Announced
14/12/20249 days ago
Job Status
Full Time
Job Type
Employee
Expiration Date
26/12/2024 3 days left
Job Location
Job Title
Sr. Programme Associate (Meteorologist)Work At
World Food Programme
Kathmandu
Kathmandu
Job Presentation
- Ensure the requirements of monitoring satellite-based rainfall estimates from various satellite platforms (real and near-real time) and its operations in detecting extreme rainfall events.
- Provide specialized expertise and contribute to preparing a blended product that combines satellite-based rainfall estimates (with in-situ observations, using appropriate algorithms and methodologies taking into account their strengths and weaknesses.
- Plan and implement testing and evaluation of the accuracy and reliability of the blended product on hourly, daily, monthly, seasonal, and yearly scales over the whole Nepal, and at grid-to grid scale.
- Apply quantification any identification of biases in the blended product, using statistical methods and analyze and apply appropriate bias correction and calibration approaches to both precipitation monitoring products to enhance the confidence and skill of the products.
- Ensure integration of observational data into existing weather models to improve forecast accuracy.
- Support in assessing performance of weather forecasting models by comparing with observed data.
- Contribute towards statistical bias correction techniques to adjust model outputs and reduce systematic errors.
- Prepare multi-model ensemble for probabilistic forecasting. eg1gy37 BIpnb
- Provide efficient coordination and specialized support to review, identify and test different indices for monitoring drought, heatwave, cold wave, and flood, and provide early warnings.
- Act as an escalation point to analyze spatial and temporal trends to predict and assess exceptionally heavy precipitation at grid scale for different time resolutions linked to multi-hazards.
- Provide specialized support to test the blended product with relevant stakeholders, including government agencies, DRM stakeholders, and other decision-makers, and incorporate additional features into the final product.
- Prepare operational manual and conduct hands-on training to DHM officials for operational use to implement automated rainfall-based multi-hazard monitoring system.
- Perform duties as required.
Experience::
- 7 years of relevant experience in running numerical weather models, monitoring satellite rainfall estimate and analyzing indices for hazard monitoring with programming language applications.
- Has participated in implementing technical Programme.
- Has implemented Programme with increased level of responsibility.
- Has provided input to policy discussions
Knowledge & Skills: Strong analytical and technical skills, with experience in data collection, analysis, and visualization with proficiency in programming languages such as R, CDO, GEE and Python is preferred.
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