{"id":"W2792379584","doi":"10.5194/hess-22-5711-2018","title":"Assimilation of passive microwave AMSR-2 satellite observations in a snowpack evolution model over northeastern Canada","year":2018,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Center for Northern Studies; Université de Sherbrooke","funders":"","keywords":"Snowpack; Environmental science; Snow; Atmospheric radiative transfer codes; Data assimilation; Brightness temperature; Special sensor microwave/imager; Radiometer; Atmospheric sciences; Radiative transfer; Wind speed; Remote sensing; Meteorology; Microwave; Climatology; Physics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002912889,0.0008309793,0.0003837466,0.0004297355,0.001198543,0.0007972402,0.001064467,0.0006174362,0.0007725934],"category_scores_gemma":[0.0004452545,0.0003696004,0.0005861533,0.0006402651,0.0004993187,0.000339198,0.0003501928,0.0005873146,0.0001053653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009305409,"about_ca_system_score_gemma":0.00945874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9740611,"about_ca_topic_score_gemma":0.9520661,"domain_scores_codex":[0.9998895,0.000009187946,0.000005302717,0.00003403107,0.00002520494,0.00003692403],"domain_scores_gemma":[0.9997972,0.00002414797,0.00001715199,0.00001145656,0.0001094917,0.00004057939],"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":[0.0002598364,0.0001580144,0.06310527,0.00003531351,0.0001161151,0.0001531304,0.00009702835,0.9241918,0.004202097,0.0003846172,0.0009264295,0.006370394],"study_design_scores_gemma":[0.00004257389,0.00001761858,0.02019553,0.000004115903,0.00002085485,0.000004739238,0.00003954749,0.9787707,0.0005820252,0.00004168952,0.0002660044,0.00001459294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965273,0.00008244577,0.001326817,0.00007143284,0.00001522309,0.00002670388,0.0008379092,0.00009554606,0.00101675],"genre_scores_gemma":[0.9966035,0.0000498319,0.001449277,0.00001944488,0.000003545315,0.00001249117,0.001111691,0.00001085502,0.0007392994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02593893,"threshold_uncertainty_score":0.06751573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446170176572309,"score_gpt":0.2072502649401201,"score_spread":0.182788563174397,"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."}}