Government-Standard Climate Simulation: Impact of Water Body Reactivation in Saudi Arabia
Budget: $1,000 – $5,500 USD
Government-Standard Climate Simulation: Impact of Water Body Reactivation in Saudi Arabia
We are seeking an expert in climate modeling and numerical weather prediction to conduct a high-fidelity climate simulation assessing the impact of refilling coastal and inland sabkhas (salt flats), endorheic basins (playa lakes), and dry riverbeds (wadis) on Saudi Arabia’s climate.
? This simulation is not a research study but a fully operational climate model, intended for presentation to Saudi government officials. It must adhere to scientific credibility standards and use advanced climate simulation techniques.
Scope of Simulation:
The simulation should numerically model and forecast how restoring these water bodies affects:
- Rainfall patterns across Saudi Arabia.
- Temperature changes in desert regions.
- Evaporation-driven atmospheric moisture increase and its effect on cloud formation.
- Shifts in wind patterns and coastal humidity reduction, particularly along the Red Sea and Arabian Gulf.
Technical Requirements:
- Use Global Climate Models (GCMs) and/or Regional Climate Models (RCMs) such as WRF, RegCM, CESM, or similar high-resolution climate modeling software.
- Incorporate historical climate data, atmospheric circulation patterns, and hydrological parameters to produce reliable outputs.
- Simulate multi-seasonal and long-term effects (e.g., 1-year to 10-year projections).
- Provide high-resolution outputs in NetCDF, GRIB, or similar climate data formats for visualization and analysis.
- Include data visualizations such as precipitation anomaly maps, temperature trends, wind flow simulations, and humidity distribution models.
Expected Deliverables:
1. Fully executed climate simulation dataset, including raw model output files.
2. Comprehensive climate impact report formatted for government policy discussions, including key findings on rainfall increase, temperature shifts, and humidity balance.
3. Graphical outputs of simulation results, including animated weather projections, spatial maps, and precipitation probability charts.
4. Documentation on methodology, datasets used, and model configuration for transparency and reproducibility.
Candidate Qualifications:
- Strong background in climate simulation, atmospheric modeling, and computational fluid dynamics (CFD).
- Experience using high-performance computing (HPC) environments for running large-scale climate models.
- Proficiency in Python, R, MATLAB, or Fortran for climate data analysis.
- Ability to deliver scientifically validated results suitable for government presentation.
Important Notes:
? This simulation will be reviewed by Saudi policymakers and climate specialists. We require a high-accuracy, validated climate model that adheres to official environmental and meteorological standards.
? Budget: Negotiable based on expertise and project scope.
? Duration: 4 - 8 weeks, depending on the complexity of the simulation.
? Application Requirement:
- Previous experience in climate modeling for governmental or large-scale environmental projects.
- Examples of prior simulations with relevant visualizations and data outputs.
We are seeking an expert in climate modeling and numerical weather prediction to conduct a high-fidelity climate simulation assessing the impact of refilling coastal and inland sabkhas (salt flats), endorheic basins (playa lakes), and dry riverbeds (wadis) on Saudi Arabia’s climate.
? This simulation is not a research study but a fully operational climate model, intended for presentation to Saudi government officials. It must adhere to scientific credibility standards and use advanced climate simulation techniques.
Scope of Simulation:
The simulation should numerically model and forecast how restoring these water bodies affects:
- Rainfall patterns across Saudi Arabia.
- Temperature changes in desert regions.
- Evaporation-driven atmospheric moisture increase and its effect on cloud formation.
- Shifts in wind patterns and coastal humidity reduction, particularly along the Red Sea and Arabian Gulf.
Technical Requirements:
- Use Global Climate Models (GCMs) and/or Regional Climate Models (RCMs) such as WRF, RegCM, CESM, or similar high-resolution climate modeling software.
- Incorporate historical climate data, atmospheric circulation patterns, and hydrological parameters to produce reliable outputs.
- Simulate multi-seasonal and long-term effects (e.g., 1-year to 10-year projections).
- Provide high-resolution outputs in NetCDF, GRIB, or similar climate data formats for visualization and analysis.
- Include data visualizations such as precipitation anomaly maps, temperature trends, wind flow simulations, and humidity distribution models.
Expected Deliverables:
1. Fully executed climate simulation dataset, including raw model output files.
2. Comprehensive climate impact report formatted for government policy discussions, including key findings on rainfall increase, temperature shifts, and humidity balance.
3. Graphical outputs of simulation results, including animated weather projections, spatial maps, and precipitation probability charts.
4. Documentation on methodology, datasets used, and model configuration for transparency and reproducibility.
Candidate Qualifications:
- Strong background in climate simulation, atmospheric modeling, and computational fluid dynamics (CFD).
- Experience using high-performance computing (HPC) environments for running large-scale climate models.
- Proficiency in Python, R, MATLAB, or Fortran for climate data analysis.
- Ability to deliver scientifically validated results suitable for government presentation.
Important Notes:
? This simulation will be reviewed by Saudi policymakers and climate specialists. We require a high-accuracy, validated climate model that adheres to official environmental and meteorological standards.
? Budget: Negotiable based on expertise and project scope.
? Duration: 4 - 8 weeks, depending on the complexity of the simulation.
? Application Requirement:
- Previous experience in climate modeling for governmental or large-scale environmental projects.
- Examples of prior simulations with relevant visualizations and data outputs.