{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T19:12:06Z","timestamp":1778353926606,"version":"3.51.4"},"reference-count":46,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Astronomy and Computing"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1016\/j.ascom.2023.100710","type":"journal-article","created":{"date-parts":[[2023,4,8]],"date-time":"2023-04-08T21:10:54Z","timestamp":1680988254000},"page":"100710","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":9,"special_numbering":"C","title":["Machine learning-based seeing estimation and prediction using multi-layer meteorological data at Dome A, Antarctica"],"prefix":"10.1016","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2671-1738","authenticated-orcid":false,"given":"X.","family":"Hou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Y.","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3211-3240","authenticated-orcid":false,"given":"F.","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.C.B.","family":"Ashley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C.","family":"Pei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Z.","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B.","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E.","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K.","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.ascom.2023.100710_b1","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1051\/0004-6361:20041876","article-title":"An analysis of temperatures and wind speeds above Dome C, Antarctica","volume":"430","author":"Aristidi","year":"2005","journal-title":"AAP"},{"key":"10.1016\/j.ascom.2023.100710_b2","series-title":"Ground-Based and Airborne Instrumentation for Astronomy III","first-page":"1530","article-title":"Future development of the PLATO Observatory for Antarctic science","volume":"vol. 7735","author":"Ashley","year":"2010"},{"issue":"895","key":"10.1016\/j.ascom.2023.100710_b3","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.1086\/656250","article-title":"Thickness of the atmospheric boundary layer above Dome A, Antarctica, during 2009","volume":"122","author":"Bonner","year":"2010","journal-title":"Publ. Astron. Soc. Pac."},{"issue":"1","key":"10.1016\/j.ascom.2023.100710_b4","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1093\/mnras\/stu2063","article-title":"Stellar atmospheric parameter estimation using Gaussian process regression","volume":"447","author":"Bu","year":"2015","journal-title":"Mon. Not. R. Astron. Soc."},{"issue":"2","key":"10.1016\/j.ascom.2023.100710_b5","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1175\/JAMC-D-11-0263.1","article-title":"Another look at the refractive index structure function","volume":"52","author":"Cherubini","year":"2013","journal-title":"J. Appl. Meteorol. Climatol."},{"issue":"12","key":"10.1016\/j.ascom.2023.100710_b6","doi-asserted-by":"crossref","first-page":"3033","DOI":"10.1175\/2008JAMC1839.1","article-title":"Modeling optical turbulence and seeing over Mauna Kea: Verification and algorithm refinement","volume":"47","author":"Cherubini","year":"2008","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"10.1016\/j.ascom.2023.100710_b7","series-title":"Seeing Clearly: The Impact of Atmospheric Turbulence on the Propagation of Extraterrestrial Radiation","first-page":"165","article-title":"An operational perspective for modeling optical turbulence","author":"Cherubini","year":"2011"},{"issue":"4","key":"10.1016\/j.ascom.2023.100710_b8","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1175\/2007JAMC1487.1","article-title":"Modeling optical turbulence and seeing over Mauna Kea","volume":"47","author":"Cherubini","year":"2008","journal-title":"J. Appl. Meteorol. Climatol."},{"issue":"1","key":"10.1016\/j.ascom.2023.100710_b9","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1093\/mnras\/stab2916","article-title":"Forecasting seeing for the Maunakea observatories with machine learning","volume":"509","author":"Cherubini","year":"2022","journal-title":"Mon. Not. R. Astron. Soc."},{"issue":"1","key":"10.1016\/j.ascom.2023.100710_b10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0022-1694(92)90046-X","article-title":"Rainfall forecasting in space and time using a neural network","volume":"137","author":"French","year":"1992","journal-title":"J. Hydrol."},{"key":"10.1016\/j.ascom.2023.100710_b11","series-title":"IEEE 8th International Symposium on Intelligent Systems and Informatics","first-page":"465","article-title":"Training back propagation neural networks with genetic algorithm for weather forecasting","author":"Gill","year":"2010"},{"issue":"4","key":"10.1016\/j.ascom.2023.100710_b12","doi-asserted-by":"crossref","first-page":"3102","DOI":"10.1093\/mnras\/stt117","article-title":"Atmospheric and seeing forecast: WRF model validation with in situ measurements at ORM","volume":"430","author":"Giordano","year":"2013","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"10.1016\/j.ascom.2023.100710_b13","series-title":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"379","article-title":"A deep hybrid model for weather forecasting","author":"Grover","year":"2015"},{"issue":"4","key":"10.1016\/j.ascom.2023.100710_b14","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2560\/12\/4\/046005","article-title":"User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control","volume":"12","author":"He","year":"2015","journal-title":"J. Neural Eng."},{"issue":"8","key":"10.1016\/j.ascom.2023.100710_b15","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"issue":"995","key":"10.1016\/j.ascom.2023.100710_b16","doi-asserted-by":"crossref","DOI":"10.1088\/1538-3873\/aae916","article-title":"Meteorological data from KLAWS-2G for an astronomical site survey of Dome A, Antarctica","volume":"131","author":"Hu","year":"2019","journal-title":"Publ. Astron. Soc. Pac."},{"issue":"943","key":"10.1016\/j.ascom.2023.100710_b17","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1086\/678327","article-title":"Meteorological data for the astronomical site at Dome A, Antarctica","volume":"126","author":"Hu","year":"2014","journal-title":"Publ. Astron. Soc. Pac."},{"key":"10.1016\/j.ascom.2023.100710_b18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2019.12.030","article-title":"Transductive LSTM for time-series prediction: An application to weather forecasting","volume":"125","author":"Karevan","year":"2020","journal-title":"Neural Netw."},{"issue":"4","key":"10.1016\/j.ascom.2023.100710_b19","doi-asserted-by":"crossref","first-page":"3147","DOI":"10.1093\/mnras\/stt1803","article-title":"MOSE: operational forecast of the optical turbulence and atmospheric parameters at European Southern Observatory ground-based sites - II. Atmospheric parameters in the surface layer 0\u201330 m","volume":"436","author":"Lascaux","year":"2013","journal-title":"Mon. Not. R. Astron. Soc."},{"issue":"7006","key":"10.1016\/j.ascom.2023.100710_b20","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1038\/nature02929","article-title":"Exceptional astronomical seeing conditions above Dome C in Antarctica","volume":"431","author":"Lawrence","year":"2004","journal-title":"Nature"},{"issue":"4","key":"10.1016\/j.ascom.2023.100710_b21","doi-asserted-by":"crossref","first-page":"4734","DOI":"10.1093\/mnras\/staa1787","article-title":"Forecasting seeing for the Maunakea Observatories","volume":"496","author":"Lyman","year":"2020","journal-title":"Mon. Not. R. Astron. Soc."},{"issue":"3","key":"10.1016\/j.ascom.2023.100710_b22","doi-asserted-by":"crossref","first-page":"2768","DOI":"10.1093\/mnras\/staa1730","article-title":"Automation of the AST3 optical sky survey from Dome A, Antarctica","volume":"496","author":"Ma","year":"2020","journal-title":"Mon. Not. R. Astron. Soc."},{"issue":"7818","key":"10.1016\/j.ascom.2023.100710_b23","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1038\/s41586-020-2489-0","article-title":"Night-time measurements of astronomical seeing at Dome A in Antarctica","volume":"583","author":"Ma","year":"2020","journal-title":"Nature"},{"key":"10.1016\/j.ascom.2023.100710_b24","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1051\/0004-6361:20020132","article-title":"Astronomical seeing from the summits of the Antarctic plateau","volume":"385","author":"Marks","year":"2002","journal-title":"AAP"},{"issue":"3","key":"10.1016\/j.ascom.2023.100710_b25","doi-asserted-by":"crossref","first-page":"1968","DOI":"10.1093\/mnras\/stt1708","article-title":"MOSE: operational forecast of the optical turbulence and atmospheric parameters at European Southern Observatory ground-based sites - I. Overview and vertical stratification of atmospheric parameters at 0\u201320 km","volume":"436","author":"Masciadri","year":"2013","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"10.1016\/j.ascom.2023.100710_b26","first-page":"203","article-title":"3D mapping of optical turbulence using an atmospheric numerical model. II. First results at Cerro Paranal","volume":"137","author":"Masciadri","year":"1999","journal-title":"AAPS"},{"key":"10.1016\/j.ascom.2023.100710_b27","series-title":"Adaptive Optics Systems VII","first-page":"332","article-title":"Turbulence nowcast for the Cerro Paranal and Cerro Armazones observatory sites","volume":"vol. 11448","author":"Milli","year":"2020"},{"key":"10.1016\/j.ascom.2023.100710_b28","doi-asserted-by":"crossref","first-page":"L5","DOI":"10.1051\/0004-6361\/201321937","article-title":"Excellent daytime seeing at Dome Fuji on the Antarctic plateau","volume":"554","author":"Okita","year":"2013","journal-title":"AAP"},{"key":"10.1016\/j.ascom.2023.100710_b29","series-title":"Numerical Recipes 3rd Edition: The Art of Scientific Computing","author":"Press","year":"2007"},{"issue":"1","key":"10.1016\/j.ascom.2023.100710_b30","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1093\/mnras\/stab1316","article-title":"Modelling of atmospheric optical turbulence with the weather research and forecasting model at the Ali observatory, Tibet","volume":"505","author":"Qian","year":"2021","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"10.1016\/j.ascom.2023.100710_b31","series-title":"Gaussian Processes for Machine Learning","author":"Rasmussen","year":"2006"},{"issue":"11","key":"10.1016\/j.ascom.2023.100710_b32","article-title":"WeatherBench: A benchmark data set for data-driven weather forecasting","volume":"12","author":"Rasp","year":"2020","journal-title":"J. Adv. Modelling Earth Syst."},{"issue":"6088","key":"10.1016\/j.ascom.2023.100710_b33","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"Rumelhart","year":"1986","journal-title":"Nature"},{"key":"10.1016\/j.ascom.2023.100710_b34","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.procs.2018.08.153","article-title":"Single layer & multi-layer Long Short-Term Memory (LSTM) model with intermediate variables for weather forecasting","volume":"135","author":"Salman","year":"2018","journal-title":"Procedia Comput. Sci."},{"issue":"1","key":"10.1016\/j.ascom.2023.100710_b35","first-page":"294","article-title":"The ESO differential image motion monitor","volume":"227","author":"Sarazin","year":"1990","journal-title":"AAP"},{"issue":"10","key":"10.1016\/j.ascom.2023.100710_b36","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1088\/1674-4527\/20\/10\/168","article-title":"Astronomy from Dome A in Antarctica","volume":"20","author":"Shang","year":"2020","journal-title":"Res. Astron. Astrophys."},{"issue":"4","key":"10.1016\/j.ascom.2023.100710_b37","doi-asserted-by":"crossref","first-page":"5872","DOI":"10.1093\/mnras\/stab2594","article-title":"Gaussian process regression for foreground removal in H I intensity mapping experiments","volume":"510","author":"Soares","year":"2022","journal-title":"Mon. Not. R. Astron. Soc."},{"issue":"846","key":"10.1016\/j.ascom.2023.100710_b38","doi-asserted-by":"crossref","first-page":"1190","DOI":"10.1086\/507153","article-title":"Antarctic boundary layer seeing","volume":"118","author":"Swain","year":"2006","journal-title":"Publ. Astron. Soc. Pac."},{"issue":"3","key":"10.1016\/j.ascom.2023.100710_b39","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1109\/TPWRS.2002.800906","article-title":"Neural network load forecasting with weather ensemble predictions","volume":"17","author":"Taylor","year":"2002","journal-title":"IEEE Trans. Power Syst."},{"key":"10.1016\/j.ascom.2023.100710_b40","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s10652-007-9031-x","article-title":"A statistical model to forecast the profile of the index structure constant C_N2\u0302","volume":"7","author":"Trinquet","year":"2007","journal-title":"Environ. Fluid Mech."},{"issue":"2","key":"10.1016\/j.ascom.2023.100710_b41","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.1093\/mnras\/stw2863","article-title":"Forecasting surface-layer atmospheric parameters at the Large Binocular Telescope site","volume":"466","author":"Turchi","year":"2017","journal-title":"Mon. Not. R. Astron. Soc."},{"issue":"4","key":"10.1016\/j.ascom.2023.100710_b42","doi-asserted-by":"crossref","first-page":"1526","DOI":"10.1109\/JBHI.2018.2864335","article-title":"Multiday evaluation of techniques for EMG-based classification of hand motions","volume":"23","author":"Waris","year":"2019","journal-title":"IEEE J. Biomed. Health Inf."},{"issue":"8","key":"10.1016\/j.ascom.2023.100710_b43","doi-asserted-by":"crossref","first-page":"304","DOI":"10.3390\/atmos9080304","article-title":"Using the Weather Research and Forecasting (WRF) model for precipitation forecasting in an Andean region with complex topography","volume":"9","author":"Y\u00e1\u00f1ez-Morroni","year":"2018","journal-title":"Atmosphere"},{"issue":"876","key":"10.1016\/j.ascom.2023.100710_b44","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1086\/597547","article-title":"The PLATO Dome A site-testing observatory: Instrumentation and first results","volume":"121","author":"Yang","year":"2009","journal-title":"Publ. Astron. Soc. Pac."},{"issue":"4","key":"10.1016\/j.ascom.2023.100710_b45","doi-asserted-by":"crossref","first-page":"2633","DOI":"10.1109\/TIE.2016.2515054","article-title":"Health index-based prognostics for remaining useful life predictions in electrical machines","volume":"63","author":"Yang","year":"2016","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"26","key":"10.1016\/j.ascom.2023.100710_b46","doi-asserted-by":"crossref","first-page":"44000","DOI":"10.1364\/OE.439819","article-title":"Estimating the astronomical seeing above Dome A using polar WRF based on the Tatarskii equation","volume":"29","author":"Yang","year":"2021","journal-title":"Opt. Express"}],"container-title":["Astronomy and Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213133723000252?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213133723000252?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T01:21:36Z","timestamp":1761960096000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213133723000252"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":46,"alternative-id":["S2213133723000252"],"URL":"https:\/\/doi.org\/10.1016\/j.ascom.2023.100710","relation":{},"ISSN":["2213-1337"],"issn-type":[{"value":"2213-1337","type":"print"}],"subject":[],"published":{"date-parts":[[2023,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine learning-based seeing estimation and prediction using multi-layer meteorological data at Dome A, Antarctica","name":"articletitle","label":"Article Title"},{"value":"Astronomy and Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ascom.2023.100710","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"100710"}}