咸海流域降雨量数据集（2015-2018）

数据内容：咸海流域2015年-2018年降雨量数据。 数据来源及加工方法：来源于美国国家航空航天局新一代的全球降水计划GPM(Global Precipitation Measurement，V06，全球降水观测计划)，对三小时的降雨量数据相加得到日降雨量，再累计相加得到八天降雨量。 数据质量：空间分辨率为0.1°×0.1°，时间分辨率为8天，每个像元的值为八天降雨量之和。 数据应用成果：在气候变化背景下，可用于气象要素和植被特征相关关系分析。Data Content: Rainfall data of the Aral Sea Basin spanning from 2015 to 2018. Data Source and Processing Methods: This dataset is sourced from the National Aeronautics and Space Administration (NASA)'s next-generation Global Precipitation Measurement (GPM, V06) mission. The 3-hourly rainfall data are first summed to calculate daily rainfall totals, which are then further accumulated to obtain 8-day cumulative rainfall sums. Data Quality: The dataset has a spatial resolution of 0.1° × 0.1° and a temporal resolution of 8 days, with each pixel's value representing the total rainfall over the corresponding 8-day period. Data Application Outcomes: Under the context of climate change, this dataset can be used to analyze the correlation between meteorological elements and vegetation characteristics.

搜集汇总

背景与挑战

背景概述

该数据集包含2015年至2018年咸海流域的降雨量数据，来源于美国国家航空航天局的全球降水观测计划（GPM），空间分辨率为0.1°×0.1°，时间分辨率为8天，适用于气候变化背景下的气象和植被关系分析。