Advancing climate forecasting

MERRYFIELD, W.; JEONG, J.-H.; SCAIFE, A.; FERRANTI, L.; SAURRAL, R.; RIXEN, M.; DOBLAS-REYES, F.; ORSOLINI, Y.; TOLSTYKH, M.

EOS TRANSACTIONS - AMERICAN GEOPHYSICAL UNION

American Geophysical Union

Año: 2017

0096-3941

Climate forecasts predict weather averages and other climatic properties from a few weeks to a few years in advance. Increasingly, forecasters are using comprehensive models of Earth?s climate system to make such predictions. Researchers also use climate models to project forced changes many decades into the future under assumed scenarios for human influence. Those simulations typically start in preindustrial times, so far in the past that details of their initial states have little influence in the present era. By contrast, climate forecasts begin from more recent observed climate system states, much like weather forecasts. For this reason, they are sometimes referred to as ?initialized climate predictions.? Climate forecasts are produced at numerous operational [Graham et al., 2011] and research centers worldwide. Models and approaches vary, and by coordinating research efforts, the modeling community can make even greater progress. The Working Group on Subseasonal to Interdecadal Prediction (WGSIP) of the World Climate Research Programme (WCRP) facilitates such coordination through a program of numerical experimentation?evaluating model responses to different inputs?aimed at assessing and improving climate forecasts. WGSIP currently supports a project that archives hindcasts; this is a major community resource for climate forecasting research. It also supports three additional targeted research projects aimed at advancing specific aspects of climate forecasting. These projects examine how well climate forecast models represent global influences of tropical rainfall, assess how snow predictably influences climate, and study how model drifts and biases develop and affect climate forecasts.