This title appears in the Scientific Report :
2024
Please use the identifier:
http://dx.doi.org/10.34734/FZJ-2024-01182 in citations.
Identifying Trends in the Temporal Signatures of Snow and its Impact on Catchment Hydrology over Europe during 2000–2022
Identifying Trends in the Temporal Signatures of Snow and its Impact on Catchment Hydrology over Europe during 2000–2022
Studying snow is crucial as it impacts the hydrological cycle as well as the albedo, thereby theradiation budget. Therefore, changes in snow patterns can affect water availability, river flowpatterns, and overall catchment water balance. This thesis aims to investigate trends insnowpack variables an...
Saved in:
Personal Name(s): | Suresh, Simran (First author) |
---|---|
Naz, Bibi (Corresponding author) / Kusche, Jürgen | |
Contributing Institute: |
Agrosphäre; IBG-3 |
Imprint: |
2024
|
Physical Description: |
50 |
Dissertation Note: |
Masterarbeit, University of Bonn, 2023 |
DOI: |
10.34734/FZJ-2024-01182 |
Document Type: |
Master Thesis |
Research Program: |
Assimilation von Schnee-Satellitendaten und ihre Auswirkungen auf den hydrologischen Kreislauf und die atmosphärischen Flüsse (C04) Agro-biogeosystems: controls, feedbacks and impact |
Link: |
OpenAccess |
Publikationsportal JuSER |
Studying snow is crucial as it impacts the hydrological cycle as well as the albedo, thereby theradiation budget. Therefore, changes in snow patterns can affect water availability, river flowpatterns, and overall catchment water balance. This thesis aims to investigate trends insnowpack variables and their potential impacts on hydrological processes for snow-dominatedand snow-rain-dominated regions in Europe. To identify trends in snowpack variables, Europeanwatersheds are classified into snow and snow-rain-dominated based on the snowfall fractionfrom the E-OBS meteorological data and a temperature and precipitation threshold. For thesewatersheds, snowfall (SF), and rainfall (RF) from in-situ meteorological data, snow coverduration (SCD) from MODIS satellite, and snow water equivalent (SWE) from ESA GLOBSNOWand GLWS2.0 products are analyzed to find trends and patterns during 2000-2022. Additionally,river discharge data at 862 Global Runoff Data Center (GRDC) stations were also compiled toinvestigate the impact of snow trends on changes in river flow and center of timing (CT). Resultsshow increasing trends in SF, SWE, and discharge and decreasing trends in SCD insnow-dominated watersheds. Seasonally, the trends in both snowpack variables and rainfall aremore pronounced in the winter than spring season. In addition, the increasing trends in meandischarge show a strong positive correlation with increasing SWE, particularly in thesnow-dominated watersheds. However, the trends in CT indicate shifts of 2-3 days across manystations, suggesting an accelerated melting of snow attributed to rising temperatures. Thesetrends align with the concurrent decreasing trend in SCD. Furthermore, water availability isassessed by comparing the change in snowpack and streamflow anomalies with total waterstorage (TWS) from GRACE satellites. Overall, the TWS shows a decreasing trend in the snowand snow-rain-dominated watersheds which we suggest is due to rapid snowmelt at hightemperatures despite high SF and SWE. These results highlight the important changes incryosphere–hydrological processes in the recent past, providing valuable information forintegrated water resource management in Europe. |