RT info:eu-repo/semantics/bachelorThesis
T1 Analysis of the influence of synoptic conditions on precipitation in the Canary Islands.
A1 Esmorís Parga, Rocío
K1 Canary Islands
K1 Rain
K1 rainfall
K1 precipitation
K1 synoptic conditions
AB The present work analyzes the atmospheric synoptic conditions which mainly affectrain episodes over the Canary Islands. The main aims are to assess the reliability oftwo databases used to determine the weather in the Canary Islands and to study thephenomenological distribution of rain episodes.To achieve these aims is especially important to keep into account 3 specific featuresof the Canary Islands. First, their particular location: close to the African continentin a transition area from mild to tropical temperatures affected by the North AtlanticOscillation (NAO) and the Azores High. Second, the common weather conditions: thearchipelago is considered as a dry and very stable area, having over 50 raining episodesper year on average. Third, its steep orography: altitude varies more than 3000m in lessthan 20km horizontally.After setting these features, a phenomenological classification is given. A total of 4atmospheric disturbance phenomena are classified: Deep Atlantic Lows (DAL), AtlanticSurface Lows (ASL), upper Atlantic Lows (UAL) and Troughs (TRO) are the consideredphenomena used to characterize the Canary Islands weather. The phenomena which arenot possible to include in any of these categories are included in No detection type (ND,None).Using some online resources, such as the AEMET database ARCIM´IS, and MeteoCentre Reanalysis, a set of 104 cases of heavy rain (>30mm episodes) is analyzed tobetter understand the particular situations in the atmosphere. Furthermore, this typeof analysis gives a reliable method to compare the further automatic classification of thephenomena.After that, the AEMET database is analyzed. This particular database shows thedistribution of heavy rain (> 30mm) and all the rain (> 1mm) in the Canary Islands.These data are further used to compare the reliability of the numerical databases.Then, Spread and WRF databases are analyzed. Maps of the distribution of the aboveclassification is shown for these two databases. First, 10 and 1mm maps, then, seasonalmaps. In this way, both databases are easily compared and furthermore, it is possibleto set which are the main phenomena affecting the Canary Islands and their particularlocation.Finally, as conclusions: the correspondence between these databases is exposed as wellthe most important phenomena over the Canary Islands. The correspondence betweendatabases is particularly trustworthy. The most important phenomenon affecting theCanary Islands is DAL and it is prominent during the winter.
YR 2019
FD 2019
LK http://riull.ull.es/xmlui/handle/915/14645
UL http://riull.ull.es/xmlui/handle/915/14645
LA es
DS Repositorio institucional de la Universidad de La Laguna
RD 30-nov-2024