CLEX researchers and colleagues find soil moisture variations need to be considered over at least a decade before a steady-state assumption can be made.
CLEX researchers investigate the mysterious annual mid-summer drought that occurs in Central America and Mexico, and find a range of regional influences that alter its timing and characteristics.
New research suggests that increasing spatial resolution alone is not sufficient to obtain a systematic improvement in the simulation of precipitation extremes, and other improvements (e.g. physics, tuning) may be required.
Researchers have developed a hybrid approach to estimate recent rainfall that combines satellite-based rainfall estimates with satellite-based soil moisture estimates. When this approach was tested against independent rain gauge measurements it showed notable improvements.
A group of international researchers using CMIP6 models to determine how heavy precipitation events will alter with climate change. The northern hemisphere in particular showed a strong warming signal for increased precipitation.
Focusing on the land regions around the world, the researchers assessed the representation of annual maximum of daily precipitation (Rx1day) across 22 observational products gridded at 1°x1° resolution.
New research shows, contrary to expectation, the inter-annual variance in evapotranspiration is much smaller than for precipitation, runoff and soil storage. Accounting for hydrologic covariances explains why it is possible for variability in the principal sink (e.g., streamflow) to exceed variability in the source (precipitation).
This study looks at data-sharing issues and outlines the history of the rationale and use of indices, the types of indices that are frequently used and the advantages and pitfalls in analysing them.
Dr Maki Kikuchi (Earth Observation Research Center, Japan Aerospace Exploration Agency (JAXA) Center for Water, Climate and Land (CWCL), the University of Newcastle) Serving as two key determinants of the planet’s radiation budget and the water cycle, cloud and precipitation have fundamental influences on the formation of the climate system. Satellite remote sensing of cloud and precipitation has evolved from the need to detect their spatial and temporal distribution characteristics on a global scale, to untangle their underlying complex processes... View Article
The primary goal of this project is to conduct an evaluation of the CMIP5 models for precipitation extremes over Australia. To that end, the student will assess how models simulate key precipitation metrics in comparison to observations.