Weather Data Grids for Agriculture Risk Management : The Case of Honduras and Guatemala

One of the major constraints for the improvement of agricultural risk management in Central America, and in particular to the development of weather index-based insurance, is the availability of complete meteorological data. Limitations with the da...

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Main Author: World Bank
Format: Other Agricultural Study
Language:English
en_US
Published: Washington, DC 2014
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2013/01/17731954/weather-data-grids-agriculture-risk-management-case-honduras-guatemala
http://hdl.handle.net/10986/16501
id okr-10986-16501
recordtype oai_dc
spelling okr-10986-165012021-04-23T14:03:31Z Weather Data Grids for Agriculture Risk Management : The Case of Honduras and Guatemala World Bank ABSORPTION AIR ALBEDO ALTITUDE APPLIED METEOROLOGY AREA ASPECT ATMOSPHERE ATMOSPHERIC ADMINISTRATION ATMOSPHERIC MODELS ATMOSPHERIC PRESSURE ATMOSPHERIC SCIENCES AUTOCORRELATION BLUE CENTER CENTRE CLIMATE CLIMATE CHANGE CLIMATE CHANGE SCENARIOS CLIMATE DATA CLIMATE MODELS CLIMATE PREDICTION CLIMATE REGIMES CLIMATE RESEARCH CLIMATE RESEARCH UNIT CLIMATES CLIMATIC EVENTS CLIMATOLOGY CLOUDS COLORS CONVERGENCE CRU DAILY PRECIPITATION DATA MODEL DOMAIN DROUGHT DROUGHT INSURANCE DROUGHT RISK EVAPOTRANSPIRATION EXTREME CLIMATIC EVENTS EXTREME EVENTS FLOOD FLOODS FROST GASES GEOGRAPHICAL INFORMATION GIS HURRICANES HYDROLOGY HYDROMETEOROLOGY INTERPOLATION KRIGING LAND SURFACE LAND-SURFACE MAXIMUM TEMPERATURE MAXIMUM TEMPERATURES METEOROLOGICAL DATA METEOROLOGICAL INFORMATION METEOROLOGICAL OBSERVATIONS METEOROLOGICAL VARIABLES METEOROLOGY MINIMUM TEMPERATURE MINIMUM TEMPERATURES NATIONAL METEOROLOGICAL SERVICE PARTICULATES PRECIPITATION RAIN RAINFALL RAINFALL PATTERNS REGIONAL ANALYSIS SCIENTISTS SEA LEVEL PRESSURE SEASON SENSIBLE HEAT FLUX SLOPE SNOW SOLAR RADIATION SPATIAL ANALYSIS SPATIAL RESOLUTION SURFACE EVAPORATION SURFACE GRADIENT SURFACE MODEL TEMPERATURE TEMPERATURES TEMPORAL RESOLUTION VULNERABLE REGIONS WEATHER WEATHER DATA WEATHER FORECASTS WEATHER INSURANCE WEATHER RECORDS WEATHER SERVICES WEATHER STATION WEATHER STATIONS WEATHER VARIABLES One of the major constraints for the improvement of agricultural risk management in Central America, and in particular to the development of weather index-based insurance, is the availability of complete meteorological data. Limitations with the data are related to restrictions in weather station coverage (density), and problems with the quality (errors and gaps in the information) and availability of historical records. This paper evaluates the reconstruction of historical meteorological records with gridded datasets for Honduras and Guatemala1 using the methodology in Uribe Alcantara et al. (2009).The reconstruction with synthetic series is implemented by replacing missing observations with estimations from regular grids (or gridded analyses). The development of synthetic series proposed here will facilitate, among other potential uses, the implementation of risk analysis in insurance contracts where meteorological information is limited or incomplete. This paper is organized in four sections. Section one describes the conceptual approach and methods implemented for the evaluation of the data and the development of the gridded analysis. Section two describes the results of the implementation of the gridded analysis for Honduras and Guatemala. Section three provides a brief description of possible applications of the regular grids for the development of weather insurance contracts. Section four summarizes the main conclusions. 2014-01-06T23:13:14Z 2014-01-06T23:13:14Z 2013-01 http://documents.worldbank.org/curated/en/2013/01/17731954/weather-data-grids-agriculture-risk-management-case-honduras-guatemala http://hdl.handle.net/10986/16501 English en_US CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Washington, DC Economic & Sector Work :: Other Agricultural Study Economic & Sector Work Latin America & Caribbean
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic ABSORPTION
AIR
ALBEDO
ALTITUDE
APPLIED METEOROLOGY
AREA
ASPECT
ATMOSPHERE
ATMOSPHERIC ADMINISTRATION
ATMOSPHERIC MODELS
ATMOSPHERIC PRESSURE
ATMOSPHERIC SCIENCES
AUTOCORRELATION
BLUE
CENTER
CENTRE
CLIMATE
CLIMATE CHANGE
CLIMATE CHANGE SCENARIOS
CLIMATE DATA
CLIMATE MODELS
CLIMATE PREDICTION
CLIMATE REGIMES
CLIMATE RESEARCH
CLIMATE RESEARCH UNIT
CLIMATES
CLIMATIC EVENTS
CLIMATOLOGY
CLOUDS
COLORS
CONVERGENCE
CRU
DAILY PRECIPITATION
DATA MODEL
DOMAIN
DROUGHT
DROUGHT INSURANCE
DROUGHT RISK
EVAPOTRANSPIRATION
EXTREME CLIMATIC EVENTS
EXTREME EVENTS
FLOOD
FLOODS
FROST
GASES
GEOGRAPHICAL INFORMATION
GIS
HURRICANES
HYDROLOGY
HYDROMETEOROLOGY
INTERPOLATION
KRIGING
LAND SURFACE
LAND-SURFACE
MAXIMUM TEMPERATURE
MAXIMUM TEMPERATURES
METEOROLOGICAL DATA
METEOROLOGICAL INFORMATION
METEOROLOGICAL OBSERVATIONS
METEOROLOGICAL VARIABLES
METEOROLOGY
MINIMUM TEMPERATURE
MINIMUM TEMPERATURES
NATIONAL METEOROLOGICAL SERVICE
PARTICULATES
PRECIPITATION
RAIN
RAINFALL
RAINFALL PATTERNS
REGIONAL ANALYSIS
SCIENTISTS
SEA LEVEL PRESSURE
SEASON
SENSIBLE HEAT FLUX
SLOPE
SNOW
SOLAR RADIATION
SPATIAL ANALYSIS
SPATIAL RESOLUTION
SURFACE EVAPORATION
SURFACE GRADIENT
SURFACE MODEL
TEMPERATURE
TEMPERATURES
TEMPORAL RESOLUTION
VULNERABLE REGIONS
WEATHER
WEATHER DATA
WEATHER FORECASTS
WEATHER INSURANCE
WEATHER RECORDS
WEATHER SERVICES
WEATHER STATION
WEATHER STATIONS
WEATHER VARIABLES
spellingShingle ABSORPTION
AIR
ALBEDO
ALTITUDE
APPLIED METEOROLOGY
AREA
ASPECT
ATMOSPHERE
ATMOSPHERIC ADMINISTRATION
ATMOSPHERIC MODELS
ATMOSPHERIC PRESSURE
ATMOSPHERIC SCIENCES
AUTOCORRELATION
BLUE
CENTER
CENTRE
CLIMATE
CLIMATE CHANGE
CLIMATE CHANGE SCENARIOS
CLIMATE DATA
CLIMATE MODELS
CLIMATE PREDICTION
CLIMATE REGIMES
CLIMATE RESEARCH
CLIMATE RESEARCH UNIT
CLIMATES
CLIMATIC EVENTS
CLIMATOLOGY
CLOUDS
COLORS
CONVERGENCE
CRU
DAILY PRECIPITATION
DATA MODEL
DOMAIN
DROUGHT
DROUGHT INSURANCE
DROUGHT RISK
EVAPOTRANSPIRATION
EXTREME CLIMATIC EVENTS
EXTREME EVENTS
FLOOD
FLOODS
FROST
GASES
GEOGRAPHICAL INFORMATION
GIS
HURRICANES
HYDROLOGY
HYDROMETEOROLOGY
INTERPOLATION
KRIGING
LAND SURFACE
LAND-SURFACE
MAXIMUM TEMPERATURE
MAXIMUM TEMPERATURES
METEOROLOGICAL DATA
METEOROLOGICAL INFORMATION
METEOROLOGICAL OBSERVATIONS
METEOROLOGICAL VARIABLES
METEOROLOGY
MINIMUM TEMPERATURE
MINIMUM TEMPERATURES
NATIONAL METEOROLOGICAL SERVICE
PARTICULATES
PRECIPITATION
RAIN
RAINFALL
RAINFALL PATTERNS
REGIONAL ANALYSIS
SCIENTISTS
SEA LEVEL PRESSURE
SEASON
SENSIBLE HEAT FLUX
SLOPE
SNOW
SOLAR RADIATION
SPATIAL ANALYSIS
SPATIAL RESOLUTION
SURFACE EVAPORATION
SURFACE GRADIENT
SURFACE MODEL
TEMPERATURE
TEMPERATURES
TEMPORAL RESOLUTION
VULNERABLE REGIONS
WEATHER
WEATHER DATA
WEATHER FORECASTS
WEATHER INSURANCE
WEATHER RECORDS
WEATHER SERVICES
WEATHER STATION
WEATHER STATIONS
WEATHER VARIABLES
World Bank
Weather Data Grids for Agriculture Risk Management : The Case of Honduras and Guatemala
geographic_facet Latin America & Caribbean
description One of the major constraints for the improvement of agricultural risk management in Central America, and in particular to the development of weather index-based insurance, is the availability of complete meteorological data. Limitations with the data are related to restrictions in weather station coverage (density), and problems with the quality (errors and gaps in the information) and availability of historical records. This paper evaluates the reconstruction of historical meteorological records with gridded datasets for Honduras and Guatemala1 using the methodology in Uribe Alcantara et al. (2009).The reconstruction with synthetic series is implemented by replacing missing observations with estimations from regular grids (or gridded analyses). The development of synthetic series proposed here will facilitate, among other potential uses, the implementation of risk analysis in insurance contracts where meteorological information is limited or incomplete. This paper is organized in four sections. Section one describes the conceptual approach and methods implemented for the evaluation of the data and the development of the gridded analysis. Section two describes the results of the implementation of the gridded analysis for Honduras and Guatemala. Section three provides a brief description of possible applications of the regular grids for the development of weather insurance contracts. Section four summarizes the main conclusions.
format Economic & Sector Work :: Other Agricultural Study
author World Bank
author_facet World Bank
author_sort World Bank
title Weather Data Grids for Agriculture Risk Management : The Case of Honduras and Guatemala
title_short Weather Data Grids for Agriculture Risk Management : The Case of Honduras and Guatemala
title_full Weather Data Grids for Agriculture Risk Management : The Case of Honduras and Guatemala
title_fullStr Weather Data Grids for Agriculture Risk Management : The Case of Honduras and Guatemala
title_full_unstemmed Weather Data Grids for Agriculture Risk Management : The Case of Honduras and Guatemala
title_sort weather data grids for agriculture risk management : the case of honduras and guatemala
publisher Washington, DC
publishDate 2014
url http://documents.worldbank.org/curated/en/2013/01/17731954/weather-data-grids-agriculture-risk-management-case-honduras-guatemala
http://hdl.handle.net/10986/16501
_version_ 1764434171980152832