Wind studies and field applications
Wind roses, gusts and hourly profiles per station to define spray windows (drift and temperature inversion), size windbreaks, anticipate lodging risk and assess on-farm wind energy potential.
CLIMATE SCIENCE & APPLIED RESEARCH
ONGOING 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.
ET0 and crop water use
Reference evapotranspiration with the FAO-56 Penman-Monteith method, computed hourly from station data, and stage-specific crop coefficients (Kc) for soybean, corn, beans, coffee and sugarcane — the basis for water balance and irrigation depth recommendations.
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.
Virtual stations and spatial densification
Models that estimate meteorological variables where there is no physical measurement, extending network coverage and reducing operational blind spots.
Extreme events: analysis and forecast scenarios
Detection of anomalous regimes and scenario building for precipitation, winds and heat waves in horizons aligned with alerts and planning.
Historical series completion and homogenization
Statistical imputation and source fusion to close temporal gaps and keep long series comparable across decades.
Unified climate data layer
Pipeline integrated with INMET, ANA, ERA5 reanalysis and own stations — common vocabulary, metadata and quality control in a single access.
