Guisseppe Arturo Vasquez Villano

- Processed climate forecasts and agroclimatic indices impacting crops. -Conducted field activities for agrometeorological monitoring, integrating geospatial and remote sensing techniques.

-Developed methods to identify climatic conditions affecting diseases such as Dengue, Malaria, and Respiratory Infections using geospatial analysis and Generalized Additive Models (GAM). -Created an interactive dashboard to provide public health insights.

-Analyzed agroclimatic data from satellite sources to support climate change research on crops and ecosystems. -Interpreted earth-atmosphere interactions for agrometeorological studies.

-Proposed a scientific article on drought indices and their impact on potato yield.

- Proposed a web viewer for the Atlas of Historical Trends of Peru using R and Java, and conducted a study on drought impacts on potato production in Puno, leveraging geospatial visualisation techniques.

- Created an algorithm to estimate and compare climate trends for a climate adaptation project, utilizing remote sensing and data science techniques.

- Managed quality control and homogenisation of meteorological data from satellite and in situ sources using programming tools such as R and Python. Developed the Cold Wave Study in Peru using geospatial data.

- Provided technical support for the Peruvian Sea atlas. - Analyzed anomalous river and lake events in the Amazon using satellite imagery for environmental monitoring.

- Conducted geospatial and agroclimatic studies on growing periods based on precipitation frequency, characterizing multiple districts across various regions of Peru for the "Reduction of Agricultural Soil Degradation" program, providing data-driven insights for sustainable agricultural practices

-Issued meteorological warnings for aviation safety. -Applied geospatial analysis to enhance prediction accuracy, improve real-time decision-making, and ensure flight safety.

- Analyzed global numerical weather models and prepared comprehensive reports on severe weather events, incorporating satellite data for validation to enhance forecast reliability and provide actionable insights for stakeholders in meteorological and environmental planning