dor_id: 11084

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/8501/7971

100.1.#.a: Rajan, D.; Simón, B.; Joshi, P. C.; Bhatia, V. B.; Mitra, A. K.; Paliwal, R. K.

524.#.#.a: Rajan, D., et al. (2002). Impact of NOAA/TOVS derived moisture profile over the ocean on global data assimilation and medium range weather forecasting. Atmósfera; Vol. 15 No. 4, 2002. Recuperado de https://repositorio.unam.mx/contenidos/11084

245.1.0.a: Impact of NOAA/TOVS derived moisture profile over the ocean on global data assimilation and medium range weather forecasting

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

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

264.#.0.c: 2002

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

653.#.#.a: MOISTURE; SATELLITE; TOVS; NOAA; Moisture; satellite; TOVS; NOAA

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/8501

001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/8501

041.#.7.h: eng

520.3.#.a: A realistic three-dimensional distribution of moisture in the initial condition is essential for successful numerical weather prediction. The moisture profile serves as direct input to any forecast model. Since the ocean surrounding the Indian sub-continent is one of the enormous data sparse regions in the tropics, the remotely sensed data is an important source of meteorological information, used at various operational numerical weather prediction centers for preparing initial conditions. The temperature and moisture sounding data from the Television and Infrared Observation Satellite (TIROS) and the Operational Vertical Center (TOVS) onboard the National Oceanographic Atmospheric Administration (NOAA) polar orbiting satellite is being routinely received at National Centre for Medium Range Weather Forecasting (NCMRWF) through the Global Telecommunication System (GTS). Moisture information is available at three broad layers. In the present study an attempt has been made to derive a humidity profile from the NOAA polar orbiting satellite by the variable scale height algorithm. These profiles derived at standard pressure levels are validated with coinciding radiosonde observations, other humidity estimations, and analysis. The validation indicates that the percentage of root mean square (r.m.s) error is less than 10. The impact of these moisture profiles is examined in the NCMRWF analysis and forecast system for the June 1997 period. A positive impact of this TOVS derived moisture in the forecast of onset of monsoon-97 is noticed. Some of the results during the monsoon lows and depression arc also presented for the same period. In particular the rainfall forecast for 20th June, 1997 has improved.

773.1.#.t: Atmósfera; Vol. 15 No. 4 (2002)

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: 00ac89f761d30bb2

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

856.#.0.q: application/pdf

245.1.0.b: Impact of NOAA/TOVS derived moisture profile over the ocean on global data assimilation and medium range weather forecasting

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

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

license_type: by-nc

_deleted_conflicts: 2-d39189b61853cf00f02e5465e856fa28

No entro en nada

No entro en nada 2

Artículo

Impact of NOAA/TOVS derived moisture profile over the ocean on global data assimilation and medium range weather forecasting

Rajan, D.; Simón, B.; Joshi, P. C.; Bhatia, V. B.; Mitra, A. K.; Paliwal, R. K.

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

Rajan, D., et al. (2002). Impact of NOAA/TOVS derived moisture profile over the ocean on global data assimilation and medium range weather forecasting. Atmósfera; Vol. 15 No. 4, 2002. Recuperado de https://repositorio.unam.mx/contenidos/11084

Descripción del recurso

Autor(es)
Rajan, D.; Simón, B.; Joshi, P. C.; Bhatia, V. B.; Mitra, A. K.; Paliwal, R. K.
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Impact of NOAA/TOVS derived moisture profile over the ocean on global data assimilation and medium range weather forecasting
Fecha
2009-10-05
Resumen
A realistic three-dimensional distribution of moisture in the initial condition is essential for successful numerical weather prediction. The moisture profile serves as direct input to any forecast model. Since the ocean surrounding the Indian sub-continent is one of the enormous data sparse regions in the tropics, the remotely sensed data is an important source of meteorological information, used at various operational numerical weather prediction centers for preparing initial conditions. The temperature and moisture sounding data from the Television and Infrared Observation Satellite (TIROS) and the Operational Vertical Center (TOVS) onboard the National Oceanographic Atmospheric Administration (NOAA) polar orbiting satellite is being routinely received at National Centre for Medium Range Weather Forecasting (NCMRWF) through the Global Telecommunication System (GTS). Moisture information is available at three broad layers. In the present study an attempt has been made to derive a humidity profile from the NOAA polar orbiting satellite by the variable scale height algorithm. These profiles derived at standard pressure levels are validated with coinciding radiosonde observations, other humidity estimations, and analysis. The validation indicates that the percentage of root mean square (r.m.s) error is less than 10. The impact of these moisture profiles is examined in the NCMRWF analysis and forecast system for the June 1997 period. A positive impact of this TOVS derived moisture in the forecast of onset of monsoon-97 is noticed. Some of the results during the monsoon lows and depression arc also presented for the same period. In particular the rainfall forecast for 20th June, 1997 has improved.
Tema
MOISTURE; SATELLITE; TOVS; NOAA; Moisture; satellite; TOVS; NOAA
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces