<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://hdl.handle.net/10174/1130" />
  <subtitle />
  <id>http://hdl.handle.net/10174/1130</id>
  <updated>2026-07-30T21:58:06Z</updated>
  <dc:date>2026-07-30T21:58:06Z</dc:date>
  <entry>
    <title>Heat flow and thermal gradients in Portugal</title>
    <link rel="alternate" href="http://hdl.handle.net/10174/41767" />
    <author>
      <name>Duque, Maria Rosa</name>
    </author>
    <author>
      <name>Mendes-Victor, Luís Alberto</name>
    </author>
    <id>http://hdl.handle.net/10174/41767</id>
    <updated>2026-04-09T14:45:40Z</updated>
    <published>1988-01-01T00:00:00Z</published>
    <summary type="text">Title: Heat flow and thermal gradients in Portugal
Authors: Duque, Maria Rosa; Mendes-Victor, Luís Alberto
Abstract: In this paper we present the available heat flow data in Portugal.The number and location of the boreholes don't allow contouring of heat flow; so, we show the heat flow values and thermal gradients, making some considerations about the anomalous values.</summary>
    <dc:date>1988-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>AI-Driven Estimation of Aerosol Optical Thickness using Remote Sensing and Meteorological Data</title>
    <link rel="alternate" href="http://hdl.handle.net/10174/40334" />
    <author>
      <name>Marinho, David</name>
    </author>
    <author>
      <name>Gonçalves, Teresa</name>
    </author>
    <author>
      <name>Costa, Maria João</name>
    </author>
    <id>http://hdl.handle.net/10174/40334</id>
    <updated>2026-01-12T22:51:13Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: AI-Driven Estimation of Aerosol Optical Thickness using Remote Sensing and Meteorological Data
Authors: Marinho, David; Gonçalves, Teresa; Costa, Maria João
Abstract: Accurately estimating Aerosol Optical Thickness (AOT) is essential for understanding atmospheric aerosol dynamics and their climatic effects. In this study, a machine learning model was developed using the Random Forest (RF) algorithm, to estimate AOT at 500 nm. The reference AOT data are obtained from the AERONET network, using data from the Évora Atmospheric Sciences Observatory (Portugal), ensuring high-quality training and validation. The RF model, configured with 160 estimators and a maximum depth of 35, was trained using a dataset of global horizontal radiation, solar zenith angle, precipitable water vapor and meteorological variables. The model achieves a root mean square error (RMSE) of 0.0594, demonstrating its effectiveness in capturing AOT variability. This AI-driven approach offers a promising tool for estimating AOT in regions with limited direct aerosol observations, thereby enhancing atmospheric monitoring and climate research.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Understanding Mineral Dust Through a Doctoral Alliance</title>
    <link rel="alternate" href="http://hdl.handle.net/10174/39674" />
    <author>
      <name>Marenco, Franco</name>
    </author>
    <author>
      <name>Amiridis, Vasilis</name>
    </author>
    <author>
      <name>Costa, Maria João</name>
    </author>
    <author>
      <name>Kandler, Konrad</name>
    </author>
    <author>
      <name>Kazadzis, Stelios</name>
    </author>
    <author>
      <name>Klose, Martina</name>
    </author>
    <author>
      <name>Pérez García-Pando, Carlos</name>
    </author>
    <author>
      <name>Ryder, Claire</name>
    </author>
    <author>
      <name>Antunes, Célia</name>
    </author>
    <author>
      <name>Basart, Sara</name>
    </author>
    <author>
      <name>Bortoli, Daniele</name>
    </author>
    <author>
      <name>Bouris, D.</name>
    </author>
    <author>
      <name>Brooks, M.</name>
    </author>
    <author>
      <name>Buters, J.</name>
    </author>
    <author>
      <name>Canhoto, Paulo</name>
    </author>
    <author>
      <name>Carra, Maria Elena</name>
    </author>
    <author>
      <name>Choutris, P.</name>
    </author>
    <author>
      <name>Christoudias, T.</name>
    </author>
    <author>
      <name>Clarkson, R.</name>
    </author>
    <author>
      <name>et al</name>
    </author>
    <id>http://hdl.handle.net/10174/39674</id>
    <updated>2025-11-27T00:21:52Z</updated>
    <published>2025-09-30T23:00:00Z</published>
    <summary type="text">Title: Understanding Mineral Dust Through a Doctoral Alliance
Authors: Marenco, Franco; Amiridis, Vasilis; Costa, Maria João; Kandler, Konrad; Kazadzis, Stelios; Klose, Martina; Pérez García-Pando, Carlos; Ryder, Claire; Antunes, Célia; Basart, Sara; Bortoli, Daniele; Bouris, D.; Brooks, M.; Buters, J.; Canhoto, Paulo; Carra, Maria Elena; Choutris, P.; Christoudias, T.; Clarkson, R.; et al
Abstract: We present an example of how a doctoral network can bring together multidisciplinary&#xD;
expertise and novel scientific advances in atmospheric dust. This network (Dust-DN) has&#xD;
started operations and is a strategic alliance of high-profile partners, able to leverage unique facilities for atmospheric research and innovative space missions. The network aims to improve our understandings of dust processes and microphysics, identify the signature of source regions, address the socio-economic impacts of dust transport and improve the quantification of the role of dust in the climate system. The first results have already been achieved and are shown here, and many more are expected to follow.</summary>
    <dc:date>2025-09-30T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Anomalias magnéticas, alturas do geóide e variações de temperatura na plataforma do SW de Portugal</title>
    <link rel="alternate" href="http://hdl.handle.net/10174/36445" />
    <author>
      <name>Duque, Maria Rosa</name>
    </author>
    <id>http://hdl.handle.net/10174/36445</id>
    <updated>2024-03-18T16:38:18Z</updated>
    <published>2023-05-31T23:00:00Z</published>
    <summary type="text">Title: Anomalias magnéticas, alturas do geóide e variações de temperatura na plataforma do SW de Portugal
Authors: Duque, Maria Rosa
Abstract: Geoid height values obtained with models EGM 84, EGM96 and EGM 2008 for the region under study present significant changes, ocurring in relatively short time intervals, which can be interpreted as density changes associated with temperature variations in the region. In the present work, studies were made with data of the geomagnetic field (average hourly values) obtained at the Magnetic Observatory of Coimbra, San Fernando and Almeria, and it was concluded that anomalies detected on February 27 of 1969 can be interpreted as being obtained by suprposition of additional magnetic fields (in relation to days 25 and 26th), initially with mainly horizontal component and later with mainly vertical component. These additional fields may be associated with ion movements with mainly vertical direction followed by mainly horizontal direction. The variation in the direction of the geomagnetic field and the associated electric field lines could lead to reorientation of dipolar molecules and temperature increase in the region, whixh may have caused opening cracks and fractures already existing in the region, facilitating the entry of large amounts of water to deep zones, with relatively high speeds and temperatures.</summary>
    <dc:date>2023-05-31T23:00:00Z</dc:date>
  </entry>
</feed>

