Documenting the heterogeneity of rainfall regimes is a prerequisite for water resources management, mitigation risks associated to extremes weather events and impact studies. In this paper, we present method regionalization over Peruvian Pacific slope coast, which main economic zone country concentrates almost 50% population. Our approach based on two-step process k-means clustering followed by regional vector (RVM) applied network 145 stations covering period 1964–2011. The advantage...

A new gridded rainfall dataset available for Peru is introduced, called PISCOp V2.1 (Peruvian Interpolated data of SENAMHI's Climatological and Hydrological Observations). has been developed the period 1981 to present, with an average latency eight weeks at 0.1° spatial resolution. The merging algorithm based on geostatistical deterministic interpolation methods including three different sources: (i) national quality-controlled infilled raingauge dataset, (ii) radar-gauge merged...

Abstract In a context of water scarcity in Peruvian Pacific catchments as crucial issue for Peru, added to the paucity data availability, we propose methodology that provides new perspectives freshwater availability estimation base reference unimpaired conditions. Under those considerations, regional discharge 709 m 3 /s Ocean is estimated with significant increasing trend about 43 per decade over 1970 – 2010 period. To represent multidecadal behaviour runoff along region, analysis proposed...

Abstract. The El Niño and La Niña impacts on the hydrology of Peru were assessed based discharge data (1968–2006) 20 river catchments distributed over three drainage regions in Peru: 14 Pacific Coast (PC), 3 Lake Titicaca (TL) region, Amazonas (AM). To classify events, we used Southern Oscillation Index (SOI) hydrological years (September to August). Using SOI values, events re-classified as strong (SEN), moderate (MEN), normal (N), (MLN) (SLN). On average during SEN years, sharp increases...

Abstract Gridded high-resolution climate datasets are increasingly important for a wide range of modelling applications. Here we present PISCOt (v1.2), novel high spatial resolution (0.01°) dataset daily air temperature entire Peru (1981–2020). The development involves four main steps: (i) quality control; (ii) gap-filling; (iii) homogenisation weather stations, and (iv) interpolation using additional data, revised calculation sequence an enhanced version control. This improved...

The following article pertains to use the first observed hourly precipitation records and estimated by satellites, such as: global measurement—GPM (0.1°×0.1°) remotely sensed information using artificial neural networks—PERSIANN (0.04°×0.04°) for flow simulation. For modelling process, GR4H included in airGR package was used, which is a free code developed R. calibration processes were carried out considering hydrological temporary simulation frame (1h, 3h, …, 24h; where: h=hour). study area...

El presente articulo esta orientado al analisis comparativo de diferentes modelos hidrologicos en la cuenca del rio Chillon. Esta cuenca, ubicada aproximadamente a 130 kilometros sur ciudad Lima, fue seleccionada para evaluar capacidad simulacion los Genie Rural 4 parametres Journalier (GR4J), Soil Contribution (SOCONT), Hydrologiska Byrans Vattenbalansavdelning (HBV) y Sacramento Moisture Accounting (SAC); considerando un enfoque modelizacion conceptual semidistribuida. Se utilizo ello el...

<p>Hydrological hazards related to flash floods (FF) in Peru have caused many economic and human life losses recent years. In this context, developing complete early warning systems against FF is necessary cope impacts. For purpose, hydrological hydraulic models coupled numerical weather (NWM) that provide forecasts are generally used.</p><p>In sense, the National Meteorological Hydrological Service of (SENAMHI) has launched ANDES initiative...

<p>Surface water resources in Peru show high spatio-temporal variability, being the prediction of streamflow at ungauged sites, one fundamental challenges today.  This research presents a methodology for regional parameter estimation national scale using SWAT (Soil and Water Assessment Tools) model, with goal estimating three hydrographic regions Peru: Pacific, Titicaca Amazonas. Hydrological models were calibrated observed discharge data which is sparse poorly...

<p>In Peru, heavy precipitations (PR) are the second natural phenomenon with greatest number of people affected in recent decades. Landslides (known as “huaycos” Peru) mostly produced by PR and located overall on Andes mountains. In this regard, to monitoring inform advance about most susceptible regions landslides, National Service Meteorology Hydrology Peru (SENAMHI) has launched national system for landslides PR, called SILVIA...

<p>The Peruvian Service of Meteorology and Hydrology (SENAMHI) provides hydro-climatological hazard information to population decision-makers about flood forecasting warning on the whole territory Peru. For flash floods monitoring, a sub-daily simulation is critical properly address response watershed prepare timely warnings. Over last years, city Tumbes has been affected by overflowing Puyango-Tumbes river, which born in Ecuador flows northwestern this reason, aim work develop...

Gridded high-resolution climate datasets are increasingly important for a wide range of modelling applications. Here we present PISCOt (v1.2), novel high spatial resolution (0.01°) dataset daily air temperature entire Peru (1981-2020). The development involves four main steps: i) quality control; ii) gap-filling; iii) homogenisation weather stations, and iv) interpolation using additional data, revised calculation sequence an enhanced version control. This improved methodological framework...

The objective of this work is to estimate regional rainfall thresholds obtained from a combination high-resolution gridded data and debris flow events. events were associated with data, determining triggering non-triggering method for the based on an empirical–statistical approach, predictive performance evaluated whit “true skill statistics”. validation was carried out by selecting one year dataset focus operability evaluation in early warning systems Peru. In...

<p>In recent years, there has been an increasing interest in estimate future conditions on biomes and aridity due to climate change. Using a new observed-based gridded dataset remote sensing products, we evaluate the features terms of potential (PB) index (AI) over Peru. </p><p>Ten PBs were established for present by grouping ecosystems maps at national scale. The map presents within areas from 1.08 42.44% total coverage. In order handle...