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pro vyhledávání: '"andrew fullhart"'
Autor:
Andrew Fullhart, David C. Goodrich, Menberu B. Meles, Paulo Tarso S. Oliveira, Cristiano das Neves Almeida, José C. de Araújo, Shea Burns
Publikováno v:
International Soil and Water Conservation Research, Vol 11, Iss 4, Pp 726-742 (2023)
Information about extreme rainfall is lacking in regions of South America and Africa. This study attempts to fill this scientific gap by use of a gridded parameterization for the stochastic weather generator, CLIGEN, to map depth-duration-frequency (
Externí odkaz:
https://doaj.org/article/591867883cc747898508040804d31487
Autor:
Andrew Fullhart, Guillermo E. Ponce-Campos, Menberu B. Meles, Ryan P. McGehee, Gerardo Armendariz, Paulo Tarso S. Oliveira, Cristiano Das Neves Almeida, José C. de Araújo, Werner Nel, David C. Goodrich
Publikováno v:
Big Earth Data, Vol 7, Iss 2, Pp 349-374 (2023)
ABSTRACTCLIGEN is a stochastic weather generator that creates statistically representative timeseries of daily and sub-daily point-scale weather variables from observed monthly statistics and other parameters. CLIGEN precipitation timeseries are used
Externí odkaz:
https://doaj.org/article/de98d5900a6149edb72f2c0f94afc546
Autor:
Andrew Fullhart, Guillermo E. Ponce-Campos, Menberu B. Meles, Ryan P. McGehee, Gerardo Armendariz, Paulo Tarso S. Oliveira, Cristiano Das Neves Almeida, José C. de Araújo, Werner Nel, David C. Goodrich
Publikováno v:
Big Earth Data. 7:349-374
Autor:
Andrew Fullhart, Ryan McGehee, Mark A. Nearing, Mariano Hernandez, Mark A. Weltz, David C. Goodrich
Publikováno v:
Journal of the ASABE. 65:1081-1096
HighlightsAn international dataset of simulated breakpoint precipitation climate stations was used to overcome the limitations of fixed-interval precipitation in global soil erosion applications.The international simulated breakpoint dataset was vali