Subseasonal to Seasonal Climate Forecasting
A special issue of Climate (ISSN 2225-1154).
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 14538
Special Issue Editors
2. Jet Propulsion La-boratory, California Institute of Technol-ogy, Pasadena, CA, USA
Interests: land–atmosphere–ocean interaction; monsoons; seamless prediction/projection/verification; climate services; satellite / in situ data analysis
Interests: climate impacts; weather forecast; cold surge; extreme weather events; catastrophe risk modeling; food security; renewable energy; urban heat island
Special Issue Information
Dear Colleagues,
In the past few years, significant progress has been made in the usability of weather data at sub-seasonal to seasonal (S2S) timescales for decision-making. With the advancement of resources and technological developments (e.g., new satellites, in situ networks), more realistic and accurate measurements now allow for achieve better prediction systems. This potentially allows the development of standard tools to meet sector-specific (e.g., food, water, agriculture, energy, health, transportation, etc.) requirements. Yet, these prediction systems exhibit uncertainties when incorporating more detailed information at regional to local scales. An optimal approach is therefore needed to address a trade-off between uncertainties and skills of the prediction systems tailored to the user-specific requirements.
This Special Issue aims to utilize the S2S forecast data to determine the potential effects of impact-relevant studies (e.g., pre-defined natural hazards such as droughts, floods, heat stress, etc.) at regional to local scales. This also includes disseminating datasets, methods, and metric visualizations for sector-specific users.
- Sub-seasonal to seasonal prediction
- Climate services/decision making
- Impact studies
- Uncertainty quantification
- Ensemble prediction system
- Bias adjustment
- Forecast skills
Dr. Shakeel Asharaf
Dr. Anupam Kumar
Guest Editors
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