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Hydrometeorological hazards have historically affected Central America and significantly impacted the isthmus. However, the spatial distribution of those impacts is heterogeneous and depends on several factors, such as storm trajectories and community vulnerability. To address the spatial distribution of impacts related with historical events, Honduras was used as a case study. This paper was aimed at identifying the municipalities most impacted by the hydrometeorological events and at studying their correlation with socioeconomic variables. Impacts recorded from 1919 to 2012 were collected from the DesInventar and EM-DAT databases. Data was georeferenced using a Geographical Information System and the information was disaggregated at local government scale. Spearman spatial correlation were calculated between physical variables and socioeconomic indices. The municipalities that reported more impacts included La Ceiba, Choluteca, Francisco Morazán and Yoro. Three hazards were found and the most important regarding impacts: cold fronts or outbreaks, tropical cyclones and easterly waves. The first type was more common during boreal winter, while the last two hazards were normally found during boreal spring-summer-autumn. Population and poverty were the social variables with the highest correlation with impacts. The analysis showed that spatial distribution of impacts related with hydrometeorological causes cannot be explained solely by climate causes. Therefore, other variables, such as socioeconomic should also be considered in analyses of these types of impact.Keywords: Climate, impacts, hydrometeorology, Honduras, Central America. ResumenLas amenazas hidrometeorológicas han afectado históricamente América Central y generado muchos impactos en el istmo. Sin embargo, la distribución especial de estos impactos es heterogénea y depende de varios factores, tales como la trayectoria de las tormentas y la vulnerabilidad de la comunidad. Para analizar la distribución de los impactos relacionados con eventos históricos, se usó Honduras como un estudio de caso. El objetivo de este estudio fue identificar las municipalidades más impactadas por eventos hidrometeorológicos y estudiar sus correlaciones con variables socioeconómicas. Se recolectaron los impactos del periodo 1919-2012 de las bases de datos DesInventar y EMDAT. Los datos fueron georeferenciados usando un Sistema de Información Geográfica y la información fue desagregada a una escala de gobierno local. Se calcularon las correlaciones espaciales de Spearman entre las variables físicas y los índices socioeconómicos. Las municipalidades que reportaron mayores impactos incluyen a La Ceiba, Choluteca, Francisco Morazán y Yoró. Se encontró que tres amenazas fueron las más importantes en asociación con los impactos: frentes o empujes fríos, ciclones tropicales y ondas del este o tropicales. La ocurrencia de los primeros fue más común durante el invierno boreal, mientras que la de los otros dos fue normalmente durante la primavera, verano y otoño boreal. La po...
Hydrometeorological hazards have historically affected Central America and significantly impacted the isthmus. However, the spatial distribution of those impacts is heterogeneous and depends on several factors, such as storm trajectories and community vulnerability. To address the spatial distribution of impacts related with historical events, Honduras was used as a case study. This paper was aimed at identifying the municipalities most impacted by the hydrometeorological events and at studying their correlation with socioeconomic variables. Impacts recorded from 1919 to 2012 were collected from the DesInventar and EM-DAT databases. Data was georeferenced using a Geographical Information System and the information was disaggregated at local government scale. Spearman spatial correlation were calculated between physical variables and socioeconomic indices. The municipalities that reported more impacts included La Ceiba, Choluteca, Francisco Morazán and Yoro. Three hazards were found and the most important regarding impacts: cold fronts or outbreaks, tropical cyclones and easterly waves. The first type was more common during boreal winter, while the last two hazards were normally found during boreal spring-summer-autumn. Population and poverty were the social variables with the highest correlation with impacts. The analysis showed that spatial distribution of impacts related with hydrometeorological causes cannot be explained solely by climate causes. Therefore, other variables, such as socioeconomic should also be considered in analyses of these types of impact.Keywords: Climate, impacts, hydrometeorology, Honduras, Central America. ResumenLas amenazas hidrometeorológicas han afectado históricamente América Central y generado muchos impactos en el istmo. Sin embargo, la distribución especial de estos impactos es heterogénea y depende de varios factores, tales como la trayectoria de las tormentas y la vulnerabilidad de la comunidad. Para analizar la distribución de los impactos relacionados con eventos históricos, se usó Honduras como un estudio de caso. El objetivo de este estudio fue identificar las municipalidades más impactadas por eventos hidrometeorológicos y estudiar sus correlaciones con variables socioeconómicas. Se recolectaron los impactos del periodo 1919-2012 de las bases de datos DesInventar y EMDAT. Los datos fueron georeferenciados usando un Sistema de Información Geográfica y la información fue desagregada a una escala de gobierno local. Se calcularon las correlaciones espaciales de Spearman entre las variables físicas y los índices socioeconómicos. Las municipalidades que reportaron mayores impactos incluyen a La Ceiba, Choluteca, Francisco Morazán y Yoró. Se encontró que tres amenazas fueron las más importantes en asociación con los impactos: frentes o empujes fríos, ciclones tropicales y ondas del este o tropicales. La ocurrencia de los primeros fue más común durante el invierno boreal, mientras que la de los otros dos fue normalmente durante la primavera, verano y otoño boreal. La po...
This study explores the predictive skill of seasonal rainfall characteristics for the first rainy (and planting) season, May–June, in Central America. Statistical predictive models were built using a Model Output Statistics (MOS) technique based on canonical correlation analysis, in which variables that forecast with the Climate Forecast System version 2 (CFSv2) were used as candidate predictors for the observed total precipitation, frequency of rainy days and mean number of extremely dry and wet events in the season. CFSv2 initializations from February to April were explored. The CFSv2 variables used in the study consist of rainfall, as in a typical MOS technique, and a combination of low‐level winds and convective available potential energy (CAPE), a blend that has been previously shown to be a good predictor for convective activity. The highest predictive skill was found for the seasonal frequency of rainy days, followed by the mean frequency of dry events. In terms of candidate predictors, the zonal transport of CAPE (uCAPE) at 925 hPa offers higher skill across Central America than rainfall, which is attributed in part to the high model uncertainties associated with precipitation in the region. As expected, dynamical model predictors initialized in February provide lower skill than those initialized later. Nonetheless, the skill is comparable for March and April initializations. These results suggest that the National Meteorological and Hydrological Services in Central America, and the Central American Regional Climate Outlook Forum, can produce earlier more skilful forecasts for May–June rainfall characteristics than previously stated.
Climate services involve the generation, provision, and contextualization of information and knowledge derived from climate research for decision making at all levels of society. These services are mainly targeted at informing adaptation to climate variability and change, widely recognized as an important challenge for sustainable development. This paper reviews the development of climate services, beginning with a historical overview, a short summary of improvements in climate information, and a description of the recent surge of interest in climate service development including, for example, the Global Framework for Climate Services, implemented by the World Meteorological Organization in October 2012. It also reviews institutional arrangements of selected emerging climate services across local, national, regional, and international scales. By synthesizing existing literature, the paper proposes four design elements of a climate services evaluation framework. These design elements include: problem identification and the decision-making context; the characteristics, tailoring, and dissemination of the climate information; the governance and structure of the service, including the process by which it is developed; and the socioeconomic value of the service. The design elements are intended to serve as a guide to organize future work regarding the evaluation of when and whether climate services are more or less successful. The paper concludes by identifying future research questions regarding the institutional arrangements that support climate services and nascent efforts to evaluate them.
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