Agricultural Drought Monitoring and Impacts Assessment

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 2838

Special Issue Editors


E-Mail Website
Guest Editor
National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), São José dos Campos 12247-016, Brazil
Interests: drought monitoring; climate; biometeorology

E-Mail Website
Guest Editor
National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), São José dos Campos 12247-016, Brazil
Interests: drought monitoring; drought risk

Special Issue Information

Dear Colleagues,

Droughts are defined as significant deficits in precipitation that evolve into impacts on vegetation and water resources depending on their strength and duration. Agricultural drought is the result of a water deficiency in the soil and consequent water stress to plants, causing a reduction in crop yields. In general, agriculture is the first sector to be affected by drought since soil moisture is the first component of the hydrological system to be affected. Regions with widespread use of rainfed agriculture are especially vulnerable and frequently affected by drought impacts. Overall, the impacts of droughts are experienced in many sectors which rely on water resources, especially those related to the food–water–energy nexus. Climate change is expected to alter the current spatial and temporal patterns of drought worldwide. Thus, the constant improvement and validation of monitoring tools is imperative to support policies around the world on climate change mitigation.

The focus of this Special Issue is on monitoring and forecasting agricultural drought and associated impacts using current and projected datasets of climate, monitoring networks, remote sensing products, and innovative tools for data analysis. Papers that focus on the integration of current data sources and impact assessment of droughts and agricultural drought trends and future scenarios and/or forecasting are especially welcome.

Dr. Marcelo Zeri
Dr. Ana Paula Cunha
Guest Editors

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Keywords

  •  Droughts
  •  Climate
  •  Remote sensing
  •  Meteorology
  •  Drought monitoring

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Published Papers (1 paper)

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Research

24 pages, 44208 KiB  
Article
Predictability of Intra-Seasonal Descriptors of Rainy Season over Senegal Using Global SST Patterns
by Abdou Kader Touré, Cheikh Modou Noreyni Fall, Moussa Diakhaté, Dahirou Wane, Belen Rodríguez-Fonseca, Ousmane Ndiaye, Mbaye Diop and Amadou Thierno Gaye
Atmosphere 2022, 13(9), 1437; https://doi.org/10.3390/atmos13091437 - 6 Sep 2022
Cited by 2 | Viewed by 2387
Abstract
Seasonal forecasting of the rainfall characteristics in Sahel is of crucial interest in determining crop variability in these countries. This study aims to provide further characterization of nine rainfall metrics over Senegal (Onset, cessation, LRS, CDD, CDD7, CDD15, NR90p, NR95p, NR99p) and their [...] Read more.
Seasonal forecasting of the rainfall characteristics in Sahel is of crucial interest in determining crop variability in these countries. This study aims to provide further characterization of nine rainfall metrics over Senegal (Onset, cessation, LRS, CDD, CDD7, CDD15, NR90p, NR95p, NR99p) and their response to global SST patterns from 1981 to 2018. The Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) dataset and the Hadley Centre Global Sea Ice and Sea Surface Temperature (HadISST) were used. The results showed strong spatio-temporal variability with a pronounced south–north gradient for all metrics. The earliest onset was observed in the south of the country from 4 July and the latest onset in the north from 9 August. Since 2012, a new regime is observed with an increase in both long dry spells and extreme wet events. Furthermore, SST forcing has shown that the North tropical Atlantic and the East Equatorial Pacific are better able to explain the interannual variability of the intraseasonal descriptors. However, the prediction of metrics is earlier for the most remote basin (Pacific) compared to the most local basin (Atlantic). These results have implications for the seasonal forecasting of Sahel’s intraseasonal variability based on SST predictors, as significant predictability is found far from the beginning of the season. Full article
(This article belongs to the Special Issue Agricultural Drought Monitoring and Impacts Assessment)
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