{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T23:41:58Z","timestamp":1648683718062},"reference-count":7,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advs. Complex Syst."],"published-print":{"date-parts":[[2002,3]]},"abstract":"<jats:p> A statistical inference method known as \u03b5-machine reconstruction is introduced as a modeling procedure for turbulent transport processes in a climate model. Observational data on the atmospheric boundary layer obtained with a radar wind profiler, a radio-acoustic sounding system, and a Raman lidar system was assembled to construct this type of model for use within the unresolved (sub-grid) scales of a numerical climate model. An ensemble of 500 single-column model runs using the inferred sub-grid turbulent transport models demonstrated comparable performance to an identical ensemble of runs using the standard, eddy-diffusivity parametrizations for the turbulent transport. The primary advantages of the \u03b5-machine models are that they are a less biased modeling framework for complex processes such as turbulent transport, and that they are more memory efficient. <\/jats:p>","DOI":"10.1142\/s021952590200050x","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T07:07:52Z","timestamp":1027753672000},"page":"73-89","source":"Crossref","is-referenced-by-count":1,"title":["INFERENCE VERSUS IMPRINT IN CLIMATE MODELING"],"prefix":"10.1142","volume":"05","author":[{"given":"A. J.","family":"PALMER","sequence":"first","affiliation":[{"name":"NOAA Environmental Technology Laboratory, 325 Broadway, Boulder, CO 80305, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T. L.","family":"SCHNEIDER","sequence":"additional","affiliation":[{"name":"NOAA Environmental Technology Laboratory, 325 Broadway, Boulder, CO 80305, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L. A.","family":"BENJAMIN","sequence":"additional","affiliation":[{"name":"NOAA Forecast Systems Laboratory, 325 Broadway, Boulder, CO 80305, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"p_1","first-page":"66","author":"Crutchfield J. P.","year":"1992","journal-title":"Berlin"},{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(94)90273-9"},{"key":"p_3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.63.105"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1364\/AO.37.004979"},{"key":"p_5","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0442(1998)011<1179:THATCO>2.0.CO;2"},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0442(2000)013<0352:AOSUIS>2.0.CO;2"},{"key":"p_12","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0477(1993)074<0599:AEOWPR>2.0.CO;2"}],"container-title":["Advances in Complex Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021952590200050X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T16:28:41Z","timestamp":1565108921000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021952590200050X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,3]]},"references-count":7,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2002,3]]}},"alternative-id":["10.1142\/S021952590200050X"],"URL":"https:\/\/doi.org\/10.1142\/s021952590200050x","relation":{},"ISSN":["0219-5259","1793-6802"],"issn-type":[{"value":"0219-5259","type":"print"},{"value":"1793-6802","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,3]]}}}