{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T22:42:20Z","timestamp":1740177740469,"version":"3.37.3"},"reference-count":8,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01n02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adv. Data Sci. Adapt. Data Anal."],"published-print":{"date-parts":[[2019,4]]},"abstract":"<jats:p> Global climate observations from ground stations require an evaluation of the effectiveness of a station network, which is often an assessment of the geometric distribution of [Formula: see text] points on a sphere. The representativeness of the Angell\u2013Korshover 63-station network (AK-network) is assessed in this paper. It is shown that AK-network can effectively sample the January global average temperature data of the NCEP\/NCAR Reanalysis from 1948 to 2015 when estimating inter-decadal variations, but it has large uncertainties for estimating linear trends. This paper describes a method for the assessment, and also includes an iterative numerical algorithm used to search for the locations of 63 uniformly distributed stations, named U63. The results of AK-63 and U63 are compared. The Appendix explains a problem of searching for the optimal distribution of [Formula: see text] points on a unit sphere in three-dimensional space under the condition of the maximum sum of the mutual distances among the points. The core R code for finding U63 is included. The R code can generate various interesting configurations for different [Formula: see text], among which one is particularly surprising: The configuration of 20 points is not a dodecahedron although the configurations for [Formula: see text], and 12 are tetrahedron, octahedron, cube, and icosahedron, respectively. <\/jats:p>","DOI":"10.1142\/s2424922x19500013","type":"journal-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T02:39:36Z","timestamp":1551321576000},"page":"1950001","source":"Crossref","is-referenced-by-count":0,"title":["A Representativeness Assessment of the Angell\u2013Korshover 63-Station Network Sampling Based on Reanalysis Temperature Data"],"prefix":"10.1142","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4535-4684","authenticated-orcid":false,"given":"Samuel S. P.","family":"Shen","sequence":"first","affiliation":[{"name":"Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2019,7,2]]},"reference":[{"key":"S2424922X19500013BIB001","doi-asserted-by":"publisher","DOI":"10.1029\/2000GL011435"},{"key":"S2424922X19500013BIB002","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0493(1975)103<1007:EOTGCI>2.0.CO;2"},{"key":"S2424922X19500013BIB003","doi-asserted-by":"publisher","DOI":"10.1080\/10586458.2016.1226209"},{"key":"S2424922X19500013BIB005","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1175\/BAMS-86-3-411","volume":"86","author":"Seidel D.","year":"2005","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"S2424922X19500013BIB006","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0442(1994)007<1999:SATOEO>2.0.CO;2"},{"key":"S2424922X19500013BIB007","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0442(1998)011<2340:AORAMW>2.0.CO;2"},{"key":"S2424922X19500013BIB008","doi-asserted-by":"publisher","DOI":"10.1007\/BF03025291"},{"key":"S2424922X19500013BIB009","doi-asserted-by":"publisher","DOI":"10.1002\/wcc.80"}],"container-title":["Advances in Data Science and Adaptive Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S2424922X19500013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T14:57:13Z","timestamp":1565103433000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S2424922X19500013"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":8,"journal-issue":{"issue":"01n02","published-online":{"date-parts":[[2019,7,2]]},"published-print":{"date-parts":[[2019,4]]}},"alternative-id":["10.1142\/S2424922X19500013"],"URL":"https:\/\/doi.org\/10.1142\/s2424922x19500013","relation":{},"ISSN":["2424-922X","2424-9238"],"issn-type":[{"type":"print","value":"2424-922X"},{"type":"electronic","value":"2424-9238"}],"subject":[],"published":{"date-parts":[[2019,4]]}}}