A needed correction to a widely used data set reduced scientists’ estimates of how ocean circulation has weakened.
data management
Data to Decisions: Changing Priorities for Earth Observations
NASA is updating how it designs and implements Earth science missions to ensure their data and science reach users and decisionmakers faster and more effectively.
Democratizing Science in the Cloud
CryoCloud opens scientific research and education to a broader range of cryosphere researchers with a cloud-based interactive computing environment, training, and community support.
Brandon Whitehead: Unifying Data to Streamline Discovery
A data scientist coheres disparate data sets so that Earth scientists can get the most out of infor-mation.
New Zealand Has a Unique Fossil Record Named FRED
The near-complete database reflects a spirit of trust and collaboration among the country’s scientific community—but will it last?
Harmonizing Theory and Data with Land Data Assimilation
Land data assimilation advances scientific understanding and serves as an engineering tool for land surface process studies, reflecting the trend of harmonizing theory and data in the big data era.
How Are Deep Soils Responding to Warming?
Scientists aim to integrate observations from deep-soil-warming experiments worldwide to better understand how ecosystems vital to food security and environmental health will react to climate change.
Learning Data Assimilation Without the Help of the Gaussian Assumption
Major Earth system processes are non-linear and non-Gaussian, and so should be our data assimilation approaches.
Machine Learning for Geochemists Who Don’t Want to Code
Geochemistry π is an easy-to-use step-by-step interface to carry out common machine learning tasks on geochemical data, including regression, clustering, classification, and dimension-reduction.
Trustworthy Satellite Earth Observations for Science and Society
Enhancing confidence in satellite observations of terrestrial properties like land surface temperature and soil moisture requires advances in validation and data quality assessment practices.