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sci / sci.geo.hydrology / Invitation to submit your paper to our SI on "Artificial Intelligence and Machine Learning: Application in Predictive Hydrological Models"

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o Invitation to submit your paper to our SI on "Artificial Intelligence and Machingjpschumann

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Subject: Invitation to submit your paper to our SI on "Artificial Intelligence and Machine Learning: Application in Predictive Hydrological Models"
From: gjpschumann@gmail.com
Newsgroups: sci.geo.hydrology
Date: Fri, 20 Dec 2019 09:38 UTC
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Subject: Invitation to submit your paper to our SI on "Artificial Intelligence and Machine Learning: Application in Predictive Hydrological Models"
From: gjpschumann@gmail.com
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Dear friends, colleagues,

As Guest Editors of the journal Atmosphere (ISSN 2073-4433, SCIE, IF: 2.046), we would like to invite you to submit a paper to the Special Issue "Artificial Intelligence and Machine Learning: Application in Predictive Hydrological Models".

Details of the Special Issue can be found below:
******************************************
Special Issue: Artificial Intelligence and Machine Learning: Application in Predictive Hydrological Models
Website: https://www.mdpi.com/journal/atmosphere/special_issues/AI_Hydrological
Guest Editor: Dr. Mohammad Zare and Dr. Guy J.-P. Schumann
Deadline for manuscript submissions: *20 May 2020*
******************************************
Atmosphere is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Atmosphere is indexed by the key research databases; further details may be found at https://www.mdpi.com/journal/atmosphere/indexing. All papers go through a thorough but rapid peer-review process. Papers can be submitted at any time up until the deadline as they will be published on an ongoing basis. The article processing charge (APC) is 1400 CHF (Swiss Francs) per accepted paper in 2019 (https://www.mdpi.com/journal/atmosphere/apc).
MDPI is dedicated to providing free access to the latest research. To cover the costs of publishing open access, our open access program aims to support institutions through the following means: IAOP (https://www.mdpi.com/ioap ).

We would also appreciate it if you could forward this to your team members and colleagues who may also be interested. Thank you for your consideration and please do not hesitate to contact us (alicia.wang@mdpi.com) if you have any questions or suggestions

Best Regards
Dr. Guy Schumann
Dr. Mohammad Zare

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