I design early-warning and anticipatory-action systems for Bangladesh — translating meteorological forecasts into hazard-specific, location-specific triggers that funders, humanitarian actors, and communities can act on ahead of time.
I work on crisis anticipation and disaster risk financing with Start Network Bangladesh and FOREWARN Bangladesh, hosted by ESDO — contributing to programmes including Start Fund Bangladesh (SFB) and Disaster Risk Financing (DRF).
My work sits at the intersection of operational meteorology, climate data engineering, and decision-support design: multi-hazard threshold frameworks, ensemble forecast pipelines, cascading-impact models, and the dashboards and briefs that put them in front of the people who need to act.
Systems built end-to-end — from raw NWP/reanalysis data to the thresholds, dashboards, and briefs that decision-makers actually use.
A WMO-aligned, multi-hazard impact-based warning system covering 600 upazilas, blending four NWP ensembles across 13 variables into an operational risk dashboard.
Maps hydro-meteorological events through primary and secondary hazard chains to sector-level impacts and early actions — piloted for Chattogram District.
35 years of reanalysis climatology (1990–2025) for 600 upazilas, with derived heat-stress variables including WBGT, feels-like temperature, and relative humidity.
For humanitarian organisations, funders, and researchers building or evaluating early-action systems.
Threshold frameworks, trigger design, and dashboard architecture for impact-based forecasting programmes.
Trigger mechanisms, seasonal advisories, and climate finance positioning for anticipatory action funding.
Structured technical review of vulnerability assessments, evaluation frameworks, and inception reports.
Training material and walkthroughs on impact-based forecasting concepts and the technical pipelines behind them.
Warning → Impact-Based → Impact Forecasting paradigms, translated with precise Bengali/English terminology for upazila-level decision-making.
A tutorial series on building an hourly BMD SYNOP data pipeline with Google Apps Script, from decompression to structured sheets.
A hands-on walkthrough of pulling and processing ERA5-Land reanalysis data for hazard climatology at scale.
Subscribe for walkthroughs on forecasting systems, climate data pipelines, and anticipatory-action concepts.
How four NWP ensembles, thirteen variables, and a WMO 4×4 risk matrix come together into one operational dashboard.