Executive Summary: Climate teleconnections show large-scale, remote relationships between distant points on Earth. They are known to produce anomalies and variability in the precipitation of a region. His study is related to the ability to anticipate flood and drought events, which have an impact on agricultural activities, risk management and hydroelectric power production.
In Ecuador, the most studied climate teleconnection has been the one related to ENSO, through the index of the Niño 1+2 region, and to a lesser degree in the Sierra with the Niño 3.4 region. Other types of teleconnections have been scarcely studied and without spatial continuity. Therefore, the objective of this project is to explore, capture and spatially represent the climatic teleconnections with the precipitation of Ecuador, taking as premises the broad and systematic exploration of different climatic indices and the analysis in the three regions of our country from images precipitation satellites with spatial continuity that have been previously corrected with a 5km scale reduction. The project will be carried out by the University of Azuay, the University of Cuenca and the National Polytechnic School. The computational analyzes will be carried out through methods based on signal decomposition techniques, statistical methods to detect teleconnections, causality search methods and cartographic methods to spatially represent teleconnections. Due to the high computational cost of the analyses, high-performance processing will be used through the CEDIA Cluster. The results of the project will contribute to the knowledge of the spatial distribution of the teleconnections, which in turn will contribute to the knowledge about the climatological dynamics in our country.
General Objective: Explore, capture and spatially represent the climatic teleconnections with the precipitation of Ecuador, to contribute to the identification of the climatic factors that have the greatest influence on the variability of precipitation in the different regions of the country and to quantify their influence to assist in the future construction of operational forecasting systems.
Specific objectives
- Apply methods based on signal decomposition techniques.
- Apply statistical methods to detect teleconnections.
- Explore methods of teleconnection causality searches.
- Spatial representation of the detected teleconnections.
Participating Institutions:
UDA, UC, EPN.
Participants:
Project manager Daniela Ballari.
- Daniela Ballari
- Omar Delgado
- Stephen Samaniego
- Mark Villacis
- Lenin Campozano
Awarded budget: $42308
Project status: Signing of agreements.
