{"id":"W2157607816","doi":"10.1175/2010mwr3405.1","title":"Efficient Ensemble Covariance Localization in Variational Data Assimilation","year":2010,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Data assimilation; Covariance; Separable space; Grid; Function (biology); Computer science; Algorithm; Applied mathematics; Scale (ratio); Covariance function; Mathematics; Covariance matrix; Mathematical optimization; Mathematical analysis; Geometry; Physics; Meteorology; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001535378,0.0004258548,0.0008676614,0.0003957887,0.0003670109,0.0007030851,0.00102394,0.0006059986,0.00117422],"category_scores_gemma":[0.004085287,0.0004587222,0.0005566762,0.0005538827,0.0006609172,0.001181289,0.001514005,0.001033715,0.0003489705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529167,"about_ca_system_score_gemma":0.000941076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005091594,"about_ca_topic_score_gemma":0.004742338,"domain_scores_codex":[0.9995474,0.0002164227,0.00002280587,0.00008205601,0.00008945403,0.00004182674],"domain_scores_gemma":[0.9988852,0.0006144982,0.00008327329,0.0001727229,0.0002101393,0.00003411622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006222916,0.00003085094,0.001124721,0.00004318631,0.00005643821,0.00004304852,0.0001001487,0.8355702,0.00857763,0.06562585,0.000913543,0.08785208],"study_design_scores_gemma":[0.000002639968,0.000005733402,0.00005191801,0.000001533971,0.00000170901,0.000004433135,0.000003571631,0.9945002,0.0006420791,0.004556989,0.0002260263,0.000003228488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01083106,0.00005214766,0.9885089,0.00005223242,0.00001082248,0.000006571654,0.00001491736,0.0001754487,0.0003479084],"genre_scores_gemma":[0.4281321,0.0001237952,0.5692676,0.00007197891,0.00003748467,0.00009406728,0.0001380412,0.0002005583,0.001934457],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005091594,"threshold_uncertainty_score":0.01012397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04748847551002002,"score_gpt":0.271411469600849,"score_spread":0.223922994090829,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}