Special Issue "Modeling of Surface-Atmosphere Interactions"

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: 31 March 2021.

Special Issue Editors

Dr. Rui Salgado
Website SciProfiles
Guest Editor
Institute of Earth Sciences (ICT) and Department of Physics, School of Scince and Technology, University of Évora, 7000-645 Évora, Portugal
Interests: atmospheric modeling; lake-atmosphere interactions; sea and lake breezes; interactive lakes in NWP; climate impact of dams; fire meteorology; radiation forecast; orographic precipitation
Dr. Maria José Monteiro
Website
Guest Editor
1. Instituto Português do Mar e da Atmosfera (IPMA. I.P.), Rua C do Aeroporto, 1749-077, Lisbon, Portugal2. Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal
Interests: numerical weather prediction; limited area modeling; data assimilation; surface-atmosphere interactions
Dr. Mariana Bernardino
Website
Guest Editor
Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal
Interests: atmosphere-ocean interaction; wind and wave modeling; climate and climate change; off-shore wind and wave energy
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Dr. David Carvalho
Website
Guest Editor
Centre for Environmental and Marine Studies (CESAM) & Department of Physics, University of Aveiro, 3810-193, Aveiro, Portugal
Interests: Numerical weather prediction; Atmospheric modelling; Renewable energies; Climate simulation and modelling; Climate variability and change; Data assimilation; Atmospheric motion vectors; Observation System Simulation Experiments (OSSEs)
Special Issues and Collections in MDPI journals
Dr. Flavio T. Couto
Website
Guest Editor
Institute of Earth Sciences (ICT) and Department of Physics, School of Scince and Technology, University of Évora, 7000-645 Évora, Portugal
Interests: fire weather and wildfires modelling; heavy orographic precipitation; mineral dust mobilization and transport
Dr. Rita M. Cardoso
Website
Guest Editor
Instituto Dom Luiz, University of Lisbon, IDL, Campo Grande, Ed C1, 1749-016 Lisbon, Portugal
Interests: boundary layer processes; surface-atmosphere coupling; climate change; regional climate modelling
Dr. João P. A. Martins
Website
Guest Editor
1. Instituto Português do Mar e da Atmosfera (IPMA. I.P.), Rua C do Aeroporto, 1749-077, Lisbon, Portugal2. Instituto Dom Luiz, University of Lisbon, IDL, Campo Grande, Ed C1, 1749-016 Lisbon, Portugal
Interests: thermal remote sensing; land surface temperature; land surface modelling; boundary layer processes; GNSS meteorology; cyclone tracking
Prof. Dr. Joao Carlos Andrade dos Santos
Website
Guest Editor
Department of Physics, Centre for the Research and Technology of Agro-environmental and Biological Sciences, CITAB, Universidade de Trás-os-Montes e Alto Douro, 5000-801, Vila Real, Portugal
Interests: climate variability and extremes; climate change projections; impact and risk assessment on agriculture and forests
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleague,

Along with numerical weather prediction (NWP) progress in the past couple of decades, challenges remain as a result of the increasing complexity of today’s models. For instance, the representation of the land surface has evolved tremendously. An accurate representation of the exchanges of energy, mass (including water, desert dust, carbon, and greenhouse gases), and momentum is essential for better quality forecasts, especially for processes in the lower levels of the atmosphere. These exchanges involve a thorough description of the processes linked to turbulence, vegetation dynamics and physiological processes, precipitation and snow, surface energy balance, orographic processes, river discharge and runoff, anthropogenic forcing, etc.

Surface modeling (including land, ocean, inland water, urban areas, ice, and snow) is crucial for accurate numerical weather predictions and for the understanding and modeling of climate change. The latest Intergovernmental Panel on Climate Change (IPCC) reports are clear regarding the effects of climate change across the Mediterranean, in particular across Iberia, and consider this region a hotspot for climate change. The effects include increased risk of droughts, wildfires, extreme events (such as floods and heat waves), and coastal flooding due to increased mean sea level and storm severity.

Accurate observations (in situ, satellite, and others) are crucial to improve these models. In the 2018 Statement of Guidance for High-Resolution Numerical Weather Prediction, the World Meteorological Organization recommended that the planning of future conventional networks should focus on the boundary layer, as this is where NWP vertical resolution is highest. In particular, the density and frequency of observations available from the Mediterranean Sea should be expanded. A number of new satellite sensors and products have allowed better diagnostics of model biases. For instance, the Satellite Application Facility on Land Surface Analysis (which is part of the ground segment of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) based at the IPMA, Portugal) provides a portfolio of satellite-derived land surface variables related to the surface energy balance and vegetation state.

Data assimilation systems combine modeling and observational techniques to provide more realistic products. These techniques are in use by several international agencies, such as NASA, ECMWF, ESA, and Météo-France. For instance, the ECMWF used this capacity to produce ERA5-Land, a global reanalysis with relatively high resolution (~9 km) with data every hour, available from 1981 onward. Ocean, surface wind, and sea state information are assimilated into atmospheric and ocean models (waves, currents, sea surface temperature and height, etc.) to produce accurate forecasts and reanalysis datasets. Finally, all major global and limited area models represent surface processes using a dedicated scheme.

This Special Issue launched in the framework of the workshop on “Numerical Weather Prediction in Portugal 2020” (https://sites.google.com/view/nwpportugal) aims to collect current novel papers, whether presented at the workshop or not, on the modeling of surface–atmosphere interactions. We invite researchers to contribute original research papers dealing with all aspects of the modeling of surface–atmosphere interactions, including:

  • Modeling development, test, and validation;
  • Surface observations and data assimilation;
  • Surface reanalysis;
  • Land–atmosphere interactions and feedback;
  • Atmosphere–ocean interactions;
  • Cryosphere–atmosphere interactions;
  • Inland waters–atmosphere interactions;
  • Boundary layer processes and modeling;
  • Urban boundary layer;
  • Atmospheric circulations over complex terrain;
  • Land use and climate change;
  • Fire–weather interactions and modeling;
  • Dust mobilization;
  • Transfer of greenhouse gases at the surface–atmosphere interface;
  • Emission of pollen into the atmosphere.

Dr. Rui Salgado
Dr. Maria José Monteiro 
Dr. Mariana Bernardino
Dr. David Carvalho
Dr. Flavio T. Couto
Dr. Rita M. Cardoso
Dr. João P. A. Martins
Prof. Dr. Joao Carlos Andrade dos Santos
Guest Editors

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 1500 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.

Keywords

  • modeling
  • interaction
  • surface reanalysis
  • data assimilation
  • urban boundary layer

Published Papers

This special issue is now open for submission.
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