A new study published in Big Earth Data evaluates ten satellite-based and reanalysis precipitation datasets available in Google Earth Engine using rain gauge observations across Czechia from 2001 to 2021. The results show that the gauge-adjusted GSMaP dataset provides the highest overall accuracy, while ERA5-Land performs well for long-term analyses despite systematic overestimation. The findings offer clear guidance for selecting reliable precipitation datasets for hydrological, climate, and environmental applications, particularly in regions with complex terrain.

Atmospheric scientist Amanda Staudt will join the American Meteorological Society (AMS), the professional society for weather, water, and climate sciences and services, as its new executive director in March 2026. 

Ammonia is a promising hydrogen carrier and fertilizer, with growing potential as a low-carbon fuel. However, conventional production is highly energy-intensive and contributes significantly to greenhouse gas emissions. In a new study, researchers developed a dual chemical looping strategy for ammonia synthesis that avoids several energy-intensive steps used in traditional processes. An integrated 4E analysis showed improved efficiency and robustness while reducing production costs.

Cuts in sulfur emissions from oceangoing vessels have been tied to a reduction in lightning stroke density along heavily trafficked shipping routes in the Bay of Bengal and the South China Sea, according to new research from the University of Kansas.

A team of researchers led by the University of Plymouth have earned £3.7million from UK Research and Innovation to conduct an unprecedented assessment of the response and resilience of deep sea coral ecosystems. The five-year project will be delivered in collaboration with organisations across the Maldives, Seychelles and Mauritius and will focus on coral reefs below the surface of the Indian Ocean, employing a number of methods to assess their vulnerability to climate change.

In a study published in Earth and Planetary Physics, researchers analyzed atmospheric gravity wave (AGW) events observed in Dandong (northeastern China) and Lhasa (Tibetan Plateau) between 2015–2017. Using machine learning and ray-tracing methods, the team found significant differences in wave parameters and wave sources, driven by distinct geographical conditions and wind-filtering effects.

Researchers at University of Tsukuba conducted a three-year observational study (January 2019-December 2021) using a network of live cameras to monitor characteristic clouds around Mount Fuji, including cap clouds, Tsurushi clouds (mountain-wave lenticular clouds), and Hata clouds (clouds similar to banner clouds but meteorologically distinct). By systematically analyzing visual records together with meteorological data, the researchers—for the first time—scientifically verified the occurrence frequency and formation conditions of these clouds, which were previously understood only based on empirical hypotheses.