{"id":"W3194204037","doi":"10.5194/gmd-2021-243","title":"WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America","year":2021,"lang":"en","type":"article","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; Oak Ridge National Laboratory; National Oceanic and Atmospheric Administration; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Compute Canada; Canada Foundation for Innovation; National Center for Atmospheric Research; University of East Anglia; Canada Research Chairs; St. Francis Xavier University","keywords":"Weather Research and Forecasting Model; Latent heat; Sensible heat; Precipitation; Environmental science; Climatology; Atmospheric sciences; Shortwave radiation; Latitude; Flux (metallurgy); Convection; Climate model; Shortwave; Horizontal resolution; Meteorology; Climate change; Geology; Geography; Radiative transfer; Radiation; Physics; Materials science","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":[0.002277937,0.001024586,0.0009426151,0.0004807612,0.0006206001,0.001166416,0.001530185,0.001040608,0.003537341],"category_scores_gemma":[0.004834477,0.0007806442,0.00125002,0.001001233,0.0002751162,0.001033202,0.0005113602,0.0008409519,0.0009507599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203019,"about_ca_system_score_gemma":0.001441482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2002875,"about_ca_topic_score_gemma":0.09484084,"domain_scores_codex":[0.9993765,0.0002009635,0.00004095874,0.0001565513,0.0001223915,0.0001026643],"domain_scores_gemma":[0.9983888,0.0006174335,0.0001221512,0.0003354962,0.0004456128,0.00009061625],"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":[0.0001699889,0.0001439269,0.04360405,0.0001123562,0.000405811,0.0001643141,0.000106337,0.9200981,0.002992742,0.0008407934,0.01538101,0.01598057],"study_design_scores_gemma":[0.0001772349,0.00005914546,0.03298756,0.00003654843,0.00006567172,0.00004310308,0.00009169307,0.9565319,0.002364404,0.0007607559,0.006815906,0.00006604114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189292,0.000463685,0.01594217,0.001047866,0.0003333269,0.0002101178,0.03550953,0.01194555,0.01561849],"genre_scores_gemma":[0.9602958,0.0001747839,0.01617497,0.0002216602,0.00003557495,0.0002941681,0.01905697,0.001488882,0.002257076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2002875,"threshold_uncertainty_score":0.3982433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799764544497176,"score_gpt":0.2269234675386695,"score_spread":0.2089258220936977,"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."}}