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An enhanced downscaling methodology for the elaboration of high-resolution climate scenarios for Peru to 2050
(Servicio Nacional de Meteorología e Hidrología del PerúPE, 2022-06)
This study aims to describe a downscaling method for the generation of high-resolution climate scenarios for Peru using data from Global Circulation Models (GCM). The approach is based on the combination of dynamical ...
Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador
(2016)
Downscaling improves considerably the results of General Circulation Models (GCMs). However, little information is available on the performance of downscaling methods in the Andean mountain region. The paper presents the ...
Análisis comparativo de Downscaling estadístico y dinámico en las cuencas de los ríos Paute y Jubones
(2015)
Global circulation models are a powerful tool for climate prediction. The coarse scale of their results makes them difficult to apply to decision-making processes at local and regional level. Aiming at the incorporation ...
Downscaling With Constructed Analogues: Daily Precipitation and Temperature Fields Over The United States
(2008-01)
Daily precipitation and average temperature patterns for the contiguous United States were
downscaled from a 2.5 x 2.5 degree (coarse) resolution grid to a 1/8 x 1/8 degree (fine) resolution
grid using a constructed‐analogues ...
Downscaling With Constructed Analogues: Daily Precipitation and Temperature Fields Over The United States
(2008-01)
Daily precipitation and average temperature patterns for the contiguous United States were
downscaled from a 2.5 x 2.5 degree (coarse) resolution grid to a 1/8 x 1/8 degree (fine) resolution
grid using a constructed‐analogues ...
Effectiveness of causality-based predictor selection for statistical downscaling: a case study of rainfall in an Ecuadorian Andes basin
(2022)
Downscaling aims to take large-scale information and map it to smaller scales to reproduce local climate signals. An essential step in implementing a parsimonious downscaling model is the selection of a subset of relevant ...
Utility of daily vs. monthly large-scale climate data: an intercomparison of two statistical downscaling methods
(2008-03-13)
Downscaling of climate model data is essential to local and regional impact analysis. We compare two methods of statistical downscaling to produce continuous, gridded time series of precipitation and surface air temperature ...
Utility of daily vs. monthly large-scale climate data: an intercomparison of two statistical downscaling methods
(2008-03-13)
Downscaling of climate model data is essential to local and regional impact analysis. We compare two methods of statistical downscaling to produce continuous, gridded time series of precipitation and surface air temperature ...
Support vector regression to downscaling climate big data: an application for precipitation and temperature future projection assessment
(Springer Nature Switzerland AG 2020, 2020)
The techniques for downscaling climatic variables are essential to support tools for water resources planning and management in a climate change context in the entire world. Support vector machines (SVM) through regression ...