/div><\/section>\n

How much CO2 the ocean can absorb?<\/h3>\n

Winter storms in the North Atlantic carry cold air from the continent over the ocean. These storms extract an extraordinary amount of heat from the Gulf Stream, and the colder water can absorb more CO<\/span>2<\/span>. Winter storms also make the ocean more turbulent, mixing the ocean vertically and exposing a larger volume of water to the atmosphere, and strong winds help to drive atmospheric CO<\/span>2<\/span> into the ocean. A portion of the Gulf Stream waters travel northward, becoming colder and denser, until they sink into the deep ocean, carrying absorbed carbon with it which can be locked away for centuries.<\/span><\/p>\n

The Global Carbon Budget 2021, released at COP26, uses ocean carbon uptake estimates generated by models and sophisticated statistical methods to fill gaps where in situ data is lacking. The models work well, despite a scarcity of data, but they can\u2019t yet reconstruct all the rich, spatial patterns in the dynamic ocean environment, and still have uncertainties that preclude efforts to use these estimates to help verify nationally-reported emissions. In addition, without resolving the spatial patterns of ocean carbon uptake, it is hard to understand how ocean circulation changes  will influence the delivery of anthropogenic carbon from the ocean surface to its depths.<\/span><\/p>\n

\u201cThere is a lot of uncertainty in ocean carbon uptake\u2014nearly 4 billion tons of CO<\/span>2<\/span> separates the average of the model-based estimates from observation-based estimates. That\u2019s nearly as much CO<\/span>2<\/span> as is emitted by the US [about 5 billion tons] each year!\u201d said <\/span>Jaime Palter<\/span><\/a>, GSO associate professor and a co-principal investigator of the mission.<\/span><\/p>\n

Palter and her team at GSO will use the data collected during the mission to make maps of air-sea carbon exchange across the Gulf Stream at an unprecedented resolution. The maps will provide more precise information about carbon uptake in the Gulf Stream and a better understanding of the mechanics of that process.<\/span><\/p>\n

\u201cDuring our<\/span> first mission in 2019,<\/span><\/a> we learned a great deal. We had a single Saildrone Explorer operating in the Gulf Stream for about 18 days. In that short period, we collected<\/span> as many ocean CO<\/span>2<\/span> measurements in the Gulf Stream<\/span><\/a> for the month of February as had ever been recorded in the entire history of oceanography for that month,\u201d said Palter.<\/span><\/p>\n

\u201cIf everything goes according to plan, the winter 2021\/2022 will soon be the best observed for ocean and atmosphere CO<\/span>2<\/span> in a western boundary current region in any ocean basin over all time. And we are going to be able to do so much with this data set!\u201d<\/span><\/p>\n

\"Three
Three Saildrone Explorers tied at the dock at Safe Harbor Newport Shipyards in Newport, R.I. (Photo: Jessica Kaelblein)<\/figcaption><\/figure>\n

In weather forecasting, better inputs yield better outputs<\/h3>\n

Most people are concerned with what the weather will be tomorrow or in a few days, and short-term weather forecasting has dramatically improved in recent decades. But medium and long-range weather forecasting, 10 days out and further, is still difficult. ECMWF\u2019s Earth system model couples the atmosphere with the ocean, ocean waves, sea ice, and land, all of which have a significant impact on the evolution of weather. The initial state of conditions fed into the model have to be as accurate and realistic as possible\u2014lack of in situ observation in areas like the Gulf Stream can throw weather models off.<\/span><\/p>\n

\u201cSatellite data has shown that there are errors in the model, but it doesn\u2019t show why those errors are occurring. If sea surface temperature fronts in the western boundary currents shift by a few hundred kilometers, you can have a 10\u00b0C shift in water temperature, which can dramatically shift the forecast compared to reality,\u201d explained Browne.<\/span><\/p>\n

Accurate long-range weather forecasting not only helps to save lives in the event of an impending natural disaster, but it also helps to improve energy management, potentially saving money and resources.<\/span><\/p>\n

A storm coming across the Atlantic may hit Southern Europe, with its clouds reducing solar power generation. If it hits Northern Europe, it might increase wind power generation. A winter storm could mean people need more energy to heat their homes, increasing demand on the grid. Knowing where and when to expect extreme weather allows energy managers to make more informed decisions about power generation and consumption weeks and even months in advance.<\/span><\/p>\n

\u201cSaildrone Explorers carry such a variety of instruments, and we\u2019ll be looking at all the different observations from the saildrones, from the wind to the waves, and especially the ADCP, which will give us a 3D picture of the subsurface currents. With all three vehicles sampling at once over a long period of time, we expect to gain new understanding of ocean processes in this region,\u201d said Browne.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Three Saildrones launched from Newport, R.I., will spend the next six months in the Gulf Stream collecting ocean data to improve weather forecasting and reduce uncertainties in how much carbon dioxide the ocean absorbs.\u00a0<\/p>\n","protected":false},"author":2165,"featured_media":175113,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[79],"tags":[2590,2060,747,2876,1916,316,2879],"class_list":["post-175110","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-carbon","tag-climate","tag-climate-change","tag-gulf-stream","tag-jaime-palter","tag-physical-oceanography","tag-saildrone"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/posts\/175110","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/users\/2165"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/comments?post=175110"}],"version-history":[{"count":5,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/posts\/175110\/revisions"}],"predecessor-version":[{"id":176604,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/posts\/175110\/revisions\/176604"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/media\/175113"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/media?parent=175110"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/categories?post=175110"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/tags?post=175110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}