{"url":"/method/hybrid-awt","slug":"hybrid-awt","name":"Hybrid AWT","full_name":"Hybrid Air-Water Temperature Difference","full_name_withheld":false,"description_markdown":"The hybrid model couples existing macro-meteorological models developed for similar microclimates along with some minimal amount of locally-acquired meteorological and $C_n^2$ data. The hybrid model framework consists of two components, a baseline macro-meteorological model and a machine learning model trained on that baseline macro-meteorological model’s residual error over the locally-acquired training measurements.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Hybrid Optical Turbulence Models Using Machine Learning and Local Measurements","paper":"/paper/hybrid-optical-turbulence-models-using","first_author":"Christopher Jellen","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/hybrid-optical-turbulence-models-using"},"source":{"url":"https://arxiv.org/abs/2310.17829v1","title":"Hybrid Optical Turbulence Models Using Machine Learning and Local Measurements","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Non-Parametric Regression","url":"/methods/category/non-parametric-regression","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":"/paper/effective-benchmarks-for-optical-turbulence","title":"Effective Benchmarks for Optical Turbulence Modeling","date":"2024-01-07","arxiv_id":"2401.03573","n_code_links":1,"syntology":null},{"paper":"/paper/hybrid-optical-turbulence-models-using","title":"Hybrid Optical Turbulence Models Using Machine Learning and Local Measurements","date":"2023-10-27","arxiv_id":"2310.17829","n_code_links":0,"syntology":null}],"papers_shown":2,"tasks":[{"task":"/task/time-series-forecasting","name":"Time Series Forecasting","papers":1},{"task":"/task/time-series-regression","name":"Time Series Regression","papers":1}],"tasks_shown":2,"n_tasks":2,"usage_by_year":[{"year":"2023","papers":1},{"year":"2024","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/hybrid-awt"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}