CHARACTERIZATION OF FUTURE CLIMATE VARIABILITY IN OROMIA SPECIAL ZONE, NORTH EASTERN ETHIOPIA

2021 ◽  
Vol 12 (09) ◽  
pp. 450-465
Author(s):  
Yimer Mohammed ◽  
Gashaw Bimrew ◽  
Lisanwork Nigatu
Keyword(s):  
Climate Variability ◽  
Software Tool ◽  
Analysis Data ◽  
Future Climate ◽  
Eastern Ethiopia ◽  
Web Based ◽  
North Eastern ◽  
Arc Gis ◽  
Special Zone

This study was undertaken in Oromia special zone of nort eastern Ethiopia to analyze future climate variability. Downscale future rainfall and temperature data from ensemble of three GCMs by RCP4.5 emission scenario using a web based software tool (Marksim GCM). Standard statistical descriptors and statistical software like Instat V3.37, MAKESENS, XLSTAT 2014 and Arc GIS 10.1 were employed for the analysis data.

scholarly journals Responses of runoff to historical and future climate variability over China

2018 ◽  
Vol 22 (3) ◽  
pp. 1971-1991 ◽  
Author(s):  
Chuanhao Wu ◽  
Bill X. Hu ◽  
Guoru Huang ◽  
Peng Wang ◽  
Kai Xu
Keyword(s):  
Climate Variability ◽  
Arid Regions ◽  
Eastern China ◽  
Aridity Index ◽  
Future Climate ◽  
Western China ◽  
Climate Projections ◽  
Positive Contribution ◽  
North Eastern ◽  
The Mean

Abstract. China has suffered some of the effects of global warming, and one of the potential implications of climate warming is the alteration of the temporal–spatial patterns of water resources. Based on the long-term (1960–2008) water budget data and climate projections from 28 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5), this study investigated the responses of runoff (R) to historical and future climate variability in China at both grid and catchment scales using the Budyko-based elasticity method. Results show that there is a large spatial variation in precipitation (P) elasticity (from 1.1 to 3.2) and potential evaporation (PET) elasticity (from −2.2 to −0.1) across China. The P elasticity is larger in north-eastern and western China than in southern China, while the opposite occurs for PET elasticity. The catchment properties' elasticity of R appears to have a strong non-linear relationship with the mean annual aridity index and tends to be more significant in more arid regions. For the period 1960–2008, the climate contribution to R ranges from −2.4 to 3.6 % yr−1 across China, with the negative contribution in north-eastern China and the positive contribution in western China and some parts of the south-west. The results of climate projections indicate that although there is large uncertainty involved in the 28 GCMs, most project a consistent change in P (or PET) in China at the annual scale. For the period 2071–2100, the mean annual P is projected to increase in most parts of China, especially the western regions, while the mean annual PET is projected to increase in all of China, particularly the southern regions. Furthermore, greater increases are projected for higher emission scenarios. Overall, due to climate change, the arid regions and humid regions of China are projected to become wetter and drier in the period 2071–2100, respectively (relative to the baseline 1971–2000).

scholarly journals Adaptability and genotype-environment interaction of finger millet (Eleusine coracana (L.) Gaertn) varieties in North Eastern Ethiopia

2018 ◽  
Vol 13 (26) ◽  
pp. 1331-1337
Author(s):  
Mamo Mulugeta ◽  
Worede Fisseha ◽  
Bezie Yemata ◽  
Assefa Solomon ◽  
Gebremariam Tsegaye
Keyword(s):  
Finger Millet ◽  
Eleusine Coracana ◽  
Environment Interaction ◽  
Eastern Ethiopia ◽  
Genotype Environment Interaction ◽  
North Eastern

APOLO-Teens, a web-based intervention for treatment-seeking adolescents with overweight or obesity: study protocol and baseline characterization of a Portuguese sample

2018 ◽  
Vol 25 (2) ◽  
pp. 453-463
Author(s):  
Sofia Ramalho ◽  
Pedro F. Saint-Maurice ◽  
Diana Silva ◽  
Helena Ferreira Mansilha ◽  
Cátia Silva ◽  
...  
Keyword(s):  
Study Protocol ◽  
Treatment Seeking ◽  
Web Based ◽  
Overweight Or Obesity

scholarly journals Detection and characterization of the SARS-CoV-2 lineage B.1.526 in New York

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Anthony P. West ◽  
Joel O. Wertheim ◽  
Jade C. Wang ◽  
Tetyana I. Vasylyeva ◽  
Jennifer L. Havens ◽  
...  
Keyword(s):  
New York ◽  
Viral Evolution ◽  
Software Tool ◽  
Neutralization Titer ◽  
The Public ◽  
Wide Scale ◽  
Health Relevance ◽  
Second Wave ◽  
Variant Database

AbstractWide-scale SARS-CoV-2 genome sequencing is critical to tracking viral evolution during the ongoing pandemic. We develop the software tool, Variant Database (VDB), for quickly examining the changing landscape of spike mutations. Using VDB, we detect an emerging lineage of SARS-CoV-2 in the New York region that shares mutations with previously reported variants. The most common sets of spike mutations in this lineage (now designated as B.1.526) are L5F, T95I, D253G, E484K or S477N, D614G, and A701V. This lineage was first sequenced in late November 2020. Phylodynamic inference confirmed the rapid growth of the B.1.526 lineage. In concert with other variants, like B.1.1.7, the rise of B.1.526 appears to have extended the duration of the second wave of COVID-19 cases in NYC in early 2021. Pseudovirus neutralization experiments demonstrated that B.1.526 spike mutations adversely affect the neutralization titer of convalescent and vaccinee plasma, supporting the public health relevance of this lineage.

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