Subseasonal to Seasonal Weather Forecasts for Commodity Traders, Producers, and Grid Operators

Salient delivers reliable, calibrated, probabilistic forecasts for temperature, precipitation, HDD, CDD, wind, solar, and other weather variables 52 weeks ahead using a novel AI/machine learning architecture.

Companies that routinely make weather-related decisions over extended timescales and diverse geographic locations can benefit greatly from Salient's forecasts, which deliver greater accuracy and reliability than alternatives.

Our customers include hedge funds, utilities, banks, and energy majors—anyone who wants to better anticipate energy demand and renewable energy supply.

This listing provides a subset of Salient's data for testing:
- Timescales: Subseasonal (1 - 5 week lead times)
- Location: US & Europe (25 x 25 km gridded spatial resolution)
- Variables: Temperature, precipitation
- Time Coverage: 2020-2023

Salient’s complete product suite offers:
- Historical and real-time forecasts
- Timescales: Hourly, daily, subseasonal (1 - 5 weeks), seasonal (1 - 3 months), long-term (quarterly - 1 year)
- Location: Globally available (gridded 25 x 25 km spatial resolution, and point specific latitude/longitude)
- Variables: temperature, precipitation, hdd, cdd, wind, solar, and many more derived variables

搜集汇总

背景与挑战

背景概述

该数据集提供亚季节到季节尺度的天气预测，涵盖2020-2023年美国及欧洲区域的温度和降水变量，采用网格化格式，旨在为能源和商品行业用户提供高准确度的决策支持。其预测服务基于AI技术，可帮助客户更好地预判能源需求和可再生能源供应。