Durante la expedición Pan-ártica, los investigadores obtuvieron y utilizaron datos de carbono y elementos traza para comprender mejor cómo el cambio climático afectará la producción primaria en una de las regiones de calentamiento más rápido del mundo.
Research Spotlights
Research spotlights are plain-language summaries of recent articles published in AGU’s suite of 24 journals.
Social Media Helps Reveal Cause of 2018 Indonesian Tsunami
Videos from Twitter and YouTube helped scientists tease out the physical mechanisms that generated the large tsunami in Palu Bay after a magnitude 7.5 earthquake.
Electron Density near Enceladus Shows Orbital Variation
The electron density peaks well after the activity of the moon’s distinctive south polar ice plume reaches its maximum, but the cause of the lag remains puzzling.
Why Did Great Apes Disappear from Southwestern China?
Periodic pulses of cooler temperatures may have disrupted the warm, humid, late Miocene climate that sustained the region’s great apes long after most species disappeared elsewhere.
How to Improve Space Weather Forecasting
The field of space weather forecasting could take cues from its Earthly counterpart to increase the reliability of models as well as warning times ahead of inbound solar storms.
Marine Nitrous Oxide Emissions off Northwest Europe
Continental shelves and estuaries are natural sources of nitrous oxide, but current global estimates of these emissions carry a lot of uncertainty, a problem that calls for regional studies.
El Ciclo del Carbono en el Agujero Azul Más Profundo de la Tierra
Científicos encuentran nuevos extremos mientras investigan el ciclo del carbono en el agujero azul de Yongle.
A First Look at Elusive Deep-Ocean Carbon Molecules
A new analytical technique enables direct analysis of dissolved organic carbon molecules that store carbon in the ocean for thousands of years.
How Does a Greening Arctic Affect Groundwater Recharge?
New research examines how shifts in aboveground ecology influence belowground hydrology in the Arctic.
Improving Atmospheric Forecasts with Machine Learning
An efficient, low-resolution machine learning model can usefully predict the global atmospheric state as much as 3 days out.