Meteorological applications | |
Seasonal forecasts of the SINTEX-F coupled model applied to maize yield and streamflow estimates over north-eastern South Africa | |
article | |
J. Malherbe1  W. A. Landman2  C. Olivier4  H. Sakuma5  J- J. Luo6  | |
[1] Institute for Soil, Agricultural Research Council;Council for Scientific and Industrial Research;Department of Geography, University of Pretoria;South African Weather Service;Research Institute for Global Change (RIGC) of the Japan Agency for Marine-Earth Science and Technology (JAMSTEC);Centre for Australian Weather and Climate Research | |
关键词: coupled global model; crop forecast; streamflow forecast; South Africa; principal component regression; model output statistics; | |
DOI : 10.1002/met.1402 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Wiley | |
【 摘 要 】
Forecasts of a Global Coupled Model for austral summer with a 1 month lead are downscaled to end-of-season maize yields and accumulated streamflow over the Limpopo Province and adjacent districts in northeastern South Africa through application of an MOS (Model Output Statistics) approach applied over a 28 year period. Promising results, based on the hindcasts of the Global Models and historically observed yield and streamflow data, suggest potential for a commodity-orientated forecast system for application in agriculture in an operational environment. It also serves as a baseline study for inclusion of sophisticated crop or runoff models using GCM output data towards estimating potential yields and streamflows in the region.
【 授权许可】
CC BY|CC BY-NC|CC BY-NC-ND
【 预 览 】
Files | Size | Format | View |
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RO202107100002095ZK.pdf | 1137KB | download |