Climate Program

Climate Program

 
Climate Program
NASA

Although we do not act specifically as an operational climate center, our aim is to assist those responsible for providing operational climate information, such as National Meteorological Services and Regional Climate Centers in developing countries. We do this through capacity-building activities and by developing tools to assist them in their climate service responsibilities. The Climate Predictability Tool (CPT) for example, is specifically designed to assist National Meteorological Services to produce their own tailored, downscaled seasonal climate forecasts, either using global datasets (such as sea temperature measurements) or dynamical model outputs from the WMO’s Global Producing Centres.

The Climate Program has four divisions:

  • Dynamical Modelling (Leader: Dave DeWitt)
  • Global Prediction (Leader: Mike Tippett)
  • Downscaling (Leader: Andy Robertson)
  • Climate Diagnostics (Leader: Lisa Goddard)

The Climate Program works closely with sectoral experts in health, water resources, agriculture and disaster management, to identify areas in which climate information can be used for decision making and planning and to ensure that the information is tailored to the needs of the users.

To achieve its goal the Climate Program has identified the following objectives:

  1. Develop and demonstrate expertise across the range of scientifically credible forecast and monitoring methodologies used by operational centers around the world;
  2. Develop new products (as well as improve existing ones) to generate and to meet demand for climate information;
  3. Define and implement international standards for generating and communicating climate information;
  4. Enable operational climate centers to provide climate information by developing software tools and supporting materials that encapsulate best practices for generating such information.

Highlights
 
January 2010 AMS Meeting Presentations now available
The 90th American Meteorological Society Annual Meeting 17 - 20 January in Atlanta, GA.
  • Assessing Sources of Skill in Forecasts of Meteorological Drought (B. Lyon and M. A. Bell) Presentation
  • Toward regional climate-change downscaling of weather statistics using a hidden Markov model (A. W. Robertson, A. M. Greene, S. Triglia and P. Smyth) Poster
  • Statistical downscaling daily rainfall statistics from seasonal forecasts using canonical correlation analysis or a hidden Markov model? (A. W. Robertson and K. Verbist) Presentation
 

IRI research presented at 2009 AGU Fall Meeting
2009 American Geophysical Union Fall Meeting 14 - 18 December in San Francisco, CA. Abstracts
  • Tailoring seasonal climate forecasts for hydropower operations in Ethiopia's upper Blue Nile basin (P. J. Block)
  • Does Uncertainty in the Pattern of Tropical SST Changes Underlie Uncertainty Tropical Precipitation Trends? (L. Goddard and C. Coelho)
  • Mechanisms of Climate Change in the Semi-Arid Sahel (A. Giannini)
  • Role of multi-scale physical processes in the spatial and temporal variability of rainfall over the Maritime Continent (J. -H. Qian, A. W. Robertson, and V. Moron)
  • Climate change projections of daily rainfall statistics over India: Downscaling using a hidden Markov model (A. W. Robertson, A. M. Greene, P. J. Smyth, and S. Triglia)
  • Integrating interannual climate variability forecasts into weather-indexed crop insurance. The case of Malawi, Kenya and Tanzania (M. Vicarelli, A. Giannini, and D. Osgood)
 

Display Projects
 

Climate Predictability Tool (CPT) Development

This project will deliver a platform independent version (11) of a Climate Predictability Tool (CPT) with dynamic link libraries (DLLs). DLLs facilitate user access by breaking the program into smaller, separately downloadable components.
 

Tailored forecast and monitoring products

This project focuses on the provision of real-time forecasts tailored to specific climate risk management approaches.
 

Verification of Seasonal Climate Predictions

This project aims to set and implement standards for the verification of real-time seasonal climate forecasts.
 

Development of Coupled Model Products

This project explores improvements to real-time coupled model forecasts, including provision of diagnostics of coupled models provided by collaborating partners, that will aid implementation of operational coupled seasonal forecasting in Africa.
 

Near Term Climate Change (NTCC)

This project aims to develop methods and products for guidance on near term climate change (NTCC)
 
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The IRI was established as a cooperative agreement between NOAA's Climate Program Office and Columbia University. It is part of The Earth Institute at Columbia University, and is located at the Lamont Campus.