Results 11 to 20 of about 2,899,788 (293)
Financial markets value skillful forecasts of seasonal climate
Scientific agencies spend substantial sums producing and improving forecasts of seasonal climate, but they do so without much information about these forecasts’ value in practice.
Derek Lemoine, Sarah Kapnick
doaj +4 more sources
Sensitivity of Seasonal Climate Forecasts to Persisted SST Anomalies [PDF]
Most estimates of the skill of atmospheric general circulation models (AGCMs) for forecasting seasonal climate anomalies have been based on simulations with actual observed sea surface temperatures (SSTs) as lower boundary forcing. Similarly estimates of
Goddard, Lisa M., Mason, Simon J.
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Insights into the value of seasonal climate forecasts to agriculture
Seasonal climate forecasts (forecasts) aim to reduce climate‐related productivity risk by helping farmers make decisions that minimise losses in poor years and maximise profits in good years. Most Australian forecast valuations have focused on fertiliser
Cobon, David +29 more
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Stakeholder networks: Improving seasonal climate forecasts
Metadata only recordTo be diffused, scientific innovations need to reach a wide audience through diverse networks. This paper details how seasonal climate forecasts are spread through networks of stakeholders.
Ziervogel, Gina +3 more
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Skilful seasonal forecasts of streamflow over Europe? [PDF]
This paper considers whether there is any added value in using seasonal climate forecasts instead of historical meteorological observations for forecasting streamflow on seasonal timescales over Europe. A Europe-wide analysis of the skill of the newly
L. Arnal +13 more
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The Role of Temperature Variability on Seasonal Electricity Demand in the Southern US
The reliable and affordable supply of energy through interconnected systems represent a critical infrastructure challenge. Seasonal and interannual variability in climate variables—primarily precipitation and temperature—can increase the vulnerability of
Dylan Cawthorne +5 more
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Improved Skills for Predicting Sub‐Seasonal to Seasonal Global Sea Surface Temperature [PDF]
Addressing the critical Sub‐seasonal to Seasonal predictability gap, this study presents CAS‐Canglong, a novel deep learning framework. By leveraging 3D Swin‐Transformers to capture long‐range ocean interactions, the model demonstrates superior skill over traditional GCMs.
Wang L +6 more
europepmc +2 more sources
We describe an innovative forecast presentation that aims to overcome obstacles to using seasonal climate forecasts for decision making, trace factors that influenced how seasonal forecast conventions have evolved, and describe a workshop process for ...
James W. Hansen +5 more
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Seasonal Climate Forecasts and Risk Management Among Georgia Farmers [PDF]
Recent increases in the scientific robustness of seasonal climate forecasts have not led to substantial changes in farmers’ risk management strategies of actors, largely because there is poor integration of scientific forecasting into farmers’ decision ...
Hoogenhoom, G. +13 more
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Seasonal discharge forecasting for the Upper Danube
Study Region: The authors contributed with a seasonal forecast system for discharge in the case study area of the Upper Danube basin upstream of Vienna. The basin, with a drainage area of approx.
Ignacio Martin Santos +2 more
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