Outline of Session


Atmospheric and Hydrospheric Sciences(A) / Atmospheric Sciences, Meteorology & Atmospheric Environment(AS) /  **International Session
A-AS03 Understanding extremes: high-resolution models, dense observations and the emergent role of big data

Short title Understanding weather/climate extremes
Oral presentation
May 26 AM2 (11:00 - 12:45) 301A Eugenio Realini  / Saji Hameed 
Contact Eugenio Realini
Email eugenio.realini@g-red.eu
Convener Eugenio Realini  / Saji Hameed  / Toshitaka Tsuda 
Scope Weather and climate extremes are an inherent part of climate with enormous impacts on society and the environment. Extreme weather events result from complex interactions among several mesoscale processes. While climatic extremes are basically a result of low-frequency coupled instabilities of the ocean-atmosphere-land system, they involve a range of scales beside the climate scale. Complex interactions among the mesoscale, intraseasonal and interannual scales are important in determining the intensity and impact of climate extremes. Recent advances in high performance computing have led to increasingly realistic models of weather and climate that have improved both in terms of resolution and representation of physical processes. It has increasingly become possible to use a single model to simulate both weather and climate extremes and to explore the interaction across scales. On the other hand, the increasing diffusion of sensor technologies allow for the densification of atmosphere-observing systems, providing observation datasets characterized by high space and time resolutions. More than ever before, we have access to large and dense data sets both from simulations and observations that can be used to understand, monitor or predict extremes. The full exploitation of such large datasets, including their use in data assimilation, and for understanding the mechanisms for extremes, poses relevant challenges to data analysis, in relation to the performance of current computing systems. This session presents research works in high-resolution numerical weather and climate or multi-scale models and downscaling experiments; dense monitoring systems for atmospheric observations with high spatial and time resolutions, and assimilation of such observations into numerical models; methods and technologies related to the analysis of large and complex datasets of observations ("big data") for forecasting extremes.

Time Presentation No Title Author Presenter Abstract
Oral Presentation   May 26 AM2 (11:00-12:45) 301A                              to the top
11:00 - 11:15 Invited
Short-term Climate Simulations of African Easterly Waves with a Global Mesoscale Model. SHEN, Bo-wen SHEN, Bo-wen English
11:15 - 11:30 AAS03-02 Assimilation experiment by using localizations considering horizontal scale of error correlation in rainfall area OIGAWA, Masanori
TSUDA, Toshitaka
SEKO, Hiromu
OIGAWA, Masanori English
11:30 - 11:45 AAS03-03 High resolution WRF downscaling of the SINTEX-F1 CGCM seasonal forecasts over the Kanto region JAYANTHI, Venkata ratnam
BEHERA, Swadhin kumar
DOI, Takeshi
JAYANTHI, Venkata ratnam English
11:45 - 12:00 AAS03-04 Stochastic analysis of spatio-temporal variations of high-resolution GNSS wet delays for meteorological applications REGUZZONI, Ivan
FERMI, Alessandro
REALINI, Eugenio
REALINI, Eugenio English