[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-196543-105":53,"doc-detail-196543-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","casa-carnegie-ames-stanford-approach-model","CASA - Carnegie-Ames-Stanford Approach model","","CASA (Carnegie-Ames-Stanford Approach) is a terrestrial ecosystem productivity model that estimates monthly net primary production using light-use efficiency modified by temperature and moisture stress. Soil carbon cycling and heterotrophic fluxes are represented with compartmental pools and first-order CO2 loss equations for decomposing plant residues and soil organic matter. Outputs address responses of net CO2 exchange and trace gas fluxes to interannual climate variability (1983–1988) in transient simulations.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/casa-carnegie-ames-stanford-approach-model/196543/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/casa-carnegie-ames-stanford-approach-model/196543.png","ImageObject",442,249,{"name":88,"@type":89},"Eden","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-11","2026-09-03",true,{"@type":98,"interactionType":99,"userInteractionCount":15},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What main mechanism does the CASA model use to estimate monthly terrestrial NPP?","Question",{"text":108,"@type":109},"It calculates monthly terrestrial NPP from light-use efficiency, modified by temperature and moisture stress scalars.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How does CASA represent soil carbon cycling and CO2 loss?",{"text":113,"@type":109},"It uses compartmental pool structures with first-order equations to simulate CO2 loss from decomposing plant residue and surface soil organic matter pools.",{"name":115,"@type":106,"acceptedAnswer":116},"What kinds of outputs and time coverage does the model provide?",{"text":117,"@type":109},"It produces global gridded estimates of primary production, biomass, LAI, and trace gas fluxes, including responses to interannual climate variability for 1983 to 1988 in transient mode.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},196543,1788458221,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":15,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":9,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":125,"read_time":4},1374391974468,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","| Description | Calculation of monthly terrestrial NPP is based on the concept of light-use efficiency, modified by temperature and moisture stress scalars. Soil carbon cycling and Rh flux components of the model are based on a compartmental pool structure, with first-order equations to simulate loss of CO2 from decomposing plant residue and surface soil organic matter (SOM) pools. Model outputs include the response of net CO2 exchange and other major trace gases in terrestrial ecosystems to interannual climate variability (1983 to 1988) in a transient simulation mode. |\n| --- | --- |\n| Appropriate Use | Climate change analysis of ecosystem productivity. |\n| Scope | Global to regional. |\n| Key Output | Global gridded estimates of primary production, above and below ground biomass, leaf area index (LAI), and trace gas fluxes. |\n| Key Input | Air surface temperature and precipitation are used together with long-term (30-year) mean values, and surface solar irradiance measurements. |\n| Ease of Use | Expertise of ecosystem and biogeochemistry science. |\n| Training Required | Yes. |\n| Training Available | No formal training offered. |\n| Computer Requirements | High end workstation. |\n| Documentation | [http://geo.arc.nasa.gov/sge/casa/index4.html](http://geo.arc.nasa.gov/sge/casa/index4.html). |\n| Applications | Estimate of current ecosystem productivity. |\n| Contacts for Framework, Documentation, Technical Assistance | Christopher Potter, Ecosystem Science and Technology, NASA Ames Research Center, Moffett Field, CA USA; Tel: 650.604.6164; Fax: 650.604.4680;\u003Cbr>e-mail: [cpotter@gaia.arc.nasa.gov](cpotter@gaia.arc.nasa.gov). |\n| Cost | Not specified. |\n| References | Potter C.S. and S.A. Klooster. 1997. Global model estimates of carbon and nitrogen storage in litter and soil pools: Response to change in vegetation quality and biomass\u003Cbr>allocation. Tellus 49B(1):1-17 .\u003Cbr>Potter, C.S., E.A. Davidson, and L. Verchot. 1996. Estimation of global biogeochemical controls and seasonality in soil methane consumption. Chemosphere 32(11):2219-2246. Potter, C.S., S.A. Klooster, and V. Brooks. 1999. Interannual variability in terrestrial net primary production: Exploration of trends and controls on regional to global scales.\u003Cbr>Ecosystems 2(1):36-48 .\u003Cbr>Potter, C.S., P.A. Matson, P.M. Vitousek, and E.A. Davidson. 1996. Process modeling of controls on nitrogen trace gas emissions from soils world-wide. J. Geophys. Res.\u003Cbr>101:1361-1377. |","cbCailJeo2ul4Sm0","https://ap.wps.com/l/cbCailJeo2ul4Sm0","pdf",11483,"English","# Model description\n## Core calculations\n## Soil carbon and CO2 flux formulation\n# Simulation setup\n## Climate variability period\n# Inputs and outputs\n## Key inputs\n## Key outputs\n# Use and requirements\n## Appropriate use\n## Ease of use and training\n## Computer requirements\n# Documentation and contacts\n## Documentation link\n## NASA Ames contacts\n# References","[{\"question\":\"What main mechanism does the CASA model use to estimate monthly terrestrial NPP?\",\"answer\":\"It calculates monthly terrestrial NPP from light-use efficiency, modified by temperature and moisture stress scalars.\"},{\"question\":\"How does CASA represent soil carbon cycling and CO2 loss?\",\"answer\":\"It uses compartmental pool structures with first-order equations to simulate CO2 loss from decomposing plant residue and surface soil organic matter pools.\"},{\"question\":\"What kinds of outputs and time coverage does the model provide?\",\"answer\":\"It produces global gridded estimates of primary production, biomass, LAI, and trace gas fluxes, including responses to interannual climate variability for 1983 to 1988 in transient mode.\"}]","CASA - Carnegie-Ames-Stanford Approach model | PDF"]