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Tools for Desert Locust Early Warning and Control

John Furlow, Deputy Director of the International Research Institute for Climate and Society, gives a virtual tour of IRI’s desert locust maproom, originally developed in collaboration with the UN Food and Agriculture Organization. Video transcript: If you paid any attention to the news over the past few years, you may feel like we’re living through […]

Using Big Data to Combat Catastrophes – PRISM Project

Based on a press release issued by Cornell University. Powered by IRI’s Data Library, new project aims to harness large, multi-sectoral datasets in order to identify risk factors for catastrophic events In March 1989, a tripped circuit in the Hydro-Québec power grid left 6 million people without electricity. A week earlier, an unusually harsh snowstorm […]

Burkina Faso study shows link between land degradation and migration

Below is a piece originally published on The Conversation on January 21st, 2020, and was authored by IRI researcher Elisabeth Ilboudo-Nébié. In the Sahel of West Africa – which covers Senegal, Mauritania, Mali, Burkina Faso, Niger and Chad – land degradation has led to migration towards less densely populated and more fertile areas. The land […]

January Climate Briefing: Forecast Toes Weak El Niño

Read our ENSO Essentials & Impacts pages for more about El Niño and La Niña. As of mid-January, the sea-surface temperatures were at warm-neutral to borderline El Niño levels, while atmospheric indicators showed mainly warm-neutral conditions. A new set of model runs from the International Research Institute for Climate and Society and the Climate Prediction Center predicts neutral conditions as […]

December Climate Briefing: Neutral ENSO Conditions Favored

Read our ENSO Essentials & Impacts pages for more about El Niño and La Niña. Ángel G. Muñoz provides the briefing summary: What’s New See below for tweets summarizing the current El Niño situation. ENSO Forecasts To predict ENSO conditions, computers model the SSTs in the Niño3.4 region over the next several months. The plume graph below shows the outputs […]

Ángel Muñoz receives US CLIVAR Early-Career Award

IRI climate scientist Ángel Muñoz has been given an Early Career Scientist Leadership Award by the U.S. Climate Variability and Predictability Program (US CLIVAR) for ‘outstanding contributions to national and international work to advance research and applications of subseasonal-to-seasonal predictions’. US CLIVAR is a national program that coordinates and advances climate prediction research in the […]

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 […]

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