Publications by authors named "Igor Niezgodzki"

Paleoclimate model simulations provide reference data to help interpret the geological record and offer a unique opportunity to evaluate the performance of current models under diverse boundary conditions. Here, we present a dataset of 35 climate model simulations of the warm early Eocene Climatic Optimum (EECO; ~ 50 million years ago) and corresponding preindustrial reference experiments. To streamline the use of the data, we apply standardised naming conventions and quality checks across eight modelling groups that have carried out coordinated simulations as part of the Deep-Time Model Intercomparison Project (DeepMIP).

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Article Synopsis
  • The early Eocene featured high CO2 levels (1,200-2,500 ppmv) and significantly warmer global temperatures (10°C-16°C above modern), but the impact on Africa's hydrological cycle is not well understood.
  • A study using advanced climate models highlights that while model biases exist when comparing pre-industrial simulations to modern data, these biases are reduced in the average of multiple models.
  • Results indicate that while precipitation increases in equatorial and West Africa with rising CO2, there is no distinct trend of wetting or drying for the continent as a whole, alongside notable changes in regional wind patterns.
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The mid-Cretaceous period was one of the warmest intervals of the past 140 million years, driven by atmospheric carbon dioxide levels of around 1,000 parts per million by volume. In the near absence of proximal geological records from south of the Antarctic Circle, it is disputed whether polar ice could exist under such environmental conditions. Here we use a sedimentary sequence recovered from the West Antarctic shelf-the southernmost Cretaceous record reported so far-and show that a temperate lowland rainforest environment existed at a palaeolatitude of about 82° S during the Turonian-Santonian age (92 to 83 million years ago).

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Repetitive DNA sequences and some genes are epigenetically repressed by transcriptional gene silencing (TGS). When genetic mutants are not available or problematic to use, TGS can be suppressed by chemical inhibitors. However, informed use of epigenetic inhibitors is partially hampered by the absence of any systematic comparison.

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