Monthly aggregated Water Vapor MODIS MCD19A2 (1 km): Monthly time-series (2000-2002)

This data is part of the <em>Monthly aggregated Water Vapor MODIS MCD19A2 (1 km)</em> dataset. Check the related identifiers section on the Zenodo side panel to access other parts of the dataset.<strong>General Description</strong>The monthly aggregated water vapor dataset is derived from MCD19A2 v061. The Water Vapor data measures the column above ground retrieved from MODIS near-IR bands at 0.94μm. The dataset time spans from 2000 to 2022 and provides data that covers the entire globe. The dataset can be used in many applications like water cycle modeling, vegetation mapping, and soil mapping. This dataset includes:<strong>Monthly time-series:</strong><br>Derived from <em>MCD19A2 v061</em>, this data provides a monthly aggregated mean and standard deviation of daily water vapor time-series data from 2000 to 2022. Only positive non-cloudy pixels were considered valid observations to derive the mean and the standard deviation. The remaining no-data values were filled using the TMWM algorithm. This dataset also includes smoothed mean and standard deviation values using the Whittaker method. The quality assessment layers and the number of valid observations for each month can provide an indication of the reliability of the monthly mean and standard deviation values.<strong>Yearly time-series:</strong><br>Derived from <em>monthly time-series</em>, this data provides a yearly time-series aggregated statistics of the monthly time-series data.<strong>Long-term data (2000-2022):</strong><br>Derived from <em>monthly time-series</em>, this data provides long-term aggregated statistics for the whole series of monthly observations.<strong>Data Details</strong><strong>Time period:</strong> 2000–2002<strong>Type of data:</strong> Water vapor column above the ground (0.001cm)<strong>How the data was collected or derived:</strong> Derived from MCD19A2 v061 using Google Earth Engine. Cloudy pixels were removed and only positive values of water vapor were considered to compute the statistics. The time-series gap-filling and time-series smoothing were computed using the Scikit-map Python package.<strong>Statistical methods used:</strong> Four statistics were derived: mean, standard deviation, smoothed mean, smoothed standard deviation.<strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Antarctica.<strong>Coordinate reference system:</strong> EPSG:4326<strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (-180.00000, -62.00081, 179.99994, 87.37000)<strong>Spatial resolution:</strong> 1/120 d.d. = 0.008333333 (1km)<strong>Image size:</strong> 43,200 x 17,924<strong>File format:</strong> Cloud Optimized Geotiff (COG) format.<strong>Support</strong>If you discover a bug, artifact, or inconsistency, or if you have a question please use some of the following channels:Technical issues and questions about the code: GitLab IssuesGeneral questions and comments: LandGIS Forum<strong>Name convention</strong>To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:generic variable name: wv = Water vaporvariable procedure combination: mcd19a2v061.seasconv = MCD19A2 v061 with gap-filling algorithmPosition in the probability distribution / variable type: m = mean | sd = standard deviation | n = number of observations | qa = quality assessmentSpatial support: 1kmDepth reference: s = surfaceTime reference begin time: 20000101 = 2000-01-01Time reference end time: 20021231 = 2002-12-31Bounding box: go = global (without Antarctica)EPSG code: epsg.4326 = EPSG:4326Version code: v20230619 = 2023-06-19 (creation date)本数据集隶属于*月度聚合水汽MODIS MCD19A2（1 km）*数据集集合。如需获取该数据集的其他分卷，请查看Zenodo侧边栏的相关标识符板块。 **总体概述** 本月度聚合水汽数据集衍生自MCD19A2 v061。该水汽数据为通过MODIS (Moderate Resolution Imaging Spectroradiometer) 0.94μm近红外波段反演得到的地表上空大气柱水汽含量。本数据集时间跨度为2000年至2022年，覆盖全球全域，可应用于水循环模拟、植被制图、土壤制图等诸多场景。本数据集包含以下内容： **月度时间序列** 本数据源自*MCD19A2 v061*，提供2000年至2022年每日水汽时间序列的月度聚合均值与标准差。仅将正值且无云的像元视为有效观测值，用于计算均值与标准差；剩余无数据值通过TMWM算法完成填充。本数据集同时包含采用Whittaker方法平滑得到的均值与标准差结果。各月的质量评估图层与有效观测像元数量，可用于表征月度均值与标准差结果的可靠性。 **年度时间序列** 本数据源自*月度时间序列*，提供基于月度时间序列数据聚合得到的年度时间序列统计量。 **长期数据（2000-2022）** 本数据源自*月度时间序列*，提供全月度观测序列的长期聚合统计量。 **数据详情** **时间范围：** 2000–2002 **数据类型：** 地表上空大气柱水汽含量（单位：0.001厘米） **数据采集与衍生方式：** 通过Google Earth Engine从MCD19A2 v061衍生得到。移除云覆盖像元，仅保留水汽正值用于统计量计算；时间序列间隙填充与平滑处理通过Scikit-map Python工具包完成。 **采用的统计方法：** 共衍生得到四类统计量：均值、标准差、平滑均值、平滑标准差。 **数据局限与排除项：** 本数据集未包含南极洲区域的数据。 **坐标参考系统：** EPSG:4326 **空间 bounding box（X最小值、Y最小值、X最大值、Y最大值）：** (-180.00000, -62.00081, 179.99994, 87.37000) **空间分辨率：** 1/120 十进制度 = 0.008333333（1千米） **影像尺寸：** 43,200 × 17,924 **文件格式：** 云优化GeoTIFF（"Cloud Optimized Geotiff"，COG）格式。 **技术支持** 若您发现程序缺陷、数据瑕疵或不一致性，或有相关疑问，请通过以下渠道反馈： 代码相关技术问题与咨询：GitLab Issues 通用咨询与意见反馈：LandGIS 论坛 **命名规范** 为确保各项目内外的命名一致性与易用性，本数据集遵循Open-Earth-Monitor标准文件命名规范。该规范通过10个字段描述数据的关键属性，使用户可无需打开文件即可完成文件检索、数据分析准备等操作。各字段说明如下： 通用变量名：wv = 水汽（Water vapor） 变量与处理流程组合：mcd19a2v061.seasconv = 采用间隙填充算法处理的MCD19A2 v061数据 概率分布位置/变量类型：m = 均值 | sd = 标准差 | n = 有效观测像元数量 | qa = 质量评估 空间分辨率：1km 深度参考：s = 地表 时间参考起始时间：20000101 = 2000-01-01 时间参考结束时间：20021231 = 2002-12-31 空间范围：go = 全球（不含南极洲） EPSG代码：epsg.4326 = EPSG:4326 版本代码：v20230619 = 2023-06-19（数据创建日期）