{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T12:25:46Z","timestamp":1768739146234,"version":"3.49.0"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T00:00:00Z","timestamp":1717545600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T00:00:00Z","timestamp":1717545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R &D Program of China","doi-asserted-by":"crossref","award":["2021YFE0108400"],"award-info":[{"award-number":["2021YFE0108400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172294"],"award-info":[{"award-number":["62172294"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Vis"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1007\/s12650-024-01009-6","type":"journal-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T08:02:15Z","timestamp":1717574535000},"page":"997-1014","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["BLCM: a BP-LGBM-based atmospheric visibility forecasting model"],"prefix":"10.1007","volume":"27","author":[{"given":"Lu","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongrong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaobin","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chongke","family":"Bi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,5]]},"reference":[{"key":"1009_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosres.2022.106157","volume":"272","author":"C Castillo-Bot\u00f3n","year":"2022","unstructured":"Castillo-Bot\u00f3n C, Casillas-P\u00e9rez D, Casanova-Mateo C, Ghimire S, Cerro-Prada E, Gutierrez PA, Deo RC, Salcedo-Sanz S (2022) Machine learning regression and classification methods for fog events prediction. Atmos Res 272:106157","journal-title":"Atmos Res"},{"key":"1009_CR2","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.renene.2023.02.130","volume":"207","author":"B Christina","year":"2023","unstructured":"Christina B, Viivi K, Anders V, Mikko K, Harri N (2023) Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations. Renewable Energy 207:266\u2013274","journal-title":"Renewable Energy"},{"key":"1009_CR3","doi-asserted-by":"crossref","unstructured":"El Amouri H, Lampert T, Gan\u00e7arski P, Mallet C (2023) Constrained DTW preserving shapelets for explainable time-series clustering","DOI":"10.2139\/ssrn.4412847"},{"key":"1009_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2022.101918","volume":"73","author":"B Eshta","year":"2023","unstructured":"Eshta B, Peter AK (2023) What data analytics can or cannot do for climate change studies: an inventory of interactive visual tools. Eco Inform 73:101918","journal-title":"Eco Inform"},{"key":"1009_CR5","doi-asserted-by":"crossref","unstructured":"Hao Y, Bi C, Yang L, Qiu X, Li Y, Yu C (2023) Visual analytics of air pollutant propagation path and pollution source. In: Proceedings of the 16th international symposium on visual information communication and interaction, pp 5\u2013158","DOI":"10.1145\/3615522.3615527"},{"key":"1009_CR6","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1051\/swsc\/2021011","volume":"11","author":"DJ Knipp","year":"2021","unstructured":"Knipp DJ, Bernstein V, Wahl K, Hayakawa H (2021) Timelines as a tool for learning about space weather storms. J Space Weather Space Clim 11:29","journal-title":"J Space Weather Space Clim"},{"key":"1009_CR7","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.atmosenv.2018.07.020","volume":"190","author":"W Kyung","year":"2018","unstructured":"Kyung W (2018) The comparison of visibility measurement between image-based visual range, human eye-based visual range, and meteorological optical range. Atmos Environ 190:74\u201386","journal-title":"Atmos Environ"},{"key":"1009_CR8","doi-asserted-by":"publisher","first-page":"3715","DOI":"10.1007\/s00371-023-02961-4","volume":"39","author":"J Li","year":"2023","unstructured":"Li J, Bi C (2023) Visual analysis of air pollution spatio-temporal patterns. Vis Comput 39:3715\u20133726","journal-title":"Vis Comput"},{"key":"1009_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2022.119085","volume":"278","author":"Z Liu","year":"2022","unstructured":"Liu Z, Chen Y, Gu X, Justin K, Zhang Q (2022) Visibility classification and influencing-factors analysis of airport: a deep learning approach. Atmos Environ 278:119085","journal-title":"Atmos Environ"},{"key":"1009_CR10","unstructured":"Liu Z, Wang W, Zhao Y, Shi D (2021) The application of an enhanced fusion algorithm for visibility in assessing the sea fog level in the Bohai sea and yellow sea. Marine Forecasts"},{"key":"1009_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.104014","volume":"133","author":"Y Ma","year":"2022","unstructured":"Ma Y, Zheng Y, Said E, Yiik D, Karim E (2022) Virtual analysis of urban road visibility using mobile laser scanning data and deep learning. Autom Constr 133:104014","journal-title":"Autom Constr"},{"key":"1009_CR12","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.neucom.2019.12.129","volume":"408","author":"K Miao","year":"2020","unstructured":"Miao K, Han T, Yao Y, Lu H, Chen P, Wang B, Zhang J (2020) Application of lstm for short term fog forecasting based on meteorological elements. Neurocomputing 408:285\u2013291","journal-title":"Neurocomputing"},{"issue":"12","key":"1009_CR13","doi-asserted-by":"publisher","first-page":"1923","DOI":"10.1109\/TVCG.2014.2346755","volume":"20","author":"J Poco","year":"2014","unstructured":"Poco J, Dasgupta A, Wei Y, Hargrove W, Schwalm CR, Huntzinger DN, Cook R, Bertini E, Silva CT (2014) Visual reconciliation of alternative similarity spaces in climate modeling. IEEE Trans Visual Comput Graph 20(12):1923\u20131932","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1009_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2023.162938","volume":"877","author":"X Su","year":"2023","unstructured":"Su X, Zhi D, Song D, Tian L, Yang Y (2023) Exploring weather-related factors affecting the delay caused by traffic incidents: mitigating the negative effect of traffic incidents. Sci Total Environ 877:162938","journal-title":"Sci Total Environ"},{"key":"1009_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.apor.2021.102693","volume":"112","author":"U Tayfun","year":"2021","unstructured":"Tayfun U, \u00c7a\u011flar K, Yasin A (2021) Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul. Appl Ocean Res 112:102693","journal-title":"Appl Ocean Res"},{"issue":"1","key":"1009_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cag.2022.02.011","volume":"104","author":"DK Urribarri","year":"2022","unstructured":"Urribarri DK, Larrea ML (2022) A visualization technique to assist in the comparison of large meteorological datasets. Comput Graph 104(1):1\u201310","journal-title":"Comput Graph"},{"issue":"7","key":"1009_CR17","first-page":"863","volume":"43","author":"B Wu","year":"2017","unstructured":"Wu B, Zhang J, Li Y, Wang Y, Xu M (2017) Research on numerical interpretative forecast for low-visibility at Tianjin port in autumn and winter. Meteorol Monthly 43(7):863\u2013871","journal-title":"Meteorol Monthly"},{"issue":"48\u201359","key":"1009_CR18","volume":"40","author":"F Xia","year":"2020","unstructured":"Xia F, Li C, Liu S, W X (2020) Research and evaluation of improved SW and FSL schemes for diagnosis and numerical simulation of fog and visibility. J Marine Meteorol 40(48\u201359):101621","journal-title":"J Marine Meteorol"},{"key":"1009_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2022.133182","volume":"368","author":"Z Yang","year":"2022","unstructured":"Yang Z, Wang Y, Xu X, Yang J, Ou C (2022) Quantifying and characterizing the impacts of pm2.5 and humidity on atmospheric visibility in 182 Chinese cities: a nationwide time-series study. J Clean Prod 368:133182","journal-title":"J Clean Prod"},{"key":"1009_CR20","doi-asserted-by":"crossref","unstructured":"Yang L, Bai Y, Ren F, Bi C, Zhang R (2024) Lcfnets: compensation strategy for real-time semantic segmentation of autonomous driving. IEEE Trans Intell Vehicl, pp 1\u201315","DOI":"10.1109\/TIV.2024.3363830"},{"key":"1009_CR21","unstructured":"Yang L, Chen C, Bi C, Qiu X, Li Y (2022) A convgru-based visual analysis system for air pollution prediction. J Comput Aided Des Comput Graph"},{"key":"1009_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2020.117314","volume":"224","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Gao L, Cao L, Yan Z, Wu Y (2020) Decreasing atmospheric visibility associated with weakening winds from 1980 to 2017 over China. Atmos Environ 224:117314","journal-title":"Atmos Environ"},{"issue":"1","key":"1009_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.apr.2022.101621","volume":"14","author":"X Zhang","year":"2023","unstructured":"Zhang X, Wang Y, Qi J, Si L, Yu H, Luan Q (2023) The effect of wind speed on hazy weather from the long-term trend of low visibility: a case study in the Beijing\u2013Tianjin\u2013Hebei region, China. Atmos Pollut Res 14(1):101621","journal-title":"Atmos Pollut Res"},{"issue":"4","key":"1009_CR24","first-page":"1688","volume":"40","author":"X Zhao","year":"2019","unstructured":"Zhao X, Li Z, Xu J (2019) Modification and performance tests of visibility parameterizations for haze days. Huan Jing Ke Xue 40(4):1688\u20131696","journal-title":"Huan Jing Ke Xue"}],"container-title":["Journal of Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-024-01009-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12650-024-01009-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-024-01009-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T16:30:51Z","timestamp":1726245051000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12650-024-01009-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,5]]},"references-count":24,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["1009"],"URL":"https:\/\/doi.org\/10.1007\/s12650-024-01009-6","relation":{},"ISSN":["1343-8875","1875-8975"],"issn-type":[{"value":"1343-8875","type":"print"},{"value":"1875-8975","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,5]]},"assertion":[{"value":"28 February 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 February 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 May 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 June 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}