ReviewScience advances2022
The future of Earth system prediction: Advances in model-data fusion.
Review in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.
- Examining noncommunicable diseases using satellite imagery: a systematic literature review.BMC public health · 2024Pooled it
- Machine learning helps to strongly reduce future warming uncertainty.Nature communications · 2026Article
- Predicting the effects of temperature variability on nutritional status of children under five in Sub-Saharan Africa using machine learning.Scientific reports · 2026Article
- The role of artificial intelligence for early warning systems: Status, applicability, guardrails, and ways forward.iScience · 2025Article
- A data-to-forecast machine learning system for global weather.Nature communications · 2025Article
- Continuum Robots and Magnetic Soft Robots: From Models to Interdisciplinary Challenges for Medical Applications.Micromachines · 2024Review
- First application of data assimilation-based control to fusion plasma.Scientific reports · 2024Article
- Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting.NPJ climate and atmospheric science · 2024Article
- Integrating plant physiology into simulation of fire behavior and effects.The New phytologist · 2023Review
- What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health.International journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predictions of the Earth system, such as weather forecasts and climate projections, require models informed by observations at many levels. Some methods for integrating models and observations are very systematic and comprehensive (e.g., data assimilation), and some are single purpose and customized (e.g., for model validation). We review current methods and best practices for integrating models and observations. We highlight how future developments can enable advanced heterogeneous observation networks and models to improve predictions of the Earth system (including atmosphere, land surface, oceans, cryosphere, and chemistry) across scales from weather to climate. As the community pushes to develop the next generation of models and data systems, there is a need to take a more holistic, integrated, and coordinated approach to models, observations, and their uncertainties to maximize the benefit for Earth system prediction and impacts on society.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.