2018
DOI: 10.1016/j.ijdrr.2018.02.025
|View full text |Cite
|
Sign up to set email alerts
|

Understanding the use of 2015–2016 El Niño forecasts in shaping early humanitarian action in Eastern and Southern Africa

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
43
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 35 publications
(43 citation statements)
references
References 55 publications
0
43
0
Order By: Relevance
“…3.5. Impact of capacity building and co-production of knowledge in the uptake of WCS Professional development of personnel working at NMHSs is a critical factor in the provision and delivery of WCS in SSA (Lamb et al 2011, WMO 2013, De La Poterie et al 2018, Hansen et al (2019). This review shows that capacity building courses provided to personnel through different projects should include: engagement in the conceptualisation of WCS to facilitate the development of forecasting products that maximise societal value; guidance on how to download outputs from global forecasting systems and cascade them to their country level, the interpretation and verification of forecasts at different timescales, training on the use of new forecast products and software, computer coding and the use of high performance computers.…”
Section: Addressing Barriersmentioning
confidence: 99%
“…3.5. Impact of capacity building and co-production of knowledge in the uptake of WCS Professional development of personnel working at NMHSs is a critical factor in the provision and delivery of WCS in SSA (Lamb et al 2011, WMO 2013, De La Poterie et al 2018, Hansen et al (2019). This review shows that capacity building courses provided to personnel through different projects should include: engagement in the conceptualisation of WCS to facilitate the development of forecasting products that maximise societal value; guidance on how to download outputs from global forecasting systems and cascade them to their country level, the interpretation and verification of forecasts at different timescales, training on the use of new forecast products and software, computer coding and the use of high performance computers.…”
Section: Addressing Barriersmentioning
confidence: 99%
“…For this analysis, we used the Living Conditions Monitoring Survey (Central Statistical Office, 2017) which collected data in April/May 2015 (Central Statistical Office, 2016), well before the onset of the 2015–2016 El Niño events (Tozier et al., 2018). We compared production from Section 10 of the schedule for the close‐to‐normal crop harvested in 2014 with annualized consumption based on purchases and own production from Section 11A to infer net buyer/net seller status for each household in the survey.…”
Section: Vulnerability To Declining Maize Yields In Zambiamentioning
confidence: 99%
“…Where x is the hydroclimate variable (drought indices or flow) been analyzed and y is El Niño or IOD. t is the dimensionless time-shift parameter, 𝑊 𝑥𝑦 (𝑠, 𝑡) is the cross wavelet transform of the two-time series, 𝑊 𝑥 and 𝑊 𝑦 are the sums of ranks of observations in x and y, respectively, and S is a smoothing operator, which was calculated based on the approach of Torrence and Compo 60 .…”
Section: Statistical Analysis Trends and Change Point Of Nrb's Hydroclimatementioning
confidence: 99%