author = "Moreira, Demerval Soares and Freitas, Saulo Ribeiro de and 
                         Bonatti, Jose Paulo and Mercado, L. M. and Ros{\'a}rio, N. M. 
                         {\'E}. and Longo, Karla Maria and Miller, J. B. and Gloor, M. and 
                         Gatti, L. V.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and University of Exeter, College of 
                         Life and Environmental Sciences, Exeter, EX4 4RJ, United Kingdom; 
                         Centre for Ecology and Hydrology, Wallingford, Oxon OX10 8BB, 
                         United Kingdom and UNIFESP - Evironmental Sciences Division, Rua 
                         Prof. Artur Riedel, 275, Diadema, SP, Brazil and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and NOAA/ESRL R/GMD1 325 
                         Broadway, Boulder, CO 80305, United States; CIRES, University of 
                         Colorado, Boulder, CO 80309, United States and University of 
                         Leeds, School of Geography, Woodhouse Lane, Leeds, LS2 9JT, United 
                         Kingdom and CNEN, IPEN, Cidade Universitaria, Av. Prof. Lineu 
                         Prestes, 2242, S{\~a}o Paulo, SP, Brazil",
                title = "Coupling between the JULES land-surface scheme and the CCATT-BRAMS 
                         atmospheric chemistry model (JULES-CCATT-BRAMS1.0): Applications 
                         to numerical weather forecasting and the CO2 budget in South 
              journal = "Geoscientific Model Development",
                 year = "2013",
               volume = "6",
               number = "4",
                pages = "1243--1259",
                 note = "{Supplementary material related to this article is} and {available 
                         by clicking the acessar link or online at: 
                         http://www.geosci-model-dev.net/6/} and 
             keywords = "airport, atmospheric chemistry, atmospheric modeling, carbon 
                         budget, carbon dioxide, data interpretation, data set, land 
                         surface, mixing ratio, numerical model, photosynthesis, spatial 
                         resolution, vegetation, weather forecasting, South America.",
             abstract = "This article presents the coupling of the JULES surface model to 
                         the CCATT-BRAMS atmospheric chemistry model. This new numerical 
                         system is denominated JULES-CCATT-BRAMS. We demonstrate the 
                         performance of this new model system in relation to several 
                         meteorological variables and the CO2 mixing ratio over a large 
                         part of South America, focusing on the Amazon basin. The 
                         evaluation was conducted for two time periods, the wet (March) and 
                         dry (September) seasons of 2010. The model errors were calculated 
                         in relation to meteorological observations at conventional 
                         stations in airports and automatic stations. In addition, CO2 
                         mixing ratios in the first model level were compared with 
                         meteorological tower measurements and vertical CO2 profiles were 
                         compared with observations obtained with airborne instruments. The 
                         results of this study show that the JULES-CCATT-BRAMS modeling 
                         system provided a significant gain in performance for the 
                         considered atmospheric fields relative to those simulated by the 
                         LEAF (version 3) surface model originally employed by CCATT-BRAMS. 
                         In addition, the new system significantly increases the ability to 
                         simulate processes involving air-surface interactions, due to the 
                         ability of JULES to simulate photosynthesis, respiration and 
                         dynamic vegetation, among other processes. We also discuss a wide 
                         range of numerical studies involving coupled atmospheric, land 
                         surface and chemistry processes that could be done with the system 
                         introduced here. Thus, this work presents to the scientific 
                         community a free modeling tool, with good performance in 
                         comparison with observational data and reanalysis model data, at 
                         least for the region and time period discussed here. Therefore, in 
                         principle, this model is able to produce atmospheric 
                         hindcast/forecast simulations at different spatial resolutions for 
                         any time period and any region of the globe.",
                  doi = "10.5194/gmd-6-1243-2013",
                  url = "http://dx.doi.org/10.5194/gmd-6-1243-2013",
                 issn = "1991-959X",
                label = "scopus 2013-11",
             language = "en",
           targetfile = "gmd-6-1243-2013.pdf",
                  url = "www.geosci-model-dev.net/6/1243/2013/",
        urlaccessdate = "23 jan. 2021"