Sentence examples for impact forecasts from inspiring English sources

Statistical data analysis provides an overview of impact forecasts, highlighting the importance of and need for thorough research on sustainability.

Conservative estimation of yield impact forecasts effect step changes at maximal technology adoption in 2016, 2020, and 2024, with no phase-in period.

This means DDS can be employed in pre-event impact forecasting in conjunction with hazard models.

Thus, developing capability to deliver impact forecasting and risk-based warnings services in a multi (natural) hazard context.

Insurers and reinsurers use catastrophe models developed by vendors such as Risk Management Solutions RMS, Applied Insurance Research AIRAIRiskRisk Frontiers or Impact Forecasting, or on open-source platforms such as Oasis, to estimate potential losses on a probabilistic basis from a range of natural hazards.

Mainstreaming climate impact forecast information into land-use planning and infrastructure development processes can enhance sustainable development and mitigate the medium- to long-term risk from climate change as a proactive adaptation intervention (Zia 2012).

However, based on experience of impact forecasting with a similar model and of impact outcome of congestion charges in Stockholm, the estimated VTT distribution had to be stretched to the right.

Since 2005, in Southeast Asia alone, more than 172,500 people have lost their lives to tropical cyclones, and economic losses from them exceed more than $122 billion (in 2014 dollars), according to data from Aon Benfield Impact Forecasting.

Severe weather in April alone -- the month when record-breaking tornadoes tore through much of the Southeast and killed more than 300 people -- cost the country $12 billion in economic losses, according to Steven Bowen, a meteorologist with the Impact Forecasting team of Aon Benfield, one of the world's largest insurance brokers.

This type of analysis may be useful to policy makers seeking to address the question of affordability of new vaccines by comparing the budget impact forecast with their own projected total immunization budget.

In time series forecasting, using data mining for preprocessing impacts forecasting performance.