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Enregistrement W6912335475 · doi:10.5281/zenodo.15400054

Presentation of the Best Practice Protocol for the Validation of Aerosol, Cloud, and Precipitation Profiles (ACPPV) to the 2nd ESA-JAXA EarthCARE In-Orbit validation workshop

2025· article· en· W6912335475 sur OpenAlexaboutno aff

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueAtmospheric aerosols and clouds
Établissements canadiensnon disponible
Organismes subventionnairesEuropean Commission
Mots-clésSpace researchAgency (philosophy)ObservatoryPresentation (obstetrics)Space ScienceAerospaceAtmospheric researchSpace weatherSpace (punctuation)

Résumé

récupéré en direct d'OpenAlex

Amiridis, V.1, Marinou, E.1, Hostetler, C.2, Koopman, R.3, Cecil, D., J.4, Moisseev, D.5, Tackett, J.2, Gross, S.6, Baars, H.7, Redemann, J.8, Marenco, F.9, Baldini, L.10, Tanelli, S.11, Fielding, M.12, Janisková, M.12, Tanaka, T.13, O’Connor, E.14, Fjæraa, A., M.15, and the ACPPV consortium 16 1Institute of Astronomy, Astrophysics, Space Applications & Remote Sensing (IAASARS), National Observatory of Athens (NOA), 15236 Athens, Greece 2NASA Langley Research Center, Hampton, United States 3European Space Research and Technology, European Space Agency (ESA/ESTEC), Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands 4NASA Marshall Space Flight Center, Earth Science Branch, 320 Sparkman Dr NW, AL 35805, Huntsville, United States 5Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland 6Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Weßling 82234, Germany 7Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany 8School of Meteorology, University of Oklahoma, Norman, Oklahoma, United States 9The Cyprus Institute, 20 Konstantinou Kavafi Street, 2121 Nicosia, Cyprus 10National Research Council, Insitute of Atmospheric Science and Climate (CNR-ISAC), Via Fosso del Cavaliere, 100, 00133, Roma, Italy 11Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, United States 12European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, United Kingdom 13Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA), Tsukuba, Ibaraki 305-8505, Japan 14Finnish Meteorological Institute, Climate Research Programme, Erik Palménin aukio 1, FI-00560, Helsinki, Finland 15Climate and Research Institute NILU, P.O. Box 100, 2027 Kjeller, Norway 16 57 institutes, universities, and space agencies Aerosols, clouds, precipitation, and the processes governing their interactions are the grand challenges for current climate science, of the highest priority for the climate science-policy interface, and of great relevance for both Working Groups I and III of the upcoming 7th IPCC cycle. Satellite missions such as CALIPSO and CloudSat have demonstrated the value of aerosol and cloud profiling techniques in understanding the processes governing aerosol-cloud-radiation interactions. The EarthCARE mission will ensure the continuity of these efforts and further advance space-borne lidar and cloud radar profiling synergies. Following EarthCARE, the Atmosphere Observing System (AOS) of NASA will further shed light on the unknown links between aerosols, clouds, atmospheric convection, and precipitation. The geophysical validation of spaceborne high-resolution profilers for aerosols, clouds, and precipitation presents unique challenges. The need for a common practice, capturing lessons learned from earlier missions was identified, and its implementation is tracked under the CEOS Working Group Calibration and Validation action item CV-22-01. As a response, an international consortium of 86 scientists converged on the Best Practice Protocol for the Validation of Aerosol, Cloud, and Precipitation Profiles (ACPPV). The ACPPV convergence process aimed at the optimization of Calibration and Validation techniques (Cal/Val) in terms of instrumentation, sampling strategies and scenarios, and intercomparison methodologies. To this end, the scientific communities involved in past missions have reviewed lessons learned and identified areas where convergence on similar approaches is beneficial. The approaches and recommendations cover correlative site and instrument selection, data processing and quality control, campaign criteria, configurations, scenarios, collocation methods, suggestions on issues concerning scene representativeness, and intercomparison methodologies, including handling of wavelength differences. In addition, for increased statistical relevance of the intercomparison with ground sites, guidance and recommendations for inter-calibration between networks are included, to achieve a “network of networks” to compensate for the profilers' sparse overpasses per site, and avoid biases. Moreover, guidance on the statistical validation through intercomparison between satellite-based remote sensing observations, and on the near-real time validation through monitoring in an NWP data assimilation system are included. Finally, existing gaps in our Cal/Val knowledge are summarized. Given the complexity and diversity of geophysical scenarios and retrievals of aerosol, cloud, and precipitation regimes, the ACPPV document is aimed at knowledge exchange and conveying lessons learned, rather than definitions on single and strict protocols that have been agreed upon in some other domains with fewer degrees of freedom. Here the protocol will be presented and discussed. The ACPPV consortium: Lead Authors: Amiridis, V.1, Marinou, E.1, Hostetler, C.2, Koopman, R.3, Cecil, D., J.4, Moisseev, D.5, Tackett, J.2, Gross, S.6, Baars, H.7, Redemann, J.8, Marenco, F.9, Baldini, L.10, Tanelli, S.11, Fielding, M.12, Janisková, M.12, Tanaka, T.13, O’Connor, E.14, Fjæraa, A., M.15. Contributing Authors: Paschou, P.1,16, Voudouri, K., A.1,16, Ferrare, R.2, Burton, S.2, Schuster, G.2, Kato, S.2, Winker, D.2, Shook, M.2, Bley, S.7, Haarig, M.7, Floutsi, A. A.7, Wandinger, U.7, Trapon, D.7, Pfitzenmaier, L.17, Papagianopoulos, N.18, Mona, L.18, Posselt, D.11, Mason, S.12, Rennie, M.12, Benedetti, A.12, Hogan, R.12,19, Sogacheva, L.14, Balis, D.16, Michailidis, K.16, van Zadelhoff, G., J.20, Nowottnick, E.21, Yorks, J.21, Mroz, K.22, Donovan, D.20, L’Ecuyer, T.23, Okamoto, H.24, Sato, K.24, Henderson, D., S.25, Nishizawa, T.26, Barker, H.27, Cole, J.27, Qu, Z.27, Clerbaux, N.28, Nakajima, T.Y.29, Chase, R.30, Wolff, D.31, Landulfo, E.32, Kirstetter, P., E.33, Mather, J.34, Ohigashi, T.35, Ryder, C.19, Tzallas, V.36, Tsikoudi, I.1,37, Tsekeri, A.1, Tsichla, M.1,38, Koutsoupi, I.1,37, Kubota, T.13, Siomos, N.39, Takahashi, N.40, Horie, H.41, Suzuki, K.42, Mace, J.43, Prakash, G.44, McLean, W.45, Borderies, M.46, Mangla, R.47, Escribano, J.48, Moradi, I.49,50, Zhang, J.51, Rubin, J.52, Ikuta, Y.53, Marbach, T.54, Bojkov, B.54, Accadia, C.54, Fougnie, B.54, Spezzi, L.54, Bozzo, A.54, Chimot, J.54., Jafariserajehlou, J.54, Flament, T.54, Mattioli, V.54, Strandgren, J.54, Barlakas, V.55, and Kollias, P.56,57. Affiliations: 1Institute of Astronomy, Astrophysics, Space Applications & Remote Sensing (IAASARS), National Observatory of Athens (NOA), 15236 Athens, Greece 2NASA Langley Research Center, Hampton, United States 3European Space Research and Technology, European Space Agency (ESA/ESTEC), Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands 4NASA Marshall Space Flight Center, Earth Science Branch, 320 Sparkman Dr NW, AL 35805, Huntsville, United States 5Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Finland 6Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Weßling 82234, Germany 7Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany 8School of Meteorology, University of Oklahoma, Norman, OK, United States 9The Cyprus Institute, 20 Konstantinou Kavafi Street, 2121 Nicosia, Cyprus 10National Research Council, Insitute of Atmospheric Science and Climate (CNR-ISAC), Via Fosso del Cavaliere, 100, 00133, Roma, Italy 11Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States 12European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, United Kingdom 13Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA), Tsukuba, Ibaraki 305-8505, Japan 14Finnish Meteorological Institute, Climate Research Programme, Erik Palménin aukio 1, FI-00560, Helsinki, Finland 15Climate and Research Institute NILU, P.O. Box 100, 2027 Kjeller, Norway 16Laboratory of Atmospheric Physics, Physics Department, Aristotle University of Thessaloniki, University campus, 54124 Thessaloniki, Greece 17University of Cologne, Institute of Geophysiks and Meteorology, Pohligstraße 3, 50969 Cologne, Germany 18Istituto di Metodologie per l’Analisi Ambientale (IMAA), Consiglio Nazionale delle Ricerche (CNR), C.da S. Loja, 85050 Tito (PZ), Italy 19Department of Meteorology, University of Reading, Reading, United Kingdom 20Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands 21NASA Goddard Space Flight Center, Mail Code 612, MD 20771 Greenbelt, United States 22National Centre for Earth Observation, University of Leicester, Leicester, United Kingdom 23Department of Atmospheric and Oceanic Sciences, Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, United States 24Research Institute for Applied Mechanics, Kyushu University, Fukuoka, 816-8580, Japan 25Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, United States 26Earth System Division, National Institute for Environmental Studies, Tsukuba, 305-8506, Japan 27Environment and Climate Change Canada, Toronto, ON, Canada 28Royal Meteorological Institute of Belgium, Brussels 29Tokai University, Research and Information Center (TRIC), 4-1-1 Kitakaname Hiratsuka, Kanagawa 259-1292, Japan 30Cooperative Institute for Research in Atmosphere (CIRA), Colorado State University, Fort Collins, Colorado, United States 31Mesoscale Atmospheric Processes Lab, NASA Wallops Flight Facility, 34200 Fulton Street, N159/E220, VA 23337 Wallops Island, United States 32Instituto de Pesquisas Energéticas e Nucleares, Cidade Universitária, São Paulo, Brazil 33Hydrometeorology and Remote Sensing Laboratory, University of Oklahoma, Norman, Oklahoma, United States 34Pacific Northwest National Laboratory, Richland, Washington 35National Research Institute for Earth Science and

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,143
score de la tête « metaresearch » (Gemma)0,216
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Protocole · Signal consensuel: aucune
Score de désaccord entre enseignants0,143
Score d'incertitude au seuil0,755

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1430,216
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0070,004
Études des sciences et des technologies0,0040,002
Communication savante0,0120,006
Science ouverte0,0070,014
Intégrité de la recherche0,0070,008
Charge utile insuffisante (le modèle a refusé de juger)0,1000,100

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.

Tête enseignante Opus0,029
Tête enseignante GPT0,300
Écart entre enseignants0,271 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreProtocole

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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