Cite as:
Guallpa, M.; Orellana-Alvear, J. &amp; Bendix, J. (2019): <b>Tropical Andes Radar Precipitation Estimates Need High Temporal and Moderate Spatial Resolution</b>. <i>Water</i> <b>11</b>(5), 1-22.

Resource Description

Title: Tropical Andes Radar Precipitation Estimates Need High Temporal and Moderate Spatial Resolution
FOR816dw ID: 333
Publication Date: 2019-01-01
License and Usage Rights:
Resource Owner(s):
Individual: Mario Guallpa
Individual: Johanna Orellana-Alvear
Individual: Jörg Bendix
Weather radar networks are an excellent tool for quantitative precipitation estimation<br/> (QPE), due to their high resolution in space and time, particularly in remote mountain areas such as<br/> the Tropical Andes. Nevertheless, reduction of the temporal and spatial resolution might severely<br/> reduce the quality of QPE. Thus, the main objective of this study was to analyze the impact of spatial<br/> and temporal resolutions of radar data on the cumulative QPE. For this, data from the world’s highest<br/> X-band weather radar (4450 m a.s.l.), located in the Andes of Ecuador (Paute River basin), and from<br/> a rain gauge network were used. Dierent time resolutions (1, 5, 10, 15, 20, 30, and 60 min) and<br/> spatial resolutions (0.5, 0.25, and 0.1 km) were evaluated. An optical flow method was validated<br/> for 11 rainfall events (with dierent features) and applied to enhance the temporal resolution of<br/> radar data to 1-min intervals. The results show that 1-min temporal resolution images are able to<br/> capture rain event features in detail. The radar–rain gauge correlation decreases considerably when<br/> the time resolution increases (r from 0.69 to 0.31, time resolution from 1 to 60 min). No significant<br/> dierence was found in the rain total volume (3%) calculated with the three spatial resolution data.<br/> A spatial resolution of 0.5 km on radar imagery is suitable to quantify rainfall in the AndesMountains.<br/> This study improves knowledge on rainfall spatial distribution in the Ecuadorian Andes, and it will<br/> be the basis for future hydrometeorological studies.
| rainfall | Radar | Cajas | Cuenca | Paute |
Literature type specific fields:
Journal: Water
Volume: 11
Issue: 5
Page Range: 1-22
Metadata Provider:
Individual: Jörg Bendix
Online Distribution:
Download File:

Quick search

  • Publications:
  • Datasets: