Climate data from the Rocky Mountain Biological Laboratory (1975–2022)

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2023-08-23 DOI:10.1002/ecy.4153
Rebecca M. Prather, Nora Underwood, Rebecca M. Dalton, billy barr, Brian D. Inouye
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引用次数: 1

Abstract

The Rocky Mountain Biological Laboratory (RMBL; Colorado, USA) is the site for many research projects spanning decades, taxa, and research fields from ecology to evolutionary biology to hydrology and beyond. Climate is the focus of much of this work and provides important context for the rest. There are five major sources of data on climate in the RMBL vicinity, each with unique variables, formats, and temporal coverage. These data sources include (1) RMBL resident billy barr, (2) the National Oceanic and Atmospheric Administration (NOAA), (3) the United States Geological Survey (USGS), (4) the United States Department of Agriculture (USDA), and (5) Oregon State University's PRISM Climate Group. Both the NOAA and the USGS have automated meteorological stations in Crested Butte, CO, ~10 km from the RMBL, while the USDA has an automated meteorological station on Snodgrass Mountain, ~2.5 km from the RMBL. Each of these data sets has unique spatial and temporal coverage and formats. Despite the wealth of work on climate-related questions using data from the RMBL, previous researchers have each had to access and format their own climate records, make decisions about handling missing data, and recreate data summaries. Here we provide a single curated climate data set of daily observations covering the years 1975–2022 that blends information from all five sources and includes annotated scripts documenting decisions for handling data. These synthesized climate data will facilitate future research, reduce duplication of effort, and increase our ability to compare results across studies. The data set includes information on precipitation (water and snow), snowmelt date, temperature, wind speed, soil moisture and temperature, and stream flows, all publicly available from a combination of sources. In addition to the formatted raw data, we provide several new variables that are commonly used in ecological analyses, including growing degree days, growing season length, a cold severity index, hard frost days, an index of El Niño-Southern Oscillation, and aridity (standardized precipitation evapotranspiration index). These new variables are calculated from the daily weather records. As appropriate, data are also presented as minima, maxima, means, residuals, and cumulative measures for various time scales including days, months, seasons, and years. The RMBL is a global research hub. Scientists on site at the RMBL come from many countries and produce about 50 peer-reviewed publications each year. Researchers from around the world also routinely use data from the RMBL for synthetic work, and educators around the United States use data from the RMBL for teaching modules. This curated and combined data set will be useful to a wide audience. Along with the synthesized combined data set we include the raw data and the R code for cleaning the raw data and creating the monthly and yearly data sets, which facilitate adding additional years or data using the same standardized protocols. No copyright or proprietary restrictions are associated with using this data set; please cite this data paper when the data are used in publications or scientific events.

落基山生物实验室的气候数据(1975-2022)。
落基山生物实验室(RMB L;美国科罗拉多州)是许多研究项目的所在地,这些项目跨越了几十年、分类群和研究领域,从生态学到进化生物学再到水文学等等。气候是这项工作的重点,并为其他工作提供了重要的背景。有五个主要的气候数据来源,每一个都有独特的变量、格式和时间覆盖范围。这些数据来源包括:(1)RMB L居民billy barr,(2)美国国家海洋和大气管理局(NOAA),(3)美国地质调查局(USGS),(4)美国农业部(USDA),以及(5)俄勒冈州立大学的PRISM气候小组。美国国家海洋和大气管理局和美国地质调查局在科罗拉多州的Crested Butte都有自动化气象站,大约10个 距离RMB L公里,而美国农业部在Snodgrass山上有一个自动化气象站,约2.5 距离RMB L公里。这些数据集中的每一个都具有独特的空间和时间覆盖范围和格式。尽管使用RBL的数据在气候相关问题上做了大量工作,但之前的研究人员都必须访问和格式化自己的气候记录,就处理缺失的数据做出决定,并重新创建数据摘要。在这里,我们提供了一个涵盖1975-2022年的每日观测的单一气候数据集,该数据集融合了来自所有五个来源的信息,并包括记录数据处理决策的注释脚本。这些综合的气候数据将有助于未来的研究,减少重复工作,并提高我们比较研究结果的能力。该数据集包括降水量(水和雪)、融雪日期、温度、风速、土壤湿度和温度以及溪流流量等信息,所有这些信息都可以从多种来源公开获取。除了格式化的原始数据外,我们还提供了生态分析中常用的几个新变量,包括生长度天数、生长季节长度、寒冷程度指数、霜冻天数、厄尔尼诺-南方涛动指数和干旱度(标准化降水蒸发蒸腾指数)。这些新的变量是根据每日天气记录计算出来的。在适当的情况下,数据也以各种时间尺度(包括天、月、季节和年)的最小值、最大值、平均值、残差和累积度量表示。加拿大皇家科学院是一个全球研究中心。RMB L现场的科学家来自许多国家,每年出版约50本同行评审的出版物。来自世界各地的研究人员也经常使用来自RMB L的数据进行综合工作,美国各地的教育工作者也使用来自RMB的数据进行教学模块。这个精心策划和组合的数据集将对广大受众有用。除了合成的组合数据集,我们还包括原始数据和R代码,用于清理原始数据并创建月度和年度数据集,这有助于使用相同的标准化协议添加额外的年份或数据。使用此数据集不存在任何版权或专有限制;当数据被用于出版物或科学事件时,请引用这篇数据论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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