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落基山生物实验室的气候数据(1975 - 2022年)。

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

作者信息

Prather Rebecca M, Underwood Nora, Dalton Rebecca M, Barr Billy, Inouye Brian D

机构信息

Department of Biological Science, Florida State University, Tallahassee, Florida, USA.

Rocky Mountain Biological Laboratory, Crested Butte, Colorado, USA.

出版信息

Ecology. 2023 Nov;104(11):e4153. doi: 10.1002/ecy.4153. Epub 2023 Sep 25.

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.

摘要

落基山生物实验室(RMBL;美国科罗拉多州)是众多研究项目的开展地,这些项目跨越数十年、多个分类群以及从生态学、进化生物学到水文学等诸多研究领域。气候是其中许多工作的重点,并为其他研究提供重要背景。在RMBL附近有五个主要的气候数据源,每个数据源都有独特的变量、格式和时间覆盖范围。这些数据源包括:(1)RMBL驻地的比利·巴尔;(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);(5)俄勒冈州立大学的PRISM气候小组。NOAA和USGS在科罗拉多州克雷斯特德比特设有自动气象站,距离RMBL约10公里,而USDA在斯诺德格拉斯山设有自动气象站,距离RMBL约2.5公里。每个数据集都有独特的空间和时间覆盖范围及格式。尽管利用来自RMBL的数据开展了大量与气候相关问题的研究,但此前的研究人员都必须自行获取和整理气候记录,决定如何处理缺失数据,并重新创建数据摘要。在此,我们提供了一个经过整理的每日观测气候数据集,涵盖1975年至2022年,该数据集融合了所有五个数据源的信息,并包含记录数据处理决策的注释脚本。这些综合气候数据将有助于未来的研究,减少重复劳动,并提高我们跨研究比较结果的能力。该数据集包括降水(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,所有这些信息均可从多个来源公开获取。除了格式化的原始数据外,我们还提供了几个生态分析中常用的新变量,包括生长度日、生长季长度、寒冷严重程度指数、硬霜日数、厄尔尼诺 - 南方涛动指数和干旱指数(标准化降水蒸散指数)。这些新变量是根据每日天气记录计算得出的。在适当情况下,数据还以最小值、最大值、平均值、残差以及包括日、月、季节和年等各种时间尺度的累积量形式呈现。RMBL是一个全球研究中心。在RMBL现场工作的科学家来自许多国家,每年发表约50篇同行评议的出版物。来自世界各地的研究人员也经常使用RMBL的数据进行综合研究,美国各地的教育工作者则使用RMBL的数据进行教学模块。这个经过整理和合并的数据集将对广大受众有用。除了综合合并数据集外,我们还提供原始数据以及用于清理原始数据和创建月度和年度数据集的R代码,这便于使用相同的标准化协议添加更多年份或数据。使用这个数据集不存在版权或专有限制;在出版物或科学活动中使用这些数据时,请引用这篇数据论文。

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