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    Home / Central Data Catalog / WLD_2020_PFC_V01_M / variable [F1]
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Predicting Food Crises 2020, Dataset for reproducing working paper results

Afghanistan, Burkina Faso, Ethiopia, Guatemala, Haiti, Kenya, Mali, Mozambique, Mauritania, Malawi, Niger, Nigeria, Sudan, Somalia, South Sudan, ..., 2007 - 2020
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Reference ID
WLD_2020_PFC_v01_M
DOI
https://doi.org/10.48529/bwmq-rh91
Producer(s)
Bo Pieter Johannes Andree, Andres Chamorro, Aart Kraay, Phoebe Spencer, Dieter Wang
Collection(s)
Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 02, 2020
Last modified
Apr 26, 2021
Page views
20777
Downloads
1885
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  • predicting_food_crises_data

Evapotranspiration mean (et_mean)

Data file: predicting_food_crises_data

Overview

Valid: 183483
Invalid: 113
Minimum: 0
Maximum: 47.904
Type: Continuous
Decimal: 0
Start: 178
End: 193
Width: 16
Range: 0 - 47.9041900634766
Format: Numeric

Description

Definition
Evapotranspiration is a measurement of the amount of water required for plant growth. The algorithm used for the MOD16 data product collection is based on the logic
of the Penman-Monteith equation, which includes inputs of daily
meteorological reanalysis data along with MODIS remotely sensed data
products such as vegetation property dynamics, albedo, and land cover.
Source of information
Modis (Terra 8-day 500m)

Others

Notes
Frequency: Raw images (5-day) are aggregated to the monthly level using the average value. Monthly images are summarized to the district level using the average value.
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