Print Email Facebook Twitter Potential sources of predictive skill of seasonal precipitation forecasts for Suriname Title Potential sources of predictive skill of seasonal precipitation forecasts for Suriname: A study on the dynamics of seasonal precipitation in Suriname with the help of moisture tracking and Sea Surface Temperature correlations Author Koole, Emma (TU Delft Civil Engineering & Geosciences) Contributor Rutten, M.M. (mentor) Haarsma, Reindert J. (graduation committee) van der Ent, R.J. (graduation committee) Degree granting institution Delft University of Technology Programme Civil Engineering | Environmental Engineering Date 2023-08-30 Abstract This study investigates the dynamics of seasonal precipitation in Suriname with the help of moisture tracking and Sea Surface Temperature correlations. Prolonged drought periods, heavy precipitation events and accompanying flash floods and landslides are expected to increase in Suriname in the coming years. Reliable seasonal precipitation forecasts are therefore of great value to the agriculture, livestock and energy sectors in Suriname, but also for drought and flood mitigation. The objective of this study is to look into the sources of the predictive skill for seasonal precipitation forecasts for Suriname.First, Spearman rank correlation analysis between sea surface temperature anomalies and Suriname precipitation anomalies was performed to establish the potential for statistical seasonal precipitation forecasts from SSTs. Second, moisture tracking with the model WAM2layers was applied to find the origin areas of evaporation for precipitation in Suriname. At last, these patterns of correlation and moisture tracking were combined with composite data to determine which potential drivers are influencing the precipitation anomalies in Suriname.The results show that the ASON season displays the largest SST correlations (0.4 for Nino3 and Nino3.4 index with a lag of 3 months) and the longest lag time at which correlations are visible. This is due to the significant influence of ENSO on the ASON season precipitation. The DJFM season shows a clear link towards the Tropical Atlantic Variability and especially the AMM mode. Positive (negative) SST in the tropical north Atlantic cause a northward (southward) shift of the ITCZ overSuriname. The AMJJ season reveals the smallest skill to predict seasonal precipitation anomalies. This could possibly be enhanced by performing a sub-seasonal analysis.The processes of potential skill found in this thesis report can be of help to forecasters for the improvement of seasonal precipitation forecasts for Suriname Subject SurinamePrecipitationTeleconnectionsSea surface temperatureMoisture trackingIntertropical convergence zoneSeasonal forecast To reference this document use: http://resolver.tudelft.nl/uuid:7185c2b7-8313-4dc9-8a10-f57a7cd5ca35 Coordinates 5.839398, -55.199089 Part of collection Student theses Document type master thesis Rights © 2023 Emma Koole Files PDF FinalThesis_EmmaKoole_4381939.pdf 11.84 MB Close viewer /islandora/object/uuid:7185c2b7-8313-4dc9-8a10-f57a7cd5ca35/datastream/OBJ/view