Google Earth Engine（GEE）——基于粮农组织秘鲁Penman-Monteith的参考ET网格化数据库（PISCOeo_pm）

基于粮农组织秘鲁Penman-Monteith的参考ET网格化数据库（PISCOeo_pm）

PISCOeo_pm是为1981-2016年秘鲁整个大陆领土开发的，空间分辨率约为1公里（0.01°）。PISCOeo_pm的开发框架是基于之前生成的气象子变量网格化数据，如气温（最高和最低）、日照时间、露点温度和风速。前言 – 人工智能教程

不同的步骤，即(i)质量控制，(ii)填补空白，(iii)同质化，和(iv)空间插值，被应用于这些子变量。PISCOeo_pm对于更好地理解秘鲁的陆地水和能量平衡，以及在气候学、水文学和农学等领域的应用是非常有用的。点击这里阅读论文全文PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru | Scientific Data

Citation¶

Huerta, A., Bonnesoeur, V., Cuadros-Adriazola, J., Gutierrez, L. F., Ochoa-Tocachi, B. F., Román-Dañobeytia, F., & Lavado-Casimiro, W.. (2022). PISCOeo_pm, a
reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru. Nature Scientific Data. https://doi.org/10.1038/s41597-022-01373-8

Data Citation¶

Huerta, A., Bonnesoeur, V., Cuadros-Adriazola, J., Gutierrez, L. F., Ochoa-Tocachi, B. F., Román-Dañobeytia, F., & Lavado-Casimiro, W.. (2022). Reference
evapotranspiration gridded database based on FAO Penman-Monteith for Peru (PISCOeo_pm) V.1.0. SENAMHI-Perú. https://doi.org/10.6084/m9.figshare.c.5633182.v3

Currently included layers are:

Earth Engine Snippet: Yearly mean data¶

var PISCOeo_pm_yearly = ee.ImageCollection('users/lgutierrezlf/PISCOeo_pm/yearly')

Earth Engine Snippet: Monthly climatology data¶

var PISCOeo_pm_climatology = ee.ImageCollection('users/lgutierrezlf/PISCOeo_pm/climatology')

Earth Engine Snippet: Monthly data¶

var PISCOeo_pm_monthly = ee.ImageCollection('users/lgutierrezlf/PISCOeo_pm/monthly')

Earth Engine Snippet: Daily data¶

var PISCOeo_pm_daily = ee.ImageCollection('users/lgutierrezlf/PISCOeo_pm/daily')

Web Application PISCOeo_pm in GEE¶

PISCOeo_pm_ts

Resolution: 0.01° (or roughly 1km x 1km)

app code : https://code.earthehttps://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/REFERENCE-ET-GRIDDED-PERU

License:¶

This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy and redistribute the material in any medium or format, and to transform and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made.

Curated by: Gutierrez Leonardo & Samapriya Roy

Keywords: reference evapotranspiration, FAO Penman Monteith, Peru, hydrology, satellite data, Earth observation, GIS.

Last updated: 27/06/2022