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LegacyClimate 1.0: a dataset of pollen-based climate reconstructions from 2594 Northern Hemisphere sites covering the last 30 kyr and beyondстатья
Статья опубликована в высокорейтинговом журнале
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 15 февраля 2024 г.
- Авторы: Herzschuh Ulrike, Böhmer Thomas, Chenzhi Li1, Manuel Chevalier, Raphaël Hébert, Dallmeyer Anne, Xianyong Cao, Bigelow Nancy H., Nazarova Larisa, Novenko Elena Y., Jungjae Park, Odile Peyron Natalia A.Rudaya, Schlütz Frank, Shumilovskikh Lyudmila S., Tarasov Pavel E., Yongbo Wang, Ruilin Wen, Xu Qinghai, Zhuo Zheng
- Журнал: Earth System Science Data
- Том: 15
- Год издания: 2023
- Первая страница: 2235
- Последняя страница: 2258
- DOI: 10.5194/essd-15-2235-2023
- Аннотация: Here we describe LegacyClimate 1.0, a dataset of the reconstruction of the mean July temperature (TJuly), mean annual temperature (Tann), and annual precipitation (Pann) from 2594 fossil pollen records from the Northern Hemisphere, spanning the entire Holocene, with some records reaching back to the Last Glacial Period. Two reconstruction methods, the modern analog technique (MAT) and weighted averaging partial least squares regression (WA-PLS), reveal similar results regarding spatial and temporal patterns. To reduce the impact of precipitation on temperature reconstruction, and vice versa, we also provide reconstructions using tailored modern pollen data, limiting the range of the corresponding other climate variables. We assess the reliability of the reconstructions, using information from the spatial distributions of the root mean squared error in the prediction and reconstruction significance tests. The dataset is beneficial for synthesis studies of proxy based reconstructions and to evaluate the output of climate models and thus help to improve the models themselves.
- Добавил в систему: Новенко Елена Юрьевна