مورد إلكتروني
Evaluation of WaPOR V2 evapotranspiration products across Africa
| العنوان: | Evaluation of WaPOR V2 evapotranspiration products across Africa |
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| المؤلفون: | Blatchford, M. L. Mannaerts, C. M. Njuki, S. M. Nouri, H. Zeng, Y. Pelgrum, H. Wonink, S. Karimi, P. |
| المصدر: | 34; 15; 3200-3221 |
| بيانات النشر: | Wiley; 2020 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | The Food and Agricultural Organization of the United Nations (FAO) portal to monitor water productivity through open-access of remotely sensed derived data (WaPOR) offers continuous actual evapotranspiration and interception (ETIa-WPR) data at a 10-day basis across Africa and the Middle East from 2009 onwards at three spatial resolutions. The continental level (250 m) covers Africa and the Middle East (L1). The national level (100 m) covers 21 countries and 4 river basins (L2). The third level (30 m) covers eight irrigation areas (L3). To quantify the uncertainty of WaPOR version 2 (V2.0) ETIa-WPR in Africa, we used a number of validation methods. We checked the physical consistency against water availability and the long-term water balance and then verify the continental spatial and temporal trends for the major climates in Africa. We directly validated ETIaWPR against in situ data of 14 eddy covariance stations (EC). Finally, we checked the level consistency between the different spatial resolutions. Our findings indicate that ETIa-WPR is performing well, but with some noticeable overestimation. The ETIa-WPR is showing expected spatial and temporal consistency with respect to climate classes. ETIa-WPR shows mixed results at point scale as compared to EC flux towers with an overall correlation of 0.71, and a root mean square error of 1.2 mm/day. The level consistency is very high between L1 and L2. However, the consistency between L1 and L3 varies significantly between irrigation areas. In rainfed areas, the ETIa-WPR is overestimating at low ETIa-WPR and underestimating when ETIa is high. In irrigated areas, ETIa-WPR values appear to be consistently overestimating ETa. The relative soil moisture content (SMC), the input of quality layers and local advection effects were some of the identified causes. The quality assessment of ETIa-WPR product is enhanced by combining multiple evaluation methods. Based on the results, the ETIa-WPR dataset is of enough quality to con |
| مصطلحات الفهرس: | actual evapotranspiration; remote sensing; assessment; water resources management; Africa, journal article |
| DOI: | https:..doi.org.10.1002.hyp.13791 |
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| الإتاحة: | Open access content. Open access content CC BY 4.0 https://creativecommons.org/licenses/by/4.0 |
| أرقام أخرى: | NEUNE oai:cdm21063.contentdm.oclc.org:p21063coll3/10170 DOI: https://doi.org/10.1002/hyp.13791 1191784076 |
| المصدر المساهم: | IHE DELFT INST FOR WATER ED LIBR SERVS From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1191784076 |
| قاعدة البيانات: | OAIster |
| DOI: | https:..doi.org.10.1002.hyp.13791 |
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