Küsteneinflüsse und Paläoklima

Projekte

Acronym
(Funding)
Research Area/
Project
Research Focus
funding period
Past2K
(PACES2)
Climate during the past two millenia
Decadal Predictability of European Climate and the Contribution of Ocean Dynamics
2017-2019
Reduced Models
(HGF)
Reconstruction 4-d climate information from patchy and uncertain information
2017-2020
PACMEDY
(Belmont/BMBF)
The Holocene Evolution of Upwelling Regimes
2016-2019
Asia-Floods
(DFG)
Extreme sea-level events along South-East Asian coast: past, present and future
2016-2019
PALMOD
(BMBF)
Paleodata synthesis tools and concepts (WP3.1)
2015-2018

Past Projects

Acronym
(Funding)
Research Area/
Project
Research Focus
funding period
ARAMACC
(EU)
The use of proxy data from molluscan sclerochronology for model comparison and decadal prediction
2013-2017
Ghana-SL
(DAAD)
Regional sea level under a changing climate at the retreating coast of Ghana
2013-2017
CliSAP2-A3
(DFG)
Long-term sea-level variability and change in the Baltic Sea
2013-2017
CliSAP2-B3
(DFG)
Impact of large scale climate variability on coastal upwelling
2013-2016
GENUS II
(BMBF)
Influence of large-scale climate variability on upwelling regimes off the Namibian coast: implications for past and future climates
2012-2016
REKLIM
(HGF)
Long-Term changes of large-scale processes with relevance for the south-western Baltic coastline
2011-2016
SINOMA
(DFG)
Integrated Climate System Analysis and Prediction (CLISAP) Cluster of Excellence
2011-2014
HAMBURG-2k
(DFG)
Integrated Climate System Analysis and Prediction (CLISAP) Cluster of Excellence
2010-2012
PLUSDATA
(DFG)
Integrated Climate System Analysis and Prediction (CLISAP) Cluster of Excellence
Plußsee long-term data acquisition and analysis
2009-2012
ECOSUPPORT
(EU-BMBF)
Drivers related to changing climate and changing river- and airborne nutrient loadings due to anthropogenic activities
2009-2011
PRIME
(DFG)
Precipitation in the past millennia in Europe
2010-2011
MILLENNIUM European Climate
(EU)
European Climate of the last millennium
2006-2011

before 2011

REGCLIMOSS (DFG): Regional climate modelling in southern South America for the Holocene and the 21st century (2008-2009)

SINCOS-2 (DFG): Relationships between Baltic Sea level variations and periods of rapid climate change in the Holocene as analogues for future changes (2007-2009)

FIRME (CICYT Spain): Frenquency and intensity of heavy precipitations in Mediterranean Spain within a modified climate

RAMSHES (CICYT Spain): Regional Atmospheric Models in the Simulation of Hydric Extremes

ALPIMP (BMBF/ DEKLIM): An integrated research attempt on the unique Alpine instrumental and proxy data potential

EEM (BMBF/ DEKLIM): Climate Change at the end of the Eemian warm period

SINCOS (DFG): Sinking coasts -Climate related sea-level variations in the Baltic Sea in the last few thousand years

SOAP (EU): Simulations, Observations and Palaeodata -climate variability over the last 500 years

CORCLIM (BMBF/ DEKLIM): Coral climate history of the subtropical North Atlantic - High resolution proxy records from Bermuda

DATUN (BMBF/ DEKLIM): Reconstructing the European climate for the instrumental period by means of Data Assimilation through Upscaling and Nudging

IBSEN (BMBF/ DEKLIM): Integrated Baltic Sea Environmental Study

KIHZ (HGF): Natural climate variability in historical times


Long-Term changes of large-scale processes with relevance for the south-western Baltic coastline

REKLIM Logo

The aim is to reconstruct changing regional storminess for the past centuries in the southern Baltic sea. Especially temporal changes of predominant wind directions will be analyzed. The relationship between large-scale climatic patterns and local processes which influence the wind climate shall be evaluated. This hopefully helps to identify large-scale processes which are related to the changing storminess at polish coastal areas. Therefore observational and model data are investigated. Furthermore these results are to be compared with “proxy” data from coastal deposits. These coastal deposits enable reconstructions of climatic information so that the past climate can be statistically analyzed for time scales of several centuries. This statistical investigation can be used to estimate future wind changes in this area. more information

windrose

Wind direction (bins) and speed (color) for the winter season (Dec, Jan, Feb) over the Baltic Sea area. Conducted with the reanalysis dataset coastDat2 from 1948 to 2012. (Courtesy of S.Bierstedt)

Influence of large-scale climate variability on upwelling regimes off the Namibian coast: implications for past and future climates

Logo Genus

The Namibian Upwelling System is one of the four major Eastern Boundary Upwelling Ecosystems. The climatological upwelling regime is driven by the wind stress field off Southwest Africa, but which factors modulate the upwelling strength at long-term scales is less well known. Large-scale oceanic circulation systems, large-scale atmospheric forcing, changes in the stratification and regional land-sea temperature contrast, which modulates the local wind could affect the upwelling system. At longer time scales, coastal upwelling can influence the thermal land-sea contrast, thus modulating the regional wind regime. Therefore, not only past climates but also future scenarios are of interest.
The research is focused on the causes for long-term variations at decadal and longer time scales of upwelling off the Namibian coast. This will be investigated by statistically analysing a series of observation data sets and climate simulations with atmosphere-only, ocean-only and coupled climate models that cover the present state, the 21st century and the past millennium. more information

upwelling Namibia

Correlation pattern between upwelling index and sea level pressure (shaded colours) and upwelling index and wind stress (arrows) for austral spring (September-November) from 1950 to 2010. (Courtesy of N. Tim)

Impact of large-scale climate variability on coastal upwelling

Logo CliSAP

Coastal upwelling is affected by various atmospheric and oceanic factors. The general aim of this study is to identify the influence of large-scale climate patterns on the dynamics of coastal upwelling and the mechanisms that may give rise to decadal and multi-decadal variability in the western part of the Arabian Sea coastal upwelling system. The assessment will also estimate the magnitude of the low-frequency variations that are linked to internal regional climate dynamics, to the large-scale internal climate variability and to the external climate forcings.
The analysis will first focus on the observational period (mainly 1950-2010) by statistically analyzing selected simulations with ocean-only models driven by atmospheric reanalysis, and ocean reanalysis products. The analysis will be then extended to long multi-century simulations with global ocean-atmosphere coupled models over the last centuries, and its results are planned to be compared to the information provided by available sea-sediment proxy records that may be considered indicators of past up-welling conditions in the last few centuries and millennia.
The findings will be applied to simulations of future climate under different scenarios of atmospheric concentrations of greenhouse gases. For this purpose, simulations from the Climate Model Intercomparison Project that have been used by the IPCC for the latest climate assessment will be applied. The overall conclusions will provide hints about the future behaviour of upwelling and the impact of climate change on upwelling dynamics.
more information

Cor Upwelling Wind Sst

Correlation of upwelling velocity (STORM_upw) with along shore wind stress (NCEP_wind), coastal sst (STORM_sst) and coastal-offshore sst difference (STORM_sstdiff) from 1950 to 2010. The analyses indicate that the upwelling velocity is significantly correlated to wind stress (r=0.85, p<0.00001). At the same time, strong correlations (r=-0.77, p<0.00001) are found between upwelling velocity and sst and between sst difference (r=0.71, p<0.00001). This result confirms that the western Arabian Sea coastal upwelling system is mainly forced by the SW Indian monsoon. Thus, the STORM data seems reliable comparing to upwelling indicators such as wind stress and sst.(Courtesy of X. Yi)

Long-term sea-level variability and change in the Baltic Sea

Logo CliSAP

The main task of the study is the analysis of the long-term dynamics of sea-level variability in the Baltic Sea, including the mutual interaction with the North Sea. The Baltic Sea contains some of the longest sea-level records and is known to be affected by a combination of global, regional and local effects. The most important is the glacial isostatic adjustment which causes a clear north-south gradient in the basin-wide pattern of relative sea-level. Recent studies found that different (atmospheric) driving factors influence the decadal Baltic sea-level variability in a spatially heterogeneous way, especially on the southern Baltic coastline. Within this project we aim at deepening these findings and their physical explanations using sophisticated statistical analysis of the observational record, followed by the application to model simulations. This includes, among others, the analysis of long tide gauge (coastal) station data together with satellite data sets (and comparison with coastal station data in the period of overlap) and available gridded sea level reconstructions, the identification of the locally resolved multi-decadal variability and centennial trends of the rate of sea-level rise and the regionalization of sea-level scenarios. more

Sl Nao

Correlation between the winter mean (December-January-February) of the NAO index and the winter mean (linearly detrended) Baltic Sea level in the period 1900-1998. (adapted from Hünicke and Zorita 2006)

Regional sea level under a changing climate at the retreating coast of Ghana

Logo Daad

This project is divided in two phases. In the first phase, the project aims to characterize the large-scale climate forcing that drive mean sea-level variability at and off the coast of Ghana and study its decadal variability and long-term trends in the observational period. The activity in this first phase mainly consists of the statistical analysis of available datasets from tide gauges, satellites, as well as meteorological reanalysis and simulations with ocean and climate models. The main large-scale climate factors driving regional mean sea level at these timescales will be identified and quantified.
In its second phase, the project will focus on the analysis of the evolution of shoreline changes at the entire coast of Ghana and its possible relation to climatic driven changes with emphasis on regional mean sea level variability and change.

Ghana_SL

Analogue Sea level data from Ghana Survey Department (Courtesy of P. Evadzi)