[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-detail-183273-en":59,"doc-seo-183273-105":82},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":5,"data":60},{"doc_id":61,"user_id":62,"nickname":63,"user_avatar":64,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":66,"doc_content":67,"file_id":68,"file_url":69,"file_type":70,"file_size":71,"view_count":72,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":73,"language":74,"language_code":75,"site_id":76,"html_lang":75,"table_of_contents":77,"faqs":78,"seo_title":79,"seo_description":66,"update_tm":80,"read_time":81,"preview_page_count":4},183273,1374402739827,"Nguyễn Văn Học","https://ap-avatar.wpscdn.com/avatar/14000c97e7351f1a627?x-image-process=image/resize,m_fixed,w_180,h_180&k=1787885694763230660","Parameter NWP (kode) Analysis Using LASSO","This document presents an analysis of meteorological parameters using the LASSO (Least Absolute Shrinkage and Selection Operator) regression method. It includes a table detailing various NWP (Numerical Weather Prediction) parameters, their codes, levels, corresponding X variables, and units. The parameters include surface pressure tendency, water mixing ratio, vertical velocity, PBL depth, surface pressure, mean sea level pressure, screen mixing ratio, relative humidity, precipitation, temperature, maximum screen temperature, maximum screen temperature, pan temperature, screen temperature, zonal wind, friction velocity, meridional wind, and geopotential height. Accompanying figures display coefficient paths for different parameters as a function of lambda, illustrating how coefficients shrink towards zero with increasing lambda. Figure (a) shows the path for 'w$coef', figure (b) for 't$coef', and figure (c) for 't$coef' again, likely representing different subsets or analyses. A summary table on the last page indicates the optimal number of components and the cross-validation (CV) error for 'TMAKS', 'TMIN', and 'RH' parameters, with values of 21, 4, and 12 components, respectively, and corresponding CV errors of 0.6411, 0.8809, and 0.7708. This suggests a data-driven approach to feature selection and model building in meteorological forecasting.","","cbCaic1jo73rx7Qc","https://ap.wps.com/l/cbCaic1jo73rx7Qc","pdf",1818577,15,14,"English","en",105,"# Parameter NWP (kode)\n## Level\n## X\n## Satuan\n# CV terendah\n## TMAKS\n## TMIN\n## RH","[{\"question\":\"What is the purpose of the LASSO analysis presented in this document?\",\"answer\":\"The LASSO analysis is used to select important NWP (Numerical Weather Prediction) parameters and potentially shrink the coefficients of less important ones towards zero, aiding in model building and feature selection for meteorological data.\"},{\"question\":\"Which meteorological parameters are analyzed in this document?\",\"answer\":\"The document lists and analyzes parameters such as surface pressure tendency, water mixing ratio, vertical velocity, PBL depth, relative humidity, precipitation, and various temperature and wind components.\"},{\"question\":\"What do the figures showing coefficient paths represent?\",\"answer\":\"The figures illustrate how the regression coefficients for different parameters change as the LASSO penalty parameter (lambda) increases. This helps visualize which parameters are selected into the model at different levels of regularization.\"}]","Parameter NWP (kode) Analysis Using LASSO | PDF",1788351957,35,{"code":4,"msg":83,"data":84},"ok",{"site_id":76,"language":75,"slug":85,"title":65,"keywords":67,"description":66,"schema_data":86,"social_meta":140,"head_meta":142,"extra_data":144,"updated_unix":80},"parameter-nwp-kode-analysis-using-lasso",{"@graph":87,"@context":139},[88,102,122],{"@type":89,"itemListElement":90},"BreadcrumbList",[91,95,97,100],{"item":92,"name":93,"@type":94,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":96,"name":9,"@type":94,"position":14},"https://docshare.wps.com/document/",{"item":98,"name":40,"@type":94,"position":99},"https://docshare.wps.com/document/research-report/",3,{"item":101,"name":65,"@type":94,"position":19},"https://docshare.wps.com/document/parameter-nwp-kode-analysis-using-lasso/183273/",{"url":101,"name":65,"@type":103,"image":104,"author":109,"headline":65,"publisher":111,"fileFormat":114,"inLanguage":75,"description":66,"dateModified":115,"datePublished":116,"encodingFormat":114,"isAccessibleForFree":117,"interactionStatistic":118},"DigitalDocument",{"url":105,"@type":106,"width":107,"height":108},"https://docshare.wps.com/thumbnails/parameter-nwp-kode-analysis-using-lasso/183273.png","ImageObject",300,407,{"name":63,"@type":110},"Person",{"url":92,"name":112,"@type":113},"DocShare","Organization","application/pdf","2026-10-27","2026-09-02",true,{"@type":119,"interactionType":120,"userInteractionCount":72},"InteractionCounter",{"@type":121},"ViewAction",{"@type":123,"mainEntity":124},"FAQPage",[125,131,135],{"name":126,"@type":127,"acceptedAnswer":128},"What is the purpose of the LASSO analysis presented in this document?","Question",{"text":129,"@type":130},"The LASSO analysis is used to select important NWP (Numerical Weather Prediction) parameters and potentially shrink the coefficients of less important ones towards zero, aiding in model building and feature selection for meteorological data.","Answer",{"name":132,"@type":127,"acceptedAnswer":133},"Which meteorological parameters are analyzed in this document?",{"text":134,"@type":130},"The document lists and analyzes parameters such as surface pressure tendency, water mixing ratio, vertical velocity, PBL depth, relative humidity, precipitation, and various temperature and wind components.",{"name":136,"@type":127,"acceptedAnswer":137},"What do the figures showing coefficient paths represent?",{"text":138,"@type":130},"The figures illustrate how the regression coefficients for different parameters change as the LASSO penalty parameter (lambda) increases. This helps visualize which parameters are selected into the model at different levels of regularization.","https://schema.org",{"og:url":101,"og:type":141,"og:title":65,"og:site_name":112,"og:description":66},"article",{"robots":143,"canonical":101},"index,follow",{"doc_id":61,"site_id":76}]