Numerical weather prediction technology plays an increasingly important role in improving
accuracy and service level of modern weather forecast. With the development of observation …

当前, 人工智能迎来第3 次发展浪潮并在多个领域大数据分析中取得巨大成功,
这为人工智能技术与数值天气预报结合提供了契机. 已有大量研究尝试将人工智能技术用于数值 …

Decadal prediction, also known as “near-term climate prediction”, aims to forecast climate
changes in the next 1–10 years and is a new focus in the fields of climate prediction and …

Building the physics-driven mechanism model has always been the core scientific paradigm
for parameter estimation in Earth surface systems, and developing the data-driven machine …

Solar-induced chlorophyll fluorescence (SIF) is an intuitive and accurate way to measure
vegetation photosynthesis. Orbiting Carbon Observatory-2 (OCO-2)-retrieved SIF has shown …

Accurate and timely weather prediction is of significance for autonomous vehicles, such as
designing more appropriate sensors or other configurations and developing safer driving …

Advances in data assimilation (DA) methods and the increasing amount of observations
have continuously improved the accuracy of initial fields in numerical weather prediction …

The accuracy of simulation-based forecasting in chaotic systems is heavily dependent on
high-quality estimates of the system state at the beginning of the forecast. Data assimilation …

Weather forecasts serve to incline individual behaviors and interactions, commercial
intentions and organizational efforts. A normal user is usually indifferent to weather statistics …

Data assimilation (DA) is an essential issue for operational prediction centers, where a
computer code is applied to simulate physical phenomena by solving differential equations …