全球25公里3小时分辨率大气液态水量数据集（2010-2020）

1. 数据内容
本数据根据科技部重点研发项目“全球能量循环和水循环关键参数的立体观测与遥感反演”的子课题“能量循环关键参数反演算法和产品研制”的“全球云水参数遥感产品”研发任务要求，基于小时分辨率ERA5云液态水含量和降雨量再分析数据整合得到的全球2010-2020年25km/3小时分辨率的大气液态水含量产品。

2. 数据来源及加工方法
数据来源：欧洲中期天气预报中心最新的ERA5 云液态水含量和降雨量再分析数据
加工方法：数据整合+时间降尺度

3. 数据质量描述
本数据基于ERA5云产品制作，已有研究表明ERA5云产品与Himawari-8相关度较高（r=0.91）。

4. 数据应用成果及前景
大气液态水含量（Liquid water path, LWP）是地表到大气层顶的柱状中包含的液态水的重量，单位通常为kg/m2，大气液态水含量对研究地表和大气顶辐射和能量收支有重要意义。

1. Data Content
This dataset was developed by integrating hourly ERA5 reanalysis data of cloud liquid water content and precipitation, to meet the requirements of the R&D task of "Remote Sensing Products of Global Cloud-Water Parameters" under the sub-topic "Development of Retrieval Algorithms and Products for Key Parameters of Energy Cycles" of the Key R&D Program of the Ministry of Science and Technology of China titled "Stereoscopic Observation and Remote Sensing Retrieval of Key Parameters of Global Energy and Water Cycles". The final product is a global atmospheric liquid water content product with a spatial resolution of 25 km and a temporal resolution of 3 hours, covering the period from 2010 to 2020.
2. Data Source and Processing Method
Data Source: The latest ERA5 reanalysis data of cloud liquid water content and precipitation from the European Centre for Medium-Range Weather Forecasts (ECMWF)
Processing Method: Data integration + temporal downscaling
3. Data Quality Description
This dataset is developed based on ERA5 cloud products. Existing studies have shown that ERA5 cloud products have a high correlation with Himawari-8 data, with a correlation coefficient r=0.91.
4. Data Application Achievements and Prospects
Atmospheric liquid water content (Liquid Water Path, LWP) refers to the total mass of liquid water contained in the atmospheric column from the surface to the top of the atmosphere, usually with the unit of kg/m². LWP plays a significant role in the study of surface and top-of-atmosphere radiation and energy budgets.

搜集汇总

背景与挑战

背景概述

该数据集是基于ERA5再分析数据整合生成的全球大气液态水含量产品，覆盖2010年至2020年，具有25公里空间分辨率和3小时时间分辨率，总数据量为136.83 GB。它通过数据整合和时间降尺度方法加工，数据质量较高（与Himawari-8相关度r=0.91），主要用于研究地表和大气顶的辐射与能量收支，支持全球水循环和气候分析。