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.
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.
CLEX researchers and colleagues found the Aridity Index was too simplistic to capture the many aspects that define landscape aridity, including the amount of rainfall, water resources and vegetation productivity, and is a poor indicator of future aridity changes.
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 proposed project aims to implement this new turbulence diagnostic scheme and evaluate its performance using high-resolution Himawari-8 imagery. Using data from the aviation industry, some preliminary verification of the diagnostic will be undertaken. Additional observational and model data will be used to investigate turbulence-prone atmospheric conditions and processes (e.g. wind shear, mountain waves, etc).
Convective vertical velocity is crucial for understanding cloud-precipitation systems, yet direct observations of convective vertical velocity are currently limited. In this project, you will estimate convective cloud top vertical velocity using Himawari-8/9 satellite data available at 2 km resolution every 10 minutes over Northern Australia since July 2015.