Changes for document AFRICA

From version 26.1
edited by S2S_regionact
on 2022/01/20 14:39
To version 27.1
edited by S2S_regionact
on 2022/01/20 19:57
Change comment: There is no comment for this version

Content changes

... ... @@ -40,24 +40,42 @@
40 40
41 41 **2021**
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44 +
45 +de Andrade, F.M., Young, M.P., MacLeod, D., Hirons, L.C., Woolnough, S.J. and Black, E., 2021. Subseasonal Precipitation Prediction for Africa: Forecast Evaluation and Sources of Predictability. //Weather and Forecasting//, //36//(1), pp.265-284.
46 +
43 43 Endris, H.S., Hirons, L., Segele, Z.T., Gudoshava, M., Woolnough, S. and Artan, G.A., 2021. Evaluation of the Skill of Monthly Precipitation Forecasts from Global Prediction Systems over the Greater Horn of Africa. //Weather and Forecasting//, //36//(4), pp.1275-1298.
44 44
45 -Hirons, L., Woolnough, S., Dione, C., Thompson, E., de Andrade, F., Talib, J., Konte, O., Diedhiou, T., Quaye, D., Opoku, N. and Lawal, K., 2021. GCRF African SWIFT White Paper Policy Brief. Exploiting Sub-seasonal Forecast Predictability in Africa: a key to sustainable development.
49 +Engelbrecht, C.J., Phakula, S., Landman, W.A. and Engelbrecht, F.A., 2021. Subseasonal deterministic prediction skill of low-level geopotential height affecting southern Africa. //Weather and Forecasting//, //36//(1), pp.195-205.
46 46
51 +Guigma, K.H., MacLeod, D., Todd, M. and Wang, Y., 2021. Prediction skill of Sahelian heatwaves out to subseasonal lead times and importance of atmospheric tropical modes of variability. //Climate Dynamics//, pp.1-20.
52 +
47 47 Hirons, L., Thompson, E., Dione, C., Indasi, V.S., Kilavi, M., Nkiaka, E., Talib, J., Visman, E., Adefisan, E.A., de Andrade, F. and Ashong, J., 2021. Using co-production to improve the appropriate use of sub-seasonal forecasts in Africa. //Climate Services//, //23//, p.100246.
48 48
55 +Hirons, L., Woolnough, S., Dione, C., Thompson, E., de Andrade, F., Talib, J., Konte, O., Diedhiou, T., Quaye, D., Opoku, N. and Lawal, K., 2021. GCRF African SWIFT White Paper Policy Brief. Exploiting Sub-seasonal Forecast Predictability in Africa: a key to sustainable development.
56 +
57 +Kolstad, E.W., 2021. Prediction and precursors of Idai and 38 other tropical cyclones and storms in the Mozambique Channel. //Quarterly Journal of the Royal Meteorological Society//, //147//(734), pp.45-57.
58 +
59 +Kolstad, E.W., Macleod, D. and Demissie, T.D., 2021. Drivers of subseasonal forecast errors of the East African short rains. //Geophysical Research Letters//, //48//(14), p.e2021GL093292.
60 +
61 +Lawal, K.A., Olaniyan, E., Ishiyaku, I., Hirons, L.C., Thompson, E., Talib, J., Boult, V.L., Ogungbenro, S.B., Gbode, I.E., Ajayi, V.O. and Okogbue, E.C., 2021. Progress and challenges of demand-led co-produced sub-seasonal-to-seasonal (S2S) climate forecasts in Nigeria. //Frontiers in Climate//, p.109.
62 +
63 +MacLeod, D.A., Dankers, R., Graham, R., Guigma, K., Jenkins, L., Todd, M.C., Kiptum, A., Kilavi, M., Njogu, A. and Mwangi, E., 2021. Drivers and subseasonal predictability of heavy rainfall in equatorial East Africa and relationship with flood risk. //Journal of Hydrometeorology//, //22//(4), pp.887-903.
64 +
65 +Moron, V. and Robertson, A.W., 2021. Relationships between subseasonal‐to‐seasonal predictability and spatial scales in tropical rainfall. //International Journal of Climatology//.
66 +
67 +Musonda, B., Jing, Y., Nyasulu, M. and Mumo, L., 2021. Evaluation of sub-seasonal to seasonal rainfall forecast over Zambia. //Journal of Earth System Science//, //130//(1), pp.1-12.
68 +
49 49 Parker, D.J., Blyth, A.M., Woolnough, S.J., Dougill, A.J., Bain, C.L., de Coning, E., Diop-Kane, M., Kamga Foamouhoue, A., Lamptey, B., Ndiaye, O. and Ruti, P., 2021. The African SWIFT project: growing science capability to bring about a revolution in weather prediction. //Bulletin of the American Meteorological Society//, pp.1-53.
50 -)))(((
51 -Mwangi, E., Taylor, O., Todd, M.C., Visman, E., Kniveton, D., Kilavi, M., Ndegwa, W., Otieno, G., Waruru, S., Mwangi, J. and Ambani, M., 2021. Mainstreaming forecast based action into national disaster risk management systems: experience from drought risk management in Kenya. //Climate and Development//, pp.1-16.
52 52
53 -White, C.J., Domeisen, D.I., Acharya, N., Adefisan, E.A., Anderson, M.L., Aura, S., Balogun, A.A., Bertram, D., Bluhm, S., Brayshaw, D.J. and Browell, J., 2021. Advances in the application and utility of subseasonal-to-seasonal predictions. //Bulletin of the American Meteorological Society//, pp.1-57.
71 +Silvério, K.C. and Grimm, A.M., 2021. Southern African monsoon: intraseasonal variability and monsoon indices. //Climate Dynamics//, pp.1-28.
72 +
73 +Youds, L.H., Parker, D.J., Adefisan, E.A., Antwi-Agyei, P., Bain, C.L., Black, E.C.L., Blyth, A.M., Dougill, A.J., Hirons, L.C., Indasi, V.S. and Lamptey, B.L., 2021. GCRF African SWIFT and ForPAc SHEAR White Paper on the Potential of Operational Weather Prediction to Save Lives and Improve Livelihoods and Economies in Sub-Saharan Africa.
74 +
75 +Zhou, X., Chen, L., Umuhoza, J., Cheng, Y., Wang, L. and Wang, R., 2021. Intraseasonal oscillation of the rainfall variability over Rwanda and evaluation of its subseasonal forecasting skill. //Atmospheric and Oceanic Science Letters//, //14//(6), p.100099.
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