Dr Steve Woolnough is a Principal Research Fellow in the Climate directorate of the National Centre for Atmospheric Science, and leads their Tropical Group. His interests are in the variability of the Tropical Climate System on intraseasonal to seasonal timescales, and the representation of the tropical climate system in weather and climate prediction models. He is a member of three international panels of the WMO including the Steering Group of their sub-seasonal to seasonal prediction project. Dr Woolnough will discuss the current state of climate modelling and introduce some of the uncertainties in prediction of regional climate change, and the opportunities to narrow these uncertainties. He will also discuss the current state of sub-sea...
ABSTRACT- Climate variability over many parts of the world can impact many social and economic secto...
Skillful subseasonal-to-seasonal (hereafter S2S; 10 days - 12 weeks) prediction can greatly benefit ...
Seasonal prediction is based on changes in the probability of weather statistics due to changes in s...
Dr Steve Woolnough is a Principal Research Fellow in the Climate directorate of the National Centre ...
The tasks of providing multi-decadal climate projections and seasonal plus sub-seasonal climate pred...
The main goals of this workshop are to establish current capabilities in sub-seasonal to seasonal pr...
Seasonal prediction is based on changes in the probability of weather statistics due to changes in s...
Climate forecasts predict weather averages and other climatic properties from a few weeks to a few y...
The World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP) have ide...
Climate prediction on subseasonal to decadal time scales is a rapidly advancing field that is synthe...
AbstractSeasonal prediction is based on changes in the probability of weather statistics due to chan...
This review paper presents an assessment of the current state of knowledge and capability in seasona...
There is considerable potential for seasonal to inter-annual climate forecasts derived from dynamic ...
The chapter highlights selected scientific advances made under WCRP leadership in understanding clim...
The sensitivity of climate phenomena in the low latitudes to enhanced greenhouse conditions is a sci...
ABSTRACT- Climate variability over many parts of the world can impact many social and economic secto...
Skillful subseasonal-to-seasonal (hereafter S2S; 10 days - 12 weeks) prediction can greatly benefit ...
Seasonal prediction is based on changes in the probability of weather statistics due to changes in s...
Dr Steve Woolnough is a Principal Research Fellow in the Climate directorate of the National Centre ...
The tasks of providing multi-decadal climate projections and seasonal plus sub-seasonal climate pred...
The main goals of this workshop are to establish current capabilities in sub-seasonal to seasonal pr...
Seasonal prediction is based on changes in the probability of weather statistics due to changes in s...
Climate forecasts predict weather averages and other climatic properties from a few weeks to a few y...
The World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP) have ide...
Climate prediction on subseasonal to decadal time scales is a rapidly advancing field that is synthe...
AbstractSeasonal prediction is based on changes in the probability of weather statistics due to chan...
This review paper presents an assessment of the current state of knowledge and capability in seasona...
There is considerable potential for seasonal to inter-annual climate forecasts derived from dynamic ...
The chapter highlights selected scientific advances made under WCRP leadership in understanding clim...
The sensitivity of climate phenomena in the low latitudes to enhanced greenhouse conditions is a sci...
ABSTRACT- Climate variability over many parts of the world can impact many social and economic secto...
Skillful subseasonal-to-seasonal (hereafter S2S; 10 days - 12 weeks) prediction can greatly benefit ...
Seasonal prediction is based on changes in the probability of weather statistics due to changes in s...