The ESA Climate Change Initiative: Satellite Data Records for Essential Climate Variables

Observations of Earth from space have been made for over 40 years and have contributed to advances in many aspects of climate science. However, attempts to exploit this wealth of data are often hampered by a lack of homogeneity and continuity and by insufficient understanding of the products and their uncertainties. There is, therefore, a need to reassess and reprocess satellite datasets to maximize their usefulness for climate science. The European Space Agency has responded to this need by establishing the Climate Change Initiative (CCI). The CCI will create new climate data records for (currently) 13 essential climate variables (ECVs) and make these open and easily accessible to all. Each ECV project works closely with users to produce time series from the available satellite observations relevant to users' needs. A climate modeling users' group provides a climate system perspective and a forum to bring the data and modeling communities together. This paper presents the CCI program. It outlines its benefit and presents approaches and challenges for each ECV project, covering clouds, aerosols, ozone, greenhouse gases, sea surface temperature, ocean color, sea level, sea ice, land cover, fire, glaciers, soil moisture, and ice sheets. It also discusses how the CCI approach may contribute to defining and shaping future developments in Earth observation for climate science.

The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms

Satellite-derived remote-sensing reflectance (Rrs) can be used for mapping biogeochemically relevant variables, such as the chlorophyll concentration and the Inherent Optical Properties (IOPs) of the water, at global scale for use in climate-change studies. Prior to generating such products, suitable algorithms have to be selected that are appropriate for the purpose. Algorithm selection needs to account for both qualitative and quantitative requirements. In this paper we develop an objective methodology designed to rank the quantitative performance of a suite of bio-optical models. The objective classification is applied using the NASA bio-Optical Marine Algorithm Dataset (NOMAD). Using in situRrs as input to the models, the performance of eleven semi-analytical models, as well as five empirical chlorophyll algorithms and an empirical diffuse attenuation coefficient algorithm, is ranked for spectrally-resolved IOPs, chlorophyll concentration and the diffuse attenuation coefficient at 489 nm. The sensitivity of the objective classification and the uncertainty in the ranking are tested using a Monte-Carlo approach (bootstrapping). Results indicate that the performance of the semi-analytical models varies depending on the product and wavelength of interest. For chlorophyll retrieval, empirical algorithms perform better than semi-analytical models, in general. The performance of these empirical models reflects either their immunity to scale errors or instrument noise in Rrs data, or simply that the data used for model parameterisation were not independent of NOMAD. Nonetheless, uncertainty in the classification suggests that the performance of some semi-analytical algorithms at retrieving chlorophyll is comparable with the empirical algorithms. For phytoplankton absorption at 443 nm, some semi-analytical models also perform with similar accuracy to an empirical model. We discuss the potential biases, limitations and uncertainty in the approach, as well as additional qualitative considerations for algorithm selection for climate-change studies. Our classification has the potential to be routinely implemented, such that the performance of emerging algorithms can be compared with existing algorithms as they become available. In the long-term, such an approach will further aid algorithm development for ocean-colour studies.

Evaluating the social effects of the EU URBAN Community Initiative Programme

This article explores alternative interpretations of the meaning and method of urban policy evaluation within the European Union (EU) Structural Funds. Using the EU URBAN Community Initiative Programme 1994-1999 it draws a distinction between 'instrumental' techniques that are primarily concerned with performance and efficiency measures and 'interpretative' approaches that stress the need to explore power relationships in the development and delivery of spending programmes. Empirically, it reflects on the interpretation of EU guidance and the MEANS (Means for Evaluating Actions of a Structural Nature) Collection to evaluate the Derry/Londonderry (UK) URBAN Sub-programme 1994-1999. The analysis concludes by emphasizing the need to ensure that urban policy evaluation is consistent with the broader social turn in the scope and content of regeneration programmes.

Addressing diversity and inclusion in the early years in conflict-affected societies: A case study of the Media Initiative for Children – Northern Ireland

This article reports on the development and systematic evaluation of an innovative early years programme aimed at encouraging young children to respect differences within a deeply-divided society that is emerging out of a prolonged period of violent conflict. The programme, the Media Initiative for Children – Northern Ireland, has been the product of a partnership between an US-based organisation (the Peace Initiatives Institute) and NIPPA – The Early Years Organisation and has been supported by academic research and the efforts of a range of voluntary and statutory organisations. It has attempted to encourage young children to value diversity and be more inclusive of those who are different to themselves through the use of short cartoons designed for and broadcast on television as well as specially-prepared curricular materials for use in pre-school settings. To date the programme has been delivered through 200 settings to approximately 3,500 pre-school children across Northern Ireland. This article describes how the programme was developed and implemented as well as the rigorous approach taken to evaluating its effects on young children’s attitudes and awareness. Key lessons from this are identified and discussed in relation to future work in this area.