# Release Notes This document outlines the features and improvements included in each release of the Jua platform. ## Latest Release 2.9.2025 ### Jua EPT-2.0 Rapid Refresh (Research Preview) * **Hourly Updated Global Model** - Released **Jua EPT-2.0 Rapid Refresh**, a research preview global weather model updated **24 times a day (every hour)** with **direct satellite observations**. * **Industry First** - Unlike existing numerical and AI weather models (which update only 4 times a day using numerically assimilated conditions), Rapid Refresh provides real time updates and high accuracy. ### 60-Day Ensemble Forecast EPT2e * **New Long-Range Forecasting** - Introduced a **60-day probabilistic ensemble forecast** that outperforms the ECMWF Ensemble Mean (EC Ens). * **Daily Updates** - Forecasts are updated **every day** by default, with the option for **more frequent updates upon request**. * **Paradigm Shift** - Fully probabilistic and designed for long-horizon decision-making, setting a new standard in ensemble-based forecasting. ### Jua Maps: Next-Generation Visualization * **Browser-Based Visualization Platform** - Launched **Jua Maps** in the Jua platform, providing a high-performance tool for exploring and animating weather data. * **Interactive Weather Layers** - Supports visualization of **wind, precipitation, temperature, geopotential, isobars, pressure, and cloud coverage**. * **Model Coverage** - Available for **Jua EPT-2, EPT-1.5, EPT-1.5 Early, ECMWF AIFS, and Microsoft Aurora**. * **Fast & Performant** - Built for responsive, smooth animation and exploration directly in the browser. ### Jua Market Aggregates 2.0 * **Expanded Energy Forecasting Tools** - Released an updated version of **Jua Market Aggregates** with capacity-weighted **wind and solar forecasts**. * **Cross-Model Comparisons** - Covers all Jua models and major third-party models including **EC, EC Ens, GFS, ICON, AIFS**, and more. * **Advanced Analytics** - New tools include **graphs, deltas, disagreements, and heatmaps**, enabling deeper analysis of market impacts from weather variability. ## Release 29.6.2025 ### Platform Accessibility & Enhanced User Experience This release focuses on making the Jua platform more accessible to new users while expanding model availability and improving forecast visualization capabilities. ### Self Sign-Up & Simplified Access * **Self Sign-Up Enabled** - Users can now create accounts independently without requiring manual approval, streamlining the onboarding process for new customers and trial users * **Usage-Based Pricing with Tokens** - Introduced a usage-based pricing option based on tokens (like LLM tokens), providing a more flexible and transparent cost structure for API consumption * **Token Usage Calculator** - Added a built-in calculator that helps users estimate API consumption costs and track usage patterns before committing to API calls ### Improved User Onboarding * **Guided Onboarding Flows** - New users are now guided through interactive tutorials that demonstrate key platform features, model selection, and basic forecasting workflows * **Progressive Feature Discovery** - The onboarding process introduces advanced features gradually, helping users understand the platform's capabilities without overwhelming them initially ### EPT-2e Ensemble Model Deployment * **EPT-2e Ensemble Forecasts** - Deployed our probabilistic ensemble version of EPT-2, providing uncertainty quantification and confidence intervals for all forecasts * **Ensemble Statistics** - Full statistical analysis available across the dashboard, Python SDK, and API endpoints, including percentiles, standard deviation, and confidence bands * **Updated Documentation** - Comprehensive documentation updates explaining ensemble interpretation and best practices for probabilistic forecasting in energy trading applications ### Enhanced Forecast Visualization & Control * **Historical Initial Conditions** - Users can now select any forecast initialization time from the past 36 hours, enabling comparison of how forecasts evolved and analysis of forecast consistency over multiple model runs * **Live vs. Cached Forecasts** - Toggle between the latest available forecast and any cached forecast from recent initialization times, perfect for tracking forecast changes and model performance * **Dynamic Confidence Bands** - Interactive confidence interval visualization that adjusts based on selected ensemble percentiles, providing visual uncertainty quantification for any forecast period ### Expanded Model Portfolio * **EPT-2 Early Model** - Deployed the early-release version of EPT-2 that provides forecasts 2.5 hours ahead of the standard EPT-2 timeline, crucial for time-sensitive trading decisions * **Microsoft Aurora Integration** - Added Microsoft's state-of-the-art Aurora AI weather model to the platform, providing additional model diversity for ensemble-based decision making * **ECMWF AIFS Platform Access** - ECMWF's Artificial Intelligence Forecasting System is now fully integrated into the platform interface, complementing existing API access ### User Experience Improvements * **Global Timezone Settings** - Users can now set their preferred timezone in account settings, with all timestamps and forecast displays automatically adjusted to their local time zone, eliminating confusion around UTC conversions ## Release 25.4.2025 ### New Flagship EPT-2 Model & Power Trading Analytics This release introduces our new state-of-the-art EPT-2 model and the first version of Jua power trading analytics. ### EPT-2: Our New Flagship Model * **EPT-2** - State-of-the-art weather model outperforming leading public AI weather models including Microsoft Aurora, DeepMind's GraphCast, ECMWF's AIFS, and our previous EPT-1.5 model * **Hindcasts for EPT-2** - Historical forecast data available for performance analysis and evaluation * **Hindcasts for ECMWF AIFS** - Historical forecast data now available for ECMWF's AI model ### Power Trading Analytics (Beta) The first version of Jua power trading analytics is now available for selected beta users, including: * **Power Forecasts** - Energy production forecasting based on weather data * **Capacity Analysis** - Renewable energy capacity insights and predictions ## Release 12.3.2025 ### New weather models & API enhancements The latest release significantly expands the available weather models and enhances the API functionality. ### Available Weather Models The following models are now available through both the platform interface and API: * **ECMWF Operational** - ECMWF IFS HRES model, often referred as ops * **ECMWF Ensemble Mean** - Average of multiple ECMWF IFS Ensemble runs * **ECMWF AIFS** - EC's new AI model * **GFS** - Global Forecast System from NOAA * **GFS Ensemble Mean** - Average of multiple GFS ensemble runs * **AROME France HD** - Model from France Meteo * **ICON-EU** - Model from DWD - Deutscher Wetterdienst ### Enhanced API Endpoints The second release introduces the `init_time` parameter, allowing users to query forecasts from specific model initialization times. This enables: **GET /v1/forecasting/model\_name/forecasts/init\_time**\ Retrieves forecast metadata for a specific model initialization time. ```http GET /v1/forecasting/ecmwf-operational/forecasts/20240310T000000Z ``` * Historical forecast comparison * Forecast accuracy analysis over time * Access to specific model runs for research or operational purposes Format: `YYYYMMDDTHHMMSSZ` (ISO 8601 format with Z indicating UTC time) ### Using the New Models To access the newly added weather models, simply specify the model name in your API requests: {% tabs %} {% tab title="REST API Examples" %} ```http # ECMWF Operational GET /v1/forecasting/ecmwf-operational/forecasts/latest/47.37,8.54 # ECMWF Ensemble Mean GET /v1/forecasting/ecmwf-ensemble-mean/forecasts/latest/47.37,8.54 # GFS GET /v1/forecasting/gfs/forecasts/latest/47.37,8.54 # ECMWF AIFS GET /v1/forecasting/ecmwf-aifs/forecasts/latest/47.37,8.54 # GFS Ensemble Mean GET /v1/forecasting/gfs-ensemble-mean/forecasts/latest/47.37,8.54 # AROME France HD (regional model) GET /v1/forecasting/arome-france-hd/forecasts/latest/48.85,2.35 # ICON-EU (European regional model) GET /v1/forecasting/icon-eu/forecasts/latest/52.52,13.40 ``` {% endtab %} {% endtabs %} ## Initial Release of Jua Platform ### First deployment of new home of Jua data, analytics & tools #### The initial release of the Jua platform included: * Launch of the main application at **app.jua.ai** * Introduction of core platform features: * Weather forecast visualization interface * Comparison of forecasts from multiple models * Location-based weather data retrieval * Customizable forecast parameters ### Key Features * **/benchmarking** - Performance comparison against ERA5 reanalysis data * **/documentation** - Comprehensive API and usage documentation * **/legal** - Terms of service and legal information * **/forecast** - Interactive REST API testing tool ### Forecast Interface The forecast interface allows users to: * Select locations through search or from preset city options * Configure forecast horizons (up to 480h) * Choose from multiple weather models * View customizable parameters (temperature, precipitation, etc.) * Compare model performance live through interactive charts --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.jua.ai/release-notes.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.