five

Precipitation - BES rain gauge network

收藏
Mendeley Data2024-01-31 更新2024-06-28 收录
下载链接:
https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-bes.3110.170
下载链接
链接失效反馈
资源简介:
Abstract: Rain depth is collected using model 6011-A tipping bucket rain gauges manufactured by All Weather Inc. (formerly Qualimetrics). Two raingauges (RG1 and RG2) are installed at each of eight stations. Each rain gauge tip represents a depth of 0.01 inches of rainfall. Data are recorded by a data logger at the station and telemetered hourly to UMBC, where the data are stored in a data base. The rain gauges are not heated and therefore snow and ice storms are removed from the published record. The QA/QC procedure applied to the raw data includes removal of false tips and snow/ice events, accumulating tip data to a time series in inches/min, applying a laboratory-based calibration curve to the data, and converting corrected data to a one-minute time series in units of mm/min for publication. Type of instrument: Tipping bucket rain gauge Manufacturer: All Weather Inc. (formerly Qualimetrics Inc.) http://www.allweatherinc.com/ Model number: 6011-A Orifice opening: 8 in diameter (20 cm) Sensitivity: 0.01 in (0.25 mm) Manufacturer's specified calibrated accuracy: +/-0.5% at 0.5 in/hr. Manufacturer's specified repeatability: +/-3% Station information Each of eight stations consists of two tipping bucket rain gauges, a data logger (Campbell Scientific CR10X), a power source (10 W solar panel, solar controller, 12V 42 amp-hr battery), and a device for data transmission (Sierra Wireless AirLink Raven RV50). A contract is held with AT+T for data transmission. Raw data (time stamps of 0.01 inch tips) are recorded to the data logger and transmitted hourly via the Raven to University of Maryland, Baltimore County (UMBC) and stored in a data base at UMBC. Data streaming into UMBC are checked after every storm. Raw data can be viewed online at http://his10.umbc.edu/Precip/. If a station fails to transmit data, the station is visited after a storm for troubleshooting. Otherwise, stations are visited every 60 days to remove debris and trim weeds, check wiring and moving parts, clean solar panels, and remove any spider webs and insect nests. The rain gauges are not heated and therefore do not accurately record precipitation during snow and ice events. The rain gauges are deployed at locations listed in Table 1. The following QA/QC procedure is applied to the raw data to prepare for publication. (1) False tips are removed from the records; (2) snow and ice events are removed from the records; (3) a script is applied to the raw data to (a) accumulate the data to one-minute increments to derive a rain-rate time series; (b) apply a laboratory-derived calibration curve to the rain-rate time series, where a calibration is unique to a rain gauge; and � convert the data to desired units for publication (e.g., mm/min). Station name Station ID serial number* RG2 serial number* Carrie Murray Nature Center, WXCMNC, 2821, 2238 Carroll Park Golf Course, WXCPGC, 2244, 2494 Dead Run near Catonsville, WXDRNC, 2473 , 2486 Glyndon Elementary School, WXGFGL, 2126, 2255 Gwynns Falls Near Delight , WXGFND , 2157, 2168 McDonogh School , WXMCDO, 2231 , 2248 Oregon Ridge Park, WXORDG, ,2250 , 2124 UMBC Campus , WXUMBC, 2252 , 2873 * Deployment locations as of 12/31/2017 For further information contact: Claire Welty, UMBC, weltyc@umbc.edu Locations Carrie Murray Nature Center, 39d18m26.09sN, 76d41m42.26sW Carroll Park Golf Course , 39d16m24.93sN, 76d38m54.91sW Dead Run Near Catonsville (DR5), 39d17m45.19sN, 76d44m38.50sW Glyndon Elementary School, 39d28m05.60sN, 76d48m37.80sW Gywnns Falls Near Delight , 39d26m38.01sN, 76d46m57.61sW McDonogh School, 39d23m46.81sN, 76d46m17.07sW Oregon Ridge Park , 39d29m47.65sN, 76d41m20.42sW UMBC, 39d15m15.48sN, 76d42m08.42sW
创建时间:
2024-01-31
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4099个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

中国近海台风路径集合数据集(1945-2024)

1945-2024年度,中国近海台风路径数据集,包含每个台风的真实路径信息、台风强度、气压、中心风速、移动速度、移动方向。 数据源为获取温州台风网(http://www.wztf121.com/)的真实观测路径数据,经过处理整合后形成文件,如使用csv文件需使用文本编辑器打开浏览,否则会出现乱码,如要使用excel查看数据,请使用xlsx的格式。

国家海洋科学数据中心 收录

UAVDT Dataset

The authors constructed a new UAVDT Dataset focused on complex scenarios with new level challenges. Selected from 10 hours raw videos, about 80, 000 representative frames are fully annotated with bounding boxes as well as up to 14 kinds of attributes (e.g., weather condition, flying altitude, camera view, vehicle category, and occlusion) for three fundamental computer vision tasks: object detection, single object tracking, and multiple object tracking.

datasetninja.com 收录

FER2013

FER2013数据集是一个广泛用于面部表情识别领域的数据集,包含28,709个训练样本和7,178个测试样本。图像属性为48x48像素,标签包括愤怒、厌恶、恐惧、快乐、悲伤、惊讶和中性。

github 收录

中国1千米分辨率逐日全天候地表土壤水分数据集(2003-2024)

(1、2025年5月19日对V2.0版本进行了最新更新,本次更新将数据集覆盖时段延伸至2024年年末。 2、2023年5月数据更新提示:本数据集的V2.0版本目前已经更新至2022年底,同时填补了2011年10月至2012年6月的空白时段,V2.0版本整体估算结果与V1.0原始版本相同,已下载的V1.0版本数据亦可放心使用,详情请参阅附件"2023年5月数据更新说明.pdf"。) 地表土壤水分(SSM)是了解地球表面水文过程的关键参数。长期以来,被动微波(PM)技术一直是在卫星遥感尺度上估算SSM的主要选择,而另一方面,PM观测的粗分辨率(通常>10 km)阻碍了其在更细尺度上的应用。虽然已经提出了定量研究,以缩小基于卫星PM的SSM的规模,但很少有产品可供公众使用,以满足1km分辨率和全天候条件下每日重访周期的要求。因此,在本研究中,我们在中国开发了一种具有所有这些特征的SSM产品。该产品是通过在36 km处对基于AMSR-E和AMSR-2的SSM进行降尺度生成的,涵盖了2003-2019年间两台辐射计的所有在轨时间。MODIS光学反射率数据和在多云条件下填补空白的每日热红外地表温度(LST)是降尺度模型的主要数据输入,以实现SSM降尺度结果的“全天候”质量。4月至9月期间,这一开发的SSM产品的每日图像在全国范围内实现了准完全覆盖。在其他月份,与最初的每日PM观测值相比,开发产品的全国覆盖率也大大提高。我们根据2000多个专业气象和土壤水分观测站的现场土壤水分测量结果对该产品进行了评估,发现该产品的精度在晴空到多云的所有天气条件下都是稳定的,无偏RMSE的站平均值在0.053 cm3/cm3到0.056 cm3/cm3之间。此外,评估结果还表明,开发的产品在1km分辨率下明显优于广为人知的SMAP Sentinel(主被动微波)组合SSM产品。这表明,我们开发的产品在改善未来水文过程、农业、水资源和环境管理相关调查方面可能带来的潜在重要效益。

国家青藏高原科学数据中心 收录

ERCOT电网综合数据集

ERCOT电网综合数据集是由德克萨斯A&M大学和哈佛大学的研究团队创建的,旨在支持电力系统中的多元时间序列预测。该数据集包含五年内的负荷、电价、辅助服务价格和可再生能源发电数据,具有每小时的时间分辨率和区域级别的详细信息。数据集的创建过程结合了高分辨率的外部预测数据,以提高预测精度。该数据集主要应用于电力系统的预测和优化,旨在解决电网中由于可再生能源集成和需求变化带来的不确定性问题。

arXiv 收录