CLARITY Screening Service for Climate Hazards, Impacts and Effects of the Adaptation Options The CLARITY project (www.clarityh2020.eu) aims to implement a new generation of climate services that allow the service users to perform an initial assessment of the expected climate change effects in the project area, as well as an initial assessment of the need for and of the usability of the adaptation options in the early project planning phase. The target users of this service are the consultants and urban planning experts that arenxe2x80x99t climate change experts but need to produce standardized reports indicating the climate hazard, exposure and impact data, as well as the expected impact of the adaptation options in the project area, as a part of the project planning. The initial implementation of this service uses the available open data to calculate the local heat hazard, population exposure and related impact indicators at the project location on the fly. In the initial implementation, the heat related can be automatically calculated for more than 400 European cities, with a spatial resolution of 500 xc3x97 500 m2. Extension to the flooding hazards and related impacts is in implementation. This article will describe in more detail the workflow and the technical implementation of the CLARITY screening service and discuss the value, potential and the limitations of the current service implementation.

Evaluation of the Spatial Pattern of the ResolutionEnhanced Thermal Data for Urban Area With the development of urbanization, land surface temperature (LST), as a vital variable for the urban environment, is highly demanded by urbanrelated studies, especially the LST with both fine temporal and spatial resolutions. Thermal sharpening methods have been developed just under this demand. Until now, there are some thermal sharpening methods proposed especially for urban surface. However, the evaluation of their accuracy still stopped at the level that only considers the statistical aspect, but no spatial information has been included. It is widely acknowledged that the spatial pattern of the thermal environment in an urban area is relatively critical for urbanrelated studies (e.g., urban heat island studies). Thus, this paper chose three typical methods from the limited number of thermal sharpening methods designed for the urban area and made a comparison between them, together with a newly proposed thermal sharpening method, superresolutionbased thermal sharpener (SRTS). These four methods are analyzed by data from different seasons to explore the seasoning impact. Also, the accuracy for different land covers is explored as well. Furthermore, accuracy evaluation was not only taken by statistical variables which are commonly used in other studies; evaluation of the spatial pattern, which is equally important for urbanrelated studies, was also carried out. This time, the spatial pattern not only was analyzed qualitatively but also has been quantified by some variables for the comparison of accuracy. It is found that all methods obtained lower accuracies for data in winter than for data in other seasons. Linear water features and areas along it are difficult to be detected correctly for most methods.