[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[[["This page provides access to a variety of datasets related to evapotranspiration, including global and regional products."],["Datasets offer different temporal resolutions, ranging from daily to monthly, and spatial resolutions, from 500m to 0.5 degrees."],["Several datasets incorporate drought indices, such as SPI, SPEI, and EDDI, derived from meteorological data."],["Many datasets are based on models like Penman-Monteith, MOD16, and SSEBop, and utilize satellite imagery (e.g., MODIS, Landsat)."],["OpenET datasets offer an ensemble of evapotranspiration estimates from various models for the CONUS region."]]],["The core content focuses on datasets related to evapotranspiration (ET) and drought indices. These datasets provide information on ET, its components, and related variables like gross primary product (GPP), and drought conditions. Several datasets use different methodologies, including Penman-Monteith, MODIS, and various OpenET models, to estimate ET at varying resolutions (500m to 4km) and temporal scales (daily, 8-day, monthly). Other data presented are the Standardized Precipitation-Evapotranspiration Index (SPEI) and other drought indices like SPI, EDDI, and PDSI. Spatial coverage ranges from global to specific regions like Australia and CONUS.\n"]]