{"id":3005,"date":"2026-01-07T14:06:08","date_gmt":"2026-01-07T14:06:08","guid":{"rendered":"https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2026\/01\/NDouglasImage2.png"},"modified":"2026-01-07T14:06:24","modified_gmt":"2026-01-07T14:06:24","slug":"ndouglasimage2","status":"inherit","type":"attachment","link":"https:\/\/research.reading.ac.uk\/met-darc\/2026\/01\/14\/improving-how-we-represent-the-land-in-earth-system-models\/ndouglasimage2\/","title":{"rendered":"NDouglasImage2"},"author":1167,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"__cvm_playback_settings":[],"__cvm_video_id":"","_links_to":"","_links_to_target":""},"class_list":["post-3005","attachment","type-attachment","status-inherit","hentry"],"acf":[],"yoast_head":"<!-- This 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alt=\"Figure 2: Examples of where machine learning can facilitate each part of the land surface model parameter data assimilation workflow.\" srcset=\"https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2026\/01\/NDouglasImage2-300x167.png 300w, https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2026\/01\/NDouglasImage2-1024x570.png 1024w, https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2026\/01\/NDouglasImage2-768x428.png 768w, https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2026\/01\/NDouglasImage2-1536x856.png 1536w, https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2026\/01\/NDouglasImage2.png 1887w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n"},"caption":{"rendered":"<p>Figure 2: Examples of where machine learning can facilitate each part of the land surface model parameter data assimilation workflow. <\/p>\n"},"alt_text":"Figure 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