Employing land surface temperature as a prognostic variable to detect heatwaves and droughts

Postgraduate Thesis uoadl:3396868 19 Read counter

Unit:
Κατεύθυνση Φυσική Περιβάλλοντος
Library of the School of Science
Deposit date:
2024-04-18
Year:
2024
Author:
Karinou Foteini
Supervisors info:
Καρτάλης Κωνσταντίνος, Καθηγητής, Τμήμα Φυσικής, ΕΚΠΑ,
Φλόκα Έλενα, Καθηγήτρια, Τμήμα Φυσικής, ΕΚΠΑ,
Αγαθαγγελίδης Ηλίας, Μεταδιδακτορικός Ερευνητής, Τμήμα Φυσικής, ΕΚΠΑ
Original Title:
Αξιοποίηση της επιφανειακής θερμοκρασίας εδάφους ως προγνωστικού στοιχείου για την εμφάνιση επεισοδίων καύσωνα και ξηρασίας
Languages:
Greek
Translated title:
Employing land surface temperature as a prognostic variable to detect heatwaves and droughts
Summary:
In recent years it has been observed in Europe that heatwave episodes tend to be more frequent, longer and more intense. Often heat waves are accompanied by drought events, further enhancing their negative impact. Satellite observations of Land Surface Temperature (LST) allow the monitoring of large areas and can provide an important assistance to the monitoring of heatwave/drought episodes, as LST directly shapes the surface energy balance. Based on the above, this thesis first attempts, via Aqua/MODIS satellite observations (1 Km spatial resolution), to compute and the annual maximum LST and its trend throughout the years, and then link it to the strongest heatwave/drought episodes in Europe (for the years 2003 - 2023). A more focused study is carried out next for selected regions of Europe to quantitatively assess the potential of warm LST anomalies to act as indicators of heatwave days. The above analysis is performed for the locations where the micro-meteorological towers of the European Integrated Carbon Observation System (ICOS) network are installed. Utilizing the observed heat fluxes of the above network allows a better understanding of the link between surface temperature, air temperature, and surface energy balance during heatwave/drought periods, per different land cover.
Main subject category:
Science
Keywords:
heatwaves, droughts, climate change, remote sensing, land surface temperature
Index:
Yes
Number of index pages:
1
Contains images:
Yes
Number of references:
125
Number of pages:
90
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