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Join the second International Workshop on Advances in the Use of Historical Marine Climate Data at Hadley Centre for Climate Prediction and Research. Explore themes like data set development, quantifying uncertainties, data base access, and utilizing marine data in climate research. Collaborate to set priorities for the future development of marine climate data and products.
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2nd International Workshop on Advances in the Use of Historical Marine Climate Data (MARCDAT-II) 17-20th October 2005 Hadley Centre for Climate Prediction and Research, Met Office, Exeter, U.K.
Strategy and goals of the Workshop • Theme 1: developing gridded data sets: combining/reconciling observations (includes understanding the observations, homogeneity, quality control and analysis issues). • Theme 2: quantifying data and analysis uncertainties (putting error bars on the data sets; includes bias and bias-correction uncertainties, random and sampling errors)
Strategy and goals (cont) • Theme 3: data base development and access (technical issues such as observation and metadata database construction, adding more data, documentation, data dissemination, etc). • Theme 4: use of marine data in climate research (defining data requirements, assessing what we know about climate variability and change)
Overall Aims of Plenary and Breakout Sessions To set priorities for the future development of marine climate data and products over the next four years.
Detailed Aims of Plenary and Breakouts • Review progress against the scientific and technical recommendations made at MARCDAT-I and CLIMAR-II. • Develop the timetable for enhancing in situ marine data bases, with a focus on ICOADS, taking account of plans for further digitization and improved processing of the basic observational data, and what has been achieved to date. • Discuss methods for quantifying uncertainties in marine data and create a timetable for the assembly of a suite of gridded marine datasets with associated uncertainties.
Detailed Aims of Plenary and Breakouts (cont) • Develop strategies for the creation of multi-decadal, homogeneous, gridded data sets for climate applications, identifying priorities for improvement amongst four groups of variables: (i) SST, MAT and humidity; (ii) sea ice concentration and extent; (iii) sea level pressure and winds and (iv) sub-surface ocean temperature and salinity, fluxes and clouds. • Consider how to define our future data requirements