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

336.#.#.b: article

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336.#.#.a: Artículo

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351.#.#.a: Artículos

harvesting_group: RevistasUNAM

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

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856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/8563/8033

100.1.#.a: Roy Bhowmik, S. K.; Sen Roy, S.

524.#.#.a: Roy Bhowmik, S. K., et al. (2006). Principal Component Analysis to study spatial variability of errors in the INSAT derived quantitative precipitation estimates over Indian monsoon region. Atmósfera; Vol. 19 No. 4, 2006. Recuperado de https://repositorio.unam.mx/contenidos/4122353

245.1.0.a: Principal Component Analysis to study spatial variability of errors in the INSAT derived quantitative precipitation estimates over Indian monsoon region

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

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

264.#.0.c: 2006

264.#.1.c: 2009-10-05

653.#.#.a: Principal Component Analysis; quantitative precipitation estimates; Indian monsoon; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE PRECIPITATION ESTIMATES; INDIAN MONSOON

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

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041.#.7.h: eng

520.3.#.a: n this paper, Principal Component Analysis has been applied to investigate the spatial variability of errors in the INSAT derived quantitative precipitation estimates (QPE) over the Indian monsoon region, using daily rainfall analysis (at the same resolution) for the period from 1 June to 30 August of summer monsoon 2001. The study shows that the QPE errors have certain spatial variability. The orographic rainfall is significantly underestimated along the Western Ghats and along the foothills of the Himalayas, where the root mean square errors are also very large. Otherwise, the performance of the QPE is reasonably good over the rest of the region. The first principal component, which explains about 5.1% of the variance, corresponds to the onset phase of the monsoon during June, when strong positive loadings dominate over the southern parts of the country. The second principal component explaining about 4.2% of the variance, has strong positive loading in the intermittent presence of the monsoon low pressure system over the east central parts of the country. The third principal component which explains 3.3% of the variance is associated with the monsoon trough at the normal position, and the fourth principal component which explains 3.1% of the variance is associated with the monsoon trough at the southern position.

773.1.#.t: Atmósfera; Vol. 19 No. 4 (2006)

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

046.#.#.j: 2021-10-20 00:00:00.000000

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

310.#.#.a: Trimestral

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

handle: 00d33b4c7bbe8134

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

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245.1.0.b: Principal Component Analysis to study spatial variability of errors in the INSAT derived quantitative precipitation over Indian monsoon region

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Artículo

Principal Component Analysis to study spatial variability of errors in the INSAT derived quantitative precipitation estimates over Indian monsoon region

Roy Bhowmik, S. K.; Sen Roy, S.

Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Roy Bhowmik, S. K., et al. (2006). Principal Component Analysis to study spatial variability of errors in the INSAT derived quantitative precipitation estimates over Indian monsoon region. Atmósfera; Vol. 19 No. 4, 2006. Recuperado de https://repositorio.unam.mx/contenidos/4122353

Descripción del recurso

Autor(es)
Roy Bhowmik, S. K.; Sen Roy, S.
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Principal Component Analysis to study spatial variability of errors in the INSAT derived quantitative precipitation estimates over Indian monsoon region
Fecha
2009-10-05
Resumen
n this paper, Principal Component Analysis has been applied to investigate the spatial variability of errors in the INSAT derived quantitative precipitation estimates (QPE) over the Indian monsoon region, using daily rainfall analysis (at the same resolution) for the period from 1 June to 30 August of summer monsoon 2001. The study shows that the QPE errors have certain spatial variability. The orographic rainfall is significantly underestimated along the Western Ghats and along the foothills of the Himalayas, where the root mean square errors are also very large. Otherwise, the performance of the QPE is reasonably good over the rest of the region. The first principal component, which explains about 5.1% of the variance, corresponds to the onset phase of the monsoon during June, when strong positive loadings dominate over the southern parts of the country. The second principal component explaining about 4.2% of the variance, has strong positive loading in the intermittent presence of the monsoon low pressure system over the east central parts of the country. The third principal component which explains 3.3% of the variance is associated with the monsoon trough at the normal position, and the fourth principal component which explains 3.1% of the variance is associated with the monsoon trough at the southern position.
Tema
Principal Component Analysis; quantitative precipitation estimates; Indian monsoon; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE PRECIPITATION ESTIMATES; INDIAN MONSOON
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

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