de Luca Lopes de Amorim, Felipe; Wiltshire, Karen Helen; Rick, Johannes J (2024): Monthly means of land and sea surface temperature (°C) from 1962 to 2019 [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.971803 (DOI registration in progress)
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Abstract:
We related the sea surface temperature data from the Helgoland Roads Time Series, one of the most important and detailed long-term in situ marine ecological time series, to the Sylt Roads Time Series and spatially averaged North Sea, Germany, Europe, North Atlantic and Northern Hemisphere surface temperatures. The hierarchical and comparative statistical evaluation of all of these time series relative to one another allows us to relate marine ecosystem change to temperature in terms of time (from 1962 to 2019) and spatial scales (global to local). The objectives are:
1.to investigate the warming in the North Sea in terms of different geographical scales and typical weather indices (North Atlantic Oscillation),
2.to document the different types of changes observed: trends, anomalies and variability
3.to differentiate seasonal shifts,
4.to evaluate anomalies and frequency distributions of temperature over time, and
5.to evaluate hot and cold spells and their variability.
Spatially averaged datasets are extracted from gridded HadCRUT4 and HadSST3 reanalysis, the European Environment Agency and the German Weather Service (DWD). Datasets are analyzed in terms of yearly and monthly surface temperature averages and their anomalies relative to 1960s-1990s period.
The North Atlantic Oscillation winter mean is the December, January and February average of the data made available by the National Center for Atmospheric Research (NCAR).
For detailed information about the datasets, please refer to Amorim & Wiltshire et al. (2023) - https://doi.org/10.1016/j.pocean.2023.103080.
Keyword(s):
Related to:
de Luca Lopes de Amorim, Felipe; Wiltshire, Karen Helen; Lemke, Peter; Carstens, Kristine; Peters, Silvia; Rick, Johannes J; Gimenez, Luis; Scharfe, Mirco (2023): Investigation of marine temperature changes across temporal and spatial Gradients: Providing a fundament for studies on the effects of warming on marine ecosystem function and biodiversity. Progress in Oceanography, 216, 103080, https://doi.org/10.1016/j.pocean.2023.103080
Source:
Hurrell North Atlantic Oscillation (NAO) Index (PC-based) | Climate Data Guide [webpage]. Climate Analysis Section, NCAR, Boulder, USA, Hurrell, 2002. Updated regularly, https://climatedataguide.ucar.edu/climate-data/hurrell-north-atlantic-oscillation-nao-index-pc-based (Accessed 2022-02-09)
European Environment Agency (EEA): European land average near-surface temperatures anomalies relative to the pre-industrial period [webpage]. https://www.eea.europa.eu/data-and-maps/figures/global-left-and-european-land (Dataset accessed 2022-02-03)
German Weather Service (DWD): Wetter und Klima - Deutscher Wetterdienst - Our services - Time series and trends [webpage]. Germany Temperature Anomaly, https://www.dwd.de/EN/ourservices/zeitreihen/zeitreihen.html#buehneTop (Dataset accessed 2022-02-03)
GISTEMP Team (2022): Data.GISS: GISS Surface Temperature Analysis (GISTEMP v4) [webpage]. NASA Goddard Institute for Space Studies, https://data.giss.nasa.gov/gistemp/ (Dataset accessed 2022-02-09)
Rick, Johannes J; Romanova, Tatyana; Wiltshire, Karen Helen (2017): Hydrochemistry time series at List Reede, Sylt, Germany, in 2014 [dataset]. Alfred Wegener Institute - Wadden Sea Station Sylt, PANGAEA, https://doi.org/10.1594/PANGAEA.873549
Rick, Johannes J; Romanova, Tatyana; Wiltshire, Karen Helen (2020): Hydrochemistry time series at List Reede, Sylt, Germany, in 2015 (Version 2) [dataset]. Alfred Wegener Institute - Wadden Sea Station Sylt, PANGAEA, https://doi.org/10.1594/PANGAEA.918018
Rick, Johannes J; Romanova, Tatyana; Wiltshire, Karen Helen (2020): Hydrochemistry time series at List Reede, Sylt, Germany, in 2016 (Version 2) [dataset]. Alfred Wegener Institute - Wadden Sea Station Sylt, PANGAEA, https://doi.org/10.1594/PANGAEA.918023
Rick, Johannes J; Romanova, Tatyana; Wiltshire, Karen Helen (2020): Hydrochemistry time series at List Reede, Sylt, Germany, in 2017 [dataset]. Alfred Wegener Institute - Wadden Sea Station Sylt, PANGAEA, https://doi.org/10.1594/PANGAEA.918024
Rick, Johannes J; Romanova, Tatyana; Wiltshire, Karen Helen (2020): Hydrochemistry time series at List Reede, Sylt, Germany, in 2018 [dataset]. Alfred Wegener Institute - Wadden Sea Station Sylt, PANGAEA, https://doi.org/10.1594/PANGAEA.918025
Rick, Johannes J; Romanova, Tatyana; Wiltshire, Karen Helen (2020): Hydrochemistry time series at List Reede, Sylt, Germany, in 2019 [dataset]. Alfred Wegener Institute - Wadden Sea Station Sylt, PANGAEA, https://doi.org/10.1594/PANGAEA.918026
Rick, Johannes J; van Beusekom, Justus; Romanova, Tatyana; Wiltshire, Karen Helen (2017): Long-term physical and hydrochemical measurements at Sylt Roads LTER (1973-2013), Wadden Sea, North Sea, links to data sets [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.150032
Wiltshire, Karen Helen; Carstens, Kristine; Ecker, Ursula; Kirstein, Inga V (2024): Hydrochemistry at time series station Helgoland Roads, North Sea since 1873 [dataset publication series]. Alfred Wegener Institute - Biological Institute Helgoland, PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.960375
Project(s):
Helgoland Roads Timeseries (HelgolandRoads)
Macrobenthic long-term series in the German Bight (LTER_Benthos)
Coverage:
Median Latitude: 54.609165 * Median Longitude: 8.180000 * South-bound Latitude: 54.188330 * West-bound Longitude: 7.900000 * North-bound Latitude: 55.030000 * East-bound Longitude: 8.460000
Minimum Elevation: -10.0 m * Maximum Elevation: -10.0 m
Event(s):
HelgolandRoads (Kabeltonne) * Latitude: 54.188330 * Longitude: 7.900000 * Elevation: -10.0 m * DEIMS ID: deims.org * Location: German Bight, North Sea * Campaign: LTER_HelgolandRoads (Kabeltonne, Long-term Ecological Research Helgoland Roads) * Basis: Marine Station Helgoland * Method/Device: Monitoring (MON)
List_Reede (Lister_Ley, List_Station_1) * Latitude: 55.030000 * Longitude: 8.460000 * Location: German Bight Wadden Sea * Campaign: LTER_SyltRoads (Sylt Rømø Bight, Long-term Ecological Research Sylt Roads) * Basis: Wadden Sea Station Sylt * Method/Device: Multiple investigations (MULT)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Location | Location | de Luca Lopes de Amorim, Felipe | Region/Location | ||
| 2 | Parameter | Parameter | de Luca Lopes de Amorim, Felipe | |||
| 3 | Frequency | Frequency | de Luca Lopes de Amorim, Felipe | |||
| 4 | Office Open XML Workbook (File Size) | XLSX (Size) | Bytes | de Luca Lopes de Amorim, Felipe | ||
| 5 | Office Open XML Workbook | XLSX | de Luca Lopes de Amorim, Felipe | |||
| 6 | Reference/source | Reference | de Luca Lopes de Amorim, Felipe |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB) * Processing Level: PANGAEA data processing level 4 (ProcLevel4)
Size:
95 data points