Udo Skielka

Experience

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  IFSC - Instituto Federal de Santa Catarina

  Jan 2011 - Nov 2013

  Substitute Teacher

  Substitute professor at the technical course of meteorology. Taught in the following courses: Climatology, Astronomy and Geodesy, Meteorological Instrumentation, Techniques of Meteorological Observation.

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  EPAGRI/CIRAM

  Mar 2011 - Jan 2013

  Research Assistant

  Worked in the development of analytical tools for the meteorology service in the center: numerical modelling of the atmosphere, quality control of station and simulated data, implementation of algorithm to predict frost at Santa Catarina State.

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  FUNDAGRO - Fundação de Apoio ao Desenvolvimento Rural Sustentável do Estado de Santa Catarina

  Jan 2014 - Jan 2015

  Meteorologist

  Meteorology forecast and monitoring and climate prediction for customers.

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  AQUAERIS ENGENHARIA E SOLUÇÕES AMBIENTAIS

  Nov 2015 - Mar 2020

  Meteorologist
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  WMO/UNO

  Mar 2020 - Jun 2020

  Meteorologist Consultant

  Consultancy on the implementation of methodology for the verification of the weather forecast and alerts emitted to the public. Understanding of the error sources inherent of air temperature and humidity predicted on a nationwide basis. Statistical analysis of the historical forecast data from conventional weather stations for assessment of the standard errors for the emitted alerts and forecasts to the public. Assessment of regulations and policies for alert emission used by the civil services nationwide. In this job I used the softwares R and Excel for data treatment and statical analysis. Mostrar menos

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  Picsel

  Jan 2022 - Feb 2024

  Data Analyst

  Maintenance and analysis of weather and climate databases in AWS server (ECMWF ERA5-Land, CHIRPS, station data). Compatibility analysis among the different databases to be applied in machine learning-based models (evapotranspiration, productivity), developed by the data science team. Installation of routines for the operational run of numerical models for short to medium range weather prediction, dynamical downscale of surface variables and verification of the output data. Evaluation of statistical downscale packages available in GitHub. Data quality analysis of the modeled and downloaded data through the use of statistical metrics and time series analysis. Mostrar menos