Thom Moore began his career after the start of the space age. This is the story of how he converted his interests in evolution, philosophy, and psychology and writing into the study of heliophysics.
Editors’ Highlights
Predicting the Unique Shape of Craters on Asteroid (16) Psyche
Models link the variety of crater shapes expected on (16) Psyche with the interior structure of this unique asteroid, in preparation for the arrival of the Psyche probe in 2026.
A Smart Solution to Find Leaks in Water Distribution Networks
By systematically turning valves off and on in water distribution networks, researchers can locate pipe leaks, which could help to save huge quantities of drinking water.
Water Stress Controls the Capacity of the Terrestrial Carbon Sink
Despite increased photosynthetic activity at northern latitudes in recent decades, plant productivity in tropical zones suffers because of water limitations.
Stratospheric Weather Impacts Light Species at Great Heights
Sudden stratospheric warmings in the high latitude wintertime can drive changes in light species (H, He and O) all the way though the thermosphere, likely influencing ion densities in the exosphere.
How to Hedge the Risk of Reduced Snowpack for Hydropower
A new index insurance contract – a financial product innovation seeking to cope with climatic variability – could help hydropower operators to manage climate risks.
How Tropical Cyclones Increase in Intensity Overnight
The diurnal variations of tropical cyclone intensification and decay are analyzed using satellite data for deep convective clouds.
Stream Hydraulic Geometry 1.01
New research provides a theoretical explanation of channel cross section geometry dependence on flow rate that is commonly observed and described with power-laws.
Evaporation Reverses Groundwater Flow and Forms Hyper-Salinity
A numerical model of groundwater-surface water systems shows how floodplain evaporation can reverse stream-groundwater flow and produce strong buoyancy changes associated with salinity.
Using Machine Learning to Detect and Estimate Global Snowfall
Machine learning is used to retrieve global snowfall occurrence and rate from satellite-based passive microwave sounder observations, trained by snowfall data from a high-quality space borne radar.
