CAMELS-SE: Long-term hydroclimatic observations (1961–2020) across 50 catchments in Sweden as a resource for modelling, education, and collaboration

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Claudia Teutschbein
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引用次数: 0

Abstract

This paper introduces a community-accessible dataset comprising daily hydroclimatic variables (precipitation, temperature, and streamflow) observed in 50 catchments in Sweden (median size of 1019 km2). The dataset covers a 60-year period (1961–2020) and includes information on geographical location, landcover, soil classes, hydrologic signatures, and regulation for each catchment. Data were collected from various sources, such as the Swedish Meteorological and Hydrological Institute, the Swedish Geological Survey, and several Copernicus products provided by the European Environment Agency. The compiled, spatially-matched, and processed data are publicly available online through the Swedish National Data Service (https://snd.se/en), contributing a new region to the collection of existing CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets. The CAMELS-SE dataset spans a wide range of hydroclimatic, topographic, and environmental catchment properties, making it a valuable resource for researchers and practitioners to study hydrological processes, climate dynamics, environmental impacts, and sustainable water management strategies in Nordic regions.

Abstract Image

Abstract Image

CAMELS-SE:作为建模、教育和合作资源的瑞典 50 个流域的长期水文气候观测(1961-2020 年
本文介绍了一个社区可访问的数据集,该数据集包括在瑞典 50 个集水区(中位数面积为 1019 平方公里)观测到的每日水文气候变量(降水、温度和溪流)。该数据集涵盖 60 年的时间(1961-2020 年),包括每个集水区的地理位置、土地覆盖、土壤类别、水文特征和调节信息。数据收集自各种来源,如瑞典气象水文研究所、瑞典地质调查局以及欧洲环境署提供的几个哥白尼产品。这些经过编译、空间匹配和处理的数据可通过瑞典国家数据服务(https://snd.se/en)在线公开获取,为现有的 CAMELS(用于大样本研究的流域属性和气象学)数据集的收集提供了一个新的区域。CAMELS-SE 数据集涵盖了广泛的水文气候、地形和环境集水属性,是研究人员和从业人员研究北欧地区水文过程、气候动态、环境影响和可持续水资源管理策略的宝贵资源。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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