Meso-scale Standard Evapotranspiration 'Climate' Classification Derived from Numerical Weather Prediction Models and Artificial Intelligence

Israel Pineda, Elisa J. Piispa, Scott L. Williams, Maria Solis-Aulestia

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The Weather, Research and Forecasting (WRF) model and Self-Organizing Maps (SOM) artificial neural network (ANN) have been used to classify regional evapotranspiration (ETo) 'weather'. Here, this concept is expanded to develop a pilot ETo 'climate' classification system in a regional subset of the Andes and the Amazon. ETo 'climate' is defined as the frequency of ETo 'weather' classes passing through a geographical location (i.e., a pixel in the WRF model), allowing the construction of a histogram for each pixel. The histogram is then used as a one-dimensional signal for another SOM classification, offering a regional perspective on how ETo behaves and specifically what a geographic location can expect in terms of ETo variables, similar to the Köppen climate classification system. This research presents the results of several classification comparisons to produce a repeatable pilot system for Eto 'climate' classification and a map that offers the potential to improve irrigation decision-making.

Idioma originalInglés
Título de la publicación alojadaIGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas3842-3845
Número de páginas4
ISBN (versión digital)9798350320107
DOI
EstadoPublicada - 2023
Evento2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, Estados Unidos
Duración: 16 jul. 202321 jul. 2023

Serie de la publicación

NombreInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volumen2023-July

Conferencia

Conferencia2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
País/TerritorioEstados Unidos
CiudadPasadena
Período16/07/2321/07/23

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