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On the Extrapolation of Generative Adversarial Networks for Downscaling Precipitation Extremes in Warmer Climates

Autor: Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz

Publikováno v: Geophysical Research Letters, Vol 51, Iss 23, Pp n/a-n/a (2024)

Abstract While deep‐learning downscaling algorithms can generate fine‐scale climate projections cost‐effectively, it is unclear how effectively they extrapolate to unobserved climates. We assess the extrapolation capabilities of a deterministic

Externí odkaz: https://doaj.org/article/108e438a842f41b5b5ec21281eaf6a33

Downscaling precipitation and temperature in the Andes: applied methods and performance—a systematic review protocol

Autor: Santiago Núñez Mejía, Carina Villegas-Lituma, Patricio Crespo, Mario Córdova, Ronald Gualán, Johanna Ochoa, Pablo Guzmán, Daniela Ballari, Alexis Chávez, Santiago Mendoza Paz, Patrick Willems, Ana Ochoa-Sánchez

Publikováno v: Environmental Evidence, Vol 12, Iss 1, Pp 1-12 (2023)

Abstract Background Global warming and climate change are threats to the world. Warmer temperatures and changes in precipitation patterns alter water availability and increase the occurrence of extreme weather events. South America and the Andes are

Externí odkaz: https://doaj.org/article/4d3cfc1c555c43fb8bdfd97686fda4d7

Investigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR

Autor: Watson, Campbell D., Wang, Chulin, Lynar, Timothy, Weldemariam, Komminist

In an effort to provide optimal inputs to downstream modeling systems (e.g., a hydrodynamics model that simulates the water circulation of a lake), we hereby strive to enhance resolution of precipitation fields from a weather model by up to 9x. We te

Externí odkaz: http://arxiv.org/abs/2012.01233

Downscaling precipitation and temperature in the Andes: applied methods and performance-a systematic review protocol.

Autor: Núñez Mejía S; TRACES & Faculty of Science and Technology, Universidad del Azuay, Av. 24 de Mayo 7-77 y Hernán Malo, Cuenca, Ecuador. sanxaviernume@gmail.com.; Department of Water Resources and Environmental Sciences, University of Cuenca, Cuenca, Ecuador. sanxaviernume@gmail.com., Villegas-Lituma C; Department of Geodesy and Geoinformation, Research Unit Remote Sensing, University of Technology (TU Wien), Vienna, Austria., Crespo P; Department of Water Resources and Environmental Sciences, University of Cuenca, Cuenca, Ecuador., Córdova M; Department of Water Resources and Environmental Sciences, University of Cuenca, Cuenca, Ecuador., Gualán R; Department of Water Resources and Environmental Sciences, University of Cuenca, Cuenca, Ecuador., Ochoa J; TRACES & Faculty of Science and Technology, Universidad del Azuay, Av. 24 de Mayo 7-77 y Hernán Malo, Cuenca, Ecuador., Guzmán P; TRACES & Faculty of Science and Technology, Universidad del Azuay, Av. 24 de Mayo 7-77 y Hernán Malo, Cuenca, Ecuador., Ballari D; Instituto de Estudios de Régimen Seccional del Ecuador (IERSE) &, Facultad de Ciencia y Tecnología, Universidad del Azuay, Cuenca, 010101, Ecuador., Chávez A; Hydraulics and Geotechnics Section, Department of Civil Engineering, KU Leuven, 3001, Leuven, Belgium., Mendoza Paz S; Hydraulics and Geotechnics Section, Department of Civil Engineering, KU Leuven, 3001, Leuven, Belgium., Willems P; Hydraulics and Geotechnics Section, Department of Civil Engineering, KU Leuven, 3001, Leuven, Belgium., Ochoa-Sánchez A; TRACES & Faculty of Science and Technology, Universidad del Azuay, Av. 24 de Mayo 7-77 y Hernán Malo, Cuenca, Ecuador.

Publikováno v: Environmental evidence [Environ Evid] 2023 Dec 12; Vol. 12 (1), pp. 29. Date of Electronic Publication: 2023 Dec 12.