Based on a citizen-initiated climate data crowdsensing campaign, we showcase mechanisms for ensuring data quality and discuss requirements for collaborative curation of the collected information. Specifically, we delve into the challenges and opportunities citizen-led data collection with the Netatmo Smart Home Weather Station. Our study addresses the engagement of citizens in the scientific process, investigates innovative detection mechanisms for enhancing data quality in crowdsensed climate data, and introduces robust metrics for assessing data quality. Additionally, we propose a design for an application that gives citizens the opportunity to actively participate in data validation and curation, thus increasing the trustworthiness and usefulness of the collected data. These solutions actively contribute to the ongoing design and evolution of climate data crowdsensing, harnessing the potential of the urban knowledge society. In this way, they actively support the participation of the city community in overcoming social challenges associated with climate change adaptation.