Between Clouds, Carpathian Mountains-EUROPHOTOMETEO2012
Climhydex
Climhydex
Aeolian Harp, Dobrogea-EUROPHOTOMETEO2012
Climhydex
Sky Paintings, Cluj Napoca-EUROPHOTOMETEO2012
Climhydex
Peace, Balea Lake-EUROPHOTOMETEO2012
Climhydex
Water Magic, Alba County-EUROPHOTOMETEO2012
Climhydex
Mistic River, Alba County-EUROPHOTOMETEO2012
Climhydex
Summer Storm, Targoviste-EUROPHOTOMETEO2012
Climhydex
The Morning Fog-Ceata de dimineata-Letea, Tulcea-EUROPHOTOMETEO2012
Climhydex
Waiting for the Rain, Brasov-EUROPHOTOMETEO2012
Climhydex

Mechanisms controlling the variability of extreme events

WP3: Mechanisms controlling the variability of extreme events

Coordinators: Aristita Busuioc and Norel Rimbu

This WP aims in analysing the main large-scale and regional scale mechanisms controlling the variability of climate and hydrological extremes in Romania. This WP will be coordinated by NMA and UB-FF and it is divided into 4 tasks:

Task3.1. Characteristics of spatial and temporal variability of the seasonal climate /hydrological extremes and large-scale climate variability (NMA, NIHWM). The seasonal climate and hydrological extremes presented in WP2 will be analysed using the following techniques: Mann-Kendall/Pettitt tests (to estimate the significance of trends and shifts), univariate/multivariate EOF (indentify spatial patterns and temporal characteristics of simultaneous multi-field variability ranked in terms of their explained variance), clustering (identify homogeneous regions with the same climate variability).

Task 3.2: Connection between the variability of climate /hydrological extremes in Romania and simultaneous variability of large scale patterns given by the CCA technique (NMA). Large-scale spatial patterns of simultaneous variability of multi-field anomalies maximum correlated with spatial patterns of simultaneous variability of climate/hydrological extremes in Romania (considered separately or in various combination); spatial patterns will be ranked in terms of canonical correlation coefficient and the associated times series are analysed in terms of  their temporal variability (trends, etc);

Task 3.3. Connection between the variability of climate /hydrological extremes in Romania and large scale circulations/blocking indices (UB_FF, NMA). Correlation between climate/hydrological extreme indices and various daily circulation patterns on Atlantic-European scale established in a COST project as well as 2D-blocking indices; stable teleconnections methods will be also applied to relate large scale climate anomalies with the frequency of extreme events in Romania.

Task 3.4: Mechanisms producing of heavy rainfall in very short time (NMA) using radar measurements. The spatial distribution patterns of the reflectivity field are investigated in order to identify the type of the weather systems (e.g., super cell, squall line) that can generate heavy rainfalls.

Etichete: