disaggregation_of_yield_and_irrigation
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disaggregation_of_yield_and_irrigation [2020/03/29 07:49] – [Disaggregation of yield and irrigation] matsz | disaggregation_of_yield_and_irrigation [2020/03/29 07:54] – [Downscaling of other CAPRI regional data] matsz | ||
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====Downscaling of other CAPRI regional data==== | ====Downscaling of other CAPRI regional data==== | ||
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+ | No information on time series of irrigation shares and currently no time series of PESETA yields for irrigated and rainfed situation are available. Therefore, we apply the principle of the primacy of stable yield spatial distributions. | ||
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+ | Yield data are simply scaled to match the regional average yield in CAPRI. | ||
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+ | Before doing so, the data are checked if any crop is grown in a region where it is not available in the prior data set. | ||
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+ | ====Data sets==== | ||
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+ | Update pending | ||
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+ | SAPM 2010 – Irrigation shares by crop and region \\ | ||
+ | FAO irrigation map \\ | ||
+ | PESETA water limited and potential yields | ||
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+ | ====Data preparation (disyield.gms)==== | ||
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+ | ===Consistency between SAPM (2010) and FAO irrigation map=== | ||
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+ | Irrigation shares from SAPM (2010) are obtained from farmers’ surveys, while the FAO irrigation map is obtained from remote sensing data. We consider therefore the data from SAPM (2010) more reliable and scale FAO data, so that the average irrigation share of all crops and spatial units in a region matches the data from SAPM (2010) to obtain the priors for the irrigation share per spatial unit: | ||
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+ | \begin{equation} | ||
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+ | \end{equation} | ||
+ | \end{equation} |
disaggregation_of_yield_and_irrigation.txt · Last modified: 2022/11/07 10:23 by 127.0.0.1