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First 627 results for ” Tshidi Machinini”

1. Tropical tropospheric ozone trends (1998 to 2023): new perspectives from SHADOZ, IAGOS and OMI/MLS observations

   Tropospheric ozone trends are important indicators of climate forcing and surface pollution, yet ...

   Anne M. Thompson, Ryan M. Stauffer, Debra E. Kollonige, Jerald R. Ziemke, Bryan J. Johnson, Gary A. Morris, Patrick Cullis, María Cazorla, Jorge Andres Diaz, Ankie Piters, Igor Nedeljkovic, Truus Warsodikromo, Francisco Raimundo Silva, E. Thomas Northam, Patrick Benjamin, Thumeka Mkololo, Tshidi Machinini, Christian Félix, Gonzague Romanens, Syprose Nyadida, Jérôme Brioude, Stéphanie Evan, Jean-Marc Metzger, Ambun Dindang, Yuzaimi B. Mahat, Mohan Kumar Sammathuria, Norazura Binti Zakaria, Ninong Komala, Shin-Ya Ogino, Nguyen Thi Quyen, Francis S. Mani, Miriama Vuiyasawa, David Nardini, Matthew Martinsen, Darryl T. Kuniyuki, Katrin Müller, Pawel Wolff, and Bastien Sauvage | Journal: Atmospheric Chemistry and Physics | Volume: 25 | Year: 2025 | First page: 18475 | Last page: 18507 | doi: https://doi.org/10.5194/acp-25-18475-2025

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2. Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods

   Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...

   KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1

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3. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

   Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

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4. Short-Term Forecasting of High-Impact Weather with Physics-Guided Machine Learning : Technical Report

   Extreme weather events such as heavy storms and heavy precipitation have a large impact on our so...

   C. A. Severijns & G. A. Pagani | Year: 2023 | Pages: 12

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5. The impact of the COVID-19 pandemic on air pollution: A global assessment using machine learning techniques

   In response to the COVID-19 pandemic, most countries implemented public health ordinances that re...

   Jasper S. Wijnands, Kerry A. Nice, Sachith Seneviratne, Jason Thompson, Mark Stevenson | Journal: Atmospheric Pollution Research | Volume: 13 | Year: 2022 | doi: https://doi.org/10.1016/j.apr.2022.101438

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