{"id":"W4393131310","doi":"10.22541/au.171128344.49725407/v1","title":"Assimilation of Satellite Albedo to Improve Simulations of Glacier Hydrology","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Canada First Research Excellence Fund; National Aeronautics and Space Administration; Canada Research Chairs; European Space Agency; Parks Canada","keywords":"Streamflow; Albedo (alchemy); Environmental science; Snow; Climatology; Shortwave; Glacier; Cryosphere; Surface runoff; Atmospheric sciences; Drainage basin; Meteorology; Geology; Physical geography; Sea ice; Geography; Radiative transfer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002775815,0.0004817983,0.0002834042,0.0002711409,0.0003505713,0.000453517,0.0004279661,0.0003195766,0.0005483183],"category_scores_gemma":[0.0005118045,0.0002495217,0.0004165898,0.0002757398,0.0002375435,0.0003121512,0.0002952298,0.0003736292,0.00007705259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008894632,"about_ca_system_score_gemma":0.00106008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1546371,"about_ca_topic_score_gemma":0.1191983,"domain_scores_codex":[0.9999316,0.00001148832,0.000005282412,0.0000209141,0.00001593451,0.000014833],"domain_scores_gemma":[0.9998399,0.00003321165,0.00002515025,0.00002617123,0.00005145914,0.0000240491],"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":[0.000104833,0.0001506468,0.02416553,0.00001839556,0.00006680591,0.00004148192,0.00006094744,0.9560184,0.009709104,0.0002851365,0.0004868953,0.008891724],"study_design_scores_gemma":[0.00002471348,0.00002666786,0.006576363,0.000001224095,0.000009477338,0.00000337475,0.000006722451,0.9916442,0.001442431,0.00007080724,0.0001880071,0.000006013039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914265,0.00004962654,0.005755525,0.00006504152,0.00003154533,0.0000323466,0.0004794462,0.0004231185,0.001736909],"genre_scores_gemma":[0.9944337,0.00002623,0.00478689,0.00001427593,0.000005504312,0.0000123591,0.0003876361,0.00001773863,0.0003157417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546371,"threshold_uncertainty_score":0.3074741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322410831303894,"score_gpt":0.2552841159627227,"score_spread":0.2320600076496837,"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."}}