PREDICT. PROTECT. PERFORM.
Purpose-built numerical weather models engineered for critical operations.
PRECISION FORECASTING. ENGINEERED FOR OPERATIONS.
Meteo Centar engineers high-resolution numerical weather models and deploys operational forecasting systems for organizations where atmospheric conditions drive critical decisions.
Since 1998, we have built, tuned, and delivered custom NWP solutions across maritime, energy, infrastructure, and environmental sectors throughout Croatia and the wider Adriatic region.
Flagship Technology
WRF-EXTREME
Our frontier, proprietary fork of the Weather Research and Forecasting model — re-engineered from the inside out for best-in-class accuracy in complex terrain and severe weather environments.
WRF-EXTREME is the result of years of deep, hands-on modification of core WRF components. We don't just configure the model — we rewrite it. Pioneering modifications span every major physics layer: boundary layer parameterizations with built-in cold air drainage, a breakthrough sigma-coordinate correction that eliminates spurious warming in valleys, full 7-species microphysics-radiation coupling, terrain-aware snow initialization, and enhanced 2-metre diagnostics. Every change targets a known, specific failure mode of the standard WRF — and together they deliver a step-change in forecast accuracy for mountainous and coastal regions.
Coordinate Correction Engine
A breakthrough budget-based module that diagnoses and corrects the spurious warming caused by sigma-coordinate terrain-following levels over stable nocturnal boundary layers in valleys and basins — a long-standing, fundamental WRF weakness. Uses Topographic Position Index (TPI) and Richardson number gating to self-activate only where and when the error is present, and self-deactivates on flat terrain, during unstable conditions, and in strong wind events.
Cold Air Drainage Flows
Pioneering katabatic drainage parameterization embedded directly into both YSU and MYNN PBL schemes. Models nocturnal cold air pooling in valleys that standard WRF completely ignores — gated by inversion strength, wind speed, surface temperature, and TPI-derived basin geometry. A capability no stock WRF configuration has.
Full-Spectrum Radiation Coupling
Extended WSM7 microphysics to compute effective radii for all 7 hydrometeor species — rain, graupel, and hail now feed directly into the Goddard radiation scheme alongside cloud water, ice, and snow. Added cloud optical depth floor and pressure-level scale factors to eliminate thin-cloud radiation biases. The result: physically consistent shortwave and longwave fluxes across the full precipitation spectrum.
Terrain-Aware Snow Init
Fixes a known problem with global model initialization: IFS/ECMWF encodes glacier ice as snow depth, and coarse-resolution snow fields miss valley-to-peak gradients. Our seasonal snow cap removes glacier artifacts hemisphere-aware, while TPI + elevation-based redistribution shifts snow from valleys to peaks — critical for surface energy balance and near-surface temperature accuracy from hour zero.
Coastal SST Decontamination
A dedicated pre-processor that eliminates a systematic coastal SST bias before the model even starts. When WRF's grid (1.8–5.4 km) is finer than the driving model (e.g. ICON-EU ~6.5 km), metgrid's bilinear interpolation bleeds land skin temperature into coastal water points — shifting the sea surface temperature by several degrees. Our KD-tree-based spatial correction detects contaminated points via the LANDSEA fraction field, replaces them with the nearest clean open-water SST, and automatically skips inland lakes. Runs in-place on met_em files between metgrid and real.exe — zero contamination from hour zero.
Reworked PBL Physics
Deep modifications to both YSU and MYNN-EDMF boundary layer schemes. Subgrid terrain drag (topo_wind) ported to MYNN for the first time. Dynamic friction velocity floor over snow-covered ridges prevents surface decoupling. Moisture-heat entrainment coupling reworked. Both schemes now share the same terrain-aware capabilities — a first in WRF.
Enhanced T2 & SST Diagnostics
Physics-based 2-metre temperature diagnostic with wind-speed and stability-dependent mixing, adjustable bias, and temporal smoothing to eliminate timestep-to-timestep noise. Tunable cool-skin and warm-layer SST coefficients for accurate sea surface representation. These are not post-processing tricks — they are inline corrections that feed back into the model state.
Runtime State Monitor
A specifically developed state-monitoring module that continuously tracks the model's internal fields during integration, detects deviations from a physically consistent state, and corrects errors before they have a chance to propagate and degrade the modelled solution. This ensures physical self-consistency throughout the entire simulation — and for you, that means a more accurate forecast.
WRF-EXTREME is not a configuration — it is a fundamentally re-engineered atmospheric model built on thousands of hours of code-level modifications to the WRF core. Every patch targets a specific, documented failure mode of the standard model.
PBL and surface-layer accuracy in complex terrain
! Terrain modulation
grad_term = MIN(terrain_grad_mag(i,j) &
/ grad_ref, 1.0)
basin_term = 0.0
IF (terrain_tpi(i,j) .GT. 0.0) THEN
basin_term = MIN(terrain_tpi(i,j) &
/ tpi_ref, 1.5)
ENDIF
terrain_factor = MAX(grad_term, &
basin_term)
! Stability ramp: 0→1
stab_factor = MIN((br(i,j)-ri_crit) &
/ (ri_strong-ri_crit), 1.0)
! Wind safety: strong = legit mixing
wspd10 = SQRT(u10(i,j)**2+v10(i,j)**2)
safety = MAX(MIN((wspd_safe-wspd10) &
/ 3.0, 1.0), 0.0)
! Excess PBL warming beyond LW budget
excess = MAX(pbl_warm &
+ beta*ABS(MIN(lw_cool,0.0)), 0.0)
! Apply compensating correction
correction = -alpha * excess &
* terrain_factor * stab_factor * safety
rthblten(i,k,j) = rthblten(i,k,j) &
+ correctionCommercial Product
METEOAPI.EU
A hyperlocal weather forecasting API built for professionals who operate in complex terrain across Central and South-Eastern Europe. Multi-model consensus forecasts where global APIs fail.
MeteoAPI aggregates 10+ independent NWP models — including our own WRF-EXTREME — into a single, weighted forecast via column-level statistical blending. Elevation-corrected with ETOPO2022 at 1.8 km resolution, delivering 2-3 km effective accuracy across the Alps, Adriatic, and Balkans. The system ingests 15+ model refreshes daily and serves unified hourly forecasts for up to 7 days via a fast REST API.
Multi-Model Consensus
Weighted aggregation of 10+ NWP sources — AROME, ICON-D2, ALADIN, WRF, ARPEGE, and more. No single-model risk.
26 Forecast Variables
From core parameters to probabilistic fields — snow probability, thunderstorm risk, CAPE, wet-bulb temperature, and AI-generated summaries.
Terrain-Aware
Elevation-corrected via ETOPO2022 DEM. Resolves individual valleys, mountain passes, and coastal microclimates that global APIs miss entirely.
Drop-In REST API
Open-Meteo-compatible parameter names and units. CORS-enabled, JSON response, cached at <50 ms. Start integrating in minutes.
Independent NWP models blended per forecast point
Effective resolution — valleys and microclimates resolved
Cached API response time — production-grade speed
CORE CAPABILITIES
Precision Forecast Models
Custom-built, high-resolution WRF models engineered to deliver site-specific predictions for your exact operational environment.
Deployed Monitoring Networks
End-to-end installation, calibration, and maintenance of automatic weather stations with real-time data integration.
Operational Decision Intelligence
Mission-critical forecasts engineered around your decision points in maritime, energy, construction, and environmental operations.
WHY METEO CENTAR
We don't resell global models. We engineer and deploy them for your exact location and operations.
Every model we deliver is built from the ground up — custom high-resolution NWP tuned for maximum accuracy at your operating location.
Trusted by power transmission operators, wind farm developers, leading weather portals, and forecasting professionals across the region.
| Feature | Meteo Centar | Typical Providers |
|---|---|---|
| Model Configuration | Fully custom, engineered to your requirements | Often fixed, non-disclosed |
| Local Expertise & Tuning | Models calibrated for specific local conditions | Generic or global models |
| Data Delivery | Data formatted and adapted to your workflow | Generic output — you adapt your workflow to the data |
| Customization & Support | Direct expert access, flexible engagement, hands-on collaboration | Tiered packages, rigid support structure |
| Pricing | Engineered to fit your scope and budget | High fixed pricing, non-negotiable |
* General comparison. Contact us for a detailed capability brief.
SECTORS WE SERVE
Maritime & Ports
Precision wind and wave forecasts deployed for port operations, coastal navigation, and offshore logistics.
Energy & Renewables
High-resolution models driving solar and wind production forecasts, grid balancing, and demand prediction.
Research & Infrastructure
NWP modelling for scientific research, risk assessment, project planning, and critical infrastructure development.
Tourism & Events
Targeted forecasts enabling operational decisions for outdoor events and tourism across the Adriatic.
FIELD-READY. MOBILE. OPERATIONAL.
Deploy high-resolution forecasts directly to the field with Meteocentar — built for professionals who need reliable weather intelligence on the move.