Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variables

There is increasing interest in meteorological information and its application to strategic planning at the farm as well as regional level. Although we have recently seen significant improvements to strengthen and enlarge networks of weather observations, their density is still insufficient to cover...

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Autores principales:	Silva,Daniel O, Meza,Francisco J, Varas,Eduardo
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2009
Materias:	Agroclimatological variables Maipo river basin MM5 data MOS
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000300004
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spelling	oai:scielo:S0718-162020090003000042010-09-06Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variablesSilva,Daniel OMeza,Francisco JVaras,Eduardo Agroclimatological variables Maipo river basin MM5 data MOS There is increasing interest in meteorological information and its application to strategic planning at the farm as well as regional level. Although we have recently seen significant improvements to strengthen and enlarge networks of weather observations, their density is still insufficient to cover large extents at the desired spatial and temporal resolution. Climate scientists have developed and used mesoscale models to understand and predict future atmospheric conditions. These models represent a major contribution to objective weather forecasts throughout numerical simulations. They use global circulation outputs as boundary conditions and can be run in a nested manner so as to increase their spatial resolution. Because of this, we can obtain information about weather variables in grid cells spaced 15 km apart covering important areas and providing information in places where analog or automatic stations are not available. The objective of this work is to evaluate the use of raw data from the MM5 mesoscale model as well as MOS-corrected information (a statistical post-processing of MM5 outputs) as a proxy for surface meteorological data. Temperature, wind speed, relative humidity, and daily solar radiation forecasts were evaluated for eleven stations in the Maipo river basin. In all cases, the MOS forecast produced better results than the raw MM5 data. Determination coefficients reached values near 0.9, and the RMSE was usually smaller for MOS-corrected data. The small variability of the MOS parameters allows their use as regional values to estímate meteorological data for the whole region, particularly at a weekly time step.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.36 n.3 20092009-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000300004en10.4067/S0718-16202009000300004
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Agroclimatological variables Maipo river basin MM5 data MOS
spellingShingle	Agroclimatological variables Maipo river basin MM5 data MOS Silva,Daniel O Meza,Francisco J Varas,Eduardo Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variables
description	There is increasing interest in meteorological information and its application to strategic planning at the farm as well as regional level. Although we have recently seen significant improvements to strengthen and enlarge networks of weather observations, their density is still insufficient to cover large extents at the desired spatial and temporal resolution. Climate scientists have developed and used mesoscale models to understand and predict future atmospheric conditions. These models represent a major contribution to objective weather forecasts throughout numerical simulations. They use global circulation outputs as boundary conditions and can be run in a nested manner so as to increase their spatial resolution. Because of this, we can obtain information about weather variables in grid cells spaced 15 km apart covering important areas and providing information in places where analog or automatic stations are not available. The objective of this work is to evaluate the use of raw data from the MM5 mesoscale model as well as MOS-corrected information (a statistical post-processing of MM5 outputs) as a proxy for surface meteorological data. Temperature, wind speed, relative humidity, and daily solar radiation forecasts were evaluated for eleven stations in the Maipo river basin. In all cases, the MOS forecast produced better results than the raw MM5 data. Determination coefficients reached values near 0.9, and the RMSE was usually smaller for MOS-corrected data. The small variability of the MOS parameters allows their use as regional values to estímate meteorological data for the whole region, particularly at a weekly time step.
author	Silva,Daniel O Meza,Francisco J Varas,Eduardo
author_facet	Silva,Daniel O Meza,Francisco J Varas,Eduardo
author_sort	Silva,Daniel O
title	Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variables
title_short	Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variables
title_full	Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variables
title_fullStr	Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variables
title_full_unstemmed	Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variables
title_sort	use of mesoscale model mm5 forecasts as proxies for surface meteorological and agroclimatic variables
publisher	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate	2009
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000300004
work_keys_str_mv	AT silvadanielo useofmesoscalemodelmm5forecastsasproxiesforsurfacemeteorologicalandagroclimaticvariables AT mezafranciscoj useofmesoscalemodelmm5forecastsasproxiesforsurfacemeteorologicalandagroclimaticvariables AT varaseduardo useofmesoscalemodelmm5forecastsasproxiesforsurfacemeteorologicalandagroclimaticvariables
_version_	1714202119198736384

Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variables

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