{"id":981,"date":"2022-12-06T17:10:13","date_gmt":"2022-12-06T17:10:13","guid":{"rendered":"https:\/\/pearl.reading.ac.uk\/academy\/?post_type=overview&p=981"},"modified":"2022-12-06T17:10:13","modified_gmt":"2022-12-06T17:10:13","slug":"knmi-climate-explorer","status":"publish","type":"overview","link":"https:\/\/pearl.reading.ac.uk\/academy\/overview\/knmi-climate-explorer\/","title":{"rendered":"KNMI Climate Explorer"},"content":{"rendered":"

Exploring major drivers of seasonal climate variability using the KNMI Climate Explorer tool.<\/p>\n

During this exercise, we will be using the KNMI Climate Explorer to visualise the links between global sea-surface temperature (SST) and regional rainfall over Southeast Asia. This online tool allows the user to plot observations and climate model output for a variety of regions, seasons, and variables. No cost. Online tool is open access.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
BIP-M Alignment:<\/strong><\/td>\n3.4.2 Climate variability and climate change<\/td>\n<\/tr>\n
Learning Aims<\/strong><\/td>\nLearn about teleconnections (statistical relationships) between SSTs and regional rainfall, and their use as a predictor for seasonal forecasts.<\/p>\n
    \n
  • Use SST and rainfall observations to identify regions and seasons that have a significant lagged correlation.<\/li>\n
  • Analyse the impact of climate change on the statistical relationships of these teleconnections.<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n
Target Audience<\/strong><\/td>\nEntry-level Scientist (beginner technical)<\/td>\n<\/tr>\n
Continent<\/strong><\/p>\n

\u00a0<\/strong><\/td>\n

Global<\/td>\n<\/tr>\n
Duration<\/strong><\/p>\n

\u00a0<\/strong><\/td>\n

3 \u2013 5 hours<\/td>\n<\/tr>\n
Delivery method<\/strong><\/p>\n

\u00a0<\/strong><\/td>\n

In-person<\/td>\n<\/tr>\n
Format (primary)<\/strong><\/td>\nWorksheet<\/td>\n<\/tr>\n
IPR Owner<\/strong><\/td>\nMet Office<\/td>\n<\/tr>\n
Course status<\/strong><\/td>\nActive<\/td>\n<\/tr>\n
Contact email:<\/strong><\/td>\nStephan Lines \/ Rosanna Amato
\n< rosanna.amato@metoffice.gov.uk ><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Find out more<\/a><\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"class_list":["post-981","overview","type-overview","status-publish","hentry"],"acf":[],"yoast_head":"\nKNMI Climate Explorer — The Pearl Academy<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/pearl.reading.ac.uk\/academy\/overview\/knmi-climate-explorer\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"KNMI Climate Explorer — The Pearl Academy\" \/>\n<meta property=\"og:description\" content=\"Exploring major drivers of seasonal climate variability using the KNMI Climate Explorer tool. 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