{"id":27939,"date":"2017-12-14T11:25:04","date_gmt":"2017-12-14T15:25:04","guid":{"rendered":"http:\/\/www.fondriest.com\/news\/?p=27939"},"modified":"2017-12-14T12:48:41","modified_gmt":"2017-12-14T16:48:41","slug":"ncar-model-gives-u-texas-researchers-advanced-tool-predicting-la-nina-drought-impact","status":"publish","type":"post","link":"https:\/\/www.fondriest.com\/news\/ncar-model-gives-u-texas-researchers-advanced-tool-predicting-la-nina-drought-impact.htm","title":{"rendered":"NCAR Model Gives U. of Texas Researchers Advanced Tool for Predicting La Ni\u00f1a Drought Impact"},"content":{"rendered":"<div id=\"attachment_27967\" style=\"width: 330px\" class=\"wp-caption alignright\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-27967\" class=\"size-full wp-image-27967\" src=\"https:\/\/www.fondriest.com\/news\/wp-content\/uploads\/2017\/12\/nina_4.jpg\" alt=\"La Ni\u00f1a\" width=\"320\" height=\"160\" srcset=\"https:\/\/news.fondriest.com\/wp-content\/uploads\/2017\/12\/nina_4.jpg 320w, https:\/\/news.fondriest.com\/wp-content\/uploads\/2017\/12\/nina_4-300x150.jpg 300w\" sizes=\"auto, (max-width: 320px) 100vw, 320px\" \/><p id=\"caption-attachment-27967\" class=\"wp-caption-text\">Jason-3 sea level residuals on 12\/07\/2017. (Courtesy: NASA\/JPL-Caltech.)<\/p><\/div>\n<p><span style=\"font-weight: 400;\">El Ni\u00f1o and La Ni\u00f1a are recurrent warming and cooling patterns in the tropical Pacific Ocean that affect weather patterns around the world. While El Ni\u00f1o tends to spring up due to a random wind change in the tropical Pacific, La Ni\u00f1a often follows on El Ni\u00f1o\u2019s heels, cooling the tropical Pacific Ocean, causing drought conditions across the southern tier of the US. How long drought will persist due to La Ni\u00f1a is an important question for every community that suffers from extremely dry conditions. Pedro DiNezio, research associate at the University of Texas Institute for Geophysics (UTIG), and his colleague, Yuko Okumura, also a research associate at UTIG, have been hard at work trying to predict how long and how severe drought will be due to La Ni\u00f1a, and they hope to predict the La Ni\u00f1a influence well in advance. The National Center for Atmospheric Research (NCAR) model used in their most recently published study seems to be giving the best estimates yet for predicting La Ni\u00f1a and its drought impact.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cWe know that El Ni\u00f1o usually lasts for a year, but La Ni\u00f1a can last a couple years or more. While previous estimates are good for predicting what will happen for one to two seasons, they can\u2019t be used for predicting a multi-year La Ni\u00f1a,\u201d says Okumura.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While Colorado-based NCAR developed the model, DiNezio rigorously tested it based on how well it predicted actual La Ni\u00f1a behavior observed in prior years. DiNezio worked closely with NCAR scientists, extending the predictions to the ongoing La Ni\u00f1a event that began in 2016. This work resulted in a <\/span><a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/2017GL074904\/abstract;jsessionid=47F03206C7AAE6F7FE59F2BDF3F79B30.f02t04\"><span style=\"font-weight: 400;\">study recently published in Geophysical Research Letters.<\/span><\/a><\/p>\n<p><span style=\"font-weight: 400;\">The NCAR model seems to capture historical La Ni\u00f1a phenomena well. The forecast simulations were initialized with observed oceanic conditions every November during 1954-2015 and integrated for a decade. The simulation was repeated 40 times for each year. Looking at how most of the simulations turned out, the most likely scenario of what the climate system will do can be predicted. Differences among simulations, on the other hand, provide a range of uncertainties in the predictions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Many types of oceanic data were used to initialize the NCAR model, including sea surface temperature data from satellite and ship instruments, deeper ocean temperature data, sea surface height data, ocean current data and salinity data. Data was used from as many locations as possible. All the data were combined to create a three-dimensional structure of the global ocean. This structure was used to initialize the model for La Ni\u00f1a predictions. The model was then used to predict the evolution of the climate system based on principles of physics.<\/span><\/p>\n<div id=\"attachment_27959\" style=\"width: 360px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-27959\" class=\"wp-image-27959 size-full\" src=\"https:\/\/www.fondriest.com\/news\/wp-content\/uploads\/2017\/12\/nina_2.jpg\" alt=\"La Ni\u00f1a\" width=\"350\" height=\"167\" srcset=\"https:\/\/news.fondriest.com\/wp-content\/uploads\/2017\/12\/nina_2.jpg 350w, https:\/\/news.fondriest.com\/wp-content\/uploads\/2017\/12\/nina_2-300x143.jpg 300w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><p id=\"caption-attachment-27959\" class=\"wp-caption-text\">Map of sea surface height. (Courtesy: NASA\/JPL-Caltech.)<\/p><\/div>\n<p><span style=\"font-weight: 400;\">The NCAR model is one of the best climate models for simulating El Ni\u00f1o and La Ni\u00f1a. Multi-year La Ni\u00f1a events can be simulated by only a handful of climate models around the world, including the NCAR model. A major NCAR model breakthrough occurred in 2010, when a new atmospheric convection scheme was incorporated.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The NCAR model showed remarkable skill in predicting the occurrence of multi-year La Ni\u00f1a events that were preceded by a strong El Ni\u00f1o. Strong El Nino events cause massive discharge of oceanic heat out of the equatorial Pacific Ocean, leading to long-lasting La Nina conditions. \u201cWhen we saw the strong El Ni\u00f1o in 2015, we immediately thought a multi-year La Ni\u00f1a was likely,\u201d Okumura says. The NCAR model forecasts, initialized in November 2015 at the peak of the record-breaking 2015 El Ni\u00f1o event, provide a 60-80% probability of returning La Ni\u00f1a for the upcoming 2017-18 winter. \u201cThe data we have seen since 2015 have in fact shown that a multi-year La Ni\u00f1a has unfolded,\u201d says Okumura. \u201cOur current model does seem to be working well.\u201d<\/span><\/p>\n<p><em><span style=\"color: #808080;\">Top image:\u00a0Latest satellite image of ocean levels. (Courtesy: NASA\/JPL-Caltech.)<\/span><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers used NCAR model simulations incorporating sea surface, ocean current and other data to improve La Ni\u00f1a multi-year drought impact predictions. <\/p>\n","protected":false},"author":21,"featured_media":27965,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,8,44],"tags":[509,146,306,103,109,347,507,153],"class_list":["post-27939","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-featured-articles","category-newsfeed","category-oceans-coasts","tag-la-nina","tag-nasa","tag-national-center-for-atmospheric-research","tag-news-2","tag-news-ticker","tag-oceans-coasts","tag-utig","tag-weather"],"remote_post_permalink":false,"remote_post_featured_image":false,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NCAR Model Gives U. of Texas Researchers Advanced Tool for Predicting La Ni\u00f1a Drought Impact<\/title>\n<meta name=\"description\" content=\"Researchers used NCAR model simulations incorporating sea surface, ocean current and other data to improve La Ni\u00f1a multi-year drought impact predictions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.fondriest.com\/news\/ncar-model-gives-u-texas-researchers-advanced-tool-predicting-la-nina-drought-impact.htm\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NCAR Model Gives U. of Texas Researchers Advanced Tool for Predicting La Ni\u00f1a Drought Impact\" \/>\n<meta property=\"og:description\" content=\"Researchers used NCAR model simulations incorporating sea surface, ocean current and other data to improve La Ni\u00f1a multi-year drought impact predictions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.fondriest.com\/news\/ncar-model-gives-u-texas-researchers-advanced-tool-predicting-la-nina-drought-impact.htm\" \/>\n<meta property=\"og:site_name\" content=\"Environmental Monitor\" \/>\n<meta property=\"article:published_time\" content=\"2017-12-14T15:25:04+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2017-12-14T16:48:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.fondriest.com\/news\/wp-content\/uploads\/2017\/12\/Nina.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"300\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Lori Balster\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Lori Balster\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.fondriest.com\\\/news\\\/ncar-model-gives-u-texas-researchers-advanced-tool-predicting-la-nina-drought-impact.htm#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.fondriest.com\\\/news\\\/ncar-model-gives-u-texas-researchers-advanced-tool-predicting-la-nina-drought-impact.htm\"},\"author\":{\"name\":\"Lori Balster\",\"@id\":\"https:\\\/\\\/www.fondriest.com\\\/news\\\/#\\\/schema\\\/person\\\/cc098253ffd6cd9f653771a15dbd57df\"},\"headline\":\"NCAR Model Gives U. of Texas Researchers Advanced Tool for Predicting La Ni\u00f1a Drought Impact\",\"datePublished\":\"2017-12-14T15:25:04+00:00\",\"dateModified\":\"2017-12-14T16:48:41+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.fondriest.com\\\/news\\\/ncar-model-gives-u-texas-researchers-advanced-tool-predicting-la-nina-drought-impact.htm\"},\"wordCount\":696,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/www.fondriest.com\\\/news\\\/ncar-model-gives-u-texas-researchers-advanced-tool-predicting-la-nina-drought-impact.htm#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/news.fondriest.com\\\/wp-content\\\/uploads\\\/2017\\\/12\\\/Nina.jpeg\",\"keywords\":[\"La Ni\u00f1a\",\"NASA\",\"National Center for Atmospheric Research\",\"news\",\"news ticker\",\"Oceans &amp; 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