Tag: agu2019

IRI@AGU: Crossing the ‘Predictability Desert’

Until recently, predicting rainfall and temperature at the subseasonal timescale (i.e. between two weeks and three months) was considered impossible. That’s beginning to change, thanks to the efforts of IRI’s Andrew Robertson, the head of IRI’s climate group and co-chair of the steering group of the Subseasonal to Seasonal (S2S) Prediction Project.  In the Q&A […]

IRI@AGU: Subseasonal Forecasting for the Indian Monsoon

Climate scientist Nachiketa Acharya is at the center of IRI’s efforts to develop a new seasonal forecasting system. He focuses on improving the skill and usability of climate forecasts for users in agriculture, water management and other sectors. Acharya is also actively involved in improving forecasting at the subseasonal scale. Recently, he and other IRI […]

IRI@AGU: Schedule of Events 2019

A range of IRI’s areas of expertise will be represented at this year’s annual meeting of the American Geophysical Union (AGU). Below is the schedule of IRI’s posters and presentations in sequential order. SUNDAY, DECEMBER 8 World Climate Research Programme 40th Anniversary Symposium Lisa Goddard WCRP is celebrating its 40th year of international climate science. We […]

IRI@AGU: Can We Predict “Climate Migrations”?

IRI scientists Ángel Muñoz and Diego Pons are interested in better understanding the root causes of migration in Central America. With their Columbia colleagues, Alex de Sherbinin and Susana Adamo–from the Center for International Earth Science Information Network (CEISIN)–and Diana Giraldo from the University of Reading, they’ve developed a prototype model that considers climate and […]

IRI@AGU: Focusing on Floods

Often considered one of the most revolutionary technologies for climate research, remote sensing has the capacity to vastly improve the predictive strength of a wide variety of forecasting methodologies.  However, this is still a rapidly-growing field and continuing to evaluate and cross-reference remote sensing data against other data-gathering methods is necessary to improve accuracy, a […]