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We have developed a workflow that submits climatology to the computational grid composed by three different grid middlewares (OurGrid, OAR\/CiGri and Globus) and three clusters (situated in Porto Alegre, S\u00e3o Jos\u00e9 dos Campos and Cachoeira Paulista\u2014Brazil). The application characteristics demand a processing grid, rather than a data grid, due to intensive computation and data transfer between the geographically distributed grid nodes. We achieved the goal of generating the climatology using a computational grid. However, we observed problems on application performance due data transfer and non-availability of the computational grid. Questions related to data storage\/transfer and grid failures must be better treated to ensure application performance.<\/jats:p>","DOI":"10.1007\/s13173-013-0099-5","type":"journal-article","created":{"date-parts":[[2013,2,21]],"date-time":"2013-02-21T00:53:09Z","timestamp":1361407989000},"page":"279-290","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Challenges for mesoscale climatology execution on experimental grid computing systems"],"prefix":"10.1007","volume":"19","author":[{"given":"Eugenio Sper de","family":"Almeida","sequence":"first","affiliation":[]},{"given":"Haroldo Fraga de","family":"Campos Velho","sequence":"additional","affiliation":[]},{"given":"Airam Jonatas","family":"Preto","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,2,22]]},"reference":[{"issue":"7","key":"99_CR1","doi-asserted-by":"publisher","first-page":"3431","DOI":"10.1016\/j.jcp.2007.02.034","volume":"227","author":"P Lynch","year":"2008","unstructured":"Lynch P (2008) The origins of computer weather prediction and climate modeling. 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