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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Format: | Other Agricultural Study |
Language: | English en_US |
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2014
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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 |
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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 |