dor_id: 4120055
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/
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/8620/8090
100.1.#.a: Gochis, D. J.; Nesbitt, S. W.; Yu, W.; Williams, S. F.
524.#.#.a: Gochis, D. J., et al. (2009). Comparison of gauge-corrected versus non-gauge corrected satellite-based quantitative precipitation estimates during the. Atmósfera; Vol. 22 No. 1, 2009. Recuperado de https://repositorio.unam.mx/contenidos/4120055
245.1.0.a: Comparison of gauge-corrected versus non-gauge corrected satellite-based quantitative precipitation estimates during the
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
264.#.0.c: 2009
264.#.1.c: 2009-10-05
653.#.#.a: PRECIPITATION; REMOTE SENSING; LAND DATA ASSIMILATION; NORTH AMERICAN MONSOON; MÉXICO; HYDROLOGIC MODELING; Precipitation; remote sensing; land data assimilation; North American Monsoon; México; hydrologic modeling
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/8620
001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/8620
041.#.7.h: eng
520.3.#.a: Satellite-based quantitative precipitation estimates (QPE) offer the potential for global, near real-time monitoring of precipitation. Provided their accuracy, in terms of frequency and intensity structures, can be verified, such products would prove to be highly valuable for constraining uncertainty in land data assimilation, hydrological simulation and short-term prediction applications. Two gauge-corrected and three uncorrected satellite-based QPE products are assessed over México against a new composite gauge dataset developed from data collected during the 2004 North American Monsoon season. Analysis of daily averaged rain rates, rain-rate conditional biases, and frequency maps each show a tendency for uncorrected satellite QPE products to overestimate the frequency of moderate to heavy precipitation events (>25 mm/d) with respect to gauge-only analyses. While all products reasonably captured the large-scale distribution of rainfall, some uncorrected products, particularly those emphasizing infra-red based retrieval of rain rates, possessed comparatively low pattern correlation scores with the gauge composite. Although gauge-corrected products tended to somewhat underestimate rainfall at heavy event thresholds, significant value, in terms of overall bias correction, appears to be added to gauge-corrected QPE products versus uncorrected products. This added value, however, highlights ongoing challenges with regards to collecting and integrating surface gauge data in an operational QPE framework.
773.1.#.t: Atmósfera; Vol. 22 No. 1 (2009)
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: 162dc73afdfb9434
harvesting_date: 2023-06-20 16:00:00.0
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file_modification_date: 2009-01-09 19:47:30.0
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245.1.0.b: Comparison of gauge-corrected versus non-gauge corrected satellite-based quantitative precipitation estimates during the 2004
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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