ICT-Based High-Resolution Weather and Climate Research for an Early-Warning System for Agricultural Disasters

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 1097

Special Issue Editors


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Guest Editor
National Center for AgroMeteorology (NCAM), Seoul 08826, Republic of Korea
Interests: earth system modeling; numerical weather prediction; regional climate simulation; land-air-water-life interaction; user-customized data processing
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Guest Editor
National Institute of Agricultural Sciences, Wanju 55365, Republic of Korea
Interests: agro-meteorology; agro-meteorological services; agricultural disasters; climate change; disaster prevention

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Guest Editor
National Center for AgroMeteorology (NCAM), Suwon 16200, Republic of Korea
Interests: agronomy; field crop science; agricultural ecology

Special Issue Information

Dear Colleagues,

Meteorological and climatological disasters such as heavy rainfall, floods, droughts, and typhoons threaten the stable supply of agricultural products and the income of farmers. Overall, the frequency and intensity of such disasters are increasing under the changing climate. We aim to reduce the damage caused by natural hazards through adopting preventative measures including greenhouse cultivation. A more complete system with efficient disaster-reduction capability is required to mitigate the impact of extreme weather. The development of climate-smart agriculture can help reduce the impact of natural hazards on food production systems and improve the livelihoods of farming communities. Specifically, the further development of disaster prevention technology is required in important crop-production areas. Such technology should provide pre-disaster warnings and facilitate the identification of disaster-affected areas and aid in conducting post-disaster surveys for the rehabilitation of crops. Disaster prevention technology can also be used to clarify the critical conditions of different crops and growth periods, estimate the probability of crop losses, and establish a complete knowledge database of crop disasters.

In this Special Issue, we will emphasize concepts and practices related to reducing agricultural weather disaster risks through systematic efforts to analyze and reduce the causal factors of disasters. This Special Issue will include articles on the sensible management of crops and the environment using innovative disaster prevention technologies, setup of the early-warning systems which send SNS messages to farmers, and evaluation of vulnerability to cultivation and economic losses as a result of disasters. In particular, we invite information and communication technology vendors to demonstrate the latest products for environmental monitoring and crop disaster (or cultivation) warning systems. We hope this collection of articles will aid in expanding climate smart agriculture and reducing the impact of natural hazards on food production systems through a multidimensional discussion.

Dr. Seung-Jae Lee
Dr. Kyo-Moon Shim
Dr. Byong-Lyol Lee
Guest Editors

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Keywords

  • agrometeorological disaster
  • early-warning system
  • weather risk index
  • farmstead-specific weather data
  • high-resolution weather and climate model
  • downscaling and upscaling
  • agrometeorological service
  • crop phenology
  • diseases and insects
  • frost
  • hail
  • wind gusts
  • heavy rainfall
  • drought

Published Papers (1 paper)

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Review

15 pages, 5307 KiB  
Review
Farmstead-Specific Weather Risk Prediction Technique Based on High-Resolution Weather Grid Distribution
by Dae-Jun Kim, Jin-Hee Kim, Eun-Jeong Yun, Dae Gyoon Kang and Eunhye Ban
Atmosphere 2024, 15(1), 116; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos15010116 - 18 Jan 2024
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Abstract
In recent years, the importance and severity of weather-related disasters have escalated, attributed to rising temperatures and the occurrence of extreme weather events due to global warming. The focus of disaster management has shifted from crisis management (e.g., repairing and recovering from damage [...] Read more.
In recent years, the importance and severity of weather-related disasters have escalated, attributed to rising temperatures and the occurrence of extreme weather events due to global warming. The focus of disaster management has shifted from crisis management (e.g., repairing and recovering from damage caused by natural disasters) to risk management (e.g., prediction and preparation) while concentrating on early warning, thanks to the development of media and communication conditions. The Rural Development Administration (Korea) has developed the “early warning service for weather risk management in the agricultural sector” that detects weather risks for crops from high-resolution weather information in advance and provides customized information to respond to possible disaster risks in advance in response to the increasing number of extreme weather events. The core technology of this service is damage prediction technology that determines the overall agricultural weather risk level by quantifying the current growth stage of cultivated crops and the probability of possible weather disasters according to the weather conditions of the farm. Agrometeorological disasters are damages caused by weather conditions that can affect crops and can be predicted by estimating the probability of damage that may occur from the interaction between hazardous weather and crop characteristics. This review introduces the classification of possible weather risks by their occurrence mechanisms, based on the developmental stage of crops and prediction techniques that have been developed or applied to date. The accumulated crop growth and weather risk information is expected to be utilized as support material for farming decision-making, which helps farmers proactively respond to crop damage due to extreme weather events by providing highly reliable disaster forecasts through the advancement of prediction technology. Full article
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