Call for Papers — iRAD 2027

Thrust Areas

Choose the area that best matches your work when submitting.

Weather Radar Tech, Calibration & Electromagnetism

Radar hardware, wave propagation and scattering, and the calibration practice that makes measurements comparable between sites.
Operational Radar Networks & Data Processing

Running radar networks at national scale: quality control, clutter suppression, compositing and the processing chains behind operational products.
Applications in Meteorology, Hydrology & Urban Planning

Putting radar output to work in flood forecasting, catchment hydrology, urban drainage design and disaster response.
Unravelling Tropical Monsoons & Extreme Weather

Monsoon dynamics and extreme events over the tropics, where convection is deep, fast and still poorly constrained by observation.
Quantitative Precipitation Estimation (QPE)

Turning reflectivity into rainfall: retrieval algorithms, gauge adjustment, and the error structure of radar rainfall estimates.
Microphysical Studies & Dual-Polarization

Drop size distributions, hydrometeor classification and the microphysical insight that dual-polarization variables make accessible.
Severe Weather & Storm Electrification

Squall lines, hail, tornadic signatures and lightning, and what radar reveals about the charge structure of convective storms.
Radar Data Assimilation for NWP Models

Ingesting radial velocity and reflectivity into numerical models, and the observation operators and error covariances that assimilation requires.
Airborne & Spaceborne Radar Platforms

Precipitation and cloud radars flown on aircraft and satellites, and how their sampling complements ground-based networks.
Millimeter Wavelength Cloud Radars

Ka- and W-band observation of cloud structure, boundary-layer processes and the thin hydrometeors longer wavelengths miss.
ST & MST Radars / Wind Profiling Radars

Continuous wind and turbulence profiling through the troposphere and above, including the 205 MHz ST Radar celebrating a decade of operation.
AI/ML Techniques in Radar Data Applications

Machine learning for nowcasting, quality control, echo classification and the emerging use of learned models alongside physical retrievals.