The SPARC water vapour assessment II: Comparison of annual, semi-annual and quasi-biennial variations in stratospheric and lower mesospheric water vapour observed from satellites
Notice bibliographique
Résumé
Here we provide a NetCDF data set that contains the amplitudes and phases for the annual, semi-annual and quasi-biennial variations in stratospheric and lower mesospheric water vapour as observed by 30 satellite data sets. In addition, we combine the results from all data sets to provide average amplitudes and the corresponding standard deviations, among other. The content description of the NetCDF file looks as follows: netcdf results.amt-10-1111-2017 { dimensions: dataset = 30 ; string_length = 60 ; latitude = 37 ; bands = 2 ; altitude = 59 ; variables: char dataset_short(string_length, dataset) ; dataset_short:standard_name = "data set" ; dataset_short:long_name = "data set name" ; dataset_short:description = "short label of data set" ; char dataset_long(string_length, dataset) ; dataset_long:standard_name = "data set" ; dataset_long:long_name = "data set name" ; dataset_long:description = "long label of data set" ; double latitude(latitude) ; latitude:standard_name = "latitude" ; latitude:units = "degree_north" ; latitude:minimum_value = "-90" ; latitude:maximum_value = "90" ; latitude:axis = "Y" ; latitude:_CoordinateAxisType = "Lat" ; double latitude_bands(bands, latitude) ; latitude_bands:units = "degree_north" ; double altitude(altitude) ; altitude:standard_name = "altitude" ; altitude:long_name = "pressure levels" ; altitude:units = "hPa" ; altitude:axis = "Z" ; altitude:_CoordinateAxisType = "Alt" ; double tropopause(latitude) ; tropopause:standard_name = "tropopause" ; tropopause:long_name = "tropopause pressure" ; tropopause:description = "climatological tropopause pressure based on MERRA reanalysis data 2000 - 2014" ; tropopause:units = "hPa" ; // global attributes: :summary = "this file contains the results published in Lossow et al. (2017)" ; :url = "https://www.atmos-meas-tech.net/10/1111/2017/amt-10-1111-2017.html" ; :project = "second SPARC water vapour assessment (WAVAS-II)" ; :creator_name = "Stefan Lossow & Farahnaz Khosrawi" ; :creator_email = "stefan.lossow@kit.edu & farahnaz.khosrawi@kit.edu" ; :creator_email_supplemental = "stefan.lossow@yahoo.se & f.khosrawi@gmail.com" ; :value_for_nodata = "NaN" ; :date_created = "20190105T112425Z" ; group: AO { dimensions: latitude = 37 ; altitude = 59 ; dataset = 30 ; variables: double amplitude(dataset, altitude, latitude) ; amplitude:standard_name = "amplitude" ; amplitude:long_name = "amplitude of the AO variation" ; amplitude:description = "regression model is given by Eq. (1) in the manuscript; amplitude calculation based on Eq. (2)" ; amplitude:units = "ppmv" ; double phase(dataset, altitude, latitude) ; phase:standard_name = "phase" ; phase:long_name = "phase of the AO variation" ; phase:description = "regression model is given by Eq. (1) in the manuscript; phase calculation based on Eq. (3)" ; phase:units = "month" ; double offset(dataset, altitude, latitude) ; offset:standard_name = "offset" ; offset:long_name = "offset component of the regression model" ; offset:description = "regression model is given by Eq. (1) in the manuscript; meant for calculation of relative amplitudes" ; offset:units = "ppmv" ; double screening(dataset, altitude, latitude) ; screening:standard_name = "screening" ; screening:long_name = "screening for the amplitude and phase data" ; screening:description = "screening matrix for the amplitude and phase data to calculate the standard deviations described in Sect. 3.3; 1 means screening; 0 means no screening" ; screening:units = "" ; double phase_difference(dataset, altitude, latitude) ; phase_difference:standard_name = "phase difference" ; phase_difference:long_name = "phase difference with respect to the reference data set" ; phase_difference:reference_data_set_short = "MLS" ; phase_difference:reference_data_set_long = "Aura/MLS v4.2" ; phase_difference:description = "phase difference has been adapted so that it not exceeds the [-6,6] months interval by adding +/- 12 months; has been calculated after the screening" ; phase_difference:units = "month" ; double amplitude_standard_deviation(altitude, latitude) ; amplitude_standard_deviation:standard_name = "standard deviation of amplitude" ; amplitude_standard_deviation:long_name = "standard deviation of amplitude over all data sets" ; amplitude_standard_deviation:description = "standard deviation calculation based on Eq. (6)" ; amplitude_standard_deviation:units = "ppmv" ; double amplitude_mean(altitude, latitude) ; amplitude_mean:standard_name = "mean amplitude" ; amplitude_mean:long_name = "mean amplitude over all data sets" ; amplitude_mean:description = "mean calculation based on Eq. (6)" ; amplitude_mean:units = "ppmv" ; double amplitude_relative_standard_deviation(altitude, latitude) ; amplitude_relative_standard_deviation:standard_name = "relative standard deviation of amplitude" ; amplitude_relative_standard_deviation:long_name = "relatuve standard deviation of amplitude " ; amplitude_relative_standard_deviation:description = "relavtive standard deviation calculation based on Eq. (6); uses \"amplitude_mean\" as reference" ; amplitude_relative_standard_deviation:units = "ppmv" ; double phase_difference_standard_deviation(altitude, latitude) ; phase_difference_standard_deviation:standard_name = "standard deviation of phase difference" ; phase_difference_standard_deviation:long_name = "standard deviation of phase difference over all data sets" ; phase_difference_standard_deviation:description = "standard deviation calculation based on Eq. (7)" ; phase_difference_standard_deviation:units = "month" ; double phase_difference_mean(altitude, latitude) ; phase_difference_mean:standard_name = "mean of phase difference" ; phase_difference_mean:long_name = "mean of phase difference over all data sets" ; phase_difference_mean:description = "mean calculation based on Eq. (7)" ; phase_difference_mean:units = "month" ; } // group AO group: SAO { dimensions: latitude = 37 ; altitude = 59 ; dataset = 30 ; variables: double amplitude(dataset, altitude, latitude) ; amplitude:standard_name = "amplitude" ; amplitude:long_name = "amplitude of the SAO variation" ; amplitude:description = "regression model is given by Eq. (4) in the manuscript; amplitude calculation based on Eq. (2)" ; amplitude:units = "ppmv" ; double phase(dataset, altitude, latitude) ; phase:standard_name = "phase" ; phase:long_name = "phase of the SAO variation" ; phase:description = "regression model is given by Eq. (4) in the manuscript; phase calculation based on Eq. (3)" ; phase:units = "month" ; double offset(dataset, altitude, latitude) ; offset:standard_name = "offset" ; offset:long_name = "offset component of the regression model" ; offset:description = "regression model is given by Eq. (4) in the manuscript; meant for calculation of relative amplitudes" ; offset:units = "ppmv" ; double screening(dataset, altitude, latitude) ; screening:standard_name = "screening" ; screening:long_name = "screening for the amplitude and phase data" ; screening:description = "screening matrix for the amplitude and phase data to calculate the standard deviations described in Sect. 3.3; 1 means screening; 0 means no screening" ; screening:units = "" ; double phase_difference(dataset, altitude, latitude) ; phase_difference:standard_name = "phase difference" ; phase_difference:long_name = "phase difference with respect to the reference data set" ; phase_difference:reference_data_set_short = "MLS" ; phase_difference:reference_data_set_long = "Aura/MLS v4.2" ; phase_difference:description = "phase difference has been adapted so that it not exceeds the [-3,3] months interval by adding +/- 6 months; has been calculated after the screening" ; phase_difference:units = "month" ; double amplitude_standard_deviation(altitude, latitude) ; amplitude_standard_deviation:standard_name = "standard deviation of amplitude" ; amplitude_standard_deviation:long_name = "standard deviation of amplitude over all data sets" ; amplitude_standard_deviation:description = "standard deviation calculation based on Eq. (6)" ; amplitude_standard_deviation:units = "ppmv" ; double amplitude_mean(altitude, latitude) ; amplitude_mean:standard_name = "mean amplitude" ; amplitude_mean:long_name = "mean amplitude over all data sets" ; amplitude_mean:description = "mean cal
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,004 | 0,006 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,006 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».