Weather forecasting is a canonical predictive challenge that has depended primarily on model-based methods. We explore new directions with forecasting weather as a data intensive challenge that involves inferences across space and time. We study speci\ufb01cally the power of making predictions via a hybrid approach that combines discriminatively trained predictive models with a deep neural network that models the joint statistics of a set of weather-related variables. We show how the base model can be enhanced with spatial interpolation that uses learned long-range spatial dependencies. We also derive an e\ufb03cient learning and inference procedure that allows for large scale optimization of the model parameters. We evaluate the methods with experiments on real-world meteorological data that highlight the promise of the approach.<\/p>\n","protected":false},"excerpt":{"rendered":"
Weather forecasting is a canonical predictive challenge that has depended primarily on model-based methods. We explore new directions with forecasting weather as a data intensive challenge that involves inferences across space and time. We study speci\ufb01cally the power of making predictions via a hybrid approach that combines discriminatively trained predictive models with a deep neural […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-319163","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_publishername":"ACM Press","msr_edition":"KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","msr_affiliation":"","msr_published_date":"2015-08-15","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"379-386","msr_chapter":"","msr_isbn":"978-1-4503-3664-2","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"319166","msr_publicationurl":"","msr_doi":"10.1145\/2783258.2783275","msr_publication_uploader":[{"type":"file","title":"weather_hybrid_representation","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/weather_hybrid_representation.pdf","id":319166,"label_id":0},{"type":"doi","title":"10.1145\/2783258.2783275","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Aditya Grover","user_id":0,"rest_url":false},{"type":"user_nicename","value":"akapoor","user_id":30903,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=akapoor"},{"type":"user_nicename","value":"horvitz","user_id":32033,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=horvitz"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[256167],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":256167,"post_title":"Windflow: Airplanes as Vast Sensor Network","post_name":"windflow","post_type":"msr-project","post_date":"2016-07-14 14:48:11","post_modified":"2023-05-18 12:03:04","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/windflow\/","post_excerpt":"The Windflow project explores the research questions: Could airplanes in flight be employed as a vast sensor network to determine atmospheric conditions? 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