Workshop on Predictability, dynamics and applications research using the TIGGE and S2S ensembles

Considering lessons learned from experiences at seasonal timescale, this talk discusses some concrete S2S applications using both calibrated and uncalibrated forecasts from the S2S Database and the SubX project.

First, we illustrate how a Python interface for IRI’s Climate Predictability Tool —PyCPT— can be employed to assess skill and calibrate sub-seasonal forecasts in ways that are useful...

The S2S4E project aims to bring sub-seasonal to seasonal climate predictions to the renewable energy sector. Raw climate predictions come with a set of challenges which require the deployment of a climate service in order to produce valuable information for users. This involves the development of robust methodologies to calibrate predictions, a quality assessment, and the effective...

Accurate real-time monitoring and prediction of drought on a sub-seasonal timescale enhance our capability of drought risk assessment and management. This study investigated the feasibility of the sub-seasonal drought prediction using dynamical model outputs. To this aim, we adopted the Keetch-Byram Drought Index (KBDI) to estimate soil moisture deficits and used real-time and historical...

The skill of subseasonal to seasonal forecasts models is relatively high for Southeast Asia; however, uptake of such information by the disaster risk reduction community is still in its infancy. As part of the implementation of the ASEAN-UN Joint Strategic Plan of Action on Disaster Management (2016-2020), recommendations were made to build capacities for using S2S products at the timescales...

Telecommunication networks are integral part of secure and competitive societies where commercial enterprise and essential services depend on low-cost and reliable communications. In the UK, an estimated net economic contribution of £33bn/year (or 1.5% of GDP) is attributable to telecommunications infrastructure, however, as with many other aspects of infrastructure, the exposed nature of the...