1
informe técnico
This report briefly describes how SENAMHI (http://www.senamhi.gob.pe/) obtained local projections of precipitation/ maximum/minimum temperature (daily data up to 2065) for 265/105/102 selected stations over Peru, needed for the completion of tasks within the Component I of the AMICAF project. In particular, an analog‐ (regression‐) based technique was applied to generate an ensemble of six ‘plausible’ projections of precipitation (temperatures), considering three different Earth System Models and two Representative Concentration Pathways. The tool used to this aim was the Statistical Downscaling Portal (https://www.meteo.unican.es/downscaling/intro.html) developed and maintained by Predictia Intelligent Data Solutions (http://www.predictia.es/en/home) and the Meteorology Group of the University of Cantabria (http://www.meteo.unican.es/en/main). The Component I of AMICAF Peru prov...
2
artículo
Relative homogenization methods assume that measurements of nearby stations experience similar climate signals and rely therefore on dense station networks with high-temporal correlations. In developing countries such as Peru, however, networks often suffer from low-station density. The aim of this study is to quantify the influence of network density on homogenization. To this end, the homogenization method HOMER was applied to an artificially thinned Swiss network. Four homogenization experiments, reflecting different homogenization approaches, were examined. Such approaches include diverse levels of interaction of the homogenization operators with HOMER, and different application of metadata. To evaluate the performance of HOMER in the sparse networks, a reference series was built by applying HOMER under the best possible conditions. Applied in completely automatic mode, HOMER decreas...
3
objeto de conferencia
Hydrological hazards related to flash floods (FF) in Peru have caused many economic and human life losses in recent years. In this context, developing complete early warning systems against FF is necessary to cope impacts. For this purpose, hydrological and hydraulic models coupled to numerical weather models (NWM) that provide forecasts are generally used. In this sense, the National Meteorological and Hydrological Service of Peru (SENAMHI) has launched the ANDES initiative (Operational Forecasting System for Flash Floods of SENAMHI in English) to support FF events.
4
objeto de conferencia
Publicado 2020
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In the southern Peruvian Andes, climatic threats such as water scarcity or frost pose major challenges for agriculture. Such events may result in severe yield losses threatening the livelihood of smallholder farmers due to missing adaptive and coping strategies. Knowledge on climate variability and change, on the current state of the climate, as well as short- to midrange predictions potentially improve the farmers’ risk management. However, such knowledge is only partly available and often does not reach rural communities. Climandes, a pilot project of the Global Framework for Climate Services, tackled these shortcomings through the enhancement of climatological observations, the production of gridded datasets using satellite and station observations, the verification of seasonal forecasts to determine their usefulness for small-scale applications, and through the establishment of com...
5
artículo
Publicado 2017
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In situ climatological observations are essential for studies related to climate trends and extreme events. However, in many regions of the globe, observational records are affected by a large number of data quality issues. Assessing and controlling the quality of such datasets is an important, often overlooked aspect of climate research. Besides analysing the measurement data, metadata are important for a comprehensive data quality assessment. However, metadata are often missing, but may partly be reconstructed by suitable actions such as station inspections. This study identifies and attributes the most important common data quality issues in Bolivian and Peruvian temperature and precipitation datasets. The same or similar errors are found in many other predominantly manned station networks worldwide. A large fraction of these issues can be traced back to measurement errors by the obse...
6
artículo
CLIMANDES is a pilot twinning project between the National Weather Services of Peru and Switzerland (SENAMHI and MeteoSwiss), developed within the Global Framework for Climate Services of the World Meteorological Organization (WMO). Split in two modules, CLIMANDES aims at improving education in meteorology and climatology in support of the WMO Regional Training Center in Peru, and introducing user-tailored climate services in two pilot regions in the Peruvian Andes. Four areas were prioritized in the first phase of CLIMANDES lasting from 2012 to 2015 to introduce climate services in Peru. A demand study identified the user needs of climate services and showed that climate information must be reliable, of high-quality, and precise. The information should be accessible and timely, understandable and applicable for the users’ specific needs. Second, the quality of climate data was enhance...
7
artículo
Publicado 2013
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In this study, we present the collation and analysis of the gridded land-based dataset ofindices of temperature and precipitation extremes: HadEX2. Indices were calculated based onstation data using a consistent approach recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices, resulting in theproduction of 17 temperature and 12 precipitation indices derived from daily maximum andminimum temperature and precipitation observations. High-quality in situ observations fromover 7000 temperature and 11,000 precipitation meteorological stations across the globe wereobtained to calculate the indices over the period of record available for each station. Monthlyand annual indices were then interpolated onto a 3.75 x 2.5 longitude-latitude grid over theperiod 1901–2010. Linear trends in the gridded fields were computed and tested for statisti...
8
informe técnico
Publicado 2021
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La Nota Técnica presenta los lineamientos para el diseño del sistema integrado de sistemas de vigilancia y pronóstico hidrometeorológico con fines de alerta temprana, principalmente ante inundaciones, y movimientos en masa asociados a lluvias, en ríos y quebradas con enfoque multi-peligros, multi-regional y en múltiples escalas temporales a fin de brindar información oportuna para la toma de decisiones, siendo de aplicación en las cuencas priorizadas por la Reconstrucción con Cambios en los departamentos de Tumbes, Piura, Lambayeque, La Libertad, Ancash, Lima e Ica.
