HIGHLIGHTS
- who: Ehsan Forootan and colleagues from the Department of Planning, Aalborg University, Rendsburggade, Aalborg, Denmark have published the research: Improving the Wet Refractivity Estimation Using the Extremely Learning Machine (ELM) Technique, in the Journal: Atmosphere 2023, 112 PEER REVIEW Atmosphere 2023, 14, 14, x FOR of 31/Dec/2020
- what: The results of this study demonstrated improvements of about 37 to 52 percent in the derived ZTD values. The aim of this study is to improve the accuracy of the wet refractivity indices from the GPT3w model over the data-sparse region of Iran. In . . .
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