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  1. 1981
  2. 1982

    Machine learning of Antarctic firn density by combining radiometer and scatterometer remote-sensing data by W. Li, S. B. M. Veldhuijsen, S. Lhermitte, S. Lhermitte

    Published 2025-01-01
    “…The estimated densities exhibit an error of <span class="inline-formula">±10</span> kg m<span class="inline-formula"><sup>−3</sup></span> in the interior of the ice sheet and <span class="inline-formula">±35</span> kg m<span class="inline-formula"><sup>−3</sup></span> towards the ocean. However, the temporal patterns show some discrepancies, as the RF regressor tends to overestimate summer densities, except for high-elevation regions in East Antarctica and specific areas in West Antarctica. …”
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    Article
  3. 1983

    Global terrestrial moisture recycling in Shared Socioeconomic Pathways by A. Staal, P. Meijer, P. Meijer, M. K. Nyasulu, M. K. Nyasulu, M. K. Nyasulu, O. A. Tuinenburg, S. C. Dekker

    Published 2025-01-01
    “…However, we find differences among regions and river basins in trends in precipitation recycling and whether projected drying or wetting is mainly contributed by land or ocean. Our results give critical insight into the relative contributions of global warming and land-use changes on global precipitation changes over the course of this century. …”
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    Article
  4. 1984
  5. 1985
  6. 1986

    Machine Learning Based Modeling of Thermospheric Mass Density by Qian Pan, Chao Xiong, Hermann Lühr, Artem Smirnov, Yuyang Huang, Chunyu Xu, Xu Yang, Yunliang Zhou, Yang Hu

    Published 2024-05-01
    “…To assess the performance of the MBiLE model, the model predictions were compared with observations from several satellites, namely, the Swarm C, the Challenging Minisatellite Payload (CHAMP) and the Gravity Field and Steady‐State Ocean Circulation Explorer (GOCE) satellites. The determination coefficients (R2) for the three satellites are 0.98, 0.99, and 0.98, respectively. …”
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    Article
  7. 1987

    New Lightning‐Derived Vertical Total Electron Content Data Provide Unique Global Ionospheric Measurements by Erin H. Lay, Jeffery D. Tippmann, Kyle C. Wiens, Sarah E. McDonald, Anthony J. Mannucci, Xiaoqing Pi, Anthea Coster, R. Marc Kippen, Michael J. Peterson, Rob Redmon

    Published 2022-05-01
    “…We also compare to Jason‐3 VTEC measurements over the ocean, finding an offset of less than 0.5 TECU and an FWHM of <5 TECU. …”
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    Article
  8. 1988
  9. 1989

    Analysis of the behaviour of the Tukad Buluk Poh flood water at the Gilimanuk - Denpasar National Road Crossing by Hidayat Acep, Suprapti, Isradi Muhammad, Dwi Praptoyo Riska

    Published 2025-01-01
    “…It has a watershed area of around 84 km2, is about 28 km long, flows into the Indian Ocean, and is one of the rivers that floods the most. …”
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    Article
  10. 1990
  11. 1991

    The fastest nonprofessional age group IRONMAN triathletes in the world originate from Europe by Beat Knechtle, Elias Villiger, Katja Weiss, David Valero, Thomas Rosemann, Pantelis T. Nikolaidis, Rodrigo Luiz Vancini, Marilia Santos Andrade, Mabliny Thuany

    Published 2025-01-01
    “…Hilly running and cycling race courses led to slower race times, while flat surfaces, rolling cycling and ocean swimming led to faster race times. Optimal water temperatures were found at 23–25 °C and optimal air temperature ranged between 19–21 and 25–28 °C. …”
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    Article
  12. 1992
  13. 1993
  14. 1994
  15. 1995
  16. 1996
  17. 1997

    Data on compositional diversity of textural varieties of lake superior-type Banded Iron Formation (BIF) of the Njweng prospect, Mbalam iron ore district, southern CameroonMendeley... by Dieudonne Charles Isidore Ilouga, Cheo Emmanuel Suh, Akumbom Vishiti, Elisha Muntum Shemang

    Published 2025-02-01
    “…In order to determine the nature of the original chemical precipitate and the ocean during the emplacement of BIF in the northern part of the Congo Craton data from the Njweng prospect anomaly was utilized. …”
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    Article
  18. 1998
  19. 1999
  20. 2000