IRI Data Library Overview Specialized Data Tools Maproom Generalized Data Tools Data Viewer Data Language Dataset Variable ivar multidimensional So here is the IRI/LDEO Data Library shot at this, connecting the space of data and data manipulations. At the bottom we have the compute engine/data organization, which is what maps the data/manipulation space into URLs, i.e. the WWW. Built on top of that are some general data tools, i.e. they can be applied to any dataset and adapt accordingly. There is a data language, making it possible to specify sophisticated analy ses. And there is a data viewer, making it possible to quickly graph data in a number of standard ways. And there are also more specialized tools, designed for particular audiences to view specific things. We have a Maproom (soon to be or already map rooms) which contains continuously updated views of aspects of the climate system, as well as specialized tools aimed at particular audiences that let a use extract views/data with a few clicks. There is a tradeoff here: the general tools are great, but require a user to navigate a vast set of datasets and a vast set of possible manipulations, which not everybody is up to. The specialized tools are a way to make sophisticated c alculations easy to access. IRI Data Collection URL/URI for data, calculations, figs, etc

descriptive and navigational pages IRI Data Collection GRIB netCDF images binary GIS spreadsheets “geolocated by lat/lon” shapefiles Database Tables queries “geolocated by entity” Servers OPeNDAP THREDDS images w/proj IRI Data Collection Dataset Variable ivar “geolocated by vector object” Calculations “virtual variables” images graphics descriptive and navigational pages Having got all that data into the data library, we can process it in a uniform way. The data structure leads directly to calculations and “virtual variables”, i.e. many of the Data Library entries are actually calculations done on other entities, e.g. PressureLevel data zonal velocities computed from hybrid level divergence and vorticity, or sea surface temperature anomaly computed from sea surface temperature and sea surface temperature climatology User Interface – the data collection structure and metadata is used to generate a web interface to the data – provides navigation through the datasets, a viewer that slices and dices, many manipulations and calculations. We also generate output Data Files in many different formats, as well as tables of various kinds, many of which are useful to one kind of user or another, i.e. different data cultures have different preferred formats. Atm/Ocean like netcdf and straight binary, GIS prefers sets of images, Public Health prefers tables. We also act as a data server using OpenDAP and THREDDS, again mostly useful for Ocean/Atm We have perhaps implemented OpenGIS Web Map Server v1.3 – a bit of a mistake, since v1.3 is the next version rather than the currently widely used one. Time will correct this, with any luck. It is important to note that everything following from the structure and attributes in the IRI Data Collection, no additional configuration is done to control the conversions to different fromats or to serve the data with different protocols. Not all data can be served in all formats. OpenDAP/THREDDS is particularly important because it can express any dataset and/or any analysis, so that I can transfer calculations between servers. At least, it will once I code transmission of SimpleFeatures with OpenDAP. Clients OPeNDAP THREDDS Data Files netcdf binary images Tables OpenGIS WMS/WCS