{"id":"W4225899852","doi":"10.5194/gmd-15-413-2022","title":"WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America","year":2022,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Oak Ridge National Laboratory; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Memorial University of Newfoundland; National Oceanic and Atmospheric Administration; Government of Canada; Canada Foundation for Innovation; St. Francis Xavier University; Compute Canada; University of East Anglia; National Center for Atmospheric Research; Alexander von Humboldt-Stiftung","keywords":"Weather Research and Forecasting Model; Latent heat; Sensible heat; Environmental science; Precipitation; Atmospheric sciences; Climatology; Shortwave radiation; Flux (metallurgy); Latitude; Convection; Climate model; Shortwave; Heat flux; Meteorology; Heat transfer; Climate change; Geology; Geography; Radiative transfer; Radiation; Materials science; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002344837,0.001025152,0.0009627058,0.0004781507,0.0006269971,0.001139438,0.001579007,0.001043138,0.003443256],"category_scores_gemma":[0.004905196,0.0008028765,0.001236858,0.0009973053,0.0002782118,0.001064482,0.0005249027,0.0008472299,0.0009762294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215099,"about_ca_system_score_gemma":0.001479133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1986046,"about_ca_topic_score_gemma":0.09346913,"domain_scores_codex":[0.9993595,0.0002072256,0.00004247714,0.0001597572,0.000125757,0.000105088],"domain_scores_gemma":[0.9983572,0.0006194333,0.0001249074,0.0003516579,0.0004538792,0.00009272817],"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":[0.0001781692,0.0001441217,0.04181843,0.0001105376,0.0004002965,0.0001591726,0.0001083255,0.9214666,0.003142828,0.0008123526,0.01527215,0.01638712],"study_design_scores_gemma":[0.0001851416,0.00005794622,0.03303577,0.00003570113,0.00006429286,0.00004178393,0.00008643189,0.9563509,0.002566674,0.0007475211,0.006759898,0.0000679423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919177,0.0004544743,0.01679865,0.00102224,0.0003246809,0.0002113569,0.03408909,0.01246581,0.01545673],"genre_scores_gemma":[0.9587877,0.0001738509,0.01762814,0.0002266256,0.00003689147,0.0003084146,0.01898432,0.001573735,0.002280366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1986046,"threshold_uncertainty_score":0.3948972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044949543428957,"score_gpt":0.2132329268228159,"score_spread":0.1927834313885264,"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."}}