Tag: Numerical Modeling and Data Assimilation

AOSC Assistant Professor Kayo Ide and ESSIC Director and ConE Chair, Professor Antonio Busalacchi were part of the local organizing committee of the World Meteorological Organization (WMO) 6th International Symposium on Data Assimilation. The event was held from October 7 – 11, 2013 and included representatives from 15 countries and over 300 registered participants. The meeting went forth as scheduled in spite of several logistical hurdles necessitated by the two-week federal government …

Soni Yatheendradas and co-authors received the Superior Paper Award from the American Society of Agricultural and Biological Engineers (ASABE) for the paper entitled “KINEROS2/AGWA: Model Use, Calibration and Validation,” Transactions of the ASABE. Articles published by ASABE in its four peer-reviewed journals during 2012 were eligible for the 2013 Superior Paper Awards….

Publication – NewsWise Date: June 5, 2012 “Divided Public: Climate Survey Shows Skepticism and Alarm Rising Over the Past Decade” Between 2002 and 2010, the images of emotions that the American public associates with global warming significantly shifted, according to a study conducted by researchers at the Yale University School of Forestry and Environmental Studies. According to the article, “Four consecutive nationwide surveys found both increasing skepticism and growing alarm among …

258 – The impacts of aerosol on convective system with WRF
Principal Investigator(s): Tzuchin Tsai

To evaluate the impacts of aerosol on convective system with WRF double-moment microphysical scheme

227 – Microphysical Processes of Atmospheric Convective Systems
Principal Investigator(s): C.-J. Shiu

We validate the hydrometeors simulated by Goddard Multi-scale Modeling Framework (MMF) through comprehensive comparisons with satellite and reanalysis data sets. Major parameters include total precipitable water, cloud liquid water, and cloud ice water as well as precipitation.

203 – Diurnal Variation of Tropospheric Trace Gas Amounts and Aerosol Optical Characteristics
Principal Investigator(s): M. Tzortziou

The project involves the development of a new ground-based network of highly accurate spectrometer systems (Pandora and Cleo instruments, Fig 1) and the development, optimization and validation of remote-sensing retrieval algorithms for obtaining new measurements of aerosol optical characteristics and tropospheric trace gas amounts and vertical distribution (NO2, O3, SO2, H2O, HCHO). The resulting data provide a unique dataset for bounding tropospheric photochemical models, and studying the evolution of tropospheric ozone, NO2, other trace gases, and aerosols and their impacts on climate and air quality. Measurements are applied to improve interpretation of current satellite observations and assess more effective design and observing strategies for future NASA satellite missions.