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Idea for Hackathon
Participate in a challenging activity under couching of
specialists in the use of climatic and soil data. Test our
abilities, skills and contribute with local knowledge on
the topics. Sharing experiences and networking.
Lack of data & Acces
Lack of knowledge about
climate variables in
agricultural community
Improvement of
tools and products
for agricultural and
government entities
Down to ground
Where we make available to agricultural producers and
government entities a tool that use free sofware, free data and
products that can alert producer about weather conditions and
complement the servicies of INTA – SMN, others
JANUARY JULY
We select a Grape production for fine wine, to aplly diferrent
indexes, i.e.
Integral Térmica Activa de Winkler
ITW = Σ (Tmd – 10 ºC) x días del mes.1 Sept
31 Mar
We select a Grape production for fine wine, to aplly diferrent
indexes, i.e.
Coeficiente Hidrométrico de Zuluaga
CH= Σ (Tmm x mm lluvia)/PLH1 Sept
31 Mar
We select a Grape production for fine wine, to aplly diferrent
indexes, i.e.
ITW + CH
Correlation between reanalysis data with sensor
data.
Errors.
R-squared 0.626
BIAS 1.107986813
RMSD 3.923062333
R-squared 0.577
BIAS -0.232598025
RMSD 3.400398529
Air T & H
Air T & H vs.
Soil T & Water
Potencial
Identify Zonda Wind Events (IZWE)
Data input for
Zonda index
- T and Td at
850, 700, 500,
400 and 300
hPa (wyoming,
GFS or others)
Meteoblue products
Foreseen potential
- In this hackathon, we identify the
convenience to development a Zonda
Forcast
- Different indixes or coefficients of each
type of agricultural production in other
place, can be used to generate maps such
as those developed in this hackathon
- All scripts were create under euxdat
Conclusiones:
- High potential for the use of meteorological and soil data to
apply to diferente agricultural productions (specific index).
- Limitactions of reanalysis models.
- The need to develop a common language for data management
between diferente research disciplines was identified into our
team.
- Hackathon is a Good place to motivate students and
researchers.
Thanks:
- UNSJ
- University of West Bohemia
- To the rest of the participating teams

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Hackathon Idea for Improving Climate Data Access in Agriculture

  • 1.
  • 2. Idea for Hackathon Participate in a challenging activity under couching of specialists in the use of climatic and soil data. Test our abilities, skills and contribute with local knowledge on the topics. Sharing experiences and networking.
  • 3. Lack of data & Acces Lack of knowledge about climate variables in agricultural community Improvement of tools and products for agricultural and government entities Down to ground Where we make available to agricultural producers and government entities a tool that use free sofware, free data and products that can alert producer about weather conditions and complement the servicies of INTA – SMN, others
  • 4.
  • 6. We select a Grape production for fine wine, to aplly diferrent indexes, i.e. Integral Térmica Activa de Winkler ITW = Σ (Tmd – 10 ºC) x días del mes.1 Sept 31 Mar
  • 7. We select a Grape production for fine wine, to aplly diferrent indexes, i.e. Coeficiente Hidrométrico de Zuluaga CH= Σ (Tmm x mm lluvia)/PLH1 Sept 31 Mar
  • 8. We select a Grape production for fine wine, to aplly diferrent indexes, i.e. ITW + CH
  • 9. Correlation between reanalysis data with sensor data. Errors. R-squared 0.626 BIAS 1.107986813 RMSD 3.923062333 R-squared 0.577 BIAS -0.232598025 RMSD 3.400398529
  • 10. Air T & H
  • 11. Air T & H vs. Soil T & Water Potencial
  • 12. Identify Zonda Wind Events (IZWE)
  • 13. Data input for Zonda index - T and Td at 850, 700, 500, 400 and 300 hPa (wyoming, GFS or others) Meteoblue products
  • 14. Foreseen potential - In this hackathon, we identify the convenience to development a Zonda Forcast - Different indixes or coefficients of each type of agricultural production in other place, can be used to generate maps such as those developed in this hackathon - All scripts were create under euxdat
  • 15. Conclusiones: - High potential for the use of meteorological and soil data to apply to diferente agricultural productions (specific index). - Limitactions of reanalysis models. - The need to develop a common language for data management between diferente research disciplines was identified into our team. - Hackathon is a Good place to motivate students and researchers.
  • 16. Thanks: - UNSJ - University of West Bohemia - To the rest of the participating teams