Regional dynamical downscaling and analysis of water balance across different regions and time scales
type: CreativeWork
description: Employing the regional dynamical downscaling (RDD) technique, we can enhance the spatial and temporal resolution of global reanalysis and general circulation model (GCM) data, providing improved data for studying ecological processes. This method ensures physical validity of the data, albeit at high computational costs.This thesis highlights the application and potential added value of RDD in addressing precipitation-related research questions across three distinct regions: the Galápagos Archipelago (GA), the Qaidam Basin (QB), and the Berlin-Brandenburg region in Germany (BB). The studies in these regions, characterised by unique climatic and geographic challenges, demonstrate the ability of RDD to resolve regional- and meso-scale processes and improve data availability in data-scarce region and enhance data-quality over complex terrains. The findings underline the critical role of optimised downscaling approaches in advancing process-based understanding and supporting ecological and climatic research. For the GA, a long-term high-resolution data set Galápagos Refined Analysis (GAR) was developed, by downscaling ERA5 reanalysis data to a grid-spacing of 2 km. The GAR dataset enables detailed analysis of meso-scale atmospheric processes in the GA, validated against in-situ measurements from a network of strategically installed weather stations. The data set is able to reproduce seasonal variability and annual measurement values for precipitation, air temperature at 2 m a.g.l., and mixing ratio at 2 m a.g.l. Further analysis of the GAR data set reveals its ability to reproduce the effects of quasi-periodic El Niño-Southern Oscillation and its extreme states, La Niña and El Niño. We present a spatially explicit analysis of these variables in the GAR dataset, describing their spatial distribution and the impacts of topography and the general wind field. From the GAR, we derive and examine long-term climatic trends in the GA, concluding that over the course of the study…
abstract: Employing the regional dynamical downscaling (RDD) technique, we can enhance the spatial and temporal resolution of global reanalysis and general circulation model (GCM) data, providing improved data for studying ecological processes. This method ensures physical validity of the data, albeit at high computational costs.This thesis highlights the application and potential added value of RDD in addressing precipitation-related research questions across three distinct regions: the Galápagos Archipelago (GA), the Qaidam Basin (QB), and the Berlin-Brandenburg region in Germany (BB). The studies in these regions, characterised by unique climatic and geographic challenges, demonstrate the ability of RDD to resolve regional- and meso-scale processes and improve data availability in data-scarce region and enhance data-quality over complex terrains. The findings underline the critical role of optimised downscaling approaches in advancing process-based understanding and supporting ecological and climatic research. For the GA, a long-term high-resolution data set Galápagos Refined Analysis (GAR) was developed, by downscaling ERA5 reanalysis data to a grid-spacing of 2 km. The GAR dataset enables detailed analysis of meso-scale atmospheric processes in the GA, validated against in-situ measurements from a network of strategically installed weather stations. The data set is able to reproduce seasonal variability and annual measurement values for precipitation, air temperature at 2 m a.g.l., and mixing ratio at 2 m a.g.l. Further analysis of the GAR data set reveals its ability to reproduce the effects of quasi-periodic El Niño-Southern Oscillation and its extreme states, La Niña and El Niño. We present a spatially explicit analysis of these variables in the GAR dataset, describing their spatial distribution and the impacts of topography and the general wind field. From the GAR, we derive and examine long-term climatic trends in the GA, concluding that over the course of the study…
author: Schmidt, Benjamin Rasmus Leander
language: en
license: https://creativecommons.org/licenses/by-nc/4.0/
date published: 2025
date modified: 2026-07-27T21:28:31Z
provider: Technische Universität Berlin
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Technische Universität Berlin

PropertyValue
property ID: DOI
value: 10.14279/depositonce-24373