Historical climate mesh (INMET × ERA5)
Multivariate cross-referencing of observations and reanalysis to generate coherent retrospective fields and regional grids for trend and risk studies.

CLIMATE SCIENCE & APPLIED RESEARCH
Active lines combining modeling, field data and institutional integration — each project below summarizes the focus, what we are building and how it supports climate decisions with rigor.
Multivariate cross-referencing of observations and reanalysis to generate coherent retrospective fields and regional grids for trend and risk studies.

Models that estimate meteorological variables where there is no physical measurement, extending network coverage and reducing operational blind spots.
Detection of anomalous regimes and scenario building for precipitation, winds and heat waves in horizons aligned with alerts and planning.
Statistical imputation and source fusion to close temporal gaps and keep long series comparable across decades.

Pipeline integrated with INMET, ANA, ERA5 reanalysis and own stations — common vocabulary, metadata and quality control in a single access.