Python framework for short-term ensemble prediction systems.
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
Forecast Verification/Validation Tools in Python
Predicting where India's medium-range weather forecasts will bust, district by district, and explaining why. XGBoost + SHAP + FastAPI + React, served for $0. SIH 2026 PS 26079 (Ministry of Earth Sciences).
A verification pipeline for evaluating models and forecasts.
Interactive Streamlit dashboard to verify gridded rainfall/precipitation forecasts (deterministic & ensemble, NetCDF + GRIB2) against observations — POD/FAR/CSI/ETS/HSS, EDI/SEDI/EDS/SEDS, Brier/BSS/CRPS, FSS & CRA, reliability/ROC/rank/PIT/Taylor plots, per-cell score maps, bootstrap CIs, CSV/PNG export. Runs on bundled demo data.
Climate Signals: frozen rare-extreme climate conditions (ENSO, drought, Atlantic and Pacific modes) scored forward against markets, plus a registered paper-portfolio experiment. Live counterpart of Paper 17.
Verification of spatial-structure in ensembles of forecast fields
Evaluation framework for precipitation nowcasting: radar extrapolation, NWP, and blends
Ensemble forecast verification in Python using reliability diagrams for streamflow data.
Radiación solar: IFS y AIFS frente a 34 estaciones SiAR. Resultados, sensibilidad de escala y reproducción sin red.
Temporal adaptation of the gamma index for time series forecast evaluation under joint amplitude and timing tolerances, with applications to renewable energy forecasting.
Daily day-ahead forecasts for European power (DE-LU and Spain: wind, solar, load, price), scored the next day against the TSO's own forecast and persistence. Every file timestamped with OpenTimestamps, nothing edited after the fact.
Public evidence slice of Solstitium's daily climate-forecast record: forecast-outcome verification pairs, model bakeoff, index term sheets, and OpenTimestamps-sealed daily anchors.
Do published probabilistic forecasts hold up when you score them? Pre-registered verification of NWS precipitation, AirNow air quality, and CAISO day-ahead power prices — one scoring toolkit, three domains.
Adaptive multi-model weather forecast blending: learns which NWP or AI model to trust by region, lead time, season and weather regime, with uncertainty, IMD-aligned extreme guidance and honest verification. SIH 2026 · SIH26081 · MoES.
Config-driven forecast verification for NWP and AI weather models
A stock model that gained 99% in a walk-forward backtest lost 24% in an 11-week frozen live paper test. Code, data and a reproducible statistical post-mortem: block bootstrap, rank IC, calibration, multiple testing, pseudo-replication.
Reproducible code, data and results for a verification study of monthly temperature forecasting in the Peruvian Altiplano: multiple linear regression, random forest and a multilayer perceptron tested against climatology and persistence, replicated across eleven independent series
Offline space-weather evidence, UTC data quality, leakage-aware forecast verification and accessible analysis by Jason Stys
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