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Assessment of Different WRF Configurations Performance for a Rain Event over Panama

Atmospheric and Climate Sciences 2020年第3期10卷 280-297页

作者： Maibys Sierra-Lorenzo Arnoldo Bezanilla-Morlot Abel Dionisio Centella-Artola Anisbel León-Marcos Israel Borrajero-Montejo Adrián Luis Ferrer-Hernández Jesús Leonel Salazar-Gaitán Alcely Lau-Melo Freddy Picado-Traña Joel Pérez-Fernández center for Atmospheric Physics Meteorology Institute La Habana Cuba Sección de Recursos Hídricos Autoridad del Canal de Panama Panama City Panama Dirección de Hidrometeorología Empresa de Transmisión Eléctrica S.A. Panama City Panama water center for the humid tropics of latin america and the caribbean Panama City Panama

A set of 15 combinations of microphysics and cumulus parameterizations for the WRF numerical model were tested in the forecast of a rain event on January 16 2018 over Panama. GPM satellite, upper air soundings and ground weather stations were used to evaluate the performance of each configuration. Different metrics were used to obtain the configurations that produced the best forecasts. The analysis showed a strong fluctuation of the diurnal precipitation cycle from one region to another. From the set of tests carried, BMJ with Morrison performed slightly above the other combinations in representing well the diurnal cycle for some domain areas, followed by Thom-Gr, WSM6-BMJ and WSM6-KF. While the experiments had a better performance forecasting over sea, they were not able to match the highest values of total precipitation. Regarding spatial rain distribution, all BMJ cumulus combinations showed the best skills mainly over the area comprising the Panama Canal while the others tended to overestimate the rain. Finally, most BMJ experiments showed the highest correlation factor and performed quite well representing the vertical profiles of relative humidity, temperature and wind.

关键词： Parameterization Microphysics WRF Rain

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A High-Resolution Modeling Strategy to Assess Impacts of Climate Change for Mesoamerica and the caribbean

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american Journal of Climate Change 2016年第2期5卷 202-228页

作者： Robert Oglesby Clinton Rowe Alfred Grunwaldt Ines Ferreira Franklyn Ruiz Jayaka Campbell Luis Alvarado Francisco Argenal Berta Olmedo Alejandro del Castillo Pilar Lopez Edwards Matos Yosef Nava Carlos Perez Joel Perez Department of Earth and Atmospheric Sciences University of Nebraska Lincoln NE USA Climate Change and Sustainability Division Inter-American Development Bank Washington DC USA Instituto de Hidrología Meteorología y Estudios Ambientales de Colombia Bogota Colombia University of the West Indies Kingston Jamaica Instituto Meteorológico Nacional Costa Rica San Jose Costa Rica Servicio Meteorológico Nacional de Honduras Dirección General de Aeronáutica Civil Tegucigalpa Honduras Empresa de Transmisión Eléctrica Paname?a Ciudad de Panamá Panamá water center for the humid tropics of latin america and the caribbean (CATHALAC) Ciudad de Panamá Panamá Unidad de Análisis Meteorológico Empresa de Transmisión Eléctrica Paname?a Ciudad de Panamá Panamá Instituto Nacional de Ecología y Cambio Climático Mexico City Mexico National Weather Service MARN San Salvador El Salvador

Mesoamerica and the caribbean are low-latitude regions at risk for the effects of climate change. Global climate models provide large-scale assessment of climate drivers, but, at a horizontal resolution of 100 km, cannot resolve the effects of topography and land use as they impact the local temperature and precipitation that are keys to climate impacts. We developed a robust dynamical downscaling strategy that used the WRF regional climate model to downscale at 4 - 12 km resolution GCM results. Model verification demonstrates the need for such resolution of topography in order to properly simulate temperatures. Precipitation is more difficult to evaluate, being highly variable in time and space. Overall, a 36 km resolution is inadequate;12 km appears reasonable, especially in regions of low topography, but the 4 km resolution provides the best match with observations. This represents a tradeoff between model resolution and the computational effort needed to make simulations. A key goal is to provide climate change specialists in each country with the information they need to evaluate possible future climate change impacts.

关键词： Regional Climate Models Dynamical Downscaling Strategy Mesoamerica and caribbean Climate Change

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A Clearinghouse for Genome-Edited Crops and Field Testing

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Molecular Plant 2021年第1期14卷 3-5页

作者： Angela Fernando Michael Selvaraj Paul Chavarriaga Sandra Valdes Joe Tohme The Alliance of Bioversity International and International center for Tropical Agriculture(CIAT) Km 17 Recta Cali-PalmiraApartado Aereo 6713763537 CaliColombia

latin america was commonly called"sleeping giant"for its humid tropics and land base relative to its population *** International center for Tropical Agriculture(ClAT,*** Spanish acronym)was initiated in 1967 to serve three important zones-coastal plains,savannahs,and“hot,humid jungles.”In line,the research areas were organized to be fitted as appropriate into these important ecological *** the 50 years,CIAT has been a forerunner in developing and disseminating improved crop varieties and agricultural technologies,including its pioneering approaches in the tropics.

关键词： initiated fitted plain

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