Aridity indices to assess desertification susceptibility: a methodological approach using gridded climate data and cartographic modeling

2022 ◽  
Author(s):  
Janaína Cassiano dos Santos ◽  
Gustavo Bastos Lyra ◽  
Marcel Carvalho Abreu ◽  
José Francisco de Oliveira-Júnior ◽  
Leonardo Bohn ◽  
...  
Keyword(s):  
Methodological Approach ◽  
Climate Data ◽  
Cartographic Modeling ◽  
Gridded Climate Data ◽  
Aridity Indices

scholarly journals Aridity Indices to Assess Desertification Susceptibility: A Methodological Approach Using Gridded Climate Data

2021 ◽  
Author(s):  
Janaína Cassiano dos Santos ◽  
Gustavo Bastos Lyra ◽  
Marcel Carvalho de Abreu ◽  
José Francisco de Oliveira-Júnior ◽  
Leonardo Bohn ◽  
...  
Keyword(s):  
Air Temperature ◽  
Methodological Approach ◽  
Aridity Index ◽  
Good Precision ◽  
Climate Data ◽  
Humid Climate ◽  
Global Precipitation Climatology Centre ◽  
Temperature And Precipitation ◽  
Aridity Indices

Abstract Desertification is a land degradation phenomenon with dire and irreversible consequences, affecting different regions of the world. Assessment of spatial susceptibility to desertification requires long-term series of precipitation (P) and evapotranspiration (PET). An approach to desertification analysis is the use of spatially gridded time series of air temperature and precipitation, derived from spatial interpolation of in situ measurements and available globally. The aim of this article was to estimate the susceptibility to desertification over Southeast Brazil using monthly gridded data from the Global Precipitation Climatology Centre (GPCC), and from the Global Historical Climatology Network (GHCN). Two indices were used to estimate desertification susceptibility: the aridity index Ia (P/PET) and D (PET/P). Validation of these datasets was performed using in situ observations (1961—2010) from the National Institute of Meteorology (INMET) – (68 weather stations). Determination coefficient (r²) and the Willmott’s coefficient of agreement (d) between gridded and observed data revealed satisfactory accuracy and precision for grids of precipitation (r2 > 0.93, d > 0.90), air temperature (r2 > 0.94, d > 0.53) and PET (r2 > 0.93, d > 0.63). Areas susceptible to desertification were identified by the index Ia over the Northern regions of Minas Gerais and Rio de Janeiro states. No areas susceptible to desertification were identified using the index D. However, both indices indicated large areas of dry sub-humid climate, which can be strongly affected by drought conditions. Overall, climate gridded variables presented good precision and accuracy when used to identify areas susceptible to desertification.

Listening to Inuit and Naskapi peoples in the eastern Canadian Subarctic: a quantitative comparison of local observations with gridded climate data

2017 ◽  
Vol 18 (1) ◽  
pp. 189-203 ◽  
Author(s):  
Michel Rapinski ◽  
◽  
Fanny Payette ◽  
Oliver Sonnentag ◽  
Thora Martina Herrmann ◽  
...  
Keyword(s):  
Quantitative Comparison ◽  
Climate Data ◽  
Gridded Climate Data

scholarly journals Practices and Strategies for Adaptation to Climate Variability in Family Farming. An Analysis of Cases of Rural Communities in the Andes Mountains of Colombia and Chile

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1096
Author(s):  
Carla Marchant Santiago ◽  
Paulina Rodríguez Díaz ◽  
Luis Morales-Salinas ◽  
Liliana Paz Betancourt ◽  
Luis Ortega Fernández
Keyword(s):  
Rural Communities ◽  
Climate Variability ◽  
Methodological Approach ◽  
Climate Data ◽  
Family Farming ◽  
Mountainous Regions ◽  
The Andes ◽  
Adaptation Practices ◽  
Self Production

Climate variability imposes greater challenges on family farming and especially on rural communities in vulnerable mountainous regions such as the Andes in Latin America. Changes in rainfall patterns and fluctuations in temperatures cause a greater frequency of extreme events, increased pests, and crop diseases, which even lead to food insecurity in communities that depend on self-production for survival. This is why strategies need to be developed to face this new scenario. Two cases of adaptation experiences to the effects of climate variability in rural communities in Chile (Araucanía Region) and Colombia (Cauca Department) were analyzed on this paper. For this, a mixed methodological approach was adopted that included the analysis of climate data, socioeconomic, and productive characterization of the communities, and a characterization of adaptation practices for both cases. The results show various ways of adapting mainly to changes in the availability and access of water for the development of agriculture and for domestic use. Likewise, it is shown that in order to be successful, the measures for facing climate variability must be part of coordinated strategies under a community-based adaptation approach and not developed in isolation.

scholarly journals Calculating Human Health Risks with General Weather Data

Eos ◽  
2021 ◽  
Vol 102 ◽  
Author(s):  
Sarah Derouin
Keyword(s):  
Human Health ◽  
Health Risks ◽  
Mortality Risk ◽  
Weather Data ◽  
Data Sets ◽  
Weather Station ◽  
Climate Data ◽  
Human Mortality ◽  
Human Health Risks ◽  
Gridded Climate Data

Gridded climate data sets are just as effective as weather station data at assessing human mortality risk related to heat and cold, researchers suggest.

scholarly journals Detecting Extreme Events in Gridded Climate Data

2016 ◽  
Vol 80 ◽  
pp. 2397-2401 ◽  
Author(s):  
Bharathkumar Ramachandra ◽  
Krishna Karthik Gadiraju ◽  
Ranga Raju Vatsavai ◽  
Dale P. Kaiser ◽  
Thomas P. Karnowski
Keyword(s):  
Extreme Events ◽  
Climate Data ◽  
Gridded Climate Data
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