Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: climatology – Page 2

Cloud droplet microphysics challenges accuracy of current climate models

The way clusters of differently sized water droplet populations are distributed within clouds affects larger-scale cloud properties, such as how light is scattered and how quickly precipitation forms. Studying and simulating cloud droplet microphysical structure is difficult. But recent field observations have provided crucial, centimeter-scale data on cloud droplet size distributions in stratocumulus clouds, giving researchers an opportunity to better match their models to reality.

The simulations of characteristic droplet size distributions that those models are providing are likely too uniform, say Nithin Allwayin and colleagues. This muddled microphysical structure could be leading cloud simulations, and the that use them, astray. Their paper is published in the journal Geophysical Research Letters.

The authors compare the new observed data on cloud microphysical structure with results from large-eddy simulations (LES) of stratocumulus . At convective scales, the model showed intriguing correlations between droplet cluster characteristics and overall cloud physics. For example, regions of the clouds dominated by drizzle tended to have larger drops but not necessarily more total water content, and the updraft regions of clouds tended to have smaller drops and a narrower distribution of droplet size.

Climate intervention may lower protein content in major global food crops

A new study in Environmental Research Letters reports that cooling the planet by injecting sulfur dioxide into the stratosphere, a proposed climate intervention technique, could reduce the nutritional value of the world’s crops.

Scientists at Rutgers University used and crop models to estimate how stratospheric aerosol intervention (SAI), one type of solar geoengineering, would impact the protein level of the world’s four major food crops: maize, rice, wheat, and soybeans. The SAI approach, inspired by volcanic eruptions, would involve releasing into the stratosphere. This gas would transform into sulfuric acid particles, forming a persistent cloud in the upper atmosphere that reflects a small part of the sun’s radiation, thereby cooling Earth.

While these are primarily sources of carbohydrates, they also provide a substantial share of dietary protein for large portions of the global population. Model simulations suggested that increased CO2 concentrations tended to reduce the protein content of all four crops, while increased temperatures tended to increase the protein content of crops. Because SAI would stop temperatures from increasing, the CO2 effect would not be countered by warming, and protein would decrease relative to a warmer world without SAI.

Batteries with water-based electrolytes offer more energy using new cathode

The innovation is claimed to be ideal for cold-climate electronics, wearable devices, and grid storage.

Researchers have demonstrated that aqueous zinc-ion batteries can offer long-term cycling stability and higher energy density with a new method.

Researchers from The Hong Kong Polytechnic University and Shenzhen University used a different type of cathode that delivers exceptional performance in aqueous zinc-ion batteries across a wide temperature range.

They developed a novel K⁺ and C3N4 co-intercalated NH4V4O10 (KNVO-C3N4) cathode to use in aqueous zinc-ion batteries.

A genetic switch lets plants accept nitrogen-fixing bacteria

Researchers are one step closer to understanding how some plants survive without nitrogen. Their work could eventually reduce the need for artificial fertilizer in crops such as wheat, maize, or rice.

“We are one step closer to greener and climate-friendlier food production,” say Kasper Røjkjær Andersen and Simona Radutoiu, both professors of molecular biology at Aarhus University. The findings are published in the journal Nature.

The two researchers led a new study where they discovered an important key to understanding how we can reduce agriculture’s need for artificial fertilizer.

Paradox of rotating turbulence finally tamed with ‘hurricane-in-a-lab’

From stirring milk in your coffee to fearsome typhoon gales, rotating turbulent flows are everywhere. Yet, these spinning currents are as scientifically complex as they are banal. Describing, modeling, and predicting turbulent flows have important implications across many fields, from weather forecasting to studying the formation of planets in the accretion disk of nascent stars.

Two formulations are at the heart of the study of turbulence: Kolmogorov’s universal framework for small-scale turbulence, which describes how energy propagates and dissipates through increasingly small eddies; and Taylor-Couette (TC) flows, which are very simple to create yet exhibit extremely complex behaviors, thereby setting the benchmark for the study of the fundamental characteristics of complex flows.

For the past many decades, a central contradiction between these potent formulations has plagued the field. Despite extensive experimental research and despite being found universal to almost all turbulent flows, Kolmogorov’s framework has apparently failed to apply to turbulent TC flows.

Climate intervention may not be enough to save coffee, chocolate and wine

A new study published in Environmental Research Letters reveals that even advanced climate intervention strategies may not be enough to secure the future of wine grapes, coffee and cacao.

These crops are vital to many economies and provide livelihoods for farmers worldwide. However, they are increasingly vulnerable to the effects of . Rising temperatures and changing cause big variations in from year to year, meaning that farmers cannot rely on the stability of their harvest, and their produce is at risk.

The researchers specifically investigated Stratospheric Aerosol Injection (SAI) as a way of mitigating climate change in the top grape, coffee and cacao growing regions of western Europe, South America and West Africa. SAI is a hypothetical solar geoengineering method that involves releasing reflective particles into the stratosphere to cool Earth’s surface, mimicking the natural cooling effects of volcanic eruptions.

Abandoned coal mine drainage identified as a significant source of carbon emissions

For the past 250 years, people have mined coal industrially in Pennsylvania, U.S… By 1830, the city of Pittsburgh was using more than 400 tons of the fossil fuel every day. Burning all that coal has contributed to climate change. Additionally, unremediated mines—especially those that operated before Congress passed regulations in 1977 —have leaked environmentally harmful mine drainage. But that might not be the end of their legacy.

In research presented last week at GSA Connects 2025 in San Antonio, Texas, U.S., Dr. Dorothy Vesper, a geochemist at West Virginia University, found that those abandoned mines pose another risk: continuous CO2 emissions from water that leaks out even decades or centuries after mining stops.

AI Boosts Ocean Forecasting Accuracy and Speed

“The ability to resolve the Gulf Stream and its dynamics properly, has been an open challenge for many years in oceanography,” said Dr. Ashesh Chattopadhyay.

How can AI be used to predict ocean forecasting? This is what a recent study published in the Journal of Geophysical Research Machine Learning and Computation hopes to address as a team of researchers investigated how AI can be used to predict short-and long-term trends in ocean dynamics. This study has the potential to help scientists and the public better understand new methods estimating long-term ocean forecasting, specifically with climate change increasing ocean temperatures.

For the study, the researchers presented a new AI-based modeling tool for predicting ocean dynamics for the Gulf of Mexico, which is a major trade route between the United States and Mexico. The goal of the tool is to build upon longstanding physics-based models that have traditionally been used for predicting ocean dynamics, including temperature and changes in temperature.

In the end, the researchers found that this new model demonstrates improved performance in predicting ocean dynamics, specifically for short-term intervals of 30 days, along with long-term intervals of 10 years. The team aspires to use this new tool for modeling ocean dynamics worldwide.

/* */