Special Issue on Earth System Modeling , Observations and Data Assimilation

Submission Deadline: Jul. 15, 2020

This special issue currently is open for paper submission and guest editor application.

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Special Issue Flyer (PDF)

  • Special Issue Editor
    • Muhammed Eltahan
      Forschungszentrum Jülich, Institute of Bio- and Geosciences (IBG-3), Jülich, Germany
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to fulfill the Guest Editor application.
    • Miao Zhang
      Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Urumqi, Xinjiang, China
  • Introduction

    Earth system models can be used on different types of studies on weather and climate scale. They in global and regional scale have a lot of challenges and open Challenges issues regarding modeling different physical and chemical process such Precipitation, transpiration, Dust storms, and water and energy budget in order to improve numerical model capabilities. Many innovative methods had been used in order to improve existing modeling system performance. One of these methods is data assimilation for the different types of ground and remote sensing observations. Different type of Algorithms from least square approach till the Kalman filters and their families had been developed but still not all of them are well presented and investigated on different temporal and spatial scales on the earth system.
    Due to very huge amount and different types of the available ground and remote sensing observations, new innovative approaches had been initiated such applying artificial intelligence (AI) specially , deep learning algorithms to either build new data driven models or enhance the existing numerical models by modifying/replacing some internal implemented physical schemes with new one based on different AI approaches.
    In this special issue, different types of work related to any type of earth modeling either numerical or data driven models are welcomed using any kind of ground/remote sensing observation in order to study different physics on weather or climate scale.

    Aims and Scope:

    1. Earth system modeling
    2. Data Assimilation
    3. Observations and Remote Sensing
    4. Deep learning for Earth system modeling
    5. Weather and Climate temporal Scale
    6. Global and Regional Scale events

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ajremotesensing.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

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