{"id":"W4414746871","doi":"10.5194/hess-29-4929-2025","title":"Diurnal variability of global precipitation: insights from hourly satellite and reanalysis datasets","year":2025,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Česká Zemědělská Univerzita v Praze","keywords":"Precipitation; Satellite; Diurnal cycle; Diurnal temperature variation; Scale (ratio); Quantitative precipitation estimation; Morphing","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":[0.0007384827,0.0001973626,0.0001466322,0.0008799323,0.00009300544,0.0003929199,0.000174066,0.000175429,0.0003904227],"category_scores_gemma":[0.001507498,0.00009062618,0.0002744769,0.001502441,0.0001167284,0.0003622599,0.0002162616,0.0001902095,0.0001560734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001626165,"about_ca_system_score_gemma":0.0001884613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007029591,"about_ca_topic_score_gemma":0.01156662,"domain_scores_codex":[0.9998125,0.0000604112,0.00002013736,0.00003947242,0.00005101076,0.00001646978],"domain_scores_gemma":[0.9993001,0.0001969076,0.0001799385,0.000116504,0.0001751942,0.00003137921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001286298,0.00006441044,0.8608087,0.0002974059,0.0004320984,0.0003008543,0.0004251778,0.03109193,0.005365586,0.0008625359,0.01152111,0.08870149],"study_design_scores_gemma":[0.000007238302,0.00002253543,0.9688457,0.0000334428,0.00003859134,0.00009006353,0.0001538755,0.02382036,0.0007628679,0.0004735297,0.005734114,0.00001771818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701675,0.002161087,0.005265747,0.0005867623,0.00008311444,0.0000296309,0.01754558,0.0002658724,0.003894593],"genre_scores_gemma":[0.987959,0.000599067,0.002112921,0.00005568834,0.00004034137,0.00001353615,0.008977333,0.00003390937,0.0002080726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007029591,"threshold_uncertainty_score":0.01397735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333260226548624,"score_gpt":0.2313675536387933,"score_spread":0.2180349513733071,"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."}}