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Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Gardelegen, Germany

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Kiel-Kronshagen, Germany

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Herford, Germany

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Sondershausen, Germany

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Regensburg, Germany

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

GFZ Data Services

GFZ Data Services is a repository for research data and scientific software across the Earth System Sciences, hosted at GFZ. The curated data are archived, persistently accessible and published with digital object identifier (DOI). They range from large dynamic datasets from global monitoring networks with real-time aquisition, to international services in geodesy and geophysics, to the full suite of small and highly heterogeneous datasets collected by individual researchers or small teams ("long-tail data"). In addition to the DOI registration and data archiving itself, GFZ Data Services team offers comprehensive consultation by domain scientists and IT specialists. Among others, GFZ Data Services is data publisher for the IAG Services ICGEM, IGETS and ISG (IAG = Int. Association for Geodesy; ICGEM = Int. Center for Global Earth Models; IGETS = Int. Geodynamics and Earth Tide Service; ISG = Int. Service for the Geoid), the World Stress Map, INTERMAGNET, GEOFON, the Geophysical Instrument Pool Potsdam GIPP, TERENO, EnMAP Flight Campaigns, the Potsdam Institute for Climate Impact Research PIK, the Specialised Information Service for Solid Earth Geosciences (FID GEO) and hosts the GFZ Catalogue for the International Generic Sample Number IGSN.

GDGT concentrations in ELSA stack samples of the Eifel volcanic field, Germany

Isoprenoid and branched GDGTs were measured in soils and lake sediment samples from the Eifel Volcanic field. The modern samples were used to understand sources of GDGTs in sediments, while sediment core samples from Schalkenmehrener Maar, Holzmaar, and Auel Maar were used to reconstruct temperatures during the past 60,000 years. Age model information and additional proxy data from the ELSA-20 stack are found in Sirocko et al., 2021 and Sirocko et al., 2022

Homogenized mean monthly temperature time series (HClim), station Hom_HCLIM_Heidelberg, Germany

Instrumental meteorological observations are essential for analysing past climate and reconstructing climate variability. However, many of the long instrumental climate series, some extending back to 1658, have been affected by inhomogeneities (artificial shifts) caused by changes in measurement conditions such as station relocations, instrumentation changes, and environmental modifications. To address this problem, homogenization procedures have been developed to detect and adjust such inhomogeneities. In this work, the records undergo homogenization analysis, during which these inhomogeneities are identified and corrected. The Standard Normal Homogeneity Test (SNHT), developed by Hans Alexandersson, is applied as the statistical method, comparing candidate series with neighbouring reference stations to assess relative homogeneity. The article presents homogenization analyses using three different tools (CLIMATOL, BART, and PHA) applied to the published global multivariable monthly instrumental climate database HCLIM (doi:10.1594/PANGAEA.940724). The resulting database includes the best-performing homogenized series - those produced by BART - comprising 2,892 homogenized temperature time series covering the period 1757–2020.

Untersuchung, Datierung und paläoklimatische Interpretation von lössartigen Talfüllungen am Hoanib-Rivier (Namib-Ostrand/Namibia)

Am Namib-Ostrand sind in verschiedenen Talzügen und in Beckensituationen bis über 10 m mächtige lößartige bzw. schwemmlößartige Ablagerungen anzutreffen, die durch die lokalen ephemeren, zum Atlantik orientierten Abflüsse rezent zerschnitten werden und daher gut aufgeschlossen sind. Besonders mächtig treten diese landschaftsgeschichtlichen Archive am Hoanib und seinen Tributären (NW-Namibia) auf. Vorarbeiten weisen auf eine Bildung während des Jungpleistozäns und Holozäns. Erstmals sollen diese Feinsedimente am Hoanib-Rivier zusammenhängend vom Oberlauf bis in die Küstenwüste sedimentologisch untersucht und datiert werden (OSL, AMS-14C). Damit werden punktuelle, eher zufällig sich ergebende Daten ausgeschlossen und geomorphogenetische sowie hochauflösende Aussagen zur wechselnden Intensität des Sommermonsuns am Namib-Ostrand während des Jungquartärs möglich.

Ice core nitrous oxide over the past 2000 years

The continuous growth of atmospheric nitrous oxide (N2O) is of concern for its potential role in global warming and future stratospheric ozone destruction. Climate feedbacks that enhance N2O emissions in response to global warming are not well understood, and past records of N2O from ice cores are not sufficiently well resolved to examine the underlying climate-N2O feedbacks on societally relevant time scales. Here, we present a new high-resolution and high-precision N2O reconstruction obtained from the Greenland NEEM (North Greenland Eemian Ice Drilling) and the Antarctic Styx Glacier ice cores. Covering the N2O history of the past two millennia, our reconstruction shows a centennial-scale variability of ~10 ppb. A pronounced minimum at ~600 CE coincides with the reorganizations of tropical hydroclimate and ocean productivity changes. Comparisons with proxy records suggest association of centennial- to millennial-scale variations in N2O with changes in tropical and subtropical land hydrology and marine productivity.

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