Javascript must be enabled to continue!
Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere
View through CrossRef
AbstractSubseasonal‐to‐seasonal (S2S) prediction has gained momentum in the recent past as a need for predictions between the weather forecasting timescale and seasonal timescale exists. The availability of S2S databases makes prediction and predictability studies possible over all the regions of the globe. Most S2S studies are, however, relevant to the northern hemisphere. In this review, the S2S literature relevant to the southern hemisphere (SH) are presented. Predictive skill, sources of predictability, and the application of S2S predictions are discussed. Indications from the subseasonal predictability studies for the SH regions suggest that predictive skill is limited to 2 weeks in general, particularly for temperature and rainfall, which are the variables most frequently investigated. However, temperature has enhanced skill compared to rainfall. More S2S prediction studies that include the quantification of the sources of predictability and the identification of windows of opportunity need to be conducted for the SH, particularly for the southern African region. The African continent is vulnerable to weather‐ and climate‐related disasters, and S2S forecasts can assist in alleviating the risk of such disasters.
Title: Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere
Description:
AbstractSubseasonal‐to‐seasonal (S2S) prediction has gained momentum in the recent past as a need for predictions between the weather forecasting timescale and seasonal timescale exists.
The availability of S2S databases makes prediction and predictability studies possible over all the regions of the globe.
Most S2S studies are, however, relevant to the northern hemisphere.
In this review, the S2S literature relevant to the southern hemisphere (SH) are presented.
Predictive skill, sources of predictability, and the application of S2S predictions are discussed.
Indications from the subseasonal predictability studies for the SH regions suggest that predictive skill is limited to 2 weeks in general, particularly for temperature and rainfall, which are the variables most frequently investigated.
However, temperature has enhanced skill compared to rainfall.
More S2S prediction studies that include the quantification of the sources of predictability and the identification of windows of opportunity need to be conducted for the SH, particularly for the southern African region.
The African continent is vulnerable to weather‐ and climate‐related disasters, and S2S forecasts can assist in alleviating the risk of such disasters.
Related Results
Adaptive Bias Correction for Improved Subseasonal Forecasting
Adaptive Bias Correction for Improved Subseasonal Forecasting
<p>Improving our ability to forecast the weather and climate is of interest to all sectors of the economy and government agencies from the local to the national level...
Common evaluation/evolution of cloud-radiation processes from 25km S2S to 3km NWP
Common evaluation/evolution of cloud-radiation processes from 25km S2S to 3km NWP
<p>Subgrid-scale cloud representation and the closely related surface-energy balance continue to be a central challenge from subseasonal-to-seasonal models down to st...
Subseasonal Prediction Skill of Winter Quasi-Stationary Waves in the Northern Hemisphere
Subseasonal Prediction Skill of Winter Quasi-Stationary Waves in the Northern Hemisphere
Quasi-stationary Rossby waves (QSWs) modulate persistent (lasting days
to weeks) atmospheric ridges and troughs, and can lead to extreme
weather events, particularly in the midlati...
An opportunity index for subseasonal prediction
An opportunity index for subseasonal prediction
The skill of subseasonal atmospheric forecasts has steadily improved in recent decades. Nevertheless, the operational use of such forecasts is still a major challenge for weather p...
Lessons Learned from the Co-Development and Integration of a Subseasonal Forecast into the Yr weather service
Lessons Learned from the Co-Development and Integration of a Subseasonal Forecast into the Yr weather service
Subseasonal forecasting, which bridges the gap between short-term weather forecasts and seasonal outlooks, covers lead times of 2–6 weeks. Traditionally, these forecasts are presen...
Understanding the Subseasonal Modulation of Moisture Transport over the Indian Monsoon Domain
Understanding the Subseasonal Modulation of Moisture Transport over the Indian Monsoon Domain
The subseasonal modes of integrated water vapor transport (IVT) over the
Indian Summer Monsoon (ISM) domain were examined and their association
with different modes of ISM precipit...
0648 Retinal responsivity is associated with light and season-related cognitions in older adults with seasonal depression
0648 Retinal responsivity is associated with light and season-related cognitions in older adults with seasonal depression
Abstract
Introduction
Maladaptive cognitions associated with lower light availability in winter and the changing of the seasons ...
Primerjalna književnost na prelomu tisočletja
Primerjalna književnost na prelomu tisočletja
In a comprehensive and at times critical manner, this volume seeks to shed light on the development of events in Western (i.e., European and North American) comparative literature ...

