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Special Issue "Improved (Sub)Seasonal Climate Forecast for Impact Modelling"
Deadline for manuscript submissions: closed (31 July 2019).
Karlsruhe Institute of Technology (KIT/IMK-IFU), Institute of Meteorology and Climate Research, Campus Alpin, 82467 Garmisch-Partenkirchen, Germany
Interests: seasonal climate forecast; climate variability and climate change; agricultural and hydrological impact studies for water-scarce regions; regional climate modeling (dynamical and statistical downscaling); local refinement and bias correction of RCM output
Global seasonal climate forecasts (GSCFs) are being widely used to predict weather anomalies at monthly intervals and with lead times of a few months. The physical basis behind predictability at sub-seasonal to seasonal time scales (weeks to months) is given by interactions between the atmosphere and slowly varying boundary conditions of the land-surface, including the ocean surface. Examples of such variables with good predictability are sea surface temperature (SST), soil moisture, as well as snow- and ice cover.
Many potential applications exist across different sectors, such as adapted cropping schedules and irrigation demands for agriculture, potential power estimation from water- and wind for energy, and snow security for tourism.
It is also well known that the performance of the forecasts, i.e., the predictability of hydrometeorological variables, varies from region to region. Because of the need to improve the management of the available water resources for food- and energy production, as well as the high potential predictability of hydrometeorological variables for (sub-)tropical regions for the forthcoming season, the regional focus is set on semi-arid regions worldwide. Semi-arid regions are often characterized by a monsoonal climate with distinct rainy and dry seasons. This provides the potential to improve the management of the available water resources.
Since globally available products are usually too coarse to support decision making on relevant scales, this Special Issue focuses on how to improve sub-seasonal to seasonal climate forecasts for agricultural and hydrological applications on local scales. This Special Issue targets all relevant contributions on the development of regional and local seasonal climate forecasting systems such as local refinement (dynamical and statistical downscaling, as well as bias correction of GSCFs) and seasonal ensemble forecasts, improved forecast verification tools for seasonal forecast, as well as improved dissemination strategies and communication for decision-making. The collection of papers will be of interest for researchers, practitioners, and stakeholders in agriculture and water resources management.
Dr. Patrick Laux
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- global seasonal climate forecasts
- sub-seasonal to seasonal forecasts
- ensemble simulations
- dynamical and statistical downscaling
- bias correction
- numerical weather prediction
- forecast verification
- water resources management