The CLIMOS project recently hosted a collaborative and insightful meeting in the picturesque city of Haifa, Israel, focusing on data and distribution modeling in the realm of climate studies. Esteemed experts hailing from Serbia, the Netherlands, Germany, Spain, and Israel convened to present their latest research findings, as well as to deliberate on the challenges and opportunities that lie ahead in the field of climate modeling.
Throughout the meeting, the experts engaged in lively discussions on various topics, including the formation of a data standardization team, sharing climate and environmental records, defining errors in climate records, exploring seasonal projections, and understanding the life cycle of sand flies and its potential changes. The use of OGC services for the EWS was also deliberated upon.In the future, the climate group, comprising UH, Predictia, and UFZ, will determine the climate dataset to be utilized in their analysis, ensuring all spatial resolutions are considered. UFZ will supply environmental records such as land cover, land use, soil moisture, and population distribution, along with socioeconomic data. Meanwhile, IMR will focus on human cases data, and WU will propose significant variables for SFs based on their analysis. Various team members will collaborate on the analysis and modeling processes.
Prof. Dr. Frank van Langevelde from Wageningen University in the Netherlands shared valuable insights into understanding and predicting the spread of SF and SFBDs with the help of species distribution modeling (SDM).
Dr. Suzana Blesic from the University of Belgrade’s Institute for Medical Research in Serbia introduced the novel Hurst Space Analysis and expounded on its application in comprehending human vector-borne disease cases in relation to temperature and rainfall through wavelet transform analysis.
The CLIMOS project meeting in Haifa proved to be an exceptional platform for experts to exchange research findings and ideas while tackling the challenges and opportunities in climate modeling. With a spirit of teamwork and a commitment to innovation, the team will continue to work together in overcoming these challenges and devising new strategies to enhance climate modeling and forecasting.
