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First 422 results for ” JP Machado”

1. Greenhouse gas induced changes in the fire risk in Brazil in ECHAM5/MPI-OM coupled climate model
   F Justino, AS de Mélo, A Setzer, R Sismanoglu, C Sediyama, GA Ribeiro, JP Machado, A Sterl | Status: published | Journal: Climatic Change | Volume: 106 | Year: 2011 | First page: 285 | Last page: 302 | doi: 10.1007/s10584-010-9902-x

   Publication

2. A wide-angle high Mach number modal expansion for infrasound propagation

   The use of modal expansions to solve the problem of atmospheric infrasound propagation is revisit...

   JD Assink, R Waxler, D Velea | Status: published | Journal: J.A.S.A. | Volume: 141 | Year: 2017 | First page: 1781 | Last page: 1792 | doi: 10.1121/1.4977578

   Publication

3. 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

   Publication

4. 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

   Publication

5. 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

   Publication