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  • 1
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    PANGAEA
    In:  Institut für Meteorologie, Freie Universität Berlin
    Publication Date: 2023-01-13
    Description: Berlin (Germany) has one of the longest climate records in the world (Cubasch and Kadow, 2011). In the 17th century mainly the family of the astronomer Kirch started measuring the temperature and wrote down general weather patterns. In the beginning of the 18th century the measurements became more regular including multiple measures per day. Over time, more inner city stations appeared but also disappeared. Therefore, this Berlin Climate Record is a moving station, but representable for the inner city of Berlin. With these datasets we reactivate the long inner city climate record in several variables. In this study, we digitized, analyzed, corrected, reconstructed, and provide the datasets on the very rare daily time frequency.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2023-01-13
    Description: Berlin has one of the longest climate records in the world (Cubasch and Kadow, 2011). In the 17th century mainly the family of the astronomer Kirch started measuring the temperature and wrote down general weather patterns. In the beginning of the 18th century the measurements became more regular including multiple measures per day. Over time, more inner city stations appeared but also disappeared. Therefore, this Berlin Climate Record is a moving station, but representable for the inner city of Berlin. Many approaches were combining these datasets including bias correction efforts. With this dataset from 1876-01-01 to 1908-12-31 we reactivate the long inner city precipitation record, related to Kadow et al. 2016. In this study, we digitized, analyzed, and corrected the precipitation data set on the daily time frequency. The dataset has been reconstructed from: "Das Klima von Berlin (III) Niederschlag, Luftfeuchtigkeit, Dampfdruck, Bewölkung, Sonnenscheindauer, Wind, Luftdruck - Abh. des Met. Dienstes der DDR Nr. 118, Band XV, Akademie-Verlag 1976".
    Keywords: Berlin_inner_City; Berlin, Germany; DATE/TIME; Precipitation, daily total
    Type: Dataset
    Format: text/tab-separated-values, 12053 data points
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  • 3
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    Unknown
    PANGAEA
    In:  Supplement to: Kadow, Christopher; Illing, Sebastian; Kröner, Igor; Ulbrich, Uwe; Cubasch, Ulrich (2017): Decadal climate predictions improved by ocean ensemble dispersion filtering. Journal of Advances in Modeling Earth Systems, https://doi.org/10.1002/2016MS000787
    Publication Date: 2023-01-13
    Description: Decadal predictions by Earth system models aim to capture the state and phase of the climate several years in advance. Atmosphere-ocean interaction plays an important role for such climate forecasts. While short-term weather forecasts represent an initial value problem and long-term climate projections represent a boundary condition problem, the decadal climate prediction falls in-between these two timescales. In recent years, more precise initialization techniques of coupled Earth system models and increased ensemble sizes have improved decadal predictions. However, climate models in general start losing the initialized signal and its predictive skill from one forecast year to the next. Here we show that the climate prediction skill of an Earth system model can be improved by a shift of the ocean state towards the ensemble mean of its individual members at seasonal intervals. We found that this procedure, called ensemble dispersion filter, results in more accurate results than the standard decadal prediction. Global mean and regional temperature, precipitation, and winter cyclone predictions show an increased skill up to 5 years ahead. Furthermore, the novel technique outperforms predictions with larger ensembles and higher resolution. Our results demonstrate how decadal climate predictions benefit from ocean ensemble dispersion filtering towards the ensemble mean.
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 4
    Publication Date: 2023-06-19
    Description: Berlin has one of the longest climate records in the world (Cubasch and Kadow, 2011). In the 17th century mainly the family of the astronomer Kirch started measuring the temperature and wrote down general weather patterns. In the beginning of the 18th century the measurements became more regular including multiple measures per day. Over time, more inner city stations appeared but also disappeared. Therefore, this Berlin Climate Record is a moving station, but representable for the inner city of Berlin. Many approaches were combining these datasets including bias correction efforts. With this dataset from 01.01.1766 to 31.12.1934 we reactivate the long inner city temperature record. In this study, we digitized, analyzed, and corrected the data set on the daily time frequency. The dataset has been reconstructed from: "Das Klima von Berlin (II) Temperatur - Abh. des Met. Dienstes der DDR Nr. 103, Band XIII, Akademie-Verlag 1971"
    Keywords: Berlin_inner_City; Berlin, Germany; DATE/TIME; Temperature, air, daily mean
    Type: Dataset
    Format: text/tab-separated-values, 61725 data points
    Location Call Number Expected Availability
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