Subseasonal Weather Forecast Intelligence for Energy Trading Desks

Subseasonal weather forecast analytics built for energy meteorologists on power and gas trading desks.

See Weeks Ahead

Anticipate weather risk before the market prices it in.

Track Climate Drivers

Monitor the climate drivers shaping subseasonal market risk.

Spot Weather Regime Changes

Communicate clear weather forecast signals with weather regime patterns.

Trade with Confidence

Find asymmetric weather-based risk trading opportunities.

Subseasonal Tools for Energy Meteorologists

Subseasonal Weather Regimes

Simplify complex ensemble forecasts into clear subseasonal forecast signals for key weather patterns that your traders can act on.

Climate Index Forecasts

Monitor a wide range of climate indices, including MJO & SPV, driving subseasonal power and gas risk to position the trading desk ahead of forecast pattern shifts.

Calibrated Model Forecasts

Trade upcoming outlier market impacts, such as Dunkelflaute events, with the confidence that reliable probabilistic subseasonal forecasts provide.

Subseasonal Climate Index Analogs

Prepare a forecast of the future based on climate index conditions that have happened in the past. Compare analog signals to subseasonal weather forecast signals.

Hovmöller Diagrams

Visualize how climate anomalies propagate across latitude and longitude over time to reveal coherent subseasonal signals that will impact energy markets in the days to come.

Historical U10/60°N Forecasts

Compare the current forecast to our archive of sudden stratospheric warming forecasts since 2008.

Climate Index Monitoring

Trace recent climate index evolution against historical patterns to anticipate subseasonal pattern shifts.

Polar Cap Height

Track the time-height evolution of polar cap anomalies to diagnose SPV strength, coupling likelihood, and the longitude of downstream impacts.

Climate Index Data

Download daily and monthly climate index data the desk turns into research, briefings, and systematic signals.

From Predictability Signal to Winning Weather-Based Trades

Manage Risk and Opportunity

Manage weather-driven demand risk and opportunity in power and natural gas markets across the 2-6 week forecast lead time.

Gauge Signals and Confidence

Analyze nuances in subseasonal forecast signals to identify scenarios that will influence power and gas market risk.

Build Profitable Strategies

Leverage your subseasonal weather forecast analytical edge to enable your desk to make well-informed weather-based trading decisions.

Inside Each Subseasonal Tool

Subseasonal Weather Regimes

Translate North America and Europe circulation regimes to demand, supply, and price risks.

2Regime Regions
4Models
Daily Runs
6Lead Weeks
  • Read the likely state of the North America and Europe atmosphere as one interpretable pattern.
  • Anchor every trader briefing in historically recognizable regimes, not opaque cluster labels.
  • Click any regime bar to reveal the matching ensemble anomaly pattern for that regime.
  • Compare run-to-run regime shifts to gauge model confidence in pattern persistence.

Implementation of the Grams et al., 2017 Atlantic-European 7 regime scheme.

Climate Index Forecasts

Subseasonal climate index model forecasts and impact maps.

15Climate Indices
5Models
6Map Variables
4Lead Weeks
  • Anticipate NAO, AO, PNA, and stratospheric shifts that move power and gas market prices.
  • Compare multi-model guidance to gauge confidence in pattern transitions.
  • Pair index forecasts with our analytical climate index analog tool.
  • Track the stratospheric polar vortex as the signal propagates downward.

Calibrated Model Forecasts

Calibrated multi-model dynamical forecast maps for weeks 1-6.

5Models
8Forecast Variables
6Lead Weeks
7Region Views
  • Anticipate weeks 2-6 weather risk before the market prices it in.
  • Communicate the likelihood of specific events with reliable forecasts.
  • Compare ECMWF, GEFS, CFSv2, and JMA multi-model output to gauge confidence.
  • Step through Lead Weeks 1-3 to 4-6 to track how the subseasonal signal evolves.

Subseasonal Climate Index Analogs

Anchor your subseasonal outlook in historical analogs of today’s climate state.

7Region Views
7Weather Variables
4-StepWorkflow
DecadesOf History
  • Find historical analogs your competitors won’t.
  • Analyze how similar past states evolved to inform current trading positioning.
  • Filter by MJO phase, stratospheric polar vortex state, and teleconnections.
  • Generate composite maps and charts to defend your outlook to the desk.

Hovmöller Diagrams

Time evolution of subseasonal anomalies averaged across latitude or longitude.

7Weather Variables
7Latitude Bands
4Models
6Week Range
  • Analyze subseasonal forecast anomaly propagation through space and time.
  • Identify coherent time evolution signals with significant market impact.
  • Compare ECMWF-Ext, GEFS-Ext, CMC-Ext, and CFSv2 guidance side by side.
  • Anticipate downstream impacts from upstream pattern shifts.

Historical U10/60°N Forecasts

Benchmark today’s polar vortex forecast against the historical stratospheric archive.

2008+Archive Start
3Models
2Stratospheric Variables
AllWinter Months
  • Benchmark the current polar vortex forecast against the historical record.
  • Anticipate stratospheric warming signals that drive cold-air outbreaks.
  • Compare ECMWF, GEFS, and CFSv2 guidance against archived forecast evolution.
  • Defend your SPV forecast with historical context available only from WCS.

Subseasonal Climate Index Monitoring

Monitor recent climate index trajectories alongside their historical climate patterns.

15Climate Indices
6Weather Variables
12Seasonal Windows
RecentTrajectory View
  • Track the recent evolution of MJO, NAO, AO, PNA, and stratospheric indices.
  • See the climate patterns historically tied to today’s index trajectory.
  • Anticipate downstream market impacts from observed index trends.

Polar Cap Height

Time-height view of polar cap anomalies revealing stratosphere-troposphere coupling.

4Cross-Section Views
9Models
2Weather Variables
1950+History
  • Analyze the time-height evolution of polar cap anomalies in one diagram.
  • Anticipate stratosphere-troposphere coupling events before your competitors.
  • Compare GFS, GEFS, ECMWF, CMC, and extended-range model guidance.
  • Benchmark current evolution against historical analog events back to 1950.

Climate Index Data

Historical daily and monthly climate index archive ready to download.

26Daily Indices
36Monthly Indices
4Export Formats
FullHistory
  • Anchor research and trader briefings in the same long-history data.
  • Compare consistently calculated, widely used indices.
  • Download the daily and monthly climate indices the desk relies on.
  • Chart recent index evolution to share with the desk in seconds.
  • Export ready-to-use CSV, PNG, JPEG, or PDF for downstream workflows.

Built for Energy Meteorologists on Power and Natural Gas Desks

17+ Years Built for Trading Desks

Refined continuously through direct engagement with the energy meteorologists and quants on power and gas trading desks.

Calibrated Probabilistic Forecasts

Subseasonal weather forecast uncertainty made explicit, not hidden behind a single deterministic number.

A Single Subseasonal Forecast Platform

Comprehensive platform bringing multiple subseasonal forecasting methods together to enable an analytical edge for energy meteorologists on a power or gas trading desk.

Energy Trading Focus

Unlike platforms built for every market, World Climate Service subseasonal tools are built solely for energy meteorologists on power and gas trading desks.

Make Subseasonal Forecast Decisions with Confidence.

Translate weeks 2-6 weather forecast signals into clearer trading desk briefings.