dor_id: 4134816

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Atmósfera", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO); SCOPUS, Web Of Science (WoS); SCImago Journal Rank (SJR)

561.#.#.u: https://www.atmosfera.unam.mx/

561.#.#.a: no

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistascca.unam.mx/atm/index.php/atm/index

351.#.#.b: Atmósfera

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53009/46915

100.1.#.a: Pramuwardani, Ida; Hartono, Hartono; Sunarto, Sunarto; Sopaheluwakan, Arhasena

524.#.#.a: Pramuwardani, Ida, et al. (2023). Comparison of forecasting accuracy for the Madden Julian Oscillation (MJO) and Convectively Coupled Equatorial Waves (CCEW) using Tropical Rainfall Measuring Mission (TRMM) and ERA-Interim precipitation forecast data for Indonesia. Atmósfera; Vol. 37, 2023; 1-15. Recuperado de https://repositorio.unam.mx/contenidos/4134816

245.1.0.a: Comparison of forecasting accuracy for the Madden Julian Oscillation (MJO) and Convectively Coupled Equatorial Waves (CCEW) using Tropical Rainfall Measuring Mission (TRMM) and ERA-Interim precipitation forecast data for Indonesia

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

264.#.0.c: 2023

264.#.1.c: 2023-01-17

653.#.#.a: MJO; CCEW; forecast; TRMM; ERA-Interim

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx

884.#.#.k: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53009

001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/53009

041.#.7.h: eng

520.3.#.a: Forecast data from the Tropical Rainfall Measuring Mission (TRMM) and the ERA-Interim reanalysis of the European Centre for Medium-Range Weather Forecasts (ECMWF) were analyzed using the second-order autoregressive method AR(2) and space-time spectral analysis methods, respectively. Our analysis revealed contrasting results for predicting the Madden Julian Oscillation (MJO) and convectively coupled equatorial waves (CCEW) over Indonesia. We used the same 13-year series of daily TRMM 3B42 V7 and ERA-Interim reanalysis model datasets from the ECMWF for precipitation forecasts. Three years (2016 to 2018) of the filtered 3B42 and ERA-Interim forecast data were then used to evaluate forecast accuracy by looking at correlation coefficients for forecast leads from day +1 through day +7. The results show that rainfall estimation data from 3B42 provides better results for the shorter forecast leads, particularly for MJO, equatorial Rossby (ER), mixed Rossby-gravity (MRG), and inertia-gravity phenomena in zonal wavenumber 1 (IG1), but gives a poor correlation for Kelvin waves for all forecast leads. A consistent correlation for all waves was achieved from the filtered ERA-Interim precipitation forecast model, and although this was quite weak for the first forecast leads it did not reach a negative correlation in the later forecast leads except for IG1. Furthermore, the Taylor diagram was also examined to complement forecasting skills for both data sources, with the result that residual error for the filtered ERA-Interim precipitation forecast was quite small during all forecast leads and for all wave types. These findings prove that the ERA-Interim precipitation forecast model remains as an adequate precipitation model in the tropics for MJO and CCEW forecasting, specifically in Indonesia.

773.1.#.t: Atmósfera; Vol. 37 (2023); 1-15

773.1.#.o: https://www.revistascca.unam.mx/atm/index.php/atm/index

022.#.#.a: ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

310.#.#.a: Trimestral

300.#.#.a: Páginas: 1-15

264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

doi: https://doi.org/10.20937/ATM.53009

handle: 6c152464d0847619

harvesting_date: 2023-06-20 16:00:00.0

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file_creation_date: 2023-01-17 18:37:06.0

file_modification_date: 2023-01-17 18:37:11.0

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last_modified: 2023-06-20 16:00:00

license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es

license_type: by-nc

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